| 1 | # -------------------- Define your energy estimator -------------------
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| 2 |
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| 3 | # Manually optimized (for example using trainenergy.C)
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| 4 | EstimateEnergy.Rule: MHillas.fSize^0.906*pow(10, -0.831*(MHillasSrc.fDist*3.37e-3-0.161)^2*(MHillasSrc.fDist*3.37e-3>0.161) + 2.21*(MHillasSrc.fDist*3.37e-3-0.493)^2*(MHillasSrc.fDist*3.37e-3>0.493) + 8.18e-6*MPointingPos.fZd^2.82 - 0.1*MNewImagePar.fLeakage1^0.2)
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| 5 |
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| 6 | # You can use instead the Random Forest energy estimator
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| 7 | # (for example trained by trainenergy.C)
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| 8 | #EstimateEnergy: MRanForestCalc
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| 9 | #EstimateEnergy.NameOutput: MEnergyEst
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| 10 | #EstimateEnergy.FileName: rf-energy.root
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| 11 | #EstimateEnergy.Debug: No
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| 12 |
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| 13 | # ------------------------ Define your binnings -----------------------
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| 14 |
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| 15 | # The energy binning is mandatory
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| 16 | BinningEnergyEst.Raw: 18 53 35800 log
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| 17 |
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| 18 | # Binnings used for the Energy- and Disp-tab
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| 19 | #BinningSize.Raw: 50 10 100000 log
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| 20 | #BinningLeakage.Raw: 50 0 0.3 lin
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| 21 | #BinningEnergyResidual.Raw: 51 -1 1 lin
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| 22 | #BinningResidualDist.Raw: 51 -1 1 lin
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| 23 |
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| 24 | # A change of the theta binning must be done in ganymed (see below) :(
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| 25 | #BinningTheta.Raw: 101 -0.005 0.505 asin
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| 26 |
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| 27 | # --------------- Setup the weighting for your spectrum ---------------
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| 28 | # For more details see McSpectrumWeight::ReadEnv
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| 29 |
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| 30 | # A simple power law with a differential spectral index of -4
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| 31 | #MMcSpectrumWeight.NewSlope: -4
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| 32 |
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| 33 | # Give a formula for the spectrum. Capital X is a place-holder
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| 34 | # for the energy (eg. the crab-spectrum from our publication)
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| 35 | #MMcSpectrumWeight.Formula: pow(X/300, -2.31-0.26*log10(X/300))
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| 36 |
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| 37 | # ----------------------- Additional setup ----------------------------
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| 38 |
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| 39 | # In the loop filling the ThetaSq histogram the theta cut is switched off
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| 40 | # and the theta-cut is implicitly done in the histogram. Reading the
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| 41 | # Monte Carlo for determining the collection area there is no theta-
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| 42 | # histogram involved, thus you need the theta cut switched on
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| 43 | MJSpectrum.Cut1.ThetaCut: On
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| 44 |
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| 45 | # You may want to change the scale region to a different region than
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| 46 | # previously used in your ganymed-file. This might be usefull for
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| 47 | # on/off-data. Note, that the result can also depend on what else
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| 48 | # was setup for your MAlphaFitter in ganymed.
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| 49 | #MAlphaFitter.ScaleMin: 0.137
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| 50 | #MAlphaFitter.ScaleMax: 0.500
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| 51 |
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| 52 | # You may use this to change the scale and/or fit region for
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| 53 | # determination of the excess vs energy (can be usefull in On/Off mode)
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| 54 | #MAlphaFitter.ScaleMode: Fixed
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| 55 |
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| 56 | # You may want to allow scaling of each energy bin individually. (This
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| 57 | # can be useful if on- and off- data in wobble mode do not agree well)
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| 58 | #MAlphaFitter.ScaleMode: background
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| 59 | #MAlphaFitter.BackgroundFitMin: 0.09
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| 60 | #MAlphaFitter.BackgroundFitMax: 0.25
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| 61 |
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| 62 | # ------------------------- Additional cut ----------------------------
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| 63 |
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| 64 | # You can apply a cut in addition to all other cuts to your data and
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| 65 | # MOnte Carlos. This can be usefull for example to setup a second
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| 66 | # MFMagicCuts with a tighter behaviour assuming that your ganymed
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| 67 | # was written with a really loose cut.
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| 68 | #CutS.Inverted: Yes
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| 69 | #CutS.Condition: MFMagicCuts
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| 70 | #CutS.ThetaCut: None
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| 71 | #CutS.HadronnesCut: Area
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| 72 | # Parametrization of Area
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| 73 | #CutS.Param2: 0.215468
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| 74 | #CutS.Param3: 5.63973
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| 75 | #CutS.Param4: 0.0836169
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| 76 |
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| 77 | # --------------------------- Other binnings --------------------------
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| 78 |
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| 79 | # Binnings that are used by sponde but can not/shoud not be changed
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| 80 | # because they are taken from the ganymed file
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| 81 | #BinningTheta
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| 82 | #BinningWidth
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| 83 | #BinningLength
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| 84 | #BinningDist
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| 85 | #BinningM3Long
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| 86 | #BinningM3Trans
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| 87 | #BinningSlope
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| 88 | #BinningAsym
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| 89 | #BinningConc1
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