public double[] GetSpecialChannelValueAndError(string name, string detector)
{
int detectorIndex = DetectorIndices[detector];
DetectorChannelValues dcv = ChannelValues[detectorIndex];
return(dcv.SpecialValues[name]);
}
// This is a convenience function that pulls out the mean and error of a channel,
// specified by a set of switches for a given detector. This isn't the most efficient
// way to do it if pulling out a lot of values, but it's not bad. And it is convenient.
public double[] GetChannelValueAndError(string[] switches, string detector)
{
int detectorIndex;
if (DetectorIndices.TryGetValue(detector, out detectorIndex))
{
DetectorChannelValues dcv = ChannelValues[detectorIndex];
uint channelIndex = dcv.GetChannelIndex(switches);
return(new double[] { dcv.Values[channelIndex], dcv.Errors[channelIndex] });
}
else
{
return(new double[] { 0.0, 0.0 });
}
}
// This function gates the detector data first, and then demodulates the channels.
// This means that it can give innacurate results for non-linear combinations
// of channels that vary appreciably over the TOF. There's another, slower, function
// DemodulateBlockNL that takes care of this.
public DemodulatedBlock DemodulateBlock(Block b, DemodulationConfig config)
{
// *** copy across the metadata ***
DemodulatedBlock db = new DemodulatedBlock();
db.TimeStamp = b.TimeStamp;
db.Config = b.Config;
db.DemodulationConfig = config;
// *** extract the gated detector data using the given config ***
List <GatedDetectorData> gatedDetectorData = new List <GatedDetectorData>();
int ind = 0;
foreach (string d in b.detectors)
{
GatedDetectorExtractSpec gdes;
config.GatedDetectorExtractSpecs.TryGetValue(d, out gdes);
if (gdes != null)
{
gatedDetectorData.Add(GatedDetectorData.ExtractFromBlock(b, gdes));
db.DetectorIndices.Add(gdes.Name, ind);
ind++;
db.DetectorCalibrations.Add(gdes.Name,
((TOF)((EDMPoint)b.Points[0]).Shot.TOFs[gdes.Index]).Calibration);
}
}
//foreach (KeyValuePair<string, GatedDetectorExtractSpec> spec in config.GatedDetectorExtractSpecs)
//{
// GatedDetectorExtractSpec gate = spec.Value;
// gatedDetectorData.Add(GatedDetectorData.ExtractFromBlock(b, gate));
// db.DetectorIndices.Add(gate.Name, ind);
// ind++;
// db.DetectorCalibrations.Add(gate.Name,
// ((TOF)((EDMPoint)b.Points[0]).Shot.TOFs[gate.Index]).Calibration);
//}
// ** normalise the top detector **
gatedDetectorData.Add(
gatedDetectorData[db.DetectorIndices["top"]] / gatedDetectorData[db.DetectorIndices["norm"]]);
db.DetectorIndices.Add("topNormed", db.DetectorIndices.Count);
// *** extract the point detector data ***
List <PointDetectorData> pointDetectorData = new List <PointDetectorData>();
foreach (string channel in config.PointDetectorChannels)
{
pointDetectorData.Add(PointDetectorData.ExtractFromBlock(b, channel));
// for the moment all single point detector channels are set to have a calibration
// of 1.0 .
