{ "cells": [ { "cell_type": "markdown", "id": "marked-capability", "metadata": {}, "source": [ "# Example with Copper Mountain Model M5065 Vector Network Analyzer\n", "This notebook was adapted from `qcodes_contrib_drivers` for Copper Mountain M5180. " ] }, { "cell_type": "code", "execution_count": null, "id": "placed-maldives", "metadata": {}, "outputs": [], "source": [ "import qcodes as qc\n", "from qcodes.dataset import (\n", " Measurement,\n", " load_or_create_experiment,\n", " plot_by_id,\n", ")\n", "from qcodes.instrument_drivers.CopperMountain import CopperMountainM5065\n", "from qcodes.station import Station" ] }, { "cell_type": "markdown", "id": "likely-steps", "metadata": {}, "source": [ "## Connecting to device" ] }, { "cell_type": "markdown", "id": "statewide-carroll", "metadata": {}, "source": [ "- Install connection software S2VN, download here: https://coppermountaintech.com/download-free-vna-software-and-documentation/\n", "- Run the software and go to System > Misc Setup > Network Remote Control Settings and turn on HiSLIP Server" ] }, { "cell_type": "code", "execution_count": 2, "id": "first-bacon", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Connected to: CMT M5065 (serial:23047001, firmware:25.3.1/2) in 0.18s\n" ] } ], "source": [ "vna = CopperMountainM5065(\n", " name=\"M5065\",\n", " address=\"TCPIP0::localhost::hislip0::INSTR\",\n", " # pyvisa_sim_file=\"CopperMountain_M5065.yaml\",\n", ")" ] }, { "cell_type": "code", "execution_count": 3, "id": "expected-chorus", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "M5065:\n", "\tparameter value\n", "--------------------------------------------------------------------------------\n", "IDN :\t{'vendor': 'CMT', 'model': 'M5065', 'serial': '23...\n", "averages :\t1 \n", "averages_enabled :\tFalse \n", "averages_trigger_enabled :\tFalse \n", "center :\t1.5005e+09 (Hz)\n", "clock_source :\tINT \n", "data_transfer_format :\tASC \n", "electrical_delay :\t0 (s)\n", "electrical_distance :\t0 \n", "electrical_distance_units :\tMET \n", "if_bandwidth :\t10000 (Hz)\n", "number_of_points :\t20001 \n", "number_of_traces :\t1 \n", "output :\tTrue \n", "point_check_sweep_first :\tTrue \n", "point_s11 :\tNot available (('dB', 'rad'))\n", "point_s11_iq :\tNot available (('V', 'V'))\n", "point_s12 :\tNot available (('dB', 'rad'))\n", "point_s12_iq :\tNot available (('V', 'V'))\n", "point_s21 :\tNot available (('dB', 'rad'))\n", "point_s21_iq :\tNot available (('V', 'V'))\n", "point_s22 :\tNot available (('dB', 'rad'))\n", "point_s22_iq :\tNot available (('V', 'V'))\n", "power :\t-20 (dBm)\n", "s11 :\tNot available (('dB', 'rad'))\n", "s12 :\tNot available (('dB', 'rad'))\n", "s21 :\tNot available (('dB', 'rad'))\n", "s22 :\tNot available (('dB', 'rad'))\n", "span :\t2.999e+09 (Hz)\n", "start :\t1e+06 (Hz)\n", "stop :\t3e+09 (Hz)\n", "timeout :\t5 (s)\n", "trigger_source :\tbus \n" ] } ], "source": [ "# Let's look at all parameters\n", "vna.print_readable_snapshot(update=True)" ] }, { "cell_type": "markdown", "id": "emerging-improvement", "metadata": {}, "source": [ "## Setup db and station for test measurement" ] }, { "cell_type": "code", "execution_count": 4, "id": "rural-genealogy", "metadata": {}, "outputs": [], "source": [ "# create an empty database based on the config file\n", "qc.initialise_or_create_database_at(\"./test_copper_mountain.db\")" ] }, { "cell_type": "code", "execution_count": 5, "id": "recreational-fight", "metadata": {}, "outputs": [], "source": [ "exp = load_or_create_experiment(\n", " experiment_name=\"testing_coppermountain_driver\", sample_name=\"band_pass_filter\"\n", ")" ] }, { "cell_type": "code", "execution_count": 6, "id": "marine-dependence", "metadata": {}, "outputs": [], "source": [ "station = Station(vna)" ] }, { "cell_type": "markdown", "id": "boring-router", "metadata": {}, "source": [ "## Measure a trace" ] }, { "cell_type": "code", "execution_count": 7, "id": "a9512c3f", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "True" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vna.output(\"on\")\n", "vna.output()" ] }, { "cell_type": "code", "execution_count": 8, "id": "stretch-survey", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Starting experimental run with id: 25. \n" ] }, { "data": { "image/png": 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", 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# define sweep parameters\n", "vna.power(-20)\n", "vna.start(1e6)\n", "vna.stop(3e9)\n", "vna.if_bandwidth(10e3)\n", "vna.number_of_points(20001)\n", "vna.averages(1)\n", "# do measurement\n", "meas = Measurement()\n", "meas.register_parameter(vna.s12)\n", "with meas.run() as datasaver:\n", " datasaver.add_result((vna.s12, vna.s12()))\n", "ax, cbax = plot_by_id(datasaver.run_id)" ] }, { "cell_type": "code", "execution_count": 9, "id": "exterior-moderator", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([82.1142175 , 81.74179361, 80.38084766, ..., 