source: branches/Mars_McMismatchStudy/macros/train/traincuts.C@ 20029

Last change on this file since 20029 was 9872, checked in by tbretz, 14 years ago
Added example macro traincuts.C
File size: 4.7 KB
Line 
1/* ======================================================================== *\
2!
3! *
4! * This file is part of MARS, the MAGIC Analysis and Reconstruction
5! * Software. It is distributed to you in the hope that it can be a useful
6! * and timesaving tool in analysing Data of imaging Cerenkov telescopes.
7! * It is distributed WITHOUT ANY WARRANTY.
8! *
9! * Permission to use, copy, modify and distribute this software and its
10! * documentation for any purpose is hereby granted without fee,
11! * provided that the above copyright notice appear in all copies and
12! * that both that copyright notice and this permission notice appear
13! * in supporting documentation. It is provided "as is" without express
14! * or implied warranty.
15! *
16!
17!
18! Author(s): Thomas Bretz, 8/2010 <mailto:thomas.bretz@epfl.ch>
19!
20! Copyright: MAGIC Software Development, 2000-2010
21!
22!
23\* ======================================================================== */
24
25/////////////////////////////////////////////////////////////////////////////
26//
27// traincuts.C
28// ===========
29//
30// For more details see the class description of MJTrainCuts
31//
32/////////////////////////////////////////////////////////////////////////////
33void traincuts()
34{
35 // Instantiate class
36 MJTrainCuts opt;
37 //opt.SetDebug();
38
39 // These are control parameters how to train the random forest (use with care!)
40 //opt.SetNumTrees(100);
41 //opt.SetNdSize(5);
42 //opt.SetNumTry(0);
43
44 // Setup datasets
45 MDataSet seton ("dataset_on.txt");
46 MDataSet setoff("dataset_off.txt");
47
48 opt.SetDataSetOn(seton);
49 opt.SetDataSetOff(setmix);
50
51 // Define the parameters you want the random forest to use
52 Int_t p00 = opt.AddParameter("MHillas.fSize");
53 Int_t p01 = opt.AddParameter("MHillas.GetArea*MGeomCam.fConvMm2Deg^2");
54 Int_t p02 = opt.AddParameter("MHillasSrc.fDist*MGeomCam.fConvMm2Deg");
55 Int_t p03 = opt.AddParameter("MHillasExt.fTimeSpreadWeighted");
56 Int_t p04 = opt.AddParameter("MHillasExt.fSlopeSpreadWeighted");
57
58 Int_t p05 = opt.AddParameter("MHillasExt.fSlopeLong*sign(MHillasSrc.fCosDeltaAlpha)/MGeomCam.fConvMm2Deg");
59 Int_t p06 = opt.AddParameter("MHillasExt.fM3Long*sign(MHillasSrc.fCosDeltaAlpha)*MGeomCam.fConvMm2Deg");
60
61 // A selection of more parameters
62 // Int_t p07 = opt.AddParameter("MNewImagePar.fLeakage1");
63 // Int_t p08 = opt.AddParameter("MNewImagePar.fLeakage2");
64 // Int_t p09 = opt.AddParameter("MNewImagePar.fConcCOG");
65 // Int_t p10 = opt.AddParameter("MNewImagePar.fConcCore");
66 // Int_t p11 = opt.AddParameter("MNewImagePar.fConc1");
67 // Int_t p12 = opt.AddParameter("MNewImagePar.fUsedArea*MGeomCam.fConvMm2Deg^2");
68 // Int_t p13 = opt.AddParameter("MNewImagePar.fCoreArea*MGeomCam.fConvMm2Deg^2");
69
70 // Define the binning for all the parameters
71 // opt.AddBinning(p00, MBinning(40, 10, 10000, "", "log")); // Size
72 // opt.AddBinning(p01, MBinning(40, 0, 0.3)); // Area
73 // opt.AddBinning(p02, MBinning(50, 0, 2.5)); // Dist
74 // opt.AddBinning(p03, MBinning(50, 0, 2.5)); // TimeSpreadW
75 // opt.AddBinning(p04, MBinning(50, 0, 1.0)); // SlopeSpreadW
76 // opt.AddBinning(p05, MBinning(51, -12, 12)); // SlopeLong
77 // opt.AddBinning(p06, MBinning(51, -0.5, 0.5)); // M3Long
78 // opt.AddBinning(p07, MBinning(50, 0, 0.5)); // Leakage1
79 // opt.AddBinning(p08, MBinning(50, 0, 0.5)); // Leakage2
80 // opt.AddBinning(p09, MBinning(50, 0, 1)); // ConcCOG
81 // opt.AddBinning(p10, MBinning(50, 0, 1)); // ConcCore
82 // opt.AddBinning(p11, MBinning(50, 0, 1)); // Conc1
83 // opt.AddBinning(p12, MBinning(50, 0, 0.3)); // UsedArea
84 // opt.AddBinning(p13, MBinning(50, 0, 0.3)); // CoreArea
85
86 // Define the histograms you want to see by AddHist(x[,y[,z]]);
87 opt.AddHist(p00, p01); // Area vs Size
88 opt.AddHist(p02, p03); // TimeSpreadW vs Dist
89 opt.AddHist(p02, p04); // SlopeSpreadW vs Dist
90 // opt.AddHist(p09);; // ConcCOG
91
92 // Define additional cuts which are applied after reading the data
93 //opt.AddPreCut("MNewImagePar.fConcCOG>0.1");
94 //opt.AddPreCut("MHillasSrc.fDist*MGeomCam.fConvMm2Deg<2.0");
95
96 // -------------------- Run ----------------------------
97
98 MStatusDisplay *d = new MStatusDisplay;
99 opt.SetDisplay(d);
100
101 // ------------------------------------------------------
102
103 // Use random forest regression method
104 // opt.EnableRegression();
105
106 // Allows overwrite of existing files
107 // opt.SetOverwrite();
108 opt.Process("rf-cuts.root");
109}
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