diff --git a/docs/user-guide/beer/beer_modulation_mcstas.ipynb b/docs/user-guide/beer/beer_modulation_mcstas.ipynb
index e2bf197a..83fe0155 100644
--- a/docs/user-guide/beer/beer_modulation_mcstas.ipynb
+++ b/docs/user-guide/beer/beer_modulation_mcstas.ipynb
@@ -1,18 +1,8 @@
 {
  "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "0",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib ipympl"
-   ]
-  },
   {
    "cell_type": "markdown",
-   "id": "1",
+   "id": "0",
    "metadata": {},
    "source": [
     "# BEER (modulation) McStas data reduction"
@@ -21,7 +11,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "2",
+   "id": "1",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -42,7 +32,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "3",
+   "id": "2",
    "metadata": {},
    "source": [
     "## Beam modulation mode\n",
@@ -134,7 +124,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4",
+   "id": "3",
    "metadata": {},
    "source": [
     "In the rest of the notebook you will find examples of simulated data for a few different samples measured in the different modulation modes.\n",
@@ -147,7 +137,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "5",
+   "id": "4",
    "metadata": {},
    "source": [
     "## Silicon sample (M2)"
@@ -155,7 +145,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6",
+   "id": "5",
    "metadata": {},
    "source": [
     "### Intensity distribution in detector"
@@ -164,18 +154,18 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7",
+   "id": "6",
    "metadata": {},
    "outputs": [],
    "source": [
     "wf = BeerModMcStasWorkflowKnownPeaks()\n",
     "wf[Filename[SampleRun]] = mcstas_silicon_medium_resolution()\n",
-    "wf.compute(RawDetector[SampleRun])['bank1'].hist(two_theta=1000, event_time_offset=1000).plot(norm='log')"
+    "wf.compute(RawDetector[SampleRun])['bank1'].hist(two_theta=1000, event_time_offset=1000).plot(norm='log', cmin=1.0e-3)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "8",
+   "id": "7",
    "metadata": {},
    "source": [
     "### Known peaks workflow"
@@ -184,7 +174,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "9",
+   "id": "8",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -196,7 +186,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "10",
+   "id": "9",
    "metadata": {},
    "source": [
     "### Automatic peak finder workflow"
@@ -205,7 +195,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "11",
+   "id": "10",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -218,7 +208,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "12",
+   "id": "11",
    "metadata": {},
    "source": [
     "#### Data that was excluded because tof could not be computed\n",
@@ -229,7 +219,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "13",
+   "id": "12",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -237,12 +227,12 @@
     "da.masks.clear()\n",
     "da.bins.masks['too_far_from_center'] = ~da.bins.masks.pop('too_far_from_center')\n",
     "\n",
-    "da.bins.concat().hist(two_theta=1000, event_time_offset=1000).plot(norm='log')"
+    "da.bins.concat().hist(two_theta=1000, event_time_offset=1000).plot(norm='log', cmin=1.0e-3)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "14",
+   "id": "13",
    "metadata": {},
    "source": [
     "## Duplex sample (M1)"
@@ -250,7 +240,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "15",
+   "id": "14",
    "metadata": {},
    "source": [
     "### Intensity distribution in detector"
@@ -259,18 +249,18 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "16",
+   "id": "15",
    "metadata": {},
    "outputs": [],
    "source": [
     "wf = BeerModMcStasWorkflowKnownPeaks()\n",
     "wf[Filename[SampleRun]] = mcstas_duplex(8)\n",
-    "wf.compute(RawDetector[SampleRun])['bank1'].hist(two_theta=1000, event_time_offset=1000).plot(norm='log')"
+    "wf.compute(RawDetector[SampleRun])['bank1'].hist(two_theta=1000, event_time_offset=1000).plot(norm='log', cmin=1.0e-2)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "17",
+   "id": "16",
    "metadata": {},
    "source": [
     "### Known peaks workflow"
@@ -279,7 +269,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "18",
+   "id": "17",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -291,7 +281,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "19",
+   "id": "18",
    "metadata": {},
    "source": [
     "### Automatic peak finder workflow"
@@ -300,7 +290,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "20",
+   "id": "19",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -313,7 +303,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "21",
+   "id": "20",
    "metadata": {},
    "source": [
     "#### Data that was excluded because tof could not be computed\n",
@@ -324,7 +314,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "22",
+   "id": "21",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -332,12 +322,12 @@
     "da.masks.clear()\n",
     "da.bins.masks['too_far_from_center'] = ~da.bins.masks.pop('too_far_from_center')\n",
     "\n",
-    "da.bins.concat().hist(two_theta=1000, event_time_offset=1000).plot(norm='log')"
+    "da.bins.concat().hist(two_theta=1000, event_time_offset=1000).plot(norm='log', cmin=1.0e-3)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "23",
+   "id": "22",
    "metadata": {},
    "source": [
     "## Duplex sample (M2)"
@@ -345,7 +335,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "24",
+   "id": "23",
    "metadata": {},
    "source": [
     "### Intensity distribution in detector"
@@ -354,18 +344,18 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "25",
+   "id": "24",
    "metadata": {},
    "outputs": [],
    "source": [
     "wf = BeerModMcStasWorkflowKnownPeaks()\n",