db.DetectorCalibrations.Add(channel, 1.0);
}
// *** build the list of detector data ***
List <DetectorData> detectorData = new List <DetectorData>();
for (int i = 0; i < gatedDetectorData.Count; i++)
{
detectorData.Add(gatedDetectorData[i]);
}
for (int i = 0; i < config.PointDetectorChannels.Count; i++)
{
detectorData.Add(pointDetectorData[i]);
db.DetectorIndices.Add(config.PointDetectorChannels[i], i + gatedDetectorData.Count);
}
// calculate the norm FFT
db.NormFourier = DetectorFT.MakeFT(gatedDetectorData[db.DetectorIndices["norm"]], kFourierAverage);
// *** demodulate channels ***
// ** build the list of modulations **
List <string> modNames = new List <string>();
List <Waveform> modWaveforms = new List <Waveform>();
foreach (AnalogModulation mod in b.Config.AnalogModulations)
{
modNames.Add(mod.Name);
modWaveforms.Add(mod.Waveform);
}
foreach (DigitalModulation mod in b.Config.DigitalModulations)
{
modNames.Add(mod.Name);
modWaveforms.Add(mod.Waveform);
}
foreach (TimingModulation mod in b.Config.TimingModulations)
{
modNames.Add(mod.Name);
modWaveforms.Add(mod.Waveform);
}
// ** work out the switch state for each point **
int blockLength = modWaveforms[0].Length;
List <bool[]> wfBits = new List <bool[]>();
foreach (Waveform wf in modWaveforms)
{
wfBits.Add(wf.Bits);
}
List <uint> switchStates = new List <uint>(blockLength);
for (int i = 0; i < blockLength; i++)
{
uint switchState = 0;
for (int j = 0; j < wfBits.Count; j++)
{
if (wfBits[j][i])
{
switchState += (uint)Math.Pow(2, j);
}
}
switchStates.Add(switchState);
}
// pre-calculate the state signs for each analysis channel
// the first index selects the analysis channel, the second the switchState
int numStates = (int)Math.Pow(2, modWaveforms.Count);
int[,] stateSigns = new int[numStates, numStates];
for (uint i = 0; i < numStates; i++)
{
for (uint j = 0; j < numStates; j++)
{
stateSigns[i, j] = stateSign(j, i);
}
}
// ** the following needs to be done for each detector **
for (int detector = 0; detector < detectorData.Count; detector++)
{
DetectorChannelValues dcv = new DetectorChannelValues();
for (int i = 0; i < modNames.Count; i++)
{
dcv.SwitchMasks.Add(modNames[i], (uint)(1 << i));
}
// * divide the data up into bins according to switch state *
List <List <double> > statePoints = new List <List <double> >(numStates);
for (int i = 0; i < numStates; i++)
{
statePoints.Add(new List <double>(blockLength / numStates));
}
for (int i = 0; i < blockLength; i++)
{
statePoints[(int)switchStates[i]].Add(detectorData[detector].PointValues[i]);
}
// * calculate the channel values *
int subLength = blockLength / numStates;
double[,] channelValues = new double[numStates, subLength];
for (int channel = 0; channel < numStates; channel++)
{
for (int subIndex = 0; subIndex < subLength; subIndex++)
{
double chanVal = 0;
for (int i = 0; i < numStates; i++)
{
chanVal +=
stateSigns[channel, i] * statePoints[i][subIndex];
}
chanVal /= (double)numStates;
channelValues[channel, subIndex] = chanVal;
}
}
//* calculate the channel means *
double[] channelMeans = new double[numStates];
for (int channel = 0; channel < numStates; channel++)
{
double total = 0;
for (int i = 0; i < subLength; i++)
{
total += channelValues[channel, i];
}
total /= blockLength / numStates;
channelMeans[channel] = total;
}
dcv.Values = channelMeans;
//* calculate the channel errors *
double[] channelErrors = new double[numStates];
for (int channel = 0; channel < numStates; channel++)
{
double total = 0;
for (int i = 0; i < subLength; i++)
{
total += Math.Pow(channelValues[channel, i] - channelMeans[channel], 2);
}
total /= subLength * (subLength - 1);
total = Math.Sqrt(total);
channelErrors[channel] = total;
}
dcv.Errors = channelErrors;
db.ChannelValues.Add(dcv);
}
return(db);
}
// DemodulateBlockNL augments the channel values returned by DemodulateBlock
// with several non-linear combinations of channels (E.B/DB, the correction, etc).
// These non-linear channels are calculated point-by-point for the TOF and then
// integrated according to the Demodulation config. This is calculated for top and
// topNormed detectors only for speed.
