| 1 | #!/bin/sh
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| 2 | # ========================================================================
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| 3 | #
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| 4 | # *
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| 5 | # * This file is part of MARS, the MAGIC Analysis and Reconstruction
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| 6 | # * Software. It is distributed to you in the hope that it can be a useful
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| 7 | # * and timesaving tool in analysing Data of imaging Cerenkov telescopes.
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| 8 | # * It is distributed WITHOUT ANY WARRANTY.
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| 9 | # *
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| 10 | # * Permission to use, copy, modify and distribute this software and its
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| 11 | # * documentation for any purpose is hereby granted without fee,
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| 12 | # * provided that the above copyright notice appear in all copies and
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| 13 | # * that both that copyright notice and this permission notice appear
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| 14 | # * in supporting documentation. It is provided "as is" without express
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| 15 | # * or implied warranty.
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| 16 | # *
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| 17 | #
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| 18 | #
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| 19 | # Author(s): Daniela Dorner 05/2006 <mailto:dorner@astro.uni-wuerzburg.de>
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| 20 | #
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| 21 | # Copyright: MAGIC Software Development, 2000-2007
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| 22 | #
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| 23 | #
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| 24 | # ========================================================================
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| 25 | #
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| 26 | #
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| 27 | #
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| 28 | ##############################################################################
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| 29 | #
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| 30 | # This script creates mc sequences and datasets for a psf, observation mode
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| 31 | # and zenith range chosen by the user.
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| 32 | #
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| 33 | # variables, that have to be set by the user:
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| 34 | # - path directory, where the mc sequence and dataset files are stored
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| 35 | # be careful: don't move the sequence files afterwards, as the
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| 36 | # paths are stored in the datasetfiles
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| 37 | # - zdmin minimum zenith distance
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| 38 | # - zdmax maximum zenith distance
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| 39 | # - psf psf
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| 40 | # at the moment mc with psf 14 and 20 is available
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| 41 | # - modes observation mode
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| 42 | # the explanation for the modes can be found in
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| 43 | # /montecarlo/rawfiles/README.txt
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| 44 | # - numruns num of runs, that are in the sequence file, which are used
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| 45 | # for training (SequencesOn in $mcdataset)
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| 46 | #
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| 47 | # Remark: For the training of the RF for the energy estimation you need the
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| 48 | # macro trainengery.C in the path $path/macros in a modified version, i.e. the
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| 49 | # inputfile (mcdataset) and the outputfile (rf-root file) are given as
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| 50 | # options: $macrospath/trainenergy.C+\("\"$mcdataset\""\,"\"$rffile\""\)
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| 51 | #
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| 52 | # Remark: You have to run the script in your Mars directory.
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| 53 | #
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| 54 | ##############################################################################
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| 55 |
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| 56 |
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| 57 | path=/home/dorner/final_analysis
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| 58 | mcoutpath=$path/mc
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| 59 | macrospath=$path/macros
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| 60 | mcdataset=$mcoutpath/mcdataset.txt
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| 61 | mcdataset2=$mcoutpath/mcdataset2.txt
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| 62 |
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| 63 | zdmin=17
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| 64 | zdmax=35
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| 65 | psf=14
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| 66 | modes=( "02" ) # nowobble
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| 67 | numruns=3
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| 68 |
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| 69 | # be careful with $date, when path changes
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| 70 | mcpath=/magic/montecarlo
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| 71 |
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| 72 | zbinmin=`echo "scale=2 ; 100*(1 - c($zdmin*3.14/180))+1" | bc -l`
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| 73 | zbinmax=`echo "scale=2 ; 100*(1 - c($zdmax*3.14/180))+1" | bc -l`
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| 74 |
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| 75 | zbinmin=`echo $zbinmin | cut -d. -f1`
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| 76 | zbinmax=`echo $zbinmax | cut -d. -f1`
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| 77 |
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| 78 | echo "zd: min: $zdmin max: $zdmax"
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| 79 | echo "zbin: min: $zbinmin max: $zbinmax"
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| 80 | echo "$numruns runs are classified as test the rest as train"
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| 81 |
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| 82 | j=0
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| 83 | for mode in $modes
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| 84 | do
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| 85 | for (( i=$zbinmin ; i < $zbinmax ; i++ ))
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| 86 | do
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| 87 | zbin=`printf %02d $i`
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| 88 | path=$mcpath/rawfiles/19$zbin/$mode/$psf
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| 89 | runs=(`ls $path | grep Gamma | cut -d_ -f2 | sed -e 's/^0//g' -e 's/^0//g' -e 's/^0//g' -e 's/^0//g' -e 's/^0//g' -e 's/^0//g' | tr "\n" " "`)
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| 90 | if [ "$runs" = "" ]
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| 91 | then
