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378 lines
11 KiB
378 lines
11 KiB
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import subprocess
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from subprocess import Popen, PIPE
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decay_number_dict = {
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"SigMC" : {
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"2011": {
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"E": "3500",
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"nu": "2",
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"trigger": "0x40760037",
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"stripping": "21r1",
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"reco": "Reco14c",
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"simVer": "Sim09a",
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"dst": "DST",
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"merge": ""
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},
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"2012": {
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"E": "4000",
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"nu": "2.5",
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"trigger": "0x409f0045",
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"stripping": "21",
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"reco": "Reco14c",
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"simVer": "Sim09a",
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"dst": "DST",
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"merge": ""
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},
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"2015": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "0x411400a2",
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"stripping": "24r2",
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"reco": "Reco15a/Turbo02",
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"simVer": "Sim09i",
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"dst": "DST",
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"merge": ""
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},
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"2016": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "0x6139160F",
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"stripping": "28r2",
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"reco": "Reco16/Turbo03a",
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"simVer": "Sim09i",
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"dst": "DST",
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"merge": ""
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},
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"2017": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "0x62661709",
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"stripping": "29r2",
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"reco": "Reco17/Turbo04a-WithTurcal",
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"simVer": "Sim09e",
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"dst": "MDST",
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"merge": ""
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},
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"2018": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "0x617d18a4",
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"stripping": "34r0p1", #34 for 12115102
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"reco": "Reco18/Turbo05-WithTurcal",
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"simVer": "Sim09h", #Sim09f for 12115102
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"dst": "DST",
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"merge": ""
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},
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"general":{
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"dec_ID": "12113100", #same for 12115102
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"filter": "NoPrescalingFlagged",
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"stream": "ALLSTREAMS",
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"pythiaVer": "8"
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}
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},
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"RefMC" : {
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"2011": {
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"E": "3500",
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"nu": "2",
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"trigger": "0x40760037",
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"stripping": "21r1",
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"reco": "Reco14c",
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"simVer": "Sim09a",
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"dst": "DST",
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"merge": ""
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},
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"2012": {
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"E": "4000",
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"nu": "2.5",
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"trigger": "0x409f0045",
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"stripping": "21",
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"reco": "Reco14c",
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"simVer": "Sim09a",
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"dst": "DST",
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"merge": ""
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},
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"2015": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "0x411400a2",
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"stripping": "24r1",
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"reco": "Reco15a/Turbo02",
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"simVer": "Sim09e",
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"dst": "DST",
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"merge": ""
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},
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"2016": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "0x6139160F",
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"stripping": "28r1",
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"reco": "Reco16/Turbo03",
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"simVer": "Sim09e",
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"dst": "DST",
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"merge": ""
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},
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"general":{
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"dec_ID": "12143401", #same for 12145102
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"filter": "NoPrescalingFlagged",
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"stream": "ALLSTREAMS",
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"pythiaVer": "8"
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}
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},
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"PHSP" : { #same for 12115179
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"2011": {
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"E": "3500",
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"nu": "2",
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"trigger": "0x40760037",
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"stripping": "21r1p1",
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"reco": "Reco14c",
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"simVer": "Sim09f",
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"dst": "DST",
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"merge": "Merge14/",
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"pythiaVer": "8"
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},
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"2012": {
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"E": "4000",
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"nu": "2.5",
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"trigger": "0x409f0045",
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"stripping": "21r0p1",
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"reco": "Reco14c",
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"simVer": "Sim09f",
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"dst": "DST",
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"merge": "Merge14/",
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"pythiaVer": "8"
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},
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"2015": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "0x411400a2",
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"stripping": "24r1",
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"reco": "Reco15a/Turbo02",
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"simVer": "Sim09h",
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"dst": "MDST",
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"merge": "",
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"pythiaVer": "6"
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},
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"2016": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "0x6139160F",
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"stripping": "28r1",
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"reco": "Reco16/Turbo03",
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"simVer": "Sim09f",
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"dst": "MDST",
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"merge": "Merge14/",
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"pythiaVer": "8"
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},
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"2017": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "0x62661709",
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"stripping": "29r2",
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"reco": "Reco17/Turbo04a-WithTurcal",
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"simVer": "Sim09f",
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"dst": "MDST",
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"merge": "Merge14/",
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"pythiaVer": "8"
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},
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"2018": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "0x617d18a4",
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"stripping": "34",
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"reco": "Reco18/Turbo05-WithTurcal",
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"simVer": "Sim09f",
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"dst": "MDST",
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"merge": "Merge14/",
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"pythiaVer": "8"
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},
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"general":{
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"dec_ID": "12113446", #same for 12115179
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"filter": "Filtered",
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"stream": "B2XMUMU.STRIP"
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}
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},
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"data" : {