//
public DemodulatedBlock DemodulateBlockNL(Block b, DemodulationConfig config)
{
// we start with the standard demodulated block
DemodulatedBlock dblock = DemodulateBlock(b, config);
// First do everything for the un-normalised top detector
int tdi = dblock.DetectorIndices["top"];
// TOF demodulate the block to get the channel wiggles
// the BlockTOFDemodulator only demodulates the PMT detector
BlockTOFDemodulator btdt = new BlockTOFDemodulator();
TOFChannelSet tcst = btdt.TOFDemodulateBlock(b, tdi, false);
// now repeat having normed the block
// normalise the PMT signal
b.Normalise(config.GatedDetectorExtractSpecs["norm"]);
int tndi = dblock.DetectorIndices["topNormed"];
// TOF demodulate the block to get the channel wiggles
// the BlockTOFDemodulator only demodulates the PMT detector
BlockTOFDemodulator btd = new BlockTOFDemodulator();
TOFChannelSet tcs = btd.TOFDemodulateBlock(b, tndi, false);
// get hold of the gating data
GatedDetectorExtractSpec gate = config.GatedDetectorExtractSpecs["top"];
// gate the special channels
TOFChannel edmDB = (TOFChannel)tcs.GetChannel("EDMDB");
double edmDBG = edmDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel corrDB = (TOFChannel)tcs.GetChannel("CORRDB");
double corrDBG = corrDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel edmCorrDB = (TOFChannel)tcs.GetChannel("EDMCORRDB");
double edmCorrDBG = edmCorrDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel corrDB_old = (TOFChannel)tcs.GetChannel("CORRDB_OLD");
double corrDBG_old = corrDB_old.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel edmCorrDB_old = (TOFChannel)tcs.GetChannel("EDMCORRDB_OLD");
double edmCorrDBG_old = edmCorrDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf1fDB = (TOFChannel)tcs.GetChannel("RF1FDB");
double rf1fDBG = rf1fDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf2fDB = (TOFChannel)tcs.GetChannel("RF2FDB");
double rf2fDBG = rf2fDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf1fDBDB = (TOFChannel)tcs.GetChannel("RF1FDBDB");
double rf1fDBDBG = rf1fDBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf2fDBDB = (TOFChannel)tcs.GetChannel("RF2FDBDB");
double rf2fDBDBG = rf2fDBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf1aDB = (TOFChannel)tcs.GetChannel("RF1ADB");
double rf1aDBG = rf1aDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf2aDB = (TOFChannel)tcs.GetChannel("RF2ADB");
double rf2aDBG = rf2aDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf1aDBDB = (TOFChannel)tcs.GetChannel("RF1ADBDB");
double rf1aDBDBG = rf1aDBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf2aDBDB = (TOFChannel)tcs.GetChannel("RF2ADBDB");
double rf2aDBDBG = rf2aDBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel lf1DB = (TOFChannel)tcs.GetChannel("LF1DB");
double lf1DBG = lf1DB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel lf1DBDB = (TOFChannel)tcs.GetChannel("LF1DBDB");
double lf1DBDBG = lf1DBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel lf2DB = (TOFChannel)tcs.GetChannel("LF2DB");
double lf2DBG = lf2DB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel lf2DBDB = (TOFChannel)tcs.GetChannel("LF2DBDB");
double lf2DBDBG = lf2DBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel BDB = (TOFChannel)tcs.GetChannel("BDB");
double BDBG = BDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel erf1fDB = (TOFChannel)tcs.GetChannel("ERF1FDB");
double erf1fDBG = erf1fDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel erf2fDB = (TOFChannel)tcs.GetChannel("ERF2FDB");
double erf2fDBG = erf2fDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel erf1fDBDB = (TOFChannel)tcs.GetChannel("ERF1FDBDB");
double erf1fDBDBG = erf1fDBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel erf2fDBDB = (TOFChannel)tcs.GetChannel("ERF2FDBDB");
