{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a1b2c3d4",
   "metadata": {},
   "source": [
    "# How-To: Scan Area Detector with Motor(s)\n",
    "\n",
    "**Goals**\n",
    "\n",
    "- Use an EPICS motor (`gp:m1`) as the independent axis.\n",
    "- Use an EPICS area detector (`ad:`) to collect images at each step.\n",
    "- Record ROI statistics (total counts, maximum value, unique ID) **without** saving image files.\n",
    "- Run several scan plans: `bp.count`, `bp.scan` (1-D), `bp.scan` (2 motors), `bp.grid_scan` (2-D mesh).\n",
    "\n",
    "This notebook requires a live EPICS system.  Use `ad:` for the area detector IOC and `gp:` for the general-purpose IOC (motors)."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b2c3d4e5",
   "metadata": {},
   "source": [
    "## Setup"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "c3d4e5f6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:49:25.281158Z",
     "iopub.status.busy": "2026-03-27T16:49:25.280428Z",
     "iopub.status.idle": "2026-03-27T16:49:36.581118Z",
     "shell.execute_reply": "2026-03-27T16:49:36.580464Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import warnings\n",
    "\n",
    "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n",
    "\n",
    "import databroker\n",
    "import bluesky\n",
    "import bluesky.plans as bp\n",
    "from bluesky.callbacks.best_effort import BestEffortCallback\n",
    "from ophyd import EpicsMotor\n",
    "\n",
    "from apstools.devices import ad_creator\n",
    "\n",
    "cat = databroker.temp()\n",
    "RE = bluesky.RunEngine({})\n",
    "RE.subscribe(cat.v1.insert)\n",
    "bec = BestEffortCallback()\n",
    "RE.subscribe(bec)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d4e5f6a7",
   "metadata": {},
   "source": [
    "## EPICS Devices\n",
    "\n",
    "Connect to the motor and the area detector."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e5f6a7b8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:49:36.584923Z",
     "iopub.status.busy": "2026-03-27T16:49:36.583191Z",
     "iopub.status.idle": "2026-03-27T16:49:36.695645Z",
     "shell.execute_reply": "2026-03-27T16:49:36.694951Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "m1.connected=True  position=1.0000\n",
      "m2.connected=True  position=0.5000\n"
     ]
    }
   ],
   "source": [
    "m1 = EpicsMotor(\"gp:m1\", name=\"m1\")\n",
    "m2 = EpicsMotor(\"gp:m2\", name=\"m2\")\n",
    "m1.wait_for_connection(timeout=10)\n",
    "m2.wait_for_connection(timeout=10)\n",
    "print(f\"{m1.connected=}  position={m1.position:.4f}\")\n",
    "print(f\"{m2.connected=}  position={m2.position:.4f}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f6a7b8c9",
   "metadata": {},
   "source": [
    "Create the area detector using `ad_creator()`.  We include the `cam`, `image`, `pva`,\n",
    "`roi1`, and `stats1` plugins.  The `hdf1` plugin is intentionally **omitted** here —\n",
    "we want ROI statistics only, with no image files written."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a7b8c9d0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:49:36.698066Z",
     "iopub.status.busy": "2026-03-27T16:49:36.697809Z",
     "iopub.status.idle": "2026-03-27T16:49:37.226085Z",
     "shell.execute_reply": "2026-03-27T16:49:37.224635Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "adsimdet.connected=True\n"
     ]
    }
   ],
   "source": [
    "IOC = \"ad:\"\n",
    "\n",
    "adsimdet = ad_creator(\n",
    "    IOC,\n",
    "    name=\"adsimdet\",\n",
    "    plugins=[\"cam\", \"image\", \"pva\", \"roi1\", \"stats1\"],\n",
    ")\n",
    "adsimdet.wait_for_connection(timeout=15)\n",
    "print(f\"{adsimdet.connected=}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b8c9d0e1",
   "metadata": {},
   "source": [
    "## Configure the detector\n",
    "\n",
    "Route the image through the ROI plugin into the Stats plugin, and select which\n",
    "statistics signals to record."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c9d0e1f2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:49:37.230459Z",
     "iopub.status.busy": "2026-03-27T16:49:37.229995Z",
     "iopub.status.idle": "2026-03-27T16:49:37.326252Z",
     "shell.execute_reply": "2026-03-27T16:49:37.324817Z"
    }
   },
   "outputs": [],
   "source": [
    "# Wire up: cam -> roi1 -> stats1\n",
    "adsimdet.roi1.nd_array_port.put(adsimdet.cam.port_name.get())\n",
    "adsimdet.stats1.nd_array_port.put(adsimdet.roi1.port_name.get())\n",
    "\n",
    "# One frame per trigger.\n",
    "adsimdet.cam.stage_sigs[\"num_images\"] = 1\n",
    "adsimdet.cam.stage_sigs[\"wait_for_plugins\"] = \"Yes\"\n",
    "\n",
    "# Non-blocking callbacks for all plugins.\n",
    "adsimdet.image.stage_sigs[\"blocking_callbacks\"] = \"No\"\n",
    "adsimdet.pva.stage_sigs[\"blocking_callbacks\"] = \"No\"\n",
    "adsimdet.roi1.stage_sigs[\"blocking_callbacks\"] = \"No\"\n",
    "adsimdet.stats1.stage_sigs[\"blocking_callbacks\"] = \"No\"\n",
    "\n",
    "# Hint the statistics signals we want in the scan table.\n",
    "adsimdet.stats1.kind = \"hinted\"\n",
    "adsimdet.stats1.total.kind = \"hinted\"\n",
    "adsimdet.stats1.max_value.kind = \"hinted\"\n",
    "adsimdet.stats1.unique_id.kind = \"hinted\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d0e1f2a3",
   "metadata": {},
   "source": [
    "## Visualise the plugin chain"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e1f2a3b4",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:49:37.333112Z",
     "iopub.status.busy": "2026-03-27T16:49:37.332360Z",
     "iopub.status.idle": "2026-03-27T16:49:37.634668Z",
     "shell.execute_reply": "2026-03-27T16:49:37.634319Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "adsimdet.visualize_asyn_digraph()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f2a3b4c5",
   "metadata": {},
   "source": [
    "## `bp.count` — collect statistics without a motor scan"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a3b4c5d6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:49:37.636031Z",
     "iopub.status.busy": "2026-03-27T16:49:37.635887Z",
     "iopub.status.idle": "2026-03-27T16:49:40.111354Z",
     "shell.execute_reply": "2026-03-27T16:49:40.110893Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Transient Scan ID: 1     Time: 2026-03-27 11:49:38\n",
      "Persistent Unique Scan ID: 'c11b47fd-a1fc-467b-9aba-e620aa625656'\n",
      "New stream: 'primary'\n",
      "+-----------+------------+---------------------------+---------------------------+-----------------------+\n",
      "|   seq_num |       time | adsimdet_stats1_unique_id | adsimdet_stats1_max_value | adsimdet_stats1_total |\n",
      "+-----------+------------+---------------------------+---------------------------+-----------------------+\n",
      "|         1 | 11:49:38.2 |                      2276 |                       269 |              29246287 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         2 | 11:49:38.6 |                      2277 |                       270 |              29297297 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         3 | 11:49:39.0 |                      2278 |                       269 |              28175553 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------+------------+---------------------------+---------------------------+-----------------------+\n",
      "generator count ['c11b47fd'] (scan num: 1)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n"
     ]
    },
    {
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       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "  line-height: 1.6;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "  margin-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-obj-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-group-box-contents > label {\n",
       "  color: var(--xr-font-color2);\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item > input,\n",
       ".xr-group-box-contents > input,\n",
       ".xr-array-wrap > input {\n",
       "  display: block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item > input + label,\n",
       ".xr-var-item > input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item > input:enabled + label,\n",
       ".xr-var-item > input:enabled + label,\n",
       ".xr-array-wrap > input:enabled + label,\n",
       ".xr-group-box-contents > input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item > input:focus-visible + label,\n",
       ".xr-var-item > input:focus-visible + label,\n",
       ".xr-array-wrap > input:focus-visible + label,\n",
       ".xr-group-box-contents > input:focus-visible + label {\n",
       "  outline: auto;\n",
       "}\n",
       "\n",
       ".xr-section-item > input:enabled + label:hover,\n",
