S231020bw S231020bw
cbc-workflow-o4a
Current version: 207f627a
recorded 2024-09-17 21:41 UTC
v1
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Selected version 7655e663. Compared with previous version 43e512d5.
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Changes from previous version 43e512d5 to selected version 7655e663
Change legend: Added exists only in the selected version; Removed exists only in the baseline; Changed has different values.
2 field changes.
-
Changed
DetectorCharacterization › RecommendedDetectors › 0 › FrameType
- Baseline
H1_HOFT_C00- Selected
H1_HOFT_C00_AR
-
Changed
DetectorCharacterization › RecommendedDetectors › 0 › RecommendedChannel
- Baseline
H1:GDS-CALIB_STRAIN_CLEAN- Selected
H1:GDS-CALIB_STRAIN_CLEAN_AR
View raw JSON diff
Technical inspection aid only. The semantic summary above remains authoritative.
Baseline 43e512d5
{"Info": {"Notes": []}, "Sname": "S231020bw", "GraceDB": {"Events": [{"FAR": 3.452423244201222e-10, "UID": "G447745", "XML": "https://gracedb.ligo.org/api/events/G447745/files/coinc.xml", "Pbbh": 0.9996526605007555, "Pbns": 7.902891464001242e-35, "H1SNR": 1.4108087, "HasNS": 0.0, "L1SNR": 12.478506, "Mass1": 191.81351, "Mass2": 191.81351, "Pnsbh": 7.072167673594281e-33, "State": "preferred", "Pastro": 0.9996526605007555, "Skymap": "https://gracedb.ligo.org/api/events/G447745/files/bayestar.multiorder.fits", "Spin1z": -0.092812501, "Spin2z": -0.092812501, "GPSTime": 1381860327.780446, "Pipeline": "gstlal", "HasMassGap": 0.0, "HasRemnant": 0.0, "NetworkSNR": 12.5580052290607, "SourceClassification": "https://gracedb.ligo.org/api/events/G447745/files/gstlal.p_astro.json"}], "LastUpdate": "2024-03-04 11:08:06.913759", "Instruments": "H1,L1"}, "Lensing": {"Analyses": []}, "Cosmology": {"PreferredLowLatencySkymap": "https://gracedb.ligo.org/api/events/G447745/files/bayestar.multiorder.fits"}, "TestingGR": {"Notes": [], "BHMAnalyses": [], "FTIAnalyses": [], "MDRAnalyses": [], "POLAnalyses": [], "SIMAnalyses": [], "SMAAnalyses": [], "SSBAnalyses": [], "LOSAAnalyses": [], "IMRCTAnalyses": [], "TIGERAnalyses": [], "PCATGRAnalyses": [], "PYRINGAnalyses": [], "PSEOBRDAnalyses": [], "EchoesCWBAnalyses": [], "ResidualsAnalyses": [], "ModeledEchoesAnalyses": [], "UnmodeledEchoesAnalyses": [], "QNMRationalFilterAnalyses": []}, "Publications": {"Papers": []}, "ExtremeMatter": {"Analyses": []}, "ParameterEstimation": {"Notes": [], "Status": "complete", "Results": [{"UID": "online", "Notes": ["Automatic online PE run succeeded", "Results copied from /home/pe.o4/O4a/S231020bw/online/bilby"], "RunStatus": "complete", "ConfigFile": {"Path": "CIT:/home/pe.o4/public_html/O4a/S231020bw/online/bilby/G447745_config_complete.ini", "MD5Sum": "c07ed996a54f40ec5bd24839a023824d", "DateLastModified": "2023/10/20 11:11:16"}, "Deprecated": false, "ResultFile": {"Path": "CIT:/home/pe.o4/public_html/O4a/S231020bw/online/bilby/final_result/G447745_data0_1381860327-780446_analysis_H1L1_merge_result.hdf5", "MD5Sum": "f4034530