double erf2fDBDBG = erf2fDBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel brf1fCorrDB = (TOFChannel)tcs.GetChannel("BRF1FCORRDB");
double brf1fCorrDBG = brf1fCorrDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel brf2fCorrDB = (TOFChannel)tcs.GetChannel("BRF2FCORRDB");
double brf2fCorrDBG = brf2fCorrDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
//Repeat for top
TOFChannel edmDBtop = (TOFChannel)tcst.GetChannel("EDMDB");
double edmDBGtop = edmDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel corrDBtop = (TOFChannel)tcst.GetChannel("CORRDB");
double corrDBGtop = corrDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel edmCorrDBtop = (TOFChannel)tcst.GetChannel("EDMCORRDB");
double edmCorrDBGtop = edmCorrDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel corrDB_oldtop = (TOFChannel)tcst.GetChannel("CORRDB_OLD");
double corrDBG_oldtop = corrDB_old.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel edmCorrDB_oldtop = (TOFChannel)tcst.GetChannel("EDMCORRDB_OLD");
double edmCorrDBG_oldtop = edmCorrDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf1fDBtop = (TOFChannel)tcst.GetChannel("RF1FDB");
double rf1fDBGtop = rf1fDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf2fDBtop = (TOFChannel)tcst.GetChannel("RF2FDB");
double rf2fDBGtop = rf2fDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf1fDBDBtop = (TOFChannel)tcst.GetChannel("RF1FDBDB");
double rf1fDBDBGtop = rf1fDBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf2fDBDBtop = (TOFChannel)tcst.GetChannel("RF2FDBDB");
double rf2fDBDBGtop = rf2fDBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf1aDBtop = (TOFChannel)tcst.GetChannel("RF1ADB");
double rf1aDBGtop = rf1aDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf2aDBtop = (TOFChannel)tcst.GetChannel("RF2ADB");
double rf2aDBGtop = rf2aDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf1aDBDBtop = (TOFChannel)tcst.GetChannel("RF1ADBDB");
double rf1aDBDBGtop = rf1aDBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel rf2aDBDBtop = (TOFChannel)tcst.GetChannel("RF2ADBDB");
double rf2aDBDBGtop = rf2aDBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel lf1DBtop = (TOFChannel)tcst.GetChannel("LF1DB");
double lf1DBGtop = lf1DB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel lf1DBDBtop = (TOFChannel)tcst.GetChannel("LF1DBDB");
double lf1DBDBGtop = lf1DBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel lf2DBtop = (TOFChannel)tcst.GetChannel("LF2DB");
double lf2DBGtop = lf2DB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel lf2DBDBtop = (TOFChannel)tcst.GetChannel("LF2DBDB");
double lf2DBDBGtop = lf2DBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel BDBtop = (TOFChannel)tcst.GetChannel("BDB");
double BDBGtop = BDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel erf1fDBtop = (TOFChannel)tcst.GetChannel("ERF1FDB");
double erf1fDBGtop = erf1fDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel erf2fDBtop = (TOFChannel)tcst.GetChannel("ERF2FDB");
double erf2fDBGtop = erf2fDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel erf1fDBDBtop = (TOFChannel)tcst.GetChannel("ERF1FDBDB");
double erf1fDBDBGtop = erf1fDBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel erf2fDBDBtop = (TOFChannel)tcst.GetChannel("ERF2FDBDB");
double erf2fDBDBGtop = erf2fDBDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel brf1fCorrDBtop = (TOFChannel)tcst.GetChannel("BRF1FCORRDB");
double brf1fCorrDBGtop = brf1fCorrDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
TOFChannel brf2fCorrDBtop = (TOFChannel)tcst.GetChannel("BRF2FCORRDB");
double brf2fCorrDBGtop = brf2fCorrDB.Difference.GatedMean(gate.GateLow, gate.GateHigh);
// we bodge the errors, which aren't really used for much anyway
// by just using the error from the normal dblock. I ignore the error in DB.
// I use the simple correction error for the full correction. Doesn't much matter.