       ".xr-var-item > input:enabled + label:hover,\n",
       ".xr-array-wrap > input:enabled + label:hover,\n",
       ".xr-group-box-contents > input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "  white-space: nowrap;\n",
       "}\n",
       "\n",
       ".xr-section-summary > em {\n",
       "  font-weight: normal;\n",
       "}\n",
       "\n",
       ".xr-span-grid {\n",
       "  grid-column-end: -1;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked + label > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.6em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details,\n",
       ".xr-group-box-contents > label {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in ~ .xr-section-details {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-children {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 100%;\n",
       "  grid-column: 1 / -1;\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 30px auto;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 26px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > label::before {\n",
       "  content: \"📂\";\n",
       "  padding-right: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked + label::before {\n",
       "  content: \"📁\";\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked + label {\n",
       "  padding-bottom: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-group-box-ellipsis {\n",
       "  font-size: 1.4em;\n",
       "  font-weight: 900;\n",
       "  color: var(--xr-font-color2);\n",
       "  letter-spacing: 0.15em;\n",
       "  cursor: default;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 96B\n",
       "Dimensions:                    (time: 3)\n",
       "Coordinates:\n",
       "  * time                       (time) float64 24B 1.775e+09 1.775e+09 1.775e+09\n",
       "Data variables:\n",
       "    adsimdet_stats1_total      (time) float64 24B 2.925e+07 2.93e+07 2.818e+07\n",
       "    adsimdet_stats1_max_value  (time) float64 24B 268.8 269.9 269.5\n",
       "    adsimdet_stats1_unique_id  (time) int64 24B 2276 2277 2278</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-17a0b906-df43-458e-bc1d-0d6109f05e79' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-17a0b906-df43-458e-bc1d-0d6109f05e79' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 3</li></ul></div></li><li class='xr-section-item'><input id='section-99ffc82e-d047-409f-9625-07ba86f9e8d0' class='xr-section-summary-in' type='checkbox' checked /><label for='section-99ffc82e-d047-409f-9625-07ba86f9e8d0' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.775e+09 1.775e+09 1.775e+09</div><input id='attrs-a5641815-2a9b-4e51-b53a-413d1769c58f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a5641815-2a9b-4e51-b53a-413d1769c58f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5cf07294-9530-4c81-bdee-16327692ab18' class='xr-var-data-in' type='checkbox'><label for='data-5cf07294-9530-4c81-bdee-16327692ab18' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.77463e+09, 1.77463e+09, 1.77463e+09])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-286e5a52-dee4-42c8-9f3e-ad5a0e05761f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-286e5a52-dee4-42c8-9f3e-ad5a0e05761f' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>adsimdet_stats1_total</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.925e+07 2.93e+07 2.818e+07</div><input id='attrs-b26fcbe5-c71f-405b-83f1-f0037a536a5c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b26fcbe5-c71f-405b-83f1-f0037a536a5c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c57780f1-a54e-4fbb-9f53-aa2edb7001de' class='xr-var-data-in' type='checkbox'><label for='data-c57780f1-a54e-4fbb-9f53-aa2edb7001de' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>adsimdet</dd></dl></div><div class='xr-var-data'><pre>array([29246286.93641502, 29297296.66621307, 28175552.61160747])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adsimdet_stats1_max_value</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>268.8 269.9 269.5</div><input id='attrs-19948498-6757-4f0a-be39-dd03a79db034' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-19948498-6757-4f0a-be39-dd03a79db034' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a54e24e7-9bea-49f3-892e-b030e80a2ffd' class='xr-var-data-in' type='checkbox'><label for='data-a54e24e7-9bea-49f3-892e-b030e80a2ffd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>adsimdet</dd></dl></div><div class='xr-var-data'><pre>array([268.76181093, 269.93448306, 269.48204907])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adsimdet_stats1_unique_id</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>2276 2277 2278</div><input id='attrs-1f8ec272-0bc4-4f2c-a601-c75e85fc1a36' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1f8ec272-0bc4-4f2c-a601-c75e85fc1a36' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-6fea6545-2ac5-448c-9002-763873b2c69b' class='xr-var-data-in' type='checkbox'><label for='data-6fea6545-2ac5-448c-9002-763873b2c69b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>adsimdet</dd></dl></div><div class='xr-var-data'><pre>array([2276, 2277, 2278])</pre></div></li></ul></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 96B\n",
       "Dimensions:                    (time: 3)\n",
       "Coordinates:\n",
       "  * time                       (time) float64 24B 1.775e+09 1.775e+09 1.775e+09\n",
       "Data variables:\n",
       "    adsimdet_stats1_total      (time) float64 24B 2.925e+07 2.93e+07 2.818e+07\n",
       "    adsimdet_stats1_max_value  (time) float64 24B 268.8 269.9 269.5\n",
       "    adsimdet_stats1_unique_id  (time) int64 24B 2276 2277 2278"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 500x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "uids = RE(bp.count([adsimdet], num=3))\n",
    "cat.v2[uids[-1]].primary.read()[\n",
    "    [\"adsimdet_stats1_total\", \"adsimdet_stats1_max_value\", \"adsimdet_stats1_unique_id\"]\n",
    "]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b4c5d6e7",
   "metadata": {},
   "source": [
    "## `bp.scan` — 1-D scan with one motor\n",
    "\n",
    "Step `m1` from −1 to +1 in 5 steps, collecting stats at each point."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "c5d6e7f8",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:49:40.112692Z",
     "iopub.status.busy": "2026-03-27T16:49:40.112539Z",
     "iopub.status.idle": "2026-03-27T16:49:48.065038Z",
     "shell.execute_reply": "2026-03-27T16:49:48.064605Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Transient Scan ID: 2     Time: 2026-03-27 11:49:40\n",
      "Persistent Unique Scan ID: '1f640509-2ed0-41af-ace4-a7d1df6c6ce1'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New stream: 'primary'\n",
      "+-----------+------------+------------+---------------------------+---------------------------+-----------------------+\n",
      "|   seq_num |       time |         m1 | adsimdet_stats1_unique_id | adsimdet_stats1_max_value | adsimdet_stats1_total |\n",
      "+-----------+------------+------------+---------------------------+---------------------------+-----------------------+\n",
      "|         1 | 11:49:42.4 |    -1.0000 |                      2279 |                       268 |              29913680 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         2 | 11:49:43.6 |    -0.5000 |                      2280 |                       269 |              30736723 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         3 | 11:49:44.8 |    -0.0000 |                      2281 |                       271 |              30024676 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         4 | 11:49:45.9 |     0.5000 |                      2282 |                       271 |              30500824 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         5 | 11:49:47.0 |     1.0000 |                      2283 |                       267 |              31769754 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------+------------+------------+---------------------------+---------------------------+-----------------------+\n",
      "generator scan ['1f640509'] (scan num: 2)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n"
     ]
    },
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       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, white)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "  line-height: 1.6;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "  margin-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-obj-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-group-box-contents > label {\n",
       "  color: var(--xr-font-color2);\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item > input,\n",
