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; }