DetectorChannelValues dcv = dblock.ChannelValues[tndi];
double edmDBE = dcv.GetError(new string[] { "E", "B" }) / dcv.GetValue(new string[] { "DB" });
double corrDBE = Math.Sqrt(
Math.Pow(dcv.GetValue(new string[] { "E", "DB" }) * dcv.GetError(new string[] { "B" }), 2) +
Math.Pow(dcv.GetValue(new string[] { "B" }) * dcv.GetError(new string[] { "E", "DB" }), 2))
/ Math.Pow(dcv.GetValue(new string[] { "DB" }), 2);
double edmCorrDBE = Math.Sqrt(Math.Pow(edmDBE, 2) + Math.Pow(corrDBE, 2));
double rf1fDBE = dcv.GetError(new string[] { "RF1F" }) / dcv.GetValue(new string[] { "DB" });
double rf2fDBE = dcv.GetError(new string[] { "RF2F" }) / dcv.GetValue(new string[] { "DB" });
double rf1fDBDBE = dcv.GetError(new string[] { "DB", "RF1F" }) / dcv.GetValue(new string[] { "DB" });
double rf2fDBDBE = dcv.GetError(new string[] { "DB", "RF2F" }) / dcv.GetValue(new string[] { "DB" });
double rf1aDBE = dcv.GetError(new string[] { "RF1A" }) / dcv.GetValue(new string[] { "DB" });
double rf2aDBE = dcv.GetError(new string[] { "RF2A" }) / dcv.GetValue(new string[] { "DB" });
double rf1aDBDBE = dcv.GetError(new string[] { "DB", "RF1A" }) / dcv.GetValue(new string[] { "DB" });
double rf2aDBDBE = dcv.GetError(new string[] { "DB", "RF2A" }) / dcv.GetValue(new string[] { "DB" });
double lf1DBE = dcv.GetError(new string[] { "LF1" }) / dcv.GetValue(new string[] { "DB" });
double lf1DBDBE = dcv.GetError(new string[] { "DB", "LF1" }) / dcv.GetValue(new string[] { "DB" });
double lf2DBE = dcv.GetError(new string[] { "LF2" }) / dcv.GetValue(new string[] { "DB" });
double lf2DBDBE = dcv.GetError(new string[] { "DB", "LF2" }) / dcv.GetValue(new string[] { "DB" });
double brf1fDBE = dcv.GetError(new string[] { "B", "RF1F" }) / dcv.GetValue(new string[] { "DB" });
double brf2fDBE = dcv.GetError(new string[] { "B", "RF2F" }) / dcv.GetValue(new string[] { "DB" });
double erf1fDBE = dcv.GetError(new string[] { "E", "RF1F" }) / dcv.GetValue(new string[] { "DB" });
double erf2fDBE = dcv.GetError(new string[] { "E", "RF2F" }) / dcv.GetValue(new string[] { "DB" });
double erf1fDBDBE = dcv.GetError(new string[] { "E", "DB", "RF1F" }) / dcv.GetValue(new string[] { "DB" });
double erf2fDBDBE = dcv.GetError(new string[] { "E", "DB", "RF2F" }) / dcv.GetValue(new string[] { "DB" });
double BDBE = dcv.GetError(new string[] { "B" }) / dcv.GetValue(new string[] { "DB" });
//repeat for top
DetectorChannelValues dcvt = dblock.ChannelValues[tdi];
double lf2DBEtop = dcvt.GetError(new string[] { "LF2" }) / dcvt.GetValue(new string[] { "DB" }); //Change the db channel back to topNormed
double lf2DBDBEtop = dcvt.GetError(new string[] { "DB", "LF2" }) / dcvt.GetValue(new string[] { "DB" }); //Change the db channel back to topNormed
double edmDBEtop = dcvt.GetError(new string[] { "E", "B" }) / dcvt.GetValue(new string[] { "DB" });
double corrDBEtop = Math.Sqrt(
Math.Pow(dcvt.GetValue(new string[] { "E", "DB" }) * dcvt.GetError(new string[] { "B" }), 2) +
Math.Pow(dcvt.GetValue(new string[] { "B" }) * dcvt.GetError(new string[] { "E", "DB" }), 2))
/ Math.Pow(dcvt.GetValue(new string[] { "DB" }), 2);
double edmCorrDBEtop = Math.Sqrt(Math.Pow(edmDBEtop, 2) + Math.Pow(corrDBEtop, 2));
double rf1fDBEtop = dcvt.GetError(new string[] { "RF1F" }) / dcvt.GetValue(new string[] { "DB" });
double rf2fDBEtop = dcvt.GetError(new string[] { "RF2F" }) / dcvt.GetValue(new string[] { "DB" });
double rf1fDBDBEtop = dcvt.GetError(new string[] { "DB", "RF1F" }) / dcvt.GetValue(new string[] { "DB" });
double rf2fDBDBEtop = dcvt.GetError(new string[] { "DB", "RF2F" }) / dcvt.GetValue(new string[] { "DB" });
double rf1aDBEtop = dcvt.GetError(new string[] { "RF1A" }) / dcvt.GetValue(new string[] { "DB" });
double rf2aDBEtop = dcvt.GetError(new string[] { "RF2A" }) / dcvt.GetValue(new string[] { "DB" });