       ".xr-group-box-contents > input,\n",
       ".xr-array-wrap > input {\n",
       "  display: block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item > input + label,\n",
       ".xr-var-item > input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item > input:enabled + label,\n",
       ".xr-var-item > input:enabled + label,\n",
       ".xr-array-wrap > input:enabled + label,\n",
       ".xr-group-box-contents > input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item > input:focus-visible + label,\n",
       ".xr-var-item > input:focus-visible + label,\n",
       ".xr-array-wrap > input:focus-visible + label,\n",
       ".xr-group-box-contents > input:focus-visible + label {\n",
       "  outline: auto;\n",
       "}\n",
       "\n",
       ".xr-section-item > input:enabled + label:hover,\n",
       ".xr-var-item > input:enabled + label:hover,\n",
       ".xr-array-wrap > input:enabled + label:hover,\n",
       ".xr-group-box-contents > input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "  white-space: nowrap;\n",
       "}\n",
       "\n",
       ".xr-section-summary > em {\n",
       "  font-weight: normal;\n",
       "}\n",
       "\n",
       ".xr-span-grid {\n",
       "  grid-column-end: -1;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked + label > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.6em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details,\n",
       ".xr-group-box-contents > label {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in ~ .xr-section-details {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-children {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 100%;\n",
       "  grid-column: 1 / -1;\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 30px auto;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 26px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > label::before {\n",
       "  content: \"📂\";\n",
       "  padding-right: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked + label::before {\n",
       "  content: \"📁\";\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked + label {\n",
       "  padding-bottom: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-group-box-ellipsis {\n",
       "  font-size: 1.4em;\n",
       "  font-weight: 900;\n",
       "  color: var(--xr-font-color2);\n",
       "  letter-spacing: 0.15em;\n",
       "  cursor: default;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 160B\n",
       "Dimensions:                    (time: 5)\n",
       "Coordinates:\n",
       "  * time                       (time) float64 40B 1.775e+09 ... 1.775e+09\n",
       "Data variables:\n",
       "    m1                         (time) float64 40B -1.0 -0.5 -2.485e-06 0.5 1.0\n",
       "    adsimdet_stats1_total      (time) float64 40B 2.991e+07 ... 3.177e+07\n",
       "    adsimdet_stats1_max_value  (time) float64 40B 268.1 269.0 271.2 271.1 267.1</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-57ace72c-c939-45d0-9a22-088ae8e46f07' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-57ace72c-c939-45d0-9a22-088ae8e46f07' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li></ul></div></li><li class='xr-section-item'><input id='section-db7df330-cb94-4178-9cac-0665abafbb9d' class='xr-section-summary-in' type='checkbox' checked /><label for='section-db7df330-cb94-4178-9cac-0665abafbb9d' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.775e+09 1.775e+09 ... 1.775e+09</div><input id='attrs-6d823633-8980-44b2-8bfb-ae6d6aa17039' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6d823633-8980-44b2-8bfb-ae6d6aa17039' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-53de8574-6436-4940-b2a4-0607de511a55' class='xr-var-data-in' type='checkbox'><label for='data-53de8574-6436-4940-b2a4-0607de511a55' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.77463e+09, 1.77463e+09, 1.77463e+09, 1.77463e+09, 1.77463e+09])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-113e6ccb-90f9-40b7-8414-44721dcf53d5' class='xr-section-summary-in' type='checkbox' checked /><label for='section-113e6ccb-90f9-40b7-8414-44721dcf53d5' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>m1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.0 -0.5 -2.485e-06 0.5 1.0</div><input id='attrs-d5c7e7d2-c53b-4991-a780-6b5814a4e092' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d5c7e7d2-c53b-4991-a780-6b5814a4e092' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-01607b40-95f4-494a-8b86-9e1a1eb7ee03' class='xr-var-data-in' type='checkbox'><label for='data-01607b40-95f4-494a-8b86-9e1a1eb7ee03' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>m1</dd></dl></div><div class='xr-var-data'><pre>array([-1.00000249e+00, -5.00002485e-01, -2.48536986e-06,  4.99997515e-01,\n",
       "        9.99997515e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adsimdet_stats1_total</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>2.991e+07 3.074e+07 ... 3.177e+07</div><input id='attrs-b4c38a52-cbcb-4c15-84fc-55f82948c26b' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-b4c38a52-cbcb-4c15-84fc-55f82948c26b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-c6509500-5870-474b-a67e-72002fe27a72' class='xr-var-data-in' type='checkbox'><label for='data-c6509500-5870-474b-a67e-72002fe27a72' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>adsimdet</dd></dl></div><div class='xr-var-data'><pre>array([29913680.35009194, 30736723.00137038, 30024675.79484376,\n",
       "       30500823.5492648 , 31769753.59794427])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adsimdet_stats1_max_value</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>268.1 269.0 271.2 271.1 267.1</div><input id='attrs-3924aa69-aa82-44d2-a6b9-976a3ee0d33c' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3924aa69-aa82-44d2-a6b9-976a3ee0d33c' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-d2b14e13-b932-4fd7-9b08-996480229baa' class='xr-var-data-in' type='checkbox'><label for='data-d2b14e13-b932-4fd7-9b08-996480229baa' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>adsimdet</dd></dl></div><div class='xr-var-data'><pre>array([268.07475892, 269.02762319, 271.22170042, 271.06615316,\n",
       "       267.08665612])</pre></div></li></ul></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 160B\n",
       "Dimensions:                    (time: 5)\n",
       "Coordinates:\n",
       "  * time                       (time) float64 40B 1.775e+09 ... 1.775e+09\n",
       "Data variables:\n",
       "    m1                         (time) float64 40B -1.0 -0.5 -2.485e-06 0.5 1.0\n",
       "    adsimdet_stats1_total      (time) float64 40B 2.991e+07 ... 3.177e+07\n",
       "    adsimdet_stats1_max_value  (time) float64 40B 268.1 269.0 271.2 271.1 267.1"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 500x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "uids = RE(bp.scan([adsimdet], m1, -1, 1, 5))\n",
    "dataset = cat.v2[uids[-1]].primary.read()\n",
    "dataset[[\"m1\", \"adsimdet_stats1_total\", \"adsimdet_stats1_max_value\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d6e7f8a9",
   "metadata": {},
   "source": [
    "## `bp.scan` — 1-D scan with two motors together\n",
    "\n",
    "Both motors step simultaneously; same number of points."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "e7f8a9b0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:49:48.066355Z",
     "iopub.status.busy": "2026-03-27T16:49:48.066208Z",
     "iopub.status.idle": "2026-03-27T16:49:56.137819Z",
     "shell.execute_reply": "2026-03-27T16:49:56.137400Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Transient Scan ID: 3     Time: 2026-03-27 11:49:48\n",
      "Persistent Unique Scan ID: 'a55a6bef-07f5-4f13-b35e-833dd8efb708'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New stream: 'primary'\n",
      "+-----------+------------+------------+------------+---------------------------+---------------------------+-----------------------+\n",
      "|   seq_num |       time |         m1 |         m2 | adsimdet_stats1_unique_id | adsimdet_stats1_max_value | adsimdet_stats1_total |\n",
      "+-----------+------------+------------+------------+---------------------------+---------------------------+-----------------------+\n",