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| 92 | echo " no runs found for zbin $i "
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| 93 | continue
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| 94 | fi
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| 95 | echo "found ${#runs[@]} Gamma MC files in path "$path
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| 96 |
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| 97 | runsforfirst=""
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| 98 | firstrun=${runs[0]}
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| 99 | secondrun=${runs[${numruns}]}
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| 100 | firstrunno=`printf %08d $firstrun`
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| 101 | secondrunno=`printf %08d $secondrun`
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| 102 | unset runs[0]
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| 103 | for (( k=1 ; k < $numruns ; k++ ))
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| 104 | do
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| 105 | runsforfirst=$runsforfirst" ${runs[$k]}"
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| 106 | unset runs[$k]
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| 107 | done
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| 108 | date=`echo $path | cut -d/ -f5-7 | sed -e 's/\//-/g'`
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| 109 |
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| 110 | trainsequfile=$mcoutpath/sequence$firstrunno.txt
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| 111 | trainsequences[$j]=$firstrunno
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| 112 | echo " writing train-sequfile "$trainsequfile
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| 113 | echo "Sequence: $firstrun" > $trainsequfile
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| 114 | echo "Night: $date" >> $trainsequfile
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| 115 | echo "" >> $trainsequfile
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| 116 | echo "CalRuns: 1" >> $trainsequfile
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| 117 | echo "PedRuns: 2" >> $trainsequfile
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| 118 | echo "DatRuns: $firstrun$runsforfirst" >> $trainsequfile
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| 119 | echo "" >> $trainsequfile
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| 120 | echo "MonteCarlo: Yes" >> $trainsequfile
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| 121 | echo "" >> $trainsequfile
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| 122 |
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| 123 | testsequfile=$mcoutpath/sequence$secondrunno.txt
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| 124 | testsequences[$j]=$secondrunno
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| 125 | # echo "writing test-sequfile "$testsequfile
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| 126 | echo "Sequence: $secondrun" > $testsequfile
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| 127 | echo "Night: $date" >> $testsequfile
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| 128 | echo "" >> $testsequfile
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| 129 | echo "CalRuns: 1" >> $testsequfile
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| 130 | echo "PedRuns: 2" >> $testsequfile
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| 131 | echo "DatRuns: ${runs[@]}" >> $testsequfile
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| 132 | echo "" >> $testsequfile
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| 133 | echo "MonteCarlo: Yes" >> $testsequfile
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| 134 | echo "" >> $testsequfile
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| 135 |
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| 136 | j=$j+1
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| 137 | done
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| 138 | done
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| 139 |
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| 140 | echo "# test sequences: ${#testsequences[@]}"
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| 141 | echo "# train sequences: ${#trainsequences[@]}"
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| 142 |
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| 143 | echo "AnalysisNumber: 1 " > $mcdataset
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| 144 | echo "" >> $mcdataset
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| 145 | echo "SequencesOn: ${trainsequences[@]}" >> $mcdataset
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| 146 | echo "" >> $mcdataset
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| 147 | echo "SequencesOff: ${testsequences[@]}" >> $mcdataset
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| 148 | echo "" >> $mcdataset
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| 149 | echo "" >> $mcdataset
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| 150 |
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| 151 | echo "AnalysisNumber: 1 " > $mcdataset2
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| 152 | echo "" >> $mcdataset2
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| 153 | echo "SequencesOn: ${testsequences[@]}" >> $mcdataset2
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| 154 | echo "" >> $mcdataset2
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| 155 | echo "" >> $mcdataset2
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| 156 |
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| 157 | for (( i=0 ; i < ${#testsequences[@]} ; i++ ))
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| 158 | do
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| 159 | numtrain=${trainsequences[$i]}
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| 160 | notrain=`echo $numtrain | cut -c 0-4`
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| 161 | echo "Sequence$numtrain.File: $mcoutpath/sequence$numtrain.txt" >> $mcdataset
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| 162 | echo "Sequence$numtrain.Dir: $mcpath/star/$notrain/$numtrain" >> $mcdataset
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| 163 | echo "Sequence$numtrain.File: $mcoutpath/sequence$numtrain.txt" >> $mcdataset2
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| 164 | echo "Sequence$numtrain.Dir: $mcpath/star/$notrain/$numtrain" >> $mcdataset2
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| 165 |
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| 166 | numtest=${testsequences[$i]}
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| 167 | notest=`echo $numtest | cut -c 0-4`
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| 168 | echo "Sequence$numtest.File: $mcoutpath/sequence$numtest.txt" >> $mcdataset
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| 169 | echo "Sequence$numtest.Dir: $mcpath/star/$notrain/$numtrain" >> $mcdataset
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| 170 | echo "Sequence$numtest.File: $mcoutpath/sequence$numtest.txt" >> $mcdataset2
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| 171 | echo "Sequence$numtest.Dir: $mcpath/star/$notrain/$numtrain" >> $mcdataset2
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| 172 | done
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| 173 |
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| 174 |
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| 175 | logfile=$mcoutpath/trainenergy.log
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| 176 | rffile=$mcoutpath/rf-energy.root
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| 177 |
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| 178 | echo "mcdataset: $mcdataset"
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| 179 | echo "rffile: $rffile"
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| 180 | echo "macrospath: $macrospath"
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| 181 | root -q -b $macrospath/trainenergy.C+\("\"$mcdataset\""\,"\"$rffile\""\) | tee $logfile
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| 182 |
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