double rf1aDBDBEtop = dcvt.GetError(new string[] { "DB", "RF1A" }) / dcvt.GetValue(new string[] { "DB" });
double rf2aDBDBEtop = dcvt.GetError(new string[] { "DB", "RF2A" }) / dcvt.GetValue(new string[] { "DB" });
double lf1DBEtop = dcvt.GetError(new string[] { "LF1" }) / dcvt.GetValue(new string[] { "DB" });
double lf1DBDBEtop = dcvt.GetError(new string[] { "DB", "LF1" }) / dcvt.GetValue(new string[] { "DB" });
double brf1fDBEtop = dcvt.GetError(new string[] { "B", "RF1F" }) / dcvt.GetValue(new string[] { "DB" });
double brf2fDBEtop = dcvt.GetError(new string[] { "B", "RF2F" }) / dcvt.GetValue(new string[] { "DB" });
double erf1fDBEtop = dcvt.GetError(new string[] { "E", "RF1F" }) / dcvt.GetValue(new string[] { "DB" });
double erf2fDBEtop = dcvt.GetError(new string[] { "E", "RF2F" }) / dcvt.GetValue(new string[] { "DB" });
double erf1fDBDBEtop = dcvt.GetError(new string[] { "E", "DB", "RF1F" }) / dcvt.GetValue(new string[] { "DB" });
double erf2fDBDBEtop = dcvt.GetError(new string[] { "E", "DB", "RF2F" }) / dcvt.GetValue(new string[] { "DB" });
double BDBEtop = dcvt.GetError(new string[] { "B" }) / dcvt.GetValue(new string[] { "DB" });
// stuff the data into the dblock
dblock.ChannelValues[tndi].SpecialValues["EDMDB"] = new double[] { edmDBG, edmDBE };
dblock.ChannelValues[tndi].SpecialValues["CORRDB"] = new double[] { corrDBG, corrDBE };
dblock.ChannelValues[tndi].SpecialValues["EDMCORRDB"] = new double[] { edmCorrDBG, edmCorrDBE };
dblock.ChannelValues[tndi].SpecialValues["CORRDB_OLD"] = new double[] { corrDBG_old, corrDBE };
dblock.ChannelValues[tndi].SpecialValues["EDMCORRDB_OLD"] = new double[] { edmCorrDBG_old, edmCorrDBE };
dblock.ChannelValues[tndi].SpecialValues["RF1FDB"] = new double[] { rf1fDBG, rf1fDBE };
dblock.ChannelValues[tndi].SpecialValues["RF2FDB"] = new double[] { rf2fDBG, rf2fDBE };
dblock.ChannelValues[tndi].SpecialValues["RF1FDBDB"] = new double[] { rf1fDBDBG, rf1fDBDBE };
dblock.ChannelValues[tndi].SpecialValues["RF2FDBDB"] = new double[] { rf2fDBDBG, rf2fDBDBE };
dblock.ChannelValues[tndi].SpecialValues["RF1ADB"] = new double[] { rf1aDBG, rf1aDBE };
dblock.ChannelValues[tndi].SpecialValues["RF2ADB"] = new double[] { rf2aDBG, rf2aDBE };
dblock.ChannelValues[tndi].SpecialValues["RF1ADBDB"] = new double[] { rf1aDBDBG, rf1aDBDBE };
dblock.ChannelValues[tndi].SpecialValues["RF2ADBDB"] = new double[] { rf2aDBDBG, rf2aDBDBE };
dblock.ChannelValues[tndi].SpecialValues["BRF1FCORRDB"] = new double[] { brf1fCorrDBG, brf1fDBE };
dblock.ChannelValues[tndi].SpecialValues["BRF2FCORRDB"] = new double[] { brf2fCorrDBG, brf2fDBE };
dblock.ChannelValues[tndi].SpecialValues["ERF1FDB"] = new double[] { erf1fDBG, erf1fDBE };
dblock.ChannelValues[tndi].SpecialValues["ERF2FDB"] = new double[] { erf2fDBG, erf2fDBE };
dblock.ChannelValues[tndi].SpecialValues["ERF1FDBDB"] = new double[] { erf1fDBDBG, erf1fDBDBE };
dblock.ChannelValues[tndi].SpecialValues["ERF2FDBDB"] = new double[] { erf2fDBDBG, erf2fDBDBE };
dblock.ChannelValues[tndi].SpecialValues["LF1DB"] = new double[] { lf1DBG, lf1DBE };
dblock.ChannelValues[tndi].SpecialValues["LF1DBDB"] = new double[] { lf1DBDBG, lf1DBDBE };
dblock.ChannelValues[tndi].SpecialValues["LF2DB"] = new double[] { lf2DBG, lf2DBE };
dblock.ChannelValues[tndi].SpecialValues["LF2DBDB"] = new double[] { lf2DBDBG, lf2DBDBE };
dblock.ChannelValues[tndi].SpecialValues["BDB"] = new double[] { BDBG, BDBE };
dblock.ChannelValues[tdi].SpecialValues["EDMDB"] = new double[] { edmDBGtop, edmDBEtop };
dblock.ChannelValues[tdi].SpecialValues["CORRDB"] = new double[] { corrDBGtop, corrDBEtop };
dblock.ChannelValues[tdi].SpecialValues["EDMCORRDB"] = new double[] { edmCorrDBGtop, edmCorrDBEtop };
dblock.ChannelValues[tdi].SpecialValues["CORRDB_OLD"] = new double[] { corrDBG_oldtop, corrDBEtop };
dblock.ChannelValues[tdi].SpecialValues["EDMCORRDB_OLD"] = new double[] { edmCorrDBG_oldtop, edmCorrDBEtop };