      "|         1 | 11:49:50.4 |    -1.0000 |     0.0000 |                      2284 |                       267 |              34214746 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         2 | 11:49:51.6 |    -0.5000 |     0.5000 |                      2285 |                       267 |              35908695 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         3 | 11:49:52.8 |    -0.0000 |     1.0000 |                      2286 |                       267 |              36131026 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         4 | 11:49:53.9 |     0.5000 |     1.5000 |                      2287 |                       269 |              35832060 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         5 | 11:49:55.1 |     1.0000 |     2.0000 |                      2288 |                       265 |              38058780 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------+------------+------------+------------+---------------------------+---------------------------+-----------------------+\n",
      "generator scan ['a55a6bef'] (scan num: 3)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
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       "<path d=\"M16 26c-8.837 0-16-2.239-16-5v6c0 2.761 7.163 5 16 5s16-2.239 16-5v-6c0 2.761-7.163 5-16 5z\"></path>\n",
       "</symbol>\n",
       "<symbol id=\"icon-file-text2\" viewBox=\"0 0 32 32\">\n",
       "<path d=\"M28.681 7.159c-0.694-0.947-1.662-2.053-2.724-3.116s-2.169-2.030-3.116-2.724c-1.612-1.182-2.393-1.319-2.841-1.319h-15.5c-1.378 0-2.5 1.121-2.5 2.5v27c0 1.378 1.122 2.5 2.5 2.5h23c1.378 0 2.5-1.122 2.5-2.5v-19.5c0-0.448-0.137-1.23-1.319-2.841zM24.543 5.457c0.959 0.959 1.712 1.825 2.268 2.543h-4.811v-4.811c0.718 0.556 1.584 1.309 2.543 2.268zM28 29.5c0 0.271-0.229 0.5-0.5 0.5h-23c-0.271 0-0.5-0.229-0.5-0.5v-27c0-0.271 0.229-0.5 0.5-0.5 0 0 15.499-0 15.5 0v7c0 0.552 0.448 1 1 1h7v19.5z\"></path>\n",
       "<path d=\"M23 26h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 22h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "<path d=\"M23 18h-14c-0.552 0-1-0.448-1-1s0.448-1 1-1h14c0.552 0 1 0.448 1 1s-0.448 1-1 1z\"></path>\n",
       "</symbol>\n",
       "</defs>\n",
       "</svg>\n",
       "<style>/* CSS stylesheet for displaying xarray objects in notebooks */\n",
       "\n",
       ":root {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base rgba(0, 0, 0, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(0, 0, 0, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, white)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, white) h s calc(l - 15))\n",
       "  );\n",
       "}\n",
       "\n",
       "html[theme=\"dark\"],\n",
       "html[data-theme=\"dark\"],\n",
       "body[data-theme=\"dark\"],\n",
       "body.vscode-dark {\n",
       "  --xr-font-color0: var(\n",
       "    --jp-content-font-color0,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 1))\n",
       "  );\n",
       "  --xr-font-color2: var(\n",
       "    --jp-content-font-color2,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.54))\n",
       "  );\n",
       "  --xr-font-color3: var(\n",
       "    --jp-content-font-color3,\n",
       "    var(--pst-color-text-base, rgba(255, 255, 255, 0.38))\n",
       "  );\n",
       "  --xr-border-color: var(\n",
       "    --jp-border-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 10))\n",
       "  );\n",
       "  --xr-disabled-color: var(\n",
       "    --jp-layout-color3,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 40))\n",
       "  );\n",
       "  --xr-background-color: var(\n",
       "    --jp-layout-color0,\n",
       "    var(--pst-color-on-background, #111111)\n",
       "  );\n",
       "  --xr-background-color-row-even: var(\n",
       "    --jp-layout-color1,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 5))\n",
       "  );\n",
       "  --xr-background-color-row-odd: var(\n",
       "    --jp-layout-color2,\n",
       "    hsl(from var(--pst-color-on-background, #111111) h s calc(l + 15))\n",
       "  );\n",
       "}\n",
       "\n",
       ".xr-wrap {\n",
       "  display: block !important;\n",
       "  min-width: 300px;\n",
       "  max-width: 700px;\n",
       "  line-height: 1.6;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-text-repr-fallback {\n",
       "  /* fallback to plain text repr when CSS is not injected (untrusted notebook) */\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  padding-top: 6px;\n",
       "  padding-bottom: 6px;\n",
       "}\n",
       "\n",
       ".xr-header {\n",
       "  border-bottom: solid 1px var(--xr-border-color);\n",
       "  margin-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-header > div,\n",
       ".xr-header > ul {\n",
       "  display: inline;\n",
       "  margin-top: 0;\n",
       "  margin-bottom: 0;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-obj-name {\n",
       "  margin-left: 2px;\n",
       "  margin-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-obj-type,\n",
       ".xr-group-box-contents > label {\n",
       "  color: var(--xr-font-color2);\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-sections {\n",
       "  padding-left: 0 !important;\n",
       "  display: grid;\n",
       "  grid-template-columns: 150px auto auto 1fr 0 20px 0 20px;\n",
       "  margin-block-start: 0;\n",
       "  margin-block-end: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-section-item > input,\n",
       ".xr-group-box-contents > input,\n",
       ".xr-array-wrap > input {\n",
       "  display: block;\n",
       "  opacity: 0;\n",
       "  height: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-section-item > input + label,\n",
       ".xr-var-item > input + label {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-item > input:enabled + label,\n",
       ".xr-var-item > input:enabled + label,\n",
       ".xr-array-wrap > input:enabled + label,\n",
       ".xr-group-box-contents > input:enabled + label {\n",
       "  cursor: pointer;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-item > input:focus-visible + label,\n",
       ".xr-var-item > input:focus-visible + label,\n",
       ".xr-array-wrap > input:focus-visible + label,\n",
       ".xr-group-box-contents > input:focus-visible + label {\n",
       "  outline: auto;\n",
       "}\n",
       "\n",
       ".xr-section-item > input:enabled + label:hover,\n",
       ".xr-var-item > input:enabled + label:hover,\n",
       ".xr-array-wrap > input:enabled + label:hover,\n",
       ".xr-group-box-contents > input:enabled + label:hover {\n",
       "  color: var(--xr-font-color0);\n",
       "}\n",
       "\n",
       ".xr-section-summary {\n",
       "  grid-column: 1;\n",
       "  color: var(--xr-font-color2);\n",
       "  font-weight: 500;\n",
       "  white-space: nowrap;\n",
       "}\n",
       "\n",
       ".xr-section-summary > em {\n",
       "  font-weight: normal;\n",
       "}\n",
       "\n",
       ".xr-span-grid {\n",
       "  grid-column-end: -1;\n",
       "}\n",
       "\n",
       ".xr-section-summary > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked + label > span {\n",
       "  display: inline-block;\n",
       "  padding-left: 0.6em;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label {\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in + label:before {\n",
       "  display: inline-block;\n",
       "  content: \"►\";\n",
       "  font-size: 11px;\n",
       "  width: 15px;\n",
       "  text-align: center;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:disabled + label:before {\n",
       "  color: var(--xr-disabled-color);\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label:before {\n",
       "  content: \"▼\";\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary,\n",
       ".xr-section-inline-details,\n",
       ".xr-group-box-contents > label {\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-section-inline-details {\n",
       "  grid-column: 2 / -1;\n",
       "}\n",
       "\n",
       ".xr-section-details {\n",
       "  grid-column: 1 / -1;\n",
       "  margin-top: 4px;\n",
       "  margin-bottom: 5px;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in ~ .xr-section-details {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-section-summary-in:checked ~ .xr-section-details {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-children {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 100%;\n",
       "  grid-column: 1 / -1;\n",
       "  padding-top: 4px;\n",
       "}\n",
       "\n",
       ".xr-group-box {\n",
       "  display: inline-grid;\n",
       "  grid-template-columns: 0px 30px auto;\n",
       "}\n",
       "\n",
       ".xr-group-box-vline {\n",
       "  grid-column-start: 1;\n",
       "  border-right: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "  width: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-hline {\n",
       "  grid-column-start: 2;\n",
       "  grid-row-start: 1;\n",
       "  height: 1em;\n",
       "  width: 26px;\n",
       "  border-bottom: 0.2em solid;\n",
       "  border-color: var(--xr-border-color);\n",
       "}\n",
       "\n",
       ".xr-group-box-contents {\n",
