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R&S ZVL13 Vector Network Analyzer example notebook
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@astafan8
astafan8 authored Jul 12, 2022
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{
"cells": [
{
"cell_type": "markdown",
"id": "19466733",
"metadata": {},
"source": [
"# Rohde & Schwarz ZVL13 Vector Network Analyzer example"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7fcdd82a",
"metadata": {},
"outputs": [],
"source": [
"import qcodes as qc\n",
"from qcodes.logger.logger import start_all_logging\n",
"import datetime\n",
"import numpy as np\n",
"%matplotlib notebook\n",
"from datetime import date,datetime\n",
"import pyvisa\n",
"import sys\n",
"import json\n",
"from qcodes_contrib_drivers.drivers.RohdeSchwarz.ZVL13 import ZVL13"
]
},
{
"cell_type": "markdown",
"id": "22756a22",
"metadata": {},
"source": [
"## Instrument and station initialization"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "8c02c1fd",
"metadata": {},
"outputs": [],
"source": [
"start_all_logging()\n",
"\n",
"\n",
"#Instruments\n",
"VNA = ZVL13('ZVL', 'TCPIP0::vnarstafuri.fisica.unina.it::inst0::INSTR')\n",
"\n",
"\n",
"#Station inizialization\n",
"station = qc.Station()\n",
"station.add_component(VNA)"
]
},
{
"cell_type": "markdown",
"id": "9b3407d4",
"metadata": {},
"source": [
"# Parameters definition"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "10f15f4b",
"metadata": {},
"outputs": [],
"source": [
"#########################\n",
"##Parameters definition##\n",
"#########################\n",
"\n",
"parameter_snap={}\n",
"\n",
"S_parameter = 'S11'\n",
"meas_format = 'dbm'\n",
"start_freq = 4\n",
"end_freq = 8\n",
"#center_freq = 5\n",
"#span_freq = 1\n",
"VNA_power = -20\n",
"IF_bandwidth = 1000\n",
"Averages = 4\n",
"points_VNA = 101 #Max:4001\n",
"\n",
"\n",
"\n",
"VNA.npts(points_VNA)\n",
"VNA.S_parameter(S_parameter)\n",
"VNA.format(meas_format)\n",
"VNA.bandwidth(IF_bandwidth)\n",
"VNA.power(VNA_power)\n",
"VNA.avg(Averages)\n",
"VNA.start(start_freq*1e9)\n",
"VNA.stop(end_freq*1e9)\n",
"#VNA.center(center_freq*1e9)\n",
"#VNA.span(span_freq*1e9)\n"
]
},
{
"cell_type": "markdown",
"id": "281974ab",
"metadata": {},
"source": [
"## Trace acquisition in Network Analyzer Mode"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4dd622ff",
"metadata": {},
"outputs": [],
"source": [
"#########################\n",
"#######Mode setting######\n",
"#########################\n",
"\n",
"Mode = VNA.mode() \n",
"\n",
"if Mode == 'SAN':\n",
" VNA.mode('nwa')\n",
"\n",
"#########################\n",
"##Parameters definition##\n",
"#########################\n",
"\n",
"S_parameter = 'S11'\n",
"meas_format = 'dbm'\n",
"start_freq = 4 #GHz\n",
"end_freq = 8 #GHz\n",
"#center_freq = 5 #GHz\n",
"#span_freq = 1 #GHz\n",
"VNA_power = -20 #dBm\n",
"IF_bandwidth = 1000 #Hz\n",
"Averages = 4\n",
"points_VNA = 101 #Max:4001\n",
"\n",
"\n",
"#Parameters setting in the VNA\n",
"VNA.calibration() #Switches on the most recent calibration in the VNA \n",