dblock.ChannelValues[tdi].SpecialValues["RF1FDB"] = new double[] { rf1fDBGtop, rf1fDBEtop };
dblock.ChannelValues[tdi].SpecialValues["RF2FDB"] = new double[] { rf2fDBGtop, rf2fDBEtop };
dblock.ChannelValues[tdi].SpecialValues["RF1FDBDB"] = new double[] { rf1fDBDBGtop, rf1fDBDBEtop };
dblock.ChannelValues[tdi].SpecialValues["RF2FDBDB"] = new double[] { rf2fDBDBGtop, rf2fDBDBEtop };
dblock.ChannelValues[tdi].SpecialValues["RF1ADB"] = new double[] { rf1aDBGtop, rf1aDBEtop };
dblock.ChannelValues[tdi].SpecialValues["RF2ADB"] = new double[] { rf2aDBGtop, rf2aDBEtop };
dblock.ChannelValues[tdi].SpecialValues["RF1ADBDB"] = new double[] { rf1aDBDBGtop, rf1aDBDBEtop };
dblock.ChannelValues[tdi].SpecialValues["RF2ADBDB"] = new double[] { rf2aDBDBGtop, rf2aDBDBEtop };
dblock.ChannelValues[tdi].SpecialValues["BRF1FCORRDB"] = new double[] { brf1fCorrDBGtop, brf1fDBEtop };
dblock.ChannelValues[tdi].SpecialValues["BRF2FCORRDB"] = new double[] { brf2fCorrDBGtop, brf2fDBEtop };
dblock.ChannelValues[tdi].SpecialValues["ERF1FDB"] = new double[] { erf1fDBGtop, erf1fDBEtop };
dblock.ChannelValues[tdi].SpecialValues["ERF2FDB"] = new double[] { erf2fDBGtop, erf2fDBEtop };
dblock.ChannelValues[tdi].SpecialValues["ERF1FDBDB"] = new double[] { erf1fDBDBGtop, erf1fDBDBEtop };
dblock.ChannelValues[tdi].SpecialValues["ERF2FDBDB"] = new double[] { erf2fDBDBGtop, erf2fDBDBEtop };
dblock.ChannelValues[tdi].SpecialValues["LF1DB"] = new double[] { lf1DBGtop, lf1DBEtop };
dblock.ChannelValues[tdi].SpecialValues["LF1DBDB"] = new double[] { lf1DBDBGtop, lf1DBDBEtop };
dblock.ChannelValues[tdi].SpecialValues["LF2DB"] = new double[] { lf2DBGtop, lf2DBEtop };
dblock.ChannelValues[tdi].SpecialValues["LF2DBDB"] = new double[] { lf2DBDBGtop, lf2DBDBEtop };
dblock.ChannelValues[tdi].SpecialValues["BDB"] = new double[] { BDBGtop, BDBEtop };
return(dblock);
}
// This function gates the detector data first, and then demodulates the channels.
// This means that it can give innacurate results for non-linear combinations
// of channels that vary appreciably over the TOF. There's another, slower, function
// DemodulateBlockNL that takes care of this.
public DemodulatedBlock DemodulateBlock(Block b, DemodulationConfig config)
{
// *** copy across the metadata ***
DemodulatedBlock db = new DemodulatedBlock();
db.TimeStamp = b.TimeStamp;
db.Config = b.Config;
db.DemodulationConfig = config;
// *** extract the gated detector data using the given config ***
List<GatedDetectorData> gatedDetectorData = new List<GatedDetectorData>();
int ind = 0;
foreach (string d in b.detectors)
{
GatedDetectorExtractSpec gdes;
config.GatedDetectorExtractSpecs.TryGetValue(d, out gdes);
if (gdes != null)
{
gatedDetectorData.Add(GatedDetectorData.ExtractFromBlock(b, gdes));
db.DetectorIndices.Add(gdes.Name, ind);
ind++;
db.DetectorCalibrations.Add(gdes.Name,
((TOF)((EDMPoint)b.Points[0]).Shot.TOFs[gdes.Index]).Calibration);
}
}
//foreach (KeyValuePair<string, GatedDetectorExtractSpec> spec in config.GatedDetectorExtractSpecs)
//{
// GatedDetectorExtractSpec gate = spec.Value;
// gatedDetectorData.Add(GatedDetectorData.ExtractFromBlock(b, gate));
// db.DetectorIndices.Add(gate.Name, ind);
// ind++;
// db.DetectorCalibrations.Add(gate.Name,
// ((TOF)((EDMPoint)b.Points[0]).Shot.TOFs[gate.Index]).Calibration);
//}
// ** normalise the top detector **
gatedDetectorData.Add(
gatedDetectorData[db.DetectorIndices["top"]] / gatedDetectorData[db.DetectorIndices["norm"]]);
db.DetectorIndices.Add("topNormed", db.DetectorIndices.Count);
// *** extract the point detector data ***
List<PointDetectorData> pointDetectorData = new List<PointDetectorData>();
foreach (string channel in config.PointDetectorChannels)
{
pointDetectorData.Add(PointDetectorData.ExtractFromBlock(b, channel));
// for the moment all single point detector channels are set to have a calibration
// of 1.0 .