       "  grid-column-start: 3;\n",
       "  padding-bottom: 4px;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > label::before {\n",
       "  content: \"📂\";\n",
       "  padding-right: 0.3em;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked + label::before {\n",
       "  content: \"📁\";\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked + label {\n",
       "  padding-bottom: 0px;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input:checked ~ .xr-sections {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-group-box-contents > input + label > span {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-group-box-ellipsis {\n",
       "  font-size: 1.4em;\n",
       "  font-weight: 900;\n",
       "  color: var(--xr-font-color2);\n",
       "  letter-spacing: 0.15em;\n",
       "  cursor: default;\n",
       "}\n",
       "\n",
       ".xr-array-wrap {\n",
       "  grid-column: 1 / -1;\n",
       "  display: grid;\n",
       "  grid-template-columns: 20px auto;\n",
       "}\n",
       "\n",
       ".xr-array-wrap > label {\n",
       "  grid-column: 1;\n",
       "  vertical-align: top;\n",
       "}\n",
       "\n",
       ".xr-preview {\n",
       "  color: var(--xr-font-color3);\n",
       "}\n",
       "\n",
       ".xr-array-preview,\n",
       ".xr-array-data {\n",
       "  padding: 0 5px !important;\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-array-data,\n",
       ".xr-array-in:checked ~ .xr-array-preview {\n",
       "  display: none;\n",
       "}\n",
       "\n",
       ".xr-array-in:checked ~ .xr-array-data,\n",
       ".xr-array-preview {\n",
       "  display: inline-block;\n",
       "}\n",
       "\n",
       ".xr-dim-list {\n",
       "  display: inline-block !important;\n",
       "  list-style: none;\n",
       "  padding: 0 !important;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list li {\n",
       "  display: inline-block;\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "}\n",
       "\n",
       ".xr-dim-list:before {\n",
       "  content: \"(\";\n",
       "}\n",
       "\n",
       ".xr-dim-list:after {\n",
       "  content: \")\";\n",
       "}\n",
       "\n",
       ".xr-dim-list li:not(:last-child):after {\n",
       "  content: \",\";\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-has-index {\n",
       "  font-weight: bold;\n",
       "}\n",
       "\n",
       ".xr-var-list,\n",
       ".xr-var-item {\n",
       "  display: contents;\n",
       "}\n",
       "\n",
       ".xr-var-item > div,\n",
       ".xr-var-item label,\n",
       ".xr-var-item > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-even);\n",
       "  border-color: var(--xr-background-color-row-odd);\n",
       "  margin-bottom: 0;\n",
       "  padding-top: 2px;\n",
       "}\n",
       "\n",
       ".xr-var-item > .xr-var-name:hover span {\n",
       "  padding-right: 5px;\n",
       "}\n",
       "\n",
       ".xr-var-list > li:nth-child(odd) > div,\n",
       ".xr-var-list > li:nth-child(odd) > label,\n",
       ".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
       "  background-color: var(--xr-background-color-row-odd);\n",
       "  border-color: var(--xr-background-color-row-even);\n",
       "}\n",
       "\n",
       ".xr-var-name {\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-var-dims {\n",
       "  grid-column: 2;\n",
       "}\n",
       "\n",
       ".xr-var-dtype {\n",
       "  grid-column: 3;\n",
       "  text-align: right;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-preview {\n",
       "  grid-column: 4;\n",
       "}\n",
       "\n",
       ".xr-index-preview {\n",
       "  grid-column: 2 / 5;\n",
       "  color: var(--xr-font-color2);\n",
       "}\n",
       "\n",
       ".xr-var-name,\n",
       ".xr-var-dims,\n",
       ".xr-var-dtype,\n",
       ".xr-preview,\n",
       ".xr-attrs dt {\n",
       "  white-space: nowrap;\n",
       "  overflow: hidden;\n",
       "  text-overflow: ellipsis;\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 160B\n",
       "Dimensions:                (time: 5)\n",
       "Coordinates:\n",
       "  * time                   (time) float64 40B 1.775e+09 1.775e+09 ... 1.775e+09\n",
       "Data variables:\n",
       "    m1                     (time) float64 40B -1.0 -0.5 -2.485e-06 0.5 1.0\n",
       "    m2                     (time) float64 40B 0.0 0.5 1.0 1.5 2.0\n",
       "    adsimdet_stats1_total  (time) float64 40B 3.421e+07 3.591e+07 ... 3.806e+07</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-744769c6-0583-427a-8a41-56ca28433fe1' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-744769c6-0583-427a-8a41-56ca28433fe1' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li></ul></div></li><li class='xr-section-item'><input id='section-6047f1d3-6799-42bb-9e0b-c09c90c17526' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6047f1d3-6799-42bb-9e0b-c09c90c17526' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.775e+09 1.775e+09 ... 1.775e+09</div><input id='attrs-ad331e06-fd9f-41a4-b4f5-761a314e2d4e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-ad331e06-fd9f-41a4-b4f5-761a314e2d4e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-829f616b-291f-4eaf-b1fd-5e54935be762' class='xr-var-data-in' type='checkbox'><label for='data-829f616b-291f-4eaf-b1fd-5e54935be762' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.77463e+09, 1.77463e+09, 1.77463e+09, 1.77463e+09, 1.77463e+09])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-0a109c48-aeda-4581-9f52-bb19df130875' class='xr-section-summary-in' type='checkbox' checked /><label for='section-0a109c48-aeda-4581-9f52-bb19df130875' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>m1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.0 -0.5 -2.485e-06 0.5 1.0</div><input id='attrs-cbb079a4-f41f-479b-851d-4d9070b5b278' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cbb079a4-f41f-479b-851d-4d9070b5b278' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-85af9c30-2efd-498e-a234-1f32a4a73553' class='xr-var-data-in' type='checkbox'><label for='data-85af9c30-2efd-498e-a234-1f32a4a73553' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>m1</dd></dl></div><div class='xr-var-data'><pre>array([-1.00000249e+00, -5.00002485e-01, -2.48536986e-06,  4.99997515e-01,\n",
       "        9.99997515e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>m2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>0.0 0.5 1.0 1.5 2.0</div><input id='attrs-5277fb5b-815a-470b-ab60-b164fb221f3f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-5277fb5b-815a-470b-ab60-b164fb221f3f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-32ef916d-8c45-4371-85d4-4537202aa4fd' class='xr-var-data-in' type='checkbox'><label for='data-32ef916d-8c45-4371-85d4-4537202aa4fd' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><pre>array([0. , 0.5, 1. , 1.5, 2. ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adsimdet_stats1_total</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.421e+07 3.591e+07 ... 3.806e+07</div><input id='attrs-feffcbbe-cfe6-4c77-8885-48ab32ea11ef' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-feffcbbe-cfe6-4c77-8885-48ab32ea11ef' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f10a25e3-7be4-4aa1-8ee1-9eba3428bdd6' class='xr-var-data-in' type='checkbox'><label for='data-f10a25e3-7be4-4aa1-8ee1-9eba3428bdd6' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>adsimdet</dd></dl></div><div class='xr-var-data'><pre>array([34214746.36046077, 35908695.41090231, 36131026.35107907,\n",
       "       35832059.68981712, 38058779.95324287])</pre></div></li></ul></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 160B\n",
       "Dimensions:                (time: 5)\n",
       "Coordinates:\n",
       "  * time                   (time) float64 40B 1.775e+09 1.775e+09 ... 1.775e+09\n",
       "Data variables:\n",
       "    m1                     (time) float64 40B -1.0 -0.5 -2.485e-06 0.5 1.0\n",
       "    m2                     (time) float64 40B 0.0 0.5 1.0 1.5 2.0\n",
       "    adsimdet_stats1_total  (time) float64 40B 3.421e+07 3.591e+07 ... 3.806e+07"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "uids = RE(\n",
    "    bp.scan(\n",
    "        [adsimdet],\n",
    "        m1,\n",
    "        -1,\n",
    "        1,\n",
    "        m2,\n",
    "        0,\n",
    "        2,\n",
    "        5,\n",
    "    )\n",
    ")\n",
    "dataset = cat.v2[uids[-1]].primary.read()\n",
    "dataset[[\"m1\", \"m2\", \"adsimdet_stats1_total\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f8a9b0c1",
   "metadata": {},
   "source": [
    "## `bp.grid_scan` — 2-D mesh scan\n",
    "\n",
    "`m1` steps along the outer axis; `m2` steps along the inner axis (snake pattern)."
