{ "cells": [ { "cell_type": "markdown", "id": "e7d80e29-3aec-4498-a73f-e3eb6a77cd7d", "metadata": {}, "source": [ "# Create susceptibility charts" ] }, { "cell_type": "markdown", "id": "15d4623a-342c-4975-9d6b-c64fea6fd948", "metadata": {}, "source": [ "In this notebook we showcase how we can compute the multipactor thresholds measured during several tests and represent it on a susceptibility chart." ] }, { "cell_type": "markdown", "id": "9265b847-f8d3-4c26-aa7d-e4bcab4fef31", "metadata": {}, "source": [ "## Load data" ] }, { "cell_type": "code", "execution_count": 1, "id": "481537dc-aa7a-4946-8b7a-ca219f00d1c5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_120MHz-SWR5-6.csv\n", "\u001b[1;33m[WARNING ] [physics.py ]\u001b[0m 1 points were removed in R calculation, where reflected power was higher than forward power.\n", "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_120MHz-SWR4-7.csv\n", "\u001b[1;33m[WARNING ] [physics.py ]\u001b[0m 3 points were removed in R calculation, where reflected power was higher than forward power.\n", "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_120MHz-SWR3-8.csv\n", "\u001b[1;33m[WARNING ] [physics.py ]\u001b[0m 4 points were removed in R calculation, where reflected power was higher than forward power.\n", "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_120MHz-SWR2-9.csv\n", "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_120MHz-SWR1-10.csv\n", "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_140MHz-SWR4-11.csv\n", "\u001b[1;31m[ERROR ] [factory.py ]\u001b[0m column_header = 'NI9205_E1' not present in provided file. Skipping associated instrument.\n", "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_140MHz-SWR3-12.csv\n", "\u001b[1;31m[ERROR ] [factory.py ]\u001b[0m column_header = 'NI9205_E1' not present in provided file. Skipping associated instrument.\n", "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_140MHz-SWR2-13.csv\n", "\u001b[1;31m[ERROR ] [factory.py ]\u001b[0m column_header = 'NI9205_E1' not present in provided file. Skipping associated instrument.\n", "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_140MHz-SWR1-14.csv\n", "\u001b[1;31m[ERROR ] [factory.py ]\u001b[0m column_header = 'NI9205_E1' not present in provided file. Skipping associated instrument.\n", "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_160MHz-SWR1-15.csv\n", "\u001b[1;31m[ERROR ] [factory.py ]\u001b[0m column_header = 'NI9205_E1' not present in provided file. Skipping associated instrument.\n", "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_160MHz-SWR2-16.csv\n", "\u001b[1;31m[ERROR ] [factory.py ]\u001b[0m column_header = 'NI9205_E1' not present in provided file. Skipping associated instrument.\n", "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_160MHz-SWR3-17.csv\n", "\u001b[1;31m[ERROR ] [factory.py ]\u001b[0m column_header = 'NI9205_E1' not present in provided file. Skipping associated instrument.\n", "\u001b[0;37m[INFO ] [loader.py ]\u001b[0m Applied trigger_policy = 'keep_all' on /home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/data/multipactor_tests/2025.06.20_160MHz-SWR4-18.csv\n", "\u001b[1;33m[WARNING ] [physics.py ]\u001b[0m 2 points were removed in R calculation, where reflected power was higher than forward power.\n", "\u001b[1;31m[ERROR ] [factory.py ]\u001b[0m column_header = 'NI9205_E1' not present in provided file. Skipping associated instrument.\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ "/home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/util/physics.py:28: RuntimeWarning: invalid value encountered in sqrt\n", " reflection_coefficient = np.abs(np.sqrt(reflected_power / forward_power))\n", "/home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/util/physics.py:28: RuntimeWarning: invalid value encountered in sqrt\n", " reflection_coefficient = np.abs(np.sqrt(reflected_power / forward_power))\n", "/home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/util/physics.py:28: RuntimeWarning: invalid value encountered in sqrt\n", " reflection_coefficient = np.abs(np.sqrt(reflected_power / forward_power))\n", "/home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/util/physics.py:28: RuntimeWarning: invalid value encountered in sqrt\n", " reflection_coefficient = np.abs(np.sqrt(reflected_power / forward_power))\n", "/home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/util/physics.py:28: RuntimeWarning: invalid value encountered in sqrt\n", " reflection_coefficient = np.abs(np.sqrt(reflected_power / forward_power))\n", "/home/placais/Documents/simulation/python/multipac_testbench/src/multipac_testbench/util/physics.py:28: RuntimeWarning: invalid value encountered in sqrt\n", " reflection_coefficient = np.abs(np.sqrt(reflected_power / forward_power))\n" ] } ], "source": [ "from functools import partial\n", "\n", "from multipac_testbench import AveragedThresholdSet, TestCampaign, ThresholdSet\n", "from