33.97456303,\n", " 33.97145905, 33.96556393], shape=(20001,)),\n", " array([2.03514392, 2.01984594, 2.00457608, ..., 7.84812106, 7.84901558,\n", " 7.84869966], shape=(20001,)))" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Similarly, other S-parameters can be queried\n", "# You can adjust timeout for this readout\n", "vna.s11.expected_measurement_duration = 10\n", "vna.s11()" ] }, { "cell_type": "code", "execution_count": 10, "id": "least-blond", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([33.9795659 , 33.98037392, 33.9820946 , ..., 33.98130005,\n", " 33.97711595, 33.98358254], shape=(20001,)),\n", " array([-2.08920742e-04, 2.49323629e-04, -7.89651091e-05, ...,\n", " -1.89000733e-04, -1.79122898e-04, 4.18676453e-05], shape=(20001,)))" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vna.s12()" ] }, { "cell_type": "code", "execution_count": 11, "id": "interesting-patio", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([33.97408726, 33.97570971, 33.97630215, ..., 33.98022391,\n", " 33.97864568, 33.98065543], shape=(20001,)),\n", " array([ 8.78057118e-04, -3.84383111e-04, -6.43808442e-05, ...,\n", " -4.45802076e-05, 5.30024955e-04, 2.71436077e-05], shape=(20001,)))" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vna.s21()" ] }, { "cell_type": "code", "execution_count": 12, "id": "australian-train", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([89.89650535, 89.69712863, 89.20461986, ..., 34.16479312,\n", " 34.15900693, 34.15846294], shape=(20001,)),\n", " array([1.94692467, 2.15990451, 1.71385015, ..., 7.84301757, 7.8431395 ,\n", " 7.84116435], shape=(20001,)))" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vna.s22()" ] }, { "cell_type": "code", "execution_count": null, "id": "future-airplane", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(array([1.00000000e+06, 1.14995000e+06, 1.29990000e+06, ...,\n", " 2.99970010e+09, 2.99985005e+09, 3.00000000e+09], shape=(20001,)),\n", " array([81.63173963, 80.21952973, 79.86603951, ..., 33.96683443,\n", " 33.96546837, 33.96769004], shape=(20001,)),\n", " array([2.01220828, 2.08481913, 1.98984455, ..., 1.56537965, 1.56609028,\n", " 1.56543696], shape=(20001,)),\n", " array([33.98020621, 33.97598949, 33.98162237, ..., 33.98093219,\n", " 33.98084072, 33.9834819 ], shape=(20001,)),\n", " array([-1.43353918e-04, 9.10737707e-05, -1.75436670e-04, ...,\n", " -5.61952435e-04, 2.26743333e-04, 1.55254866e-04], shape=(20001,)),\n", " array([33.98207054, 33.97761144, 33.97855542, ..., 33.97881435,\n", " 33.97587875, 33.97615409], shape=(20001,)),\n", " array([ 6.88199532e-05, -5.49355666e-04, 6.30545266e-04, ...,\n", " 1.85116794e-04, -4.69559139e-04, 4.00852304e-04], shape=(20001,)),\n", " array([87.71192885, 91.64798619, 85.2788406 , ..., 34.16512636,\n", " 34.15921655, 34.15937025], shape=(20001,)),\n", " array([1.78109583, 2.17443511, 1.73011219, ..., 1.55914052, 1.56001108,\n", " 1.55994669], shape=(20001,)))" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# or all S-parameters at once. Attention this is not a qcodes parameter\n", "vna.get_s_parameters(expected_measurement_duration=10)" ] }, { "cell_type": "markdown", "id": "unnecessary-coordinate", "metadata": {}, "source": [ "## Look at the names and the labels of the Sxx parameters" ] }, { "cell_type": "code", "execution_count": 14, "id": "burning-tuition", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "('M5065 s11 magnitude', 'M5065 s11 phase')" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vna.s11.labels" ] }, { "cell_type": "code", "execution_count": 15, "id": "plain-frederick", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "('M5065_s11_magnitude', 'M5065_s11_phase')" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vna.s11.names" ] }, { "cell_type": "code", "execution_count": 16, "id": "circular-attack", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(('M5065 frequency',), ('M5065 frequency',))" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vna.s11.setpoint_labels" ] }, { "cell_type": "code", "execution_count": 17, "id": "comparable-salem", "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(('M5065_frequency',), ('M5065_frequency',))" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "vna.s11.setpoint_names" ] }, { "cell_type": "markdown", "id": "7e1fe8dd", "metadata": {}, "source": [ "### Close the Connection" ] }, { "cell_type": "code", "execution_count": 18, "id": "599755aa", "metadata": {}, "outputs": [], "source": [ "vna.close()" ] } ], "metadata": { "kernelspec": { "display_name": "qcodes", "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": "3.13.5" }, "nbsphinx": { "execute": "never" }, "toc": { "base_numbering": 1, "nav_menu": {}, "number_sections": true, "sideBar": true, "skip_h1_title": false, "title_cell": "Table of Contents", "title_sidebar": "Contents", "toc_cell": false, "toc_position": {}, "toc_section_display": true, "toc_window_display": false } }, "nbformat": 4, "nbformat_minor": 5 }