public bool Close()
{
try
{
boxController.Close();
return(true);
}
catch { return(false); }
}
public override void ToDo(object Arg)
{
b = new BoxController();
b.Init("USB0::0x0957::0x1718::TW54334510::INSTR");
var _ch = new AI_ChannelConfig[4]
{
new AI_ChannelConfig()
{
ChannelName = AnalogInChannelsEnum.AIn1, Enabled = true, Mode = ChannelModeEnum.DC, Polarity = PolarityEnum.Polarity_Bipolar, Range = RangesEnum.Range_1_25
},
new AI_ChannelConfig()
{
ChannelName = AnalogInChannelsEnum.AIn2, Enabled = false, Mode = ChannelModeEnum.DC, Polarity = PolarityEnum.Polarity_Bipolar, Range = RangesEnum.Range_1_25
},
new AI_ChannelConfig()
{
ChannelName = AnalogInChannelsEnum.AIn3, Enabled = false, Mode = ChannelModeEnum.DC, Polarity = PolarityEnum.Polarity_Bipolar, Range = RangesEnum.Range_1_25
},
new AI_ChannelConfig()
{
ChannelName = AnalogInChannelsEnum.AIn4, Enabled = false, Mode = ChannelModeEnum.DC, Polarity = PolarityEnum.Polarity_Bipolar, Range = RangesEnum.Range_1_25
}
};
b.ConfigureAI_Channels(_ch);
var freq = 500000;
var updNumber = 1;
var avgNumber = 1000;
double[] autoPSDLowFreq;
double[] autoPSDHighFreq;
Point[] noisePSD = new Point[] { };
if (freq % 2 != 0)
{
throw new ArgumentException("The frequency should be an even number!");
}
b.AcquisitionInProgress = true;
b.AI_ChannelCollection[AnalogInChannelsEnum.AIn1].DataReady += DefResistanceNoise_DataReady;
var sb = new StringBuilder();
double dtLowFreq = 0.0, dtHighFreq = 0.0;
double dfLowFreq = 1.0, dfHighFreq = 0.0;
double equivalentNoiseBandwidthLowFreq, equivalentNoiseBandwidthHighFreq;
double coherentGainLowFreq, coherentGainHighFreq;
Parallel.Invoke(
() =>
{
b.StartAnalogAcquisition(freq);
IsRunning = false;
},
() =>
{
while (true)
{
if (!IsRunning)
{
b.AcquisitionInProgress = false;
break;
}
if (averagingCounter >= avgNumber)
{
b.AcquisitionInProgress = false;
break;
}
Point[] timeTrace;
var dataReadingSuccess = b.AI_ChannelCollection[AnalogInChannelsEnum.AIn1].ChannelData.TryDequeue(out timeTrace);
if (dataReadingSuccess)
{
var query = from val in timeTrace
select val.Y;
var counter = 0;
var traceData = new double[timeTrace.Length];
foreach (var item in query)
{
traceData[counter] = item;
++counter;
}
var unit = new System.Text.StringBuilder("V", 256);
var sw = ScaledWindow.CreateRectangularWindow();
// Calculation of the low-frequency part of the spectrum
sw.Apply(traceData, out equivalentNoiseBandwidthLowFreq, out coherentGainLowFreq);
dtLowFreq = 1.0 / (double)freq;
autoPSDLowFreq = Measurements.AutoPowerSpectrum(traceData, dtLowFreq, out dfLowFreq);
var singlePSDLowFreq = Measurements.SpectrumUnitConversion(autoPSDLowFreq, SpectrumType.Power, ScalingMode.Linear, DisplayUnits.VoltsPeakSquaredPerHZ, dfLowFreq, equivalentNoiseBandwidthLowFreq, coherentGainLowFreq, unit);
// Calculation of the hugh-frequency part of the spectrum
var selection64Hz = PointSelector.SelectPoints(ref traceData, 64);
sw.Apply(selection64Hz, out equivalentNoiseBandwidthHighFreq, out coherentGainHighFreq);
dtHighFreq = 64.0 * 1.0 / (double)freq;
autoPSDHighFreq = Measurements.AutoPowerSpectrum(selection64Hz, dtHighFreq, out dfHighFreq);
var singlePSDHighFreq = Measurements.SpectrumUnitConversion(autoPSDHighFreq, SpectrumType.Power, ScalingMode.Linear, DisplayUnits.VoltsPeakSquaredPerHZ, dfHighFreq, equivalentNoiseBandwidthHighFreq, coherentGainHighFreq, unit);
var lowFreqSpectrum = singlePSDLowFreq.Select((value, index) => new Point((index + 1) * dfLowFreq, value)).Where(value => value.X <= 1064);
var highFreqSpectrum = singlePSDLowFreq.Select((value, index) => new Point((index + 1) * dfHighFreq, value)).Where(value => value.X > 1064);
noisePSD = new Point[lowFreqSpectrum.Count() + highFreqSpectrum.Count()];
counter = 0;
foreach (var item in lowFreqSpectrum)
{
noisePSD[counter].X = item.X;
noisePSD[counter].Y += item.Y;
++counter;
}
foreach (var item in highFreqSpectrum)
{
noisePSD[counter].X = item.X;
noisePSD[counter].Y += item.Y;
++counter;
}
//for (int i = 0; i < singlePSDLowFreq.Length; i++)
// noisePSD[i] += singlePSDLowFreq[i];
if (averagingCounter % updNumber == 0)
{
sb = new StringBuilder();
for (int i = 0; i < noisePSD.Length; i++)
{
sb.AppendFormat("{0}\t{1}\r\n", (noisePSD[i].X).ToString(NumberFormatInfo.InvariantInfo), (noisePSD[i].Y / (double)averagingCounter).ToString(NumberFormatInfo.InvariantInfo));
}
onDataArrived(new ExpDataArrivedEventArgs(sb.ToString()));
}
}
}
//sb = new StringBuilder();
//for (int i = 0; i < noisePSD.Length; i++)
// sb.AppendFormat("{0}\t{1}\r\n", (noisePSD[i].X).ToString(NumberFormatInfo.InvariantInfo), (noisePSD[i].Y / (double)averagingCounter).ToString(NumberFormatInfo.InvariantInfo));
//onDataArrived(new ExpDataArrivedEventArgs(sb.ToString()));
});
b.Close();
}