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JFitToT.cc File Reference

Auxiliary program to fit time-over-threshold distributions. More...

#include <string>
#include <iostream>
#include <iomanip>
#include "TROOT.h"
#include "TFile.h"
#include "TH1D.h"
#include "TH2D.h"
#include "TF1.h"
#include "TFitResult.h"
#include "TMath.h"
#include "km3net-dataformat/online/JDAQ.hh"
#include "km3net-dataformat/online/JDAQHeader.hh"
#include "JLang/JLangToolkit.hh"
#include "JPhysics/JConstants.hh"
#include "JDetector/JDetector.hh"
#include "JDetector/JDetectorToolkit.hh"
#include "JDetector/JPMTParametersMap.hh"
#include "JDetector/JPMTAnalogueSignalProcessor.hh"
#include "JROOT/JRootToolkit.hh"
#include "JTools/JRange.hh"
#include "JSupport/JMeta.hh"
#include "JSupport/JSupport.hh"
#include "JSupport/JFileRecorder.hh"
#include "JSupport/JSingleFileScanner.hh"
#include "JCalibrate/JCalibrateToT.hh"
#include "JCalibrate/JFitToT.hh"
#include "Jeep/JPrint.hh"
#include "Jeep/JParser.hh"
#include "Jeep/JMessage.hh"

Go to the source code of this file.

Functions

int main (int argc, char **argv)
 

Detailed Description

Auxiliary program to fit time-over-threshold distributions.

The fitted parameters are the PMT gain and gain spread.

Author
mkarel

Definition in file JFitToT.cc.

Function Documentation

int main ( int  argc,
char **  argv 
)

< Minimal histogram weight in fit range

< Fit range left of time-over-threshold peak

< Fit range right of time-over-threshold peak

< Minimal right-to-left gradient value in time-over-threshold peak-search,

<normalized with respect to the total number of histogram entries

Definition at line 57 of file JFitToT.cc.