   ]
  },
  {
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   "execution_count": 9,
   "id": "a9b0c1d2",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:49:56.139403Z",
     "iopub.status.busy": "2026-03-27T16:49:56.139253Z",
     "iopub.status.idle": "2026-03-27T16:50:16.542206Z",
     "shell.execute_reply": "2026-03-27T16:50:16.541866Z"
    }
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Transient Scan ID: 4     Time: 2026-03-27 11:49:56\n",
      "Persistent Unique Scan ID: '90199571-e23d-4ff1-8a9d-456eb99e10fa'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New stream: 'primary'\n",
      "+-----------+------------+------------+------------+---------------------------+---------------------------+-----------------------+\n",
      "|   seq_num |       time |         m1 |         m2 | adsimdet_stats1_unique_id | adsimdet_stats1_max_value | adsimdet_stats1_total |\n",
      "+-----------+------------+------------+------------+---------------------------+---------------------------+-----------------------+\n",
      "|         1 | 11:49:58.9 |    -1.0000 |    -0.5000 |                      2289 |                       269 |              38630924 |\n"
     ]
    },
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     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         2 | 11:50:00.4 |    -1.0000 |    -0.1667 |                      2290 |                       269 |              38239819 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         3 | 11:50:01.7 |    -1.0000 |     0.1667 |                      2291 |                       267 |              37635304 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         4 | 11:50:03.1 |    -1.0000 |     0.5000 |                      2292 |                       270 |              37289665 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         5 | 11:50:05.1 |    -0.0000 |     0.5000 |                      2293 |                       272 |              38115543 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         6 | 11:50:06.4 |    -0.0000 |     0.1667 |                      2294 |                       267 |              39025189 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         7 | 11:50:07.7 |    -0.0000 |    -0.1667 |                      2295 |                       270 |              38914974 |\n"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         8 | 11:50:09.0 |    -0.0000 |    -0.5000 |                      2296 |                       271 |              38481101 |\n"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         9 | 11:50:11.1 |     1.0000 |    -0.5000 |                      2297 |                       272 |              38741140 |\n"
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    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|        10 | 11:50:12.4 |     1.0000 |    -0.1667 |                      2298 |                       266 |              37114590 |\n"
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    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|        11 | 11:50:13.8 |     1.0000 |     0.1667 |                      2299 |                       271 |              38317887 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|        12 | 11:50:15.1 |     1.0000 |     0.5000 |                      2300 |                       269 |              39950394 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------+------------+------------+------------+---------------------------+---------------------------+-----------------------+\n",
      "generator grid_scan ['90199571'] (scan num: 4)\n",
      "\n",
      "\n",
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       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 480B\n",
       "Dimensions:                    (time: 12)\n",
       "Coordinates:\n",
       "  * time                       (time) float64 96B 1.775e+09 ... 1.775e+09\n",
       "Data variables:\n",
       "    m1                         (time) float64 96B -1.0 -1.0 -1.0 ... 1.0 1.0 1.0\n",
       "    m2                         (time) float64 96B -0.5 -0.1667 ... 0.1667 0.5\n",
       "    adsimdet_stats1_total      (time) float64 96B 3.863e+07 ... 3.995e+07\n",
       "    adsimdet_stats1_max_value  (time) float64 96B 268.7 269.3 ... 271.2 268.6</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-9a2d695b-7480-44de-baf1-21bd92612d65' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-9a2d695b-7480-44de-baf1-21bd92612d65' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 12</li></ul></div></li><li class='xr-section-item'><input id='section-033de56d-4b74-4963-85d4-7a1a89b9ff1f' class='xr-section-summary-in' type='checkbox' checked /><label for='section-033de56d-4b74-4963-85d4-7a1a89b9ff1f' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.775e+09 1.775e+09 ... 1.775e+09</div><input id='attrs-e1cddd8f-23d0-499d-aa84-b9f98280b687' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e1cddd8f-23d0-499d-aa84-b9f98280b687' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-03bc5bed-f4fc-4bfd-bfd0-f273fd23824b' class='xr-var-data-in' type='checkbox'><label for='data-03bc5bed-f4fc-4bfd-bfd0-f273fd23824b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.77463e+09, 1.77463e+09, 1.77463e+09, 1.77463e+09, 1.77463e+09,\n",
       "       1.77463e+09, 1.77463e+09, 1.77463e+09, 1.77463e+09, 1.77463e+09,\n",
       "       1.77463e+09, 1.77463e+09])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-e58c824f-7d5c-4be7-b45f-b301148cdaea' class='xr-section-summary-in' type='checkbox' checked /><label for='section-e58c824f-7d5c-4be7-b45f-b301148cdaea' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>m1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.0 -1.0 -1.0 -1.0 ... 1.0 1.0 1.0</div><input id='attrs-cd55ee83-f3bd-4df2-8b55-3841b191d8c4' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-cd55ee83-f3bd-4df2-8b55-3841b191d8c4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7fbc2a5a-c2d8-4cd6-948c-c893edba97db' class='xr-var-data-in' type='checkbox'><label for='data-7fbc2a5a-c2d8-4cd6-948c-c893edba97db' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>m1</dd></dl></div><div class='xr-var-data'><pre>array([-1.00000249e+00, -1.00000249e+00, -1.00000249e+00, -1.00000249e+00,\n",
       "       -2.48536986e-06, -2.48536986e-06, -2.48536986e-06, -2.48536986e-06,\n",
       "        9.99997515e-01,  9.99997515e-01,  9.99997515e-01,  9.99997515e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>m2</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-0.5 -0.1667 0.1667 ... 0.1667 0.5</div><input id='attrs-3aa817cb-e2e4-4798-b31c-bf91735f1a9f' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-3aa817cb-e2e4-4798-b31c-bf91735f1a9f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-4aacb9a9-0898-4168-811d-656e8d01f5a5' class='xr-var-data-in' type='checkbox'><label for='data-4aacb9a9-0898-4168-811d-656e8d01f5a5' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>m2</dd></dl></div><div class='xr-var-data'><pre>array([-0.5    , -0.16667,  0.16667,  0.5    ,  0.5    ,  0.16667,\n",
       "       -0.16667, -0.5    , -0.5    , -0.16667,  0.16667,  0.5    ])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adsimdet_stats1_total</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.863e+07 3.824e+07 ... 3.995e+07</div><input id='attrs-a8ae3a37-cd43-45dc-aeef-a2b49c64a197' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-a8ae3a37-cd43-45dc-aeef-a2b49c64a197' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-fdf75009-5156-49f4-bc2b-50a0d7fcee50' class='xr-var-data-in' type='checkbox'><label for='data-fdf75009-5156-49f4-bc2b-50a0d7fcee50' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>adsimdet</dd></dl></div><div class='xr-var-data'><pre>array([38630924.01088971, 38239818.74823447, 37635303.9273299 ,\n",
       "       37289664.92359541, 38115542.75860886, 39025188.75134905,\n",
       "       38914974.08514836, 38481100.96227039, 38741139.60226437,\n",
       "       37114590.37840187, 38317887.26763548, 39950393.51431159])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>adsimdet_stats1_max_value</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>268.7 269.3 266.7 ... 271.2 268.6</div><input id='attrs-acce98a7-b99e-49bd-b26b-e12a8818c941' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-acce98a7-b99e-49bd-b26b-e12a8818c941' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9c897560-111c-4154-8278-889961d07831' class='xr-var-data-in' type='checkbox'><label for='data-9c897560-111c-4154-8278-889961d07831' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>adsimdet</dd></dl></div><div class='xr-var-data'><pre>array([268.728336  , 269.29294671, 266.7155301 , 270.34636562,\n",
       "       271.58680379, 267.32806332, 269.74623088, 270.9302416 ,\n",