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"11": {
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"E": "3500",
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"nu": "2",
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"trigger": "",
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"stripping": "21r1",
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"reco": "Reco14",
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"dst": "MDST"
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},
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"12": {
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"E": "4000",
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"nu": "2.5",
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"trigger": "",
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"stripping": "21r0p1a",
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"reco": "Reco14",
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"dst": "MDST"
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},
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"15": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "",
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"stripping": "24r2",
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"reco": "Reco15a",
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"dst": "MDST"
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},
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"16": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "",
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"stripping": "28r2",
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"reco": "Reco16",
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"dst": "MDST"
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},
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"17": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "",
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"stripping": "29r2",
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"reco": "Reco17",
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"dst": "MDST"
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},
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"18": {
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"E": "6500",
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"nu": "1.6-25ns",
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"trigger": "",
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"stripping": "34r0p1", #34 for 12115102
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"reco": "Reco18",
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"dst": "MDST"
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},
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"general":{
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"dec_ID": "90000000",
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"filter": "NoPrescalingFlagged",
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"stream": "ALLSTREAMS",
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"pythiaVer": "8",
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"merge": "",
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"simVer": "",
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"trigger": ""
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}
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}
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}
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year_dict ={"SigMC": ["2011", "2012","2015", "2016", "2017", "2018"],
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"RefMC": ["2011", "2012","2015", "2016"],
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"PHSP": ["2011", "2012","2015", "2016", "2017", "2018"],
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"data": ["11", "12","15", "16", "17", "18"]
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}
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def getPath(year, pol, sample):
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tmp_dict = dict(decay_number_dict[sample][year])
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gen_dict = dict(decay_number_dict[sample]["general"])
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tmp_dict.update(gen_dict)
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tmp_dict["year"] = year
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tmp_dict["pol"] = pol
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if (sample == "data"): #data
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PATH ="/LHCb/Collision%(year)s/Beam%(E)sGeV-VeloClosed-Mag%(pol)s/Real Data/%(reco)s/Stripping%(stripping)s/%(dec_ID)s/LEPTONIC.%(dst)s" % tmp_dict
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else: #MC
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PATH = "/MC/%(year)s/Beam%(E)sGeV-%(year)s-Mag%(pol)s-Nu%(nu)s-Pythia%(pythiaVer)s/%(simVer)s/Trig%(trigger)s/%(reco)s/Stripping%(stripping)s%(filter)s/%(merge)s%(dec_ID)s/%(stream)s.%(dst)s" % tmp_dict
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print PATH
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OUTFILE = "%(dec_ID)s_%(year)s%(pol)s.py" % tmp_dict
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#print 'LFN output file: ', OUTFILE
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return PATH, OUTFILE
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def getLFNs(nFiles,BKKpath):
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#Call Dirac
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dirac_command = subprocess.Popen('lb-run LHCbDIRAC dirac-bookkeeping-get-files --BKQuery \"{0}\"'.format(BKKpath), shell=True, stdout=subprocess.PIPE)
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#Read in Dirac output
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stdout = dirac_command.communicate()[0]
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#Split the output per line
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stdout = stdout.split('\n')
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#Create an empty list
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LFNlist= []
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#Check how many files are required
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if (nFiles == -1): max_file = len(stdout)-2
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else: max_file = min(nFiles+3,len(stdout)-2)
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#First 3 entries are junk from LHCbDIRAC dirac-bookkeeping-get-files
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for i in range(3, max_file+1):
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tmpLFN = [stdout[i].split(' ')][0]
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tmpLFN = tmpLFN[0]
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LFNlist.append(tmpLFN)
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return LFNlist
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def writeLFNs(nFiles, year, pol, sample):
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#Get the paths
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BKKpath, LFNfile = getPath(year,pol, sample)
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#Get the LFNs from the paths
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lfn_list = getLFNs(nFiles,BKKpath)
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#Open the lfn target file and write all the lfns into it
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address_file = open(LFNfile,'w')
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address_file.write("""from Gaudi.Configuration import *\n""")
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address_file.write("""from GaudiConf import IOHelper\n""")
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address_file.write("""IOHelper('ROOT').inputFiles([\n""")
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for lfn in lfn_list:
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address_file.write("""'LFN:""" + lfn + """'\n""")
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address_file.write("""], clear=True)\n""")
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return
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def getProductionID(year, pol, sample):
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#Exctract the production ID from LFN
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path = getPath(year,pol,sample)
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lfn = getLFNs(1,path[0])[0]
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lfn_split = lfn.split('/')
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return lfn_split[5]
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def printAllProductionIDs(sample):
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for year in year_dict[sample]:
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print "Production ID for", sample, "year", year, "\t", getProductionID(year,"Down",sample)
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return
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def get_eff(year, pol, sample):
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import os
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command = "lb-run LHCbDirac/prod dirac-bookkeeping-rejection-stats -B " + str(getPath(year,pol, sample)[0])
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print command
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os.system(command)
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def get_tags(year, pol, sample):
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import os
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#command = "lb-run LHCbDirac/prod dirac-bookkeeping-production-information " + str(getProductionID(year,pol, sample)) + " | grep CONDDB"
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#print command
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#os.system(command)
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command = "lb-run LHCbDirac/prod dirac-bookkeeping-production-information " + str(getProductionID(year,pol, sample)) + " | grep DDB"
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#print command2
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os.system(command)
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#getPath("2011","Down", "SigMC")
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#getPath("2012","Down", "SigMC")
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#getPath("2015","Down", "SigMC")
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getPath("2016","Down", "SigMC")
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#getPath("2017","Down", "SigMC")
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#getPath("2018","Down", "SigMC")
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#getPath("2011","Down", "RefMC")
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#getPath("2012","Down", "RefMC")
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#getPath("2015","Down", "RefMC")
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#getPath("2016","Down", "RefMC")
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#getPath("2011","Down", "PHSP")
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#getPath("2012","Down", "PHSP")
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#getPath("2015","Down", "PHSP")
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#getPath("2016","Down", "PHSP")
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#getPath("2017","Down", "PHSP")
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#getPath("2018","Down", "PHSP")
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#printAllProductionIDs("RefMC")
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#printAllProductionIDs("PHSP")
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