58 {
59  using namespace std;
60  using namespace JPP;
61  using namespace KM3NETDAQ;
62 
63  typedef JRange<double> JRange_t;
64  typedef JTYPELIST<JMeta, JDAQHeader, JRootTypes_t>::typelist typelist;
65 
66  string inputFile;
67  JFileRecorder<typelist> outputFile;
68  string detectorFile;
69  string pmtFile;
70  bool writeFits;
71 
72  double Wmin = 5e3; //!< Minimal histogram weight in fit range
73  double LeftMargin = 10.0; //!< Fit range left of time-over-threshold peak
74  double RightMargin = 10.0; //!< Fit range right of time-over-threshold peak
75  double gradientThreshold = -0.005; //!< Minimal right-to-left gradient value in time-over-threshold peak-search,\n
76  //!<normalized with respect to the total number of histogram entries
77 
78  JRange_t fitRange;
79  string option;
80 
81  string regexp;
82  int debug;
83 
84  try {
85 
86  JProperties properties;
87 
88  properties.insert(gmake_property(Wmin));
89  properties.insert(gmake_property(LeftMargin));
90  properties.insert(gmake_property(RightMargin));
91  properties.insert(gmake_property(gradientThreshold));
92 
93  JParser<> zap("Auxiliary program to fit time-over-threshold distributions.");
94 
95  zap['f'] = make_field(inputFile, "input file (output from JCalibrateToT).");
96  zap['o'] = make_field(outputFile, "output file.") = "fit.root";
97  zap['a'] = make_field(detectorFile, "detector file.");
98  zap['P'] = make_field(pmtFile, "specify PMT file name that can be given to JTriggerEfficiency.") = "";
99  zap['w'] = make_field(writeFits, "write fit results.");
100  zap['O'] = make_field(option, "ROOT fit options, see TH1::Fit") = "";
101  zap['@'] = make_field(properties) = JPARSER::initialised();
102  zap['x'] = make_field(fitRange, "ROOT fit range (time-over-threshold).") = JRange_t(0.0, 35.0);
103  zap['R'] = make_field(regexp, "regular expression for histogram name.") = MAKE_CSTRING(WILDCARD << _2SToT);
104  zap['d'] = make_field(debug, "debug.") = 1;
105 
106  zap(argc, argv);
107  }
108  catch(const exception &error) {
109  FATAL(error.what() << endl);
110  }
111 
112 
113  //----------------------------------------------------------
114  // load detector file and PMT parameters
115  //----------------------------------------------------------
116 
117  JDetector detector;
118 
119  try {
120  load(detectorFile, detector);
121  }
122  catch(const JException& error) {
123  FATAL(error);
124  }
125 
126 
127  JPMTParametersMap parametersMap;
128 
129  if (!pmtFile.empty()) {
130 
131  try {
132  parametersMap.load(pmtFile.c_str());
133  }
134  catch(const JException& error) {}
135  }
136 
137  parametersMap.comment.add(JMeta(argc, argv));
138 
139  // Set ROOT fit options
140  if (option.find('R') == string::npos) { option += 'R'; }
141  if (option.find('S') == string::npos) { option += 'S'; }
142  if (option.find('Q') == string::npos && debug < JEEP::debug_t) { option += 'Q'; }
143 
144 
145  TFile* in = TFile::Open(inputFile.c_str(), "exist");
146 
147  if (in == NULL || !in->IsOpen()) {
148  FATAL("File: " << inputFile << " not opened." << endl);
149  }
150 
151 
152  TH2D gain("gain", NULL,
153  100, 0.0, 2.0,
154  100, 0.0, 1.0);
155  TH1D chi2("chi2", NULL, 100, 0.0, 5.0);
156 
157  outputFile.open();
158 
159  if (!outputFile.is_open()) {
160  FATAL("Error opening file " << outputFile << endl);
161  }
162 
163  outputFile.put(JMeta(argc, argv));
164 
165  //----------------------------------------------------------
166  // loop over modules in detector file to fit histogram
167  //----------------------------------------------------------
168 
169  for (JDetector::iterator module = detector.begin(); module != detector.end(); ++module) {
170 
171  NOTICE("Module " << setw(10) << module->getID() << ' ' << module->getLocation() << endl);
172 
173  if (module->empty()) {
174  continue;
175  }
176 
177  //----------------------------------------------------------
178  // get histogram for this module
179  //----------------------------------------------------------
180 
181  TH2D* h2s = (TH2D*) in->Get(replace(regexp, WILDCARD, MAKE_STRING(module->getID())).c_str());
182 
183  if (h2s == NULL) {
184 
185  WARNING("No histogram " << module->getID() << "; skip fit." << endl);