     "wf[Filename[SampleRun]] = mcstas_duplex(9)\n",
-    "wf.compute(RawDetector[SampleRun])['bank1'].hist(two_theta=1000, event_time_offset=1000).plot(norm='log')"
+    "wf.compute(RawDetector[SampleRun])['bank1'].hist(two_theta=1000, event_time_offset=1000).plot(norm='log', cmin=1.0e-3)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "26",
+   "id": "25",
    "metadata": {},
    "source": [
     "### Known peaks workflow"
@@ -374,7 +364,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "27",
+   "id": "26",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -386,7 +376,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "28",
+   "id": "27",
    "metadata": {},
    "source": [
     "### Automatic peak finder workflow"
@@ -395,7 +385,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "29",
+   "id": "28",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -408,7 +398,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "30",
+   "id": "29",
    "metadata": {},
    "source": [
     "#### Data that was excluded because tof could not be computed\n",
@@ -419,7 +409,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "31",
+   "id": "30",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -427,12 +417,12 @@
     "da.masks.clear()\n",
     "da.bins.masks['too_far_from_center'] = ~da.bins.masks.pop('too_far_from_center')\n",
     "\n",
-    "da.bins.concat().hist(two_theta=1000, event_time_offset=1000).plot(norm='log')"
+    "da.bins.concat().hist(two_theta=1000, event_time_offset=1000).plot(norm='log', cmin=1.0e-3)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "32",
+   "id": "31",
    "metadata": {},
    "source": [
     "## Duplex sample (M3)"
@@ -440,7 +430,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "33",
+   "id": "32",
    "metadata": {},
    "source": [
     "### Intensity distribution in detector"
@@ -449,18 +439,18 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "34",
+   "id": "33",
    "metadata": {},
    "outputs": [],
    "source": [
     "wf = BeerModMcStasWorkflowKnownPeaks()\n",
     "wf[Filename[SampleRun]] = mcstas_duplex(10)\n",
-    "wf.compute(RawDetector[SampleRun])['bank1'].hist(two_theta=1000, event_time_offset=1000).plot(norm='log')"
+    "wf.compute(RawDetector[SampleRun])['bank1'].hist(two_theta=1000, event_time_offset=1000).plot(norm='log', cmin=1.0e-3)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "35",
+   "id": "34",
    "metadata": {},
    "source": [
     "### Known peaks workflow"
@@ -469,7 +459,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "36",
+   "id": "35",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -481,7 +471,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "37",
+   "id": "36",
    "metadata": {},
    "source": [
     "### Automatic peak finder workflow"
@@ -490,7 +480,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "38",
+   "id": "37",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -503,7 +493,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "39",
+   "id": "38",
    "metadata": {},
    "source": [
     "#### Data that was excluded because tof could not be computed\n",
@@ -514,7 +504,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "40",
+   "id": "39",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -522,12 +512,12 @@
     "da.masks.clear()\n",
     "da.bins.masks['too_far_from_center'] = ~da.bins.masks.pop('too_far_from_center')\n",
     "\n",
-    "da.bins.concat().hist(two_theta=1000, event_time_offset=1000).plot(norm='log')"
+    "da.bins.concat().hist(two_theta=1000, event_time_offset=1000).plot(norm='log', cmin=1.0e-3)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "41",
+   "id": "40",
    "metadata": {},
    "source": [
     "## Duplex sample (M4)"
@@ -535,7 +525,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "42",
+   "id": "41",
    "metadata": {},
    "source": [
     "### Intensity distribution in detector"
@@ -544,18 +534,18 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "43",
+   "id": "42",
    "metadata": {},
    "outputs": [],
    "source": [
     "wf = BeerModMcStasWorkflowKnownPeaks()\n",
     "wf[Filename[SampleRun]] = mcstas_duplex(16)\n",
-    "wf.compute(RawDetector[SampleRun])['bank1'].hist(two_theta=1000, event_time_offset=1000).plot(norm='log')"
+    "wf.compute(RawDetector[SampleRun])['bank1'].hist(two_theta=1000, event_time_offset=1000).plot(norm='log', cmin=1.0e-3)"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "44",
+   "id": "43",
    "metadata": {},
    "source": [
     "### Known peaks workflow"
@@ -564,7 +554,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "45",
+   "id": "44",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -576,7 +566,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "46",
+   "id": "45",
    "metadata": {},
    "source": [
     "### Automatic peak finder workflow"
@@ -585,7 +575,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "47",
+   "id": "46",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -598,7 +588,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "48",
+   "id": "47",
    "metadata": {},
    "source": [
     "#### Data that was excluded because tof could not be computed\n",
@@ -609,7 +599,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "49",
+   "id": "48",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -617,7 +607,7 @@
     "da.masks.clear()\n",
     "da.bins.masks['too_far_from_center'] = ~da.bins.masks.pop('too_far_from_center')\n",
     "\n",
-    "da.bins.concat().hist(two_theta=1000, event_time_offset=1000).plot(norm='log')"
+    "da.bins.concat().hist(two_theta=1000, event_time_offset=1000).plot(norm='log', cmin=1.0e-3)"
    ]
   }
  ],
@@ -637,7 +627,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.18"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,