       "       271.63723961, 265.83676214, 271.218378  , 268.64087571])</pre></div></li></ul></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 480B\n",
       "Dimensions:                    (time: 12)\n",
       "Coordinates:\n",
       "  * time                       (time) float64 96B 1.775e+09 ... 1.775e+09\n",
       "Data variables:\n",
       "    m1                         (time) float64 96B -1.0 -1.0 -1.0 ... 1.0 1.0 1.0\n",
       "    m2                         (time) float64 96B -0.5 -0.1667 ... 0.1667 0.5\n",
       "    adsimdet_stats1_total      (time) float64 96B 3.863e+07 ... 3.995e+07\n",
       "    adsimdet_stats1_max_value  (time) float64 96B 268.7 269.3 ... 271.2 268.6"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x1500 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "uids = RE(\n",
    "    bp.grid_scan(\n",
    "        [adsimdet],\n",
    "        m1,\n",
    "        -1,\n",
    "        1,\n",
    "        3,\n",
    "        m2,\n",
    "        -0.5,\n",
    "        0.5,\n",
    "        4,\n",
    "        snake_axes=True,\n",
    "    )\n",
    ")\n",
    "dataset = cat.v2[uids[-1]].primary.read()\n",
    "dataset[[\"m1\", \"m2\", \"adsimdet_stats1_total\", \"adsimdet_stats1_max_value\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "69af0805",
   "metadata": {},
   "source": [
    "## Bonus: scan with HDF5 image files\n",
    "\n",
    "The scans above record only ROI statistics — no image files are written.\n",
    "To also write image files, add the `hdf1` file-writer plugin to the\n",
    "detector.  Everything else — the motor scan, the ROI statistics — works\n",
    "identically."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "28274055",
   "metadata": {},
   "source": [
    "### File paths\n",
    "\n",
    "The area detector IOC and the bluesky workstation may mount the image\n",
    "directory under different paths.  Define both so the HDF5 plugin can be\n",
    "configured correctly."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "a8fde30c",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:50:16.543866Z",
     "iopub.status.busy": "2026-03-27T16:50:16.543642Z",
     "iopub.status.idle": "2026-03-27T16:50:16.551545Z",
     "shell.execute_reply": "2026-03-27T16:50:16.551160Z"
    }
   },
   "outputs": [],
   "source": [
    "import pathlib\n",
    "\n",
    "AD_IOC_MOUNT_PATH = pathlib.Path(\"/tmp\")\n",
    "BLUESKY_MOUNT_PATH = pathlib.Path(\"/tmp/docker_ioc/iocad/tmp\")\n",
    "IMAGE_DIR = \"images\"\n",
    "\n",
    "# Must end with '/' — pathlib does not add it.\n",
    "WRITE_PATH_TEMPLATE = f\"{AD_IOC_MOUNT_PATH / IMAGE_DIR}/\"\n",
    "READ_PATH_TEMPLATE = f\"{BLUESKY_MOUNT_PATH / IMAGE_DIR}/\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "03d2a46a",
   "metadata": {},
   "source": [
    "### Create the detector with `hdf1`\n",
    "\n",
    "Add the `hdf1` plugin to the list passed to `ad_creator()`.  The\n",
    "`write_path_template` and `read_path_template` tell the plugin where to\n",
    "write files (IOC path) and where bluesky can read them back (local path)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "5ccace4b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:50:16.552880Z",
     "iopub.status.busy": "2026-03-27T16:50:16.552738Z",
     "iopub.status.idle": "2026-03-27T16:50:16.865845Z",
     "shell.execute_reply": "2026-03-27T16:50:16.863836Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "det_hdf.connected=True\n"
     ]
    }
   ],
   "source": [
    "from apstools.devices import HDF5FileWriterPlugin\n",
    "from apstools.devices import ensure_AD_plugin_primed\n",
    "\n",
    "det_hdf = ad_creator(\n",
    "    IOC,\n",
    "    name=\"det_hdf\",\n",
    "    plugins=[\n",
    "        \"cam\",\n",
    "        \"image\",\n",
    "        \"pva\",\n",
    "        \"roi1\",\n",
    "        \"stats1\",\n",
    "        {\n",
    "            \"hdf1\": {\n",
    "                \"class\": HDF5FileWriterPlugin,\n",
    "                \"write_path_template\": WRITE_PATH_TEMPLATE,\n",
    "                \"read_path_template\": READ_PATH_TEMPLATE,\n",
    "            }\n",
    "        },\n",
    "    ],\n",
    ")\n",
    "det_hdf.wait_for_connection(timeout=15)\n",
    "print(f\"{det_hdf.connected=}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "426c81c6",
   "metadata": {},
   "source": [
    "### Configure\n",
    "\n",
    "Same ROI-statistics setup as above, plus HDF5-specific settings.\n",
    "`ensure_AD_plugin_primed()` ensures ophyd knows the image dimensions\n",
    "before acquisition begins."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "84609b0e",
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    "execution": {
     "iopub.execute_input": "2026-03-27T16:50:16.872245Z",
     "iopub.status.busy": "2026-03-27T16:50:16.871570Z",
     "iopub.status.idle": "2026-03-27T16:50:17.159905Z",
     "shell.execute_reply": "2026-03-27T16:50:17.157986Z"
    }
   },
   "outputs": [],
   "source": [
    "det_hdf.roi1.nd_array_port.put(det_hdf.cam.port_name.get())\n",
    "det_hdf.stats1.nd_array_port.put(det_hdf.roi1.port_name.get())\n",
    "\n",
    "det_hdf.cam.stage_sigs[\"num_images\"] = 1\n",
    "det_hdf.cam.stage_sigs[\"wait_for_plugins\"] = \"Yes\"\n",
    "det_hdf.image.stage_sigs[\"blocking_callbacks\"] = \"No\"\n",
    "det_hdf.pva.stage_sigs[\"blocking_callbacks\"] = \"No\"\n",
    "det_hdf.roi1.stage_sigs[\"blocking_callbacks\"] = \"No\"\n",
    "det_hdf.stats1.stage_sigs[\"blocking_callbacks\"] = \"No\"\n",
    "det_hdf.hdf1.stage_sigs[\"blocking_callbacks\"] = \"No\"\n",
    "\n",
    "det_hdf.stats1.kind = \"hinted\"\n",
    "det_hdf.stats1.total.kind = \"hinted\"\n",
    "det_hdf.stats1.max_value.kind = \"hinted\"\n",
    "det_hdf.stats1.unique_id.kind = \"hinted\"\n",
    "\n",
    "det_hdf.hdf1.kind = \"hinted\"\n",
    "det_hdf.hdf1.create_directory.put(-5)\n",
    "\n",
    "ensure_AD_plugin_primed(det_hdf.hdf1, allow=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b40896bc",
   "metadata": {},
   "source": [
    "### Scan — ROI statistics *and* HDF5 image files\n",
    "\n",
    "The scan collects the same statistics as before.  In addition, each\n",
    "image is written to an HDF5 file by the `hdf1` plugin."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "0f0cc8ef",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:50:17.166412Z",
     "iopub.status.busy": "2026-03-27T16:50:17.165743Z",
     "iopub.status.idle": "2026-03-27T16:50:27.957041Z",
     "shell.execute_reply": "2026-03-27T16:50:27.956598Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "Transient Scan ID: 5     Time: 2026-03-27 11:50:17\n",
      "Persistent Unique Scan ID: '4d69ce0a-169b-412e-a27f-9767d8358f40'\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "New stream: 'primary'\n",
      "+-----------+------------+------------+--------------------------+--------------------------+----------------------+\n",
      "|   seq_num |       time |         m1 | det_hdf_stats1_unique_id | det_hdf_stats1_max_value | det_hdf_stats1_total |\n",
      "+-----------+------------+------------+--------------------------+--------------------------+----------------------+\n",
      "|         1 | 11:50:20.0 |    -1.0000 |                     2301 |                      271 |             36807077 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         2 | 11:50:21.4 |    -0.5000 |                     2302 |                      266 |             34654953 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         3 | 11:50:23.0 |    -0.0000 |                     2303 |                      271 |             36628788 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         4 | 11:50:24.4 |     0.5000 |                     2304 |                      269 |             34445429 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "|         5 | 11:50:25.8 |     1.0000 |                     2305 |                      272 |             35464250 |\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "+-----------+------------+------------+--------------------------+--------------------------+----------------------+\n",
      "generator scan ['4d69ce0a'] (scan num: 5)\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "\n",
      "\n"
     ]
    },
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       "\n",
       ".xr-var-name:hover,\n",
       ".xr-var-dims:hover,\n",
       ".xr-var-dtype:hover,\n",
       ".xr-attrs dt:hover {\n",
       "  overflow: visible;\n",
       "  width: auto;\n",
       "  z-index: 1;\n",
       "}\n",
       "\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  display: none;\n",
       "  border-top: 2px dotted var(--xr-background-color);\n",
       "  padding-bottom: 20px !important;\n",