186 
187  continue;
188  }
189 
190  const double ny = h2s->GetYaxis()->GetNbins();
191  const double ymin = h2s->GetYaxis()->GetXmin();
192  const double ymax = h2s->GetYaxis()->GetXmax();
193 
194  TH1D chi2_1d (MAKE_CSTRING(module->getID() << ".1chi2"), NULL, NUMBER_OF_PMTS, -0.5, NUMBER_OF_PMTS-0.5);
195  TH1D gain_1d (MAKE_CSTRING(module->getID() << ".1gain"), NULL, NUMBER_OF_PMTS, -0.5, NUMBER_OF_PMTS-0.5);
196  TH1D gainspread_1d(MAKE_CSTRING(module->getID() << ".1gainspread"), NULL, NUMBER_OF_PMTS, -0.5, NUMBER_OF_PMTS-0.5);
197 
198  for (int ix = 1; ix <= h2s->GetXaxis()->GetNbins(); ++ix) {
199 
200  const JPMTIdentifier id(module->getID(), ix-1);
201 
202  const string name = MAKE_STRING(module->getID() << '.' << FILL(2,'0') <<
203  id.getPMTAddress() << FITTOT_SUFFIX);
204 
205  DEBUG("Processing histogram " << name << endl);
206 
207  TH1D h1(name.c_str(), NULL, ny, ymin, ymax);
208 
209  h1.Sumw2();
210 
211  for (int iy = h2s->GetNbinsY(); iy >= 1; --iy) {
212 
213  const double w = h1.GetBinWidth (iy);
214  const double y = h2s->GetBinContent(ix, iy);
215 
216  h1.SetBinContent(iy, y/w);
217  h1.SetBinError (iy, sqrt(y)/w);
218  }
219 
220  JRange_t range(fitRange);
221 
222  const double weight = h1.Integral(h1.FindBin(range.getLowerLimit()),
223  h1.FindBin(range.getUpperLimit()));
224 
225  if (weight <= Wmin) {
226 
227  WARNING("Insufficient histogram entries for PMT " << id <<
228  "(" << weight << " < " << Wmin << "); skip fit." << endl);
229 
230  if (writeFits) {
231  outputFile.put(h1);
232  }
233 
234  continue;
235  }
236 
237  //----------------------------------------------------------
238  // find the mode of the time-over-threshold distribution
239  //----------------------------------------------------------
240 
241  double max = 0.0;
242  double ToTmode = JDETECTOR::TIME_OVER_THRESHOLD_NS;
243 
244  JPMTParameters& parameters = parametersMap[id];
245 
246  DEBUG(RIGHT(10) << "ToT" << RIGHT(10) << "Counts" << RIGHT(10) << "gradient" <<
247  RIGHT(10) << "threshold" << RIGHT(10) << "Mode" << RIGHT(10) << "Max" << endl);
248 
249  for (int i = h1.GetBinCenter(ny-1);
250  i > h1.GetBinCenter(h1.FindBin(parameters.mean_ns + parameters.sigma_ns));
251  --i) {
252 
253  const double x = h1.GetBinCenter (i);
254  const double y = h1.GetBinContent(i);
255 
256  const double gradient = ( (h1.GetBinContent(i-1) - h1.GetBinContent(i+1)) /
257  (h1.GetBinCenter (i+1) - h1.GetBinCenter (i-1)) );
258 
259  DEBUG(FIXED(10,1) << x << FIXED(10,1) << y << FIXED(10,1) << gradient <<
260  FIXED(10,1) << -fabs(gradientThreshold) * h1.Integral() << FIXED(10,1) << ToTmode << FIXED(10,1) << max << endl);
261 
262 
263  if (y > max) {
264 
265  ToTmode = x;
266  max = y;
267 
268  } else if (gradient < -fabs(gradientThreshold) * h1.Integral()) {
269 
270  break;
271  }
272  }
273 
274  //----------------------------------------------------------
275  // set fit range
276  //----------------------------------------------------------
277 
278  if (!range.is_valid()) {
279  range.setRange(ToTmode - LeftMargin,
280  ToTmode + RightMargin);
281  }
282 
283  range.setRange(std::max(h1.GetXaxis()->GetXmin(), range.getLowerLimit()),
284  std::min(h1.GetXaxis()->GetXmax(), range.getUpperLimit()));
285 
286  DEBUG(LEFT(10) << "Fit-range: " << FIXED(20,1) << range << endl);
287 
288  //----------------------------------------------------------
289  // perform minimum chi-square fit
290  //----------------------------------------------------------
291 
292  JFitToT fit(parameters, range);
293 
294  const double initGain = fit.getCPU().getNPE(ToTmode);
295  const double initGainSpread = initGain / 3.0;
296 
297  if (initGain > FITTOT_GAIN_MAX || initGain < FITTOT_GAIN_MIN) { // Invalid initial gain value
298 
299  WARNING("Invalid initial gain for PMT " << id << "; set default values." << endl);
300 
301  parameters.gain = (initGain > FITTOT_GAIN_MAX ? FITTOT_GAIN_MAX : FITTOT_GAIN_MIN);
302  parameters.gainSpread = (initGain > FITTOT_GAIN_MAX ? FITTOT_GAINSPREAD_MAX : FITTOT_GAINSPREAD_MIN);
303 
304  if (writeFits) {
305  outputFile.put(h1);
306  }
307 
308  continue;
309  }
310 
311  fit.gain = initGain;
312  fit.gainSpread = initGainSpread;