db.DetectorCalibrations.Add(channel, 1.0);
}
// *** build the list of detector data ***
List<DetectorData> detectorData = new List<DetectorData>();
for (int i = 0; i < gatedDetectorData.Count; i++) detectorData.Add(gatedDetectorData[i]);
for (int i = 0; i < config.PointDetectorChannels.Count; i++)
{
detectorData.Add(pointDetectorData[i]);
db.DetectorIndices.Add(config.PointDetectorChannels[i], i + gatedDetectorData.Count);
}
// calculate the norm FFT
db.NormFourier = DetectorFT.MakeFT(gatedDetectorData[db.DetectorIndices["norm"]], kFourierAverage);
// *** demodulate channels ***
// ** build the list of modulations **
List<string> modNames = new List<string>();
List<Waveform> modWaveforms = new List<Waveform>();
foreach (AnalogModulation mod in b.Config.AnalogModulations)
{
modNames.Add(mod.Name);
modWaveforms.Add(mod.Waveform);
}
foreach (DigitalModulation mod in b.Config.DigitalModulations)
{
modNames.Add(mod.Name);
modWaveforms.Add(mod.Waveform);
}
foreach (TimingModulation mod in b.Config.TimingModulations)
{
modNames.Add(mod.Name);
modWaveforms.Add(mod.Waveform);
}
// ** work out the switch state for each point **
int blockLength = modWaveforms[0].Length;
List<bool[]> wfBits = new List<bool[]>();
foreach (Waveform wf in modWaveforms) wfBits.Add(wf.Bits);
List<uint> switchStates = new List<uint>(blockLength);
for (int i = 0; i < blockLength; i++)
{
uint switchState = 0;
for (int j = 0; j < wfBits.Count; j++)
{
if (wfBits[j][i]) switchState += (uint)Math.Pow(2, j);
}
switchStates.Add(switchState);
}
// pre-calculate the state signs for each analysis channel
// the first index selects the analysis channel, the second the switchState
int numStates = (int)Math.Pow(2, modWaveforms.Count);
int[,] stateSigns = new int[numStates, numStates];
for (uint i = 0; i < numStates; i++)
{
for (uint j = 0; j < numStates; j++)
{
stateSigns[i, j] = stateSign(j, i);
}
}
// ** the following needs to be done for each detector **
for (int detector = 0; detector < detectorData.Count; detector++)
{
DetectorChannelValues dcv = new DetectorChannelValues();
for (int i = 0; i < modNames.Count; i++) dcv.SwitchMasks.Add(modNames[i], (uint)(1 << i));
// * divide the data up into bins according to switch state *
List<List<double>> statePoints = new List<List<double>>(numStates);
for (int i = 0; i < numStates; i++) statePoints.Add(new List<double>(blockLength / numStates));
for (int i = 0; i < blockLength; i++)
{
statePoints[(int)switchStates[i]].Add(detectorData[detector].PointValues[i]);
}
// * calculate the channel values *
int subLength = blockLength / numStates;
double[,] channelValues = new double[numStates, subLength];
for (int channel = 0; channel < numStates; channel++)
{
for (int subIndex = 0; subIndex < subLength; subIndex++)
{
double chanVal = 0;
for (int i = 0; i < numStates; i++) chanVal +=
stateSigns[channel, i] * statePoints[i][subIndex];
chanVal /= (double)numStates;
channelValues[channel, subIndex] = chanVal;
}
}
//* calculate the channel means *
double[] channelMeans = new double[numStates];
for (int channel = 0; channel < numStates; channel++)
{
double total = 0;
for (int i = 0; i < subLength; i++) total += channelValues[channel, i];
total /= blockLength / numStates;
channelMeans[channel] = total;
}
dcv.Values = channelMeans;
//* calculate the channel errors *
double[] channelErrors = new double[numStates];
for (int channel = 0; channel < numStates; channel++)
{
double total = 0;
for (int i = 0; i < subLength; i++)
total += Math.Pow(channelValues[channel, i] - channelMeans[channel], 2);
total /= subLength * (subLength - 1);
total = Math.Sqrt(total);
channelErrors[channel] = total;
}
dcv.Errors = channelErrors;
db.ChannelValues.Add(dcv);
}
return db;
}