"VNA.S_parameter(S_parameter)\n",
"VNA.npts(points_VNA)\n",
"VNA.format(meas_format)\n",
"VNA.bandwidth(IF_bandwidth)\n",
"VNA.power(VNA_power)\n",
"VNA.avg(Averages)\n",
"VNA.start(start_freq*1e9)\n",
"VNA.stop(end_freq*1e9)\n",
"#VNA.center(center_freq*1e9)\n",
"#VNA.span(span_freq*1e9)\n",
"\n",
"#VNA Timeout setting\n",
"original_timeout = VNA.timeout()\n",
"new_timeout = 10\n",
"VNA.timeout(new_timeout)\n",
"\n",
"#############################\n",
"##Experiment initialization##\n",
"#############################\n",
"\n",
"#Experiment definition\n",
"exp_name = 'exp_name'\n",
"sample = 'sample'\n",
"exp=qc.load_or_create_experiment(experiment_name=exp_name,\n",
" sample_name=sample)\n",
"\n",
"\n",
"\n",
"#Parameters registration\n",
"meas = qc.Measurement(exp=exp, station=station) \n",
"meas.register_parameter(VNA.trace) \n",
"meas.register_parameter(VNA.S_trace)\n",
"\n",
"#Start measurement\n",
"VNA.rf_power(1) #Switches on the power\n",
"VNA.cont_meas_on() #Switches on the sweep\n",
"VNA.electrical_delay_auto() #Removes the electrical delay automatically\n",
"\n",
"\n",
"with meas.run() as datasaver:\n",
" VNA.autoscale() #Autoscale the trace on the VNA display\n",
" get_v = VNA.trace.get() #Get the trace displayed on the VNA\n",
" get_v2 = VNA.S_trace.get() #Get the complex form of the scattering parameter under test\n",
" datasaver.add_result((VNA.trace, get_v))\n",
" datasaver.add_result((VNA.S_trace, get_v2))\n",
"\n",
"\n",
"#Shutdown devices\n",
"VNA.rf_power(0)\n",
"VNA.cont_meas_off()\n",
"\n",
"###############\n",
"##Data saving##\n",
"###############\n",
"\n",
"captured_run_id=datasaver.dataset.run_id\n",
"dataset = qc.load_by_run_spec(captured_run_id=captured_run_id)\n",
"freq = dataset.get_parameter_data('ZVL_ZVL_frequency')['ZVL_ZVL_frequency']['ZVL_ZVL_frequency']\n",
"save_trace = dataset.get_parameter_data('ZVL_trace')['ZVL_trace']['ZVL_trace']\n",
"S_trace = dataset.get_parameter_data('ZVL_S_trace')['ZVL_S_trace']['ZVL_S_trace']"
]
},
{
"cell_type": "markdown",
"id": "af854ac4",
"metadata": {},
"source": [
"### Plot"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "94e04c84",
"metadata": {},
"outputs": [],
"source": [
"plt.figure(figsize=(14*0.8, 10*0.8), dpi= 80) #facecolor='w', edgecolor='k'\n",
"\n",
"plt.plot(freq[0]*1e-9,save_trace[0])\n",
"\n",
"plt.rc('axes', labelsize=12) # fontsize of the x and y labels\n",
"plt.rc('xtick', labelsize=12*1.2) # fontsize of the tick labels\n",
"plt.rc('ytick', labelsize=12*1.2) \n",
"\n",
"x_label=''\n",
"y_label=''\n",
"plt.xlabel(x_label, size=25)\n",
"plt.ylabel(y_label, size=25)\n",
"plt.title(plot_title, size=18)\n",
"plt.xticks(fontsize=20)\n",
"plt.yticks(fontsize=20)\n",
"plt.grid(True)"
]
},
{
"cell_type": "markdown",
"id": "376ff36b",
"metadata": {},
"source": [
"## Trace acquisition in Spectrum Analyzer Mode"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "b34a1b13",
"metadata": {},
"outputs": [],
"source": [
"# #######Mode setting######\n",
"#########################\n",
"\n",