313 
314  const TFitResultPtr result = fit(h1, option);
315 
316  if (result.Get() == NULL) {
317  FATAL("Invalid TFitResultPtr " << h1.GetName() << endl);
318  }
319 
320  if (int(result) < 0 || !result->IsValid()) { // Fit failed
321 
322  WARNING("Fit failure for PMT " << id << "; set initialization values." << endl);
323 
324  h1.GetListOfFunctions()->Clear();
325 
326  parameters.gain = initGain;
327  parameters.gainSpread = initGainSpread;
328 
329  if (writeFits) {
330  outputFile.put(h1);
331  }
332 
333  continue;
334  }
335 
336  if ((ymin < range.getLowerLimit() || ymax > range.getUpperLimit()) &&
337  (option.find("0") == string::npos && option.find("N") == string::npos)) {
338 
339  // add function with full range
340 
341  TF1* f1 = new TF1(MAKE_CSTRING(FITTOT_FNAME << "_fullRange"),
342  &fit,
343  &JFitToT::getValue,
344  ymin,
345  ymax,
346  JFitToT::getNumberOfModelParameters());
347  f1->SetParameters(fit.GetParameters());
348  f1->SetLineStyle(kDotted);
349  f1->SetNpx(1000);
350 
351  h1.GetListOfFunctions()->Add(f1);
352  }
353 
354  // store fit results
355 
356  const double reducedChi2 = result->Chi2() / result->Ndf();
357 
358  const JFitToTParameters values(fit.GetParameters());
359  const JFitToTParameters errors(fit.GetParErrors());
360 
361  chi2_1d. SetBinContent(ix, reducedChi2);
362  gain_1d. SetBinContent(ix, values.gain);
363  gain_1d. SetBinError (ix, errors.gain);
364  gainspread_1d.SetBinContent(ix, values.gainSpread);
365  gainspread_1d.SetBinError (ix, errors.gainSpread);
366 
367  gain.Fill(fit.gain, fit.gainSpread);
368  chi2.Fill(TMath::Log10(reducedChi2));
369 
370  NOTICE("PMT " << id << " chi2 / NDF " << result->Chi2() << ' ' << result->Ndf() << endl);
371 
372  parameters.gain = fit.gain;
373  parameters.gainSpread = fit.gainSpread;
374 
375  if (writeFits) {
376  outputFile.put(h1);
377  }
378  }
379 
380  if (writeFits) {
381  outputFile.put(chi2_1d);
382  outputFile.put(gain_1d);
383  outputFile.put(gainspread_1d);
384  }
385  }
386 
387  for (JSingleFileScanner<JMeta> in(inputFile); in.hasNext(); ) {
388 
389  const JMeta& meta = *in.next();
390 
391  parametersMap.comment.add(meta);
392 
393  outputFile.put(meta);
394  }
395 
396  for (JRootFileReader<JDAQHeader> in(inputFile.c_str()); in.hasNext(); ) {
397  outputFile.put(*in.next());
398  }
399 
400 
401  if (pmtFile != "") {
402  parametersMap.store(pmtFile.c_str());
403  }
404 
405  outputFile.put(gain);
406  outputFile.put(chi2);
407 
408  outputFile.close();
409 }
JSUPPORT::JMeta
Auxiliary class for ROOT I/O of application specific meta data.
Definition: JMeta.hh:70
JSUPPORT::JFileRecorder
Object writing to file.
Definition: JFileRecorder.hh:41
JPARSER::JParser
Utility class to parse command line options.
Definition: JParser.hh:1500
JLANG::JException
General exception.
Definition: JException.hh:23
JDETECTOR::JPMTParameters::gain
double gain
gain [unit]
Definition: JPMTParameters.hh:234
JTOOLS::w
data_type w[N+1][M+1]
Definition: JPolint.hh:741
WARNING
#define WARNING(A)
Definition: JMessage.hh:65
JEEP::getValue
double getValue(const JScale_t scale)
Get numerical value corresponding to scale.
Definition: JScale.hh:47
JEEP::debug_t
debug
Definition: JMessage.hh:29
replace
TString replace(const TString &target, const TRegexp &regexp, const T &replacement)
Replace regular expression in input by given replacement.
Definition: JPrintResult.cc:63
gmake_property
#define gmake_property(A)
macro to convert (template) parameter to JPropertiesElement object
Definition: JProperties.hh:1291
JDETECTOR::JPMTParameters::gainSpread
double gainSpread
gain spread [unit]
Definition: JPMTParameters.hh:235
JCALIBRATE::FITTOT_GAIN_MAX
static const double FITTOT_GAIN_MAX
Default maximal gain.
Definition: JFitToT.hh:44
JDETECTOR::JDetector
Detector data structure.
Definition: JDetector.hh:89
JDETECTOR::TIME_OVER_THRESHOLD_NS
const double TIME_OVER_THRESHOLD_NS
Specification for time-over-threshold corresponding to a one photo-electron pulse.
Definition: JDetector/JCalibration.hh:30
JCALIBRATE::FITTOT_GAIN_MIN
static const double FITTOT_GAIN_MIN
Default minimal gain.
Definition: JFitToT.hh:43
name
then echo Enter input within $TIMEOUT_S seconds echo n User name