       "  padding-top: 10px !important;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in + label,\n",
       ".xr-var-data-in + label,\n",
       ".xr-index-data-in + label {\n",
       "  padding: 0 1px;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
       ".xr-var-data-in:checked ~ .xr-var-data,\n",
       ".xr-index-data-in:checked ~ .xr-index-data {\n",
       "  display: block;\n",
       "}\n",
       "\n",
       ".xr-var-data > table {\n",
       "  float: right;\n",
       "}\n",
       "\n",
       ".xr-var-data > pre,\n",
       ".xr-index-data > pre,\n",
       ".xr-var-data > table > tbody > tr {\n",
       "  background-color: transparent !important;\n",
       "}\n",
       "\n",
       ".xr-var-name span,\n",
       ".xr-var-data,\n",
       ".xr-index-name div,\n",
       ".xr-index-data,\n",
       ".xr-attrs {\n",
       "  padding-left: 25px !important;\n",
       "}\n",
       "\n",
       ".xr-attrs,\n",
       ".xr-var-attrs,\n",
       ".xr-var-data,\n",
       ".xr-index-data {\n",
       "  grid-column: 1 / -1;\n",
       "}\n",
       "\n",
       "dl.xr-attrs {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  display: grid;\n",
       "  grid-template-columns: 125px auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt,\n",
       ".xr-attrs dd {\n",
       "  padding: 0;\n",
       "  margin: 0;\n",
       "  float: left;\n",
       "  padding-right: 10px;\n",
       "  width: auto;\n",
       "}\n",
       "\n",
       ".xr-attrs dt {\n",
       "  font-weight: normal;\n",
       "  grid-column: 1;\n",
       "}\n",
       "\n",
       ".xr-attrs dt:hover span {\n",
       "  display: inline-block;\n",
       "  background: var(--xr-background-color);\n",
       "  padding-right: 10px;\n",
       "}\n",
       "\n",
       ".xr-attrs dd {\n",
       "  grid-column: 2;\n",
       "  white-space: pre-wrap;\n",
       "  word-break: break-all;\n",
       "}\n",
       "\n",
       ".xr-icon-database,\n",
       ".xr-icon-file-text2,\n",
       ".xr-no-icon {\n",
       "  display: inline-block;\n",
       "  vertical-align: middle;\n",
       "  width: 1em;\n",
       "  height: 1.5em !important;\n",
       "  stroke-width: 0;\n",
       "  stroke: currentColor;\n",
       "  fill: currentColor;\n",
       "}\n",
       "\n",
       ".xr-var-attrs-in:checked + label > .xr-icon-file-text2,\n",
       ".xr-var-data-in:checked + label > .xr-icon-database,\n",
       ".xr-index-data-in:checked + label > .xr-icon-database {\n",
       "  color: var(--xr-font-color0);\n",
       "  filter: drop-shadow(1px 1px 5px var(--xr-font-color2));\n",
       "  stroke-width: 0.8px;\n",
       "}\n",
       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt; Size: 160B\n",
       "Dimensions:                   (time: 5)\n",
       "Coordinates:\n",
       "  * time                      (time) float64 40B 1.775e+09 ... 1.775e+09\n",
       "Data variables:\n",
       "    m1                        (time) float64 40B -1.0 -0.5 -2.485e-06 0.5 1.0\n",
       "    det_hdf_stats1_total      (time) float64 40B 3.681e+07 ... 3.546e+07\n",
       "    det_hdf_stats1_max_value  (time) float64 40B 271.1 265.6 270.5 269.2 271.9</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-0885edb4-53e4-4a55-9e35-1069c68989be' class='xr-section-summary-in' type='checkbox' disabled /><label for='section-0885edb4-53e4-4a55-9e35-1069c68989be' class='xr-section-summary'>Dimensions:</label><div class='xr-section-inline-details'><ul class='xr-dim-list'><li><span class='xr-has-index'>time</span>: 5</li></ul></div></li><li class='xr-section-item'><input id='section-6374d65d-1a4c-4ec8-84ad-387199bba304' class='xr-section-summary-in' type='checkbox' checked /><label for='section-6374d65d-1a4c-4ec8-84ad-387199bba304' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(1)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>time</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.775e+09 1.775e+09 ... 1.775e+09</div><input id='attrs-e9578bd7-b713-4aff-bae2-7038dc915012' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e9578bd7-b713-4aff-bae2-7038dc915012' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-8fa20fa6-f743-43a6-ac42-48fba41dac2e' class='xr-var-data-in' type='checkbox'><label for='data-8fa20fa6-f743-43a6-ac42-48fba41dac2e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1.77463e+09, 1.77463e+09, 1.77463e+09, 1.77463e+09, 1.77463e+09])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-585da981-f812-49ca-9949-fdf0a7c272ba' class='xr-section-summary-in' type='checkbox' checked /><label for='section-585da981-f812-49ca-9949-fdf0a7c272ba' class='xr-section-summary' title='Expand/collapse section'>Data variables: <span>(3)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>m1</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>-1.0 -0.5 -2.485e-06 0.5 1.0</div><input id='attrs-c645d929-8113-46ff-898b-9ab7837e705a' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-c645d929-8113-46ff-898b-9ab7837e705a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3ae57d70-04c6-49fb-848c-c0940eaf3869' class='xr-var-data-in' type='checkbox'><label for='data-3ae57d70-04c6-49fb-848c-c0940eaf3869' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>m1</dd></dl></div><div class='xr-var-data'><pre>array([-1.00000249e+00, -5.00002485e-01, -2.48536986e-06,  4.99997515e-01,\n",
       "        9.99997515e-01])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>det_hdf_stats1_total</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>3.681e+07 3.465e+07 ... 3.546e+07</div><input id='attrs-1a73fede-c675-4520-ac00-22527e68c1e7' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-1a73fede-c675-4520-ac00-22527e68c1e7' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-f91793c9-a506-4772-9185-36d8e434c954' class='xr-var-data-in' type='checkbox'><label for='data-f91793c9-a506-4772-9185-36d8e434c954' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>det_hdf</dd></dl></div><div class='xr-var-data'><pre>array([36807076.88163367, 34654952.65227927, 36628788.42419776,\n",
       "       34445428.83655453, 35464250.08995721])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>det_hdf_stats1_max_value</span></div><div class='xr-var-dims'>(time)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>271.1 265.6 270.5 269.2 271.9</div><input id='attrs-d810f5c1-7089-4570-ae20-05160a6e9097' class='xr-var-attrs-in' type='checkbox' ><label for='attrs-d810f5c1-7089-4570-ae20-05160a6e9097' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-a2e4a173-436e-43d3-9f8b-5d2c4aed4544' class='xr-var-data-in' type='checkbox'><label for='data-a2e4a173-436e-43d3-9f8b-5d2c4aed4544' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'><dt><span>object :</span></dt><dd>det_hdf</dd></dl></div><div class='xr-var-data'><pre>array([271.09894955, 265.64177517, 270.51928954, 269.20357072,\n",
       "       271.87077166])</pre></div></li></ul></div></li></ul></div></div>"
      ],
      "text/plain": [
       "<xarray.Dataset> Size: 160B\n",
       "Dimensions:                   (time: 5)\n",
       "Coordinates:\n",
       "  * time                      (time) float64 40B 1.775e+09 ... 1.775e+09\n",
       "Data variables:\n",
       "    m1                        (time) float64 40B -1.0 -0.5 -2.485e-06 0.5 1.0\n",
       "    det_hdf_stats1_total      (time) float64 40B 3.681e+07 ... 3.546e+07\n",
       "    det_hdf_stats1_max_value  (time) float64 40B 271.1 265.6 270.5 269.2 271.9"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "uids = RE(bp.scan([det_hdf], m1, -1, 1, 5))\n",
    "dataset = cat.v2[uids[-1]].primary.read()\n",
    "dataset[[\"m1\", \"det_hdf_stats1_total\", \"det_hdf_stats1_max_value\"]]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "faf5dece",
   "metadata": {},
   "source": [
    "### Locate the image file"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "f155416a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-03-27T16:50:27.958419Z",
     "iopub.status.busy": "2026-03-27T16:50:27.958276Z",
     "iopub.status.idle": "2026-03-27T16:50:27.987971Z",
     "shell.execute_reply": "2026-03-27T16:50:27.987589Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Image file: /tmp/docker_ioc/iocad/tmp/images/d3f38f4e-1bf7-4846-9139_000000.h5\n",
      "Exists on local filesystem: True\n"
     ]
    }
   ],
   "source": [
    "from apstools.devices import AD_full_file_name_local\n",
    "\n",
    "image_file = AD_full_file_name_local(det_hdf.hdf1)\n",
    "print(f\"Image file: {image_file}\")\n",
    "print(f\"Exists on local filesystem: {image_file.exists()}\")"
   ]
  }
 ],
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    "name": "ipython",
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   "file_extension": ".py",
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