lars
d04706582f
Scales the default transverse width (xywidth 50->200 cm) and every layer thickness across the example/production geometries (run_pbwo4, example.py/ipynb, run_sampling configs, export_xsec) by the same factor, so the calo grows uniformly in x, y, and z. Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
73 lines
1.5 KiB
Plaintext
73 lines
1.5 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"from G4Calo import GeometryDescriptor, run_batch, display_event\n",
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"\n",
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"gd = GeometryDescriptor() #the width of the calorimeter is 200 cm times 200 cm (also steerable, but I'd leave it)\n",
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"\n",
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"gd.addLayer(16,\"G4_Pb\",False) \n",
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"gd.addLayer(12,\"G4_POLYSTYRENE\",True, 7)\n",
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"gd.addLayer(16,\"G4_Pb\",False) \n",
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"gd.addLayer(12,\"G4_POLYSTYRENE\",True, 7)\n",
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"gd.addLayer(16,\"G4_Pb\",False)\n",
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"gd.addLayer(12,\"G4_POLYSTYRENE\",True, 7)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"df = run_batch(gd, 1000, 'gamma', 1)\n",
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"df"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"display_event(gd,\"gamma\", 2)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"df"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "caloML",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.16"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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