Definition: JCookie.sh:42
JEEP::JProperties
Utility class to parse parameter values.
Definition: JProperties.hh:496
parameters
*fatal Wrong number of arguments esac JCookie sh typeset Z DETECTOR typeset Z SOURCE_RUN typeset Z TARGET_RUN set_variable PARAMETERS_FILE $WORKDIR parameters
Definition: diff-Tuna.sh:38
MAKE_CSTRING
#define MAKE_CSTRING(A)
Make C-string.
Definition: JPrint.hh:151
h1
then for HISTOGRAM in h0 h1
Definition: JMatrixNZ.sh:71
JPARSER::initialised
Empty structure for specification of parser element that is initialised (i.e. does not require input)...
Definition: JParser.hh:66
FIXED
Auxiliary data structure for floating point format specification.
Definition: JManip.hh:446
outputFile
string outputFile
Definition: JDAQTimesliceSelector.cc:37
JCALIBRATE::JFitToT
Parametrisation of time-over-threshold distribution.
Definition: JFitToT.hh:179
JCALIBRATE::JFitToTParameters
Fit parameters for two-fold coincidence rate due to K40.
Definition: JFitToT.hh:53
MAKE_STRING
#define MAKE_STRING(A)
Make string.
Definition: JPrint.hh:142
JCALIBRATE::FITTOT_SUFFIX
static const std::string FITTOT_SUFFIX
Definition: JFitToT.hh:36
JLANG::JTypeList
Type list.
Definition: JTypeList.hh:22
JDETECTOR::JPMTParameters::mean_ns
double mean_ns
mean time-over-threshold of threshold-band hits [ns]
Definition: JPMTParameters.hh:241
JAANET::detector
Detector file.
Definition: JHead.hh:196
JDETECTOR::JPMTParameters::sigma_ns
double sigma_ns
time-over-threshold standard deviation of threshold-band hits [ns]
Definition: JPMTParameters.hh:242
JCALIBRATE::FITTOT_GAINSPREAD_MAX
static const double FITTOT_GAINSPREAD_MAX
Default maximal gain spread.
Definition: JFitToT.hh:47
make_field
#define make_field(A,...)
macro to convert parameter to JParserTemplateElement object
Definition: JParser.hh:1961
JTOOLS::result
return result
Definition: JPolint.hh:727
NOTICE
#define NOTICE(A)
Definition: JMessage.hh:64
JDETECTOR::JPMTParametersMap
Auxiliary class for map of PMT parameters.
Definition: JPMTParametersMap.hh:89
debug
int debug
debug level
Definition: JSirene.cc:63
FILL
Auxiliary data structure for sequence of same character.
Definition: JManip.hh:328
FATAL
#define FATAL(A)
Definition: JMessage.hh:67
JLANG::JObjectStreamIO::load
void load(const char *file_name)
Load from input file.
Definition: JObjectStreamIO.hh:30
range
z range($ZMAX-$ZMIN)< $MINIMAL_DZ." fi fi typeset -Z 4 STRING typeset -Z 2 FLOOR JPlot1D -f $
Definition: module-Z:fit.sh:118
gain
then $JPP_DIR examples JDetector JToT o $OUTPUT_FILE n N $NPE P gain
Definition: JToT.sh:47
JDETECTOR::load
void load(const std::string &file_name, JDetector &detector)
Load detector from input file.
Definition: JDetectorToolkit.hh:475
DEBUG
then usage $script< input_file >< detector_file > fi set_variable OUTPUT_DIR set_variable SELECTOR JDAQTimesliceL1 set_variable DEBUG case set_variable DEBUG
Definition: JCalibratePMT.sh:21
JCALIBRATE::_2SToT
static const char *const _2SToT
Histogram naming.
Definition: JCalibrateToT.hh:16
JCALIBRATE::FITTOT_GAINSPREAD_MIN
static const double FITTOT_GAINSPREAD_MIN
Default minimal gain spread.
Definition: JFitToT.hh:46
JSUPPORT::JSingleFileScanner
Object reading from a list of files.
Definition: JSingleFileScanner.hh:75
values
possible values
Definition: detector-XY:run.sh:43
JDETECTOR::JPMTParameters
Data structure for PMT parameters.
Definition: JPMTParameters.hh:29
detector
do set_variable DETECTOR_TXT $WORKDIR detector
Definition: detector-XY:fit1d.sh:38
KM3NETDAQ::NUMBER_OF_PMTS
static const int NUMBER_OF_PMTS
Total number of PMTs in module.
Definition: JDAQ.hh:26
in
then fatal Wrong number of arguments fi set_variable DETECTOR $argv[1] set_variable INPUT_FILE $argv[2] eval JPrintDetector a $DETECTOR O IDENTIFIER eval JPrintDetector a $DETECTOR O SUMMARY source JAcoustics sh $DETECTOR_ID CHECK_EXIT_CODE typeset A TRIPODS get_tripods $WORKDIR tripod txt TRIPODS for EMITTER in
Definition: JCanberra.sh:41
JROOT::JRootFileReader
ROOT file reader.
Definition: JRootFileReader.hh:54
JCALIBRATE::FITTOT_FNAME
static const std::string FITTOT_FNAME
Definition: JFitToT.hh:37
JTRIGGER::weight
std::vector< double > weight
Definition: JAlgorithm.hh:417
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