Angular analysis of B+->K*+(K+pi0)mumu
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//Renata Kopecna
#ifndef PARSEOPTS_HH
#define PARSEOPTS_HH
//TODO: toys
//TODO: this should probably be a class instead of a struct
//parameters
//b Bin #b
//d Dataset; 0 :data, 1 MC, ...
//g FoldinG
//e number of Events
//i,j general purpose indices
//l get likelihood profiles of final fit?
//p Use P' instead of S
//r Run: 0/1/2/12/21/22
//n number of toys
//o feLdmanCousins
//u Number of bins
//v Verbosity
//y Year: 2011, 2012, 2015, 2016, 2017, 2018
//z Used for testing stuff in case one needs an extra parameter to tune or so
struct basic_params{ int bin; int dataset; int folding; int index; int jobID; bool likelyhood; bool FeldCous; bool usePprime; bool reference; int Run; int year; int nEvents; int nBins; int verbosity; int testInt; int polarity;
basic_params(){ bin = -1; dataset = -1; folding = -1; index = -1; jobID = -1; Run = -1; year = -1; nEvents = -1; nBins = -1; likelyhood = false; FeldCous = false; usePprime = false; reference = false; verbosity = 2; testInt = -1; polarity = 0; } };
//Actions
//a angular resolution
//c angular Correction
//f fit:
//0: bkg only (0 signals :) (only ang fit!)
//1: Full fit (2D+4D)
//2: 2D mass fit
//3: MoM
//4: 4D MC fit (B mass+angles in bins of q2)
//5: GenLvlFit
//h Get help
//k convert Events
//m pulls from MC
//s systematics
//t pulls from toys
struct basic_actions{ bool angRes; bool angCorr; //Use generic index i to set whether it is a scan or not
bool angCorrScan; bool convert; int fitType; bool getHelp; int systematics; bool genToys; bool pullsToys; bool pullsMC; bool script;
basic_actions(){ fitType = -1; systematics = -1; angCorrScan = false; angRes = false; angCorr = false; convert = false; getHelp = false; genToys = false; pullsToys = false; pullsMC = false; script = false; } };
int parseOpts(int argc, char *argv[], basic_params &par, basic_actions &act, int nMCEvents); int checkOpts(basic_params &par, basic_actions &act);
#endif // PARSEOPTS_HH
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