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112 lines
2.3 KiB
112 lines
2.3 KiB
//Renata Kopecna
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#ifndef PARSEOPTS_HH
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#define PARSEOPTS_HH
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//TODO: toys
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//TODO: this should probably be a class instead of a struct
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//parameters
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//b Bin #b
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//d Dataset; 0 :data, 1 MC, ...
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//g FoldinG
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//e number of Events
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//i,j general purpose indices
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//l get likelihood profiles of final fit?
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//p Use P' instead of S
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//r Run: 0/1/2/12/21/22
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//n number of toys
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//o feLdmanCousins
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//u Number of bins
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//v Verbosity
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//y Year: 2011, 2012, 2015, 2016, 2017, 2018
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//z Used for testing stuff in case one needs an extra parameter to tune or so
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struct basic_params{
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int bin;
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int dataset;
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int folding;
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int index;
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int jobID;
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bool likelyhood;
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bool FeldCous;
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bool usePprime;
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bool reference;
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int Run;
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int year;
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int nEvents;
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int nBins;
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int verbosity;
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int testInt;
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int polarity;
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basic_params(){
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bin = -1;
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dataset = -1;
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folding = -1;
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index = -1;
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jobID = -1;
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Run = -1;
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year = -1;
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nEvents = -1;
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nBins = -1;
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likelyhood = false;
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FeldCous = false;
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usePprime = false;
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reference = false;
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verbosity = 2;
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testInt = -1;
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polarity = 0;
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}
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};
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//Actions
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//a angular resolution
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//c angular Correction
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//f fit:
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//0: bkg only (0 signals :) (only ang fit!)
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//1: Full fit (2D+4D)
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//2: 2D mass fit
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//3: MoM
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//4: 4D MC fit (B mass+angles in bins of q2)
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//5: GenLvlFit
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//h Get help
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//k convert Events
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//m pulls from MC
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//s systematics
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//t pulls from toys
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struct basic_actions{
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bool angRes;
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bool angCorr; //Use generic index i to set whether it is a scan or not
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bool angCorrScan;
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bool convert;
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int fitType;
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bool getHelp;
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int systematics;
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bool genToys;
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bool pullsToys;
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bool pullsMC;
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bool script;
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basic_actions(){
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fitType = -1;
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systematics = -1;
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angCorrScan = false;
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angRes = false;
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angCorr = false;
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convert = false;
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getHelp = false;
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genToys = false;
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pullsToys = false;
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pullsMC = false;
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script = false;
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}
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};
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int parseOpts(int argc, char *argv[], basic_params &par, basic_actions &act, int nMCEvents);
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int checkOpts(basic_params &par, basic_actions &act);
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#endif // PARSEOPTS_HH
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