multipac_testbench.data import config_path\n", "from multipac_testbench.data.multipactor_tests import tests\n", "from multipac_testbench.instruments import CurrentProbe, FieldProbe, ForwardPower\n", "from multipac_testbench.util.multipactor_detectors import quantity_is_above_threshold\n", "\n", "freqs = (120.0, 120.0, 120.0, 120.0, 120.0, 140.0, 140.0, 140.0, 140.0, 160.0, 160.0, 160.0, 160.0)\n", "swrs = (5.0, 4.0, 3.0, 2.0, 1.0, 4.0, 3.0, 2.0, 1.0, 1.0, 2.0, 3.0, 4.0)\n", "\n", "test_campaign = TestCampaign.from_filepaths(\n", " tests,\n", " freqs,\n", " swrs,\n", " config_path,\n", " is_raw=True\n", ")" ] }, { "cell_type": "markdown", "id": "42b5dd9b-a0cd-47c9-a7b5-f3682a95d7ad", "metadata": {}, "source": [ "## Determine thresholds" ] }, { "cell_type": "code", "execution_count": 2, "id": "55458090-74df-4d2b-b2b5-cbba282db7b5", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold_set.py ]\u001b[0m Multiple instruments detected at the same position 0.611:\n", "- NI9205_MP4l\n", "- NI9205_MP8l\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold_set.py ]\u001b[0m Multiple instruments detected at the same position 0.611:\n", "- NI9205_MP4l\n", "- NI9205_MP8l\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold_set.py ]\u001b[0m Multiple instruments detected at the same position 0.611:\n", "- NI9205_MP4l\n", "- NI9205_MP8l\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold_set.py ]\u001b[0m Multiple instruments detected at the same position 0.611:\n", "- NI9205_MP4l\n", "- NI9205_MP8l\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold_set.py ]\u001b[0m Multiple instruments detected at the same position 0.611:\n", "- NI9205_MP4l\n", "- NI9205_MP8l\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold_set.py ]\u001b[0m Multiple instruments detected at the same position 0.611:\n", "- NI9205_MP4l\n", "- NI9205_MP8l\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold_set.py ]\u001b[0m Multiple instruments detected at the same position 0.611:\n", "- NI9205_MP4l\n", "- NI9205_MP8l\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold_set.py ]\u001b[0m Multiple instruments detected at the same position 0.611:\n", "- NI9205_MP4l\n", "- NI9205_MP8l\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold_set.py ]\u001b[0m Multiple instruments detected at the same position 0.611:\n", "- NI9205_MP4l\n", "- NI9205_MP8l\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n", "\u001b[1;33m[WARNING ] [threshold.py ]\u001b[0m User should manually trim exceedent powers in order to avoid flat minima at the end of the test.\n" ] } ], "source": [ "current_multipactor_criterions = {'threshold': 12., 'minimum_number_of_points': 1}\n", "current_multipac_detector = partial(quantity_is_above_threshold, **current_multipactor_criterions)\n", "\n", "thresholds = test_campaign.determine_thresholds(\n", " current_multipac_detector,\n", " CurrentProbe,\n", " threshold_predicate=lambda t: t.sample_index > 300,\n", ")\n", "\n", "merged = test_campaign.determine_thresholds(\n", " current_multipac_detector,\n", " CurrentProbe,\n", " threshold_predicate=lambda t: t.sample_index > 300,\n", " threshold_reducer=\"any\",\n", ")\n", "averaged = {test: AveragedThresholdSet.from_threshold_set(threshold_set) for test, threshold_set in merged.items()}\n" ] }, { "cell_type": "markdown", "id": "6d8bc9bd-8e10-407f-ac73-c7bb1dc7f18a", "metadata": {}, "source": [ "## Represent susceptibility plot" ] }, { "cell_type": "raw", "id": "0eac0a36-d3eb-4c10-b5c5-aee371871446", "metadata": { "editable": true, "raw_mimetype": "text/restructuredtext", "slideshow": { "slide_type": "" }, "tags": [] }, "source": [ "You can use :class:`.ForwardPower` or :class:`.FieldProbe` as y-data (technically, any instrument would work).\n", "\n", "You can color the points according to the value of the SWR at the moment of detection of multipactor, or keep classic colors associated with each instrument." ] }, { "cell_type": "code", "execution_count": 3, "id": "3b6360c2-c8ff-43c7-b5a0-c7747e8d1316", "metadata": { "editable": true, "nbsphinx-toctree": {}, "slideshow": { "slide_type": "" }, "tags": [] }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[1;33m[WARNING ] [plot.py ]\u001b[0m Dropped 1 rows with NaN in $SWR$ column.\n" ] }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "_ = test_campaign.susceptibility_chart(merged, ForwardPower, figsize=(8, 8), xlim=(1e2, 1e3), ylim=(1e1, 1e4))" ] }, { "cell_type": "code", "execution_count": 4, "id": "993a4ac3-f6f0-4d3a-9918-721ff3d5c7e3", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "axes, df = test_campaign.susceptibility_chart(thresholds, FieldProbe, figsize=(8, 8), xlim=(1e2, 1e3), ylim=(8e1, 2e3), color_according_to_swr=False)\n", "axes.legend(loc='upper left', bbox_to_anchor=(1.05, 1.05))" ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.13.2" } }, "nbformat": 4, "nbformat_minor": 5 }