"Mode = VNA.mode() \n",
"\n",
"if Mode == 'NWA':\n",
" VNA.mode('sa')\n",
"\n",
"#########################\n",
"##Parameters definition##\n",
"#########################\n",
"\n",
"\n",
"start_freq = 4 #GHz\n",
"end_freq = 8 #GHz\n",
"#center_freq = 5 #GHz\n",
"#span_freq = 1 #GHz\n",
"Averages = 4\n",
"points_VNA = 101 #Max:4001\n",
"\n",
"\n",
"#Parameters setting in the VNA\n",
"VNA.calibration() #Switches on the most recent calibration in the VNA \n",
"VNA.S_parameter(S_parameter)\n",
"VNA.npts(points_VNA)\n",
"VNA.format(meas_format)\n",
"VNA.bandwidth(IF_bandwidth)\n",
"VNA.power(VNA_power)\n",
"VNA.avg(Averages)\n",
"VNA.start(start_freq*1e9)\n",
"VNA.stop(end_freq*1e9)\n",
"#VNA.center(center_freq*1e9)\n",
"#VNA.span(span_freq*1e9)\n",
"\n",
"#VNA Timeout setting\n",
"original_timeout = VNA.timeout()\n",
"new_timeout = 10\n",
"VNA.timeout(new_timeout)\n",
"\n",
"#############################\n",
"##Experiment initialization##\n",
"#############################\n",
"\n",
"#Experiment definition\n",
"exp_name = 'exp_name'\n",
"sample = 'sample'\n",
"exp=qc.load_or_create_experiment(experiment_name=exp_name,\n",
" sample_name=sample)\n",
"\n",
"\n",
"\n",
"#Parameters registration\n",
"meas = qc.Measurement(exp=exp, station=station) \n",
"meas.register_parameter(VNA.spectrum) \n",
"\n",
"#Start measurement\n",
"VNA.cont_meas_on() #Switches on the sweep\n",
"\n",
"\n",
"with meas.run() as datasaver:\n",
" VNA.autoscale() #Autoscale the trace on the VNA display\n",
" get_v = VNA.spectrum.get() #Get the spectrum seen by Port 2\n",
" datasaver.add_result((VNA.spectrum, get_v))\n",
"\n",
"\n",
"#Shutdown devices\n",
"VNA.cont_meas_off()\n",
"\n",
"###############\n",
"##Data saving##\n",
"###############\n",
"\n",
"captured_run_id=datasaver.dataset.run_id\n",
"dataset = qc.load_by_run_spec(captured_run_id=captured_run_id)\n",
"freq = dataset.get_parameter_data('ZVL_ZVL_frequency')['ZVL_ZVL_frequency']['ZVL_ZVL_frequency']\n",
"save_trace = dataset.get_parameter_data('ZVL_trace')['ZVL_trace']['ZVL_trace']\n",
"S_trace = dataset.get_parameter_data('ZVL_S_trace')['ZVL_S_trace']['ZVL_S_trace']"
]
},
{
"cell_type": "markdown",
"id": "537efff5",
"metadata": {},
"source": [
"### Plot "
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d2b08d86",
"metadata": {},
"outputs": [],
"source": [
"plt.figure(figsize=(14*0.8, 10*0.8), dpi= 80) \n",
"\n",
"plt.plot(freq[0]*1e-9,spectrum[0])\n",
"\n",
"plt.rc('axes', labelsize=12) \n",
"plt.rc('xtick', labelsize=12*1.2) \n",
"plt.rc('ytick', labelsize=12*1.2) \n",
"\n",
"x_label=''\n",
"y_label=''\n",
"plt.xlabel(x_label, size=25)\n",
"plt.ylabel(y_label, size=25)\n",
"plt.title(plot_title, size=18)\n",
"plt.xticks(fontsize=20)\n",
"plt.yticks(fontsize=20)\n",
"plt.grid(True)"
]
}
],
"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": "3.9.7"
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"nbsphinx": {
"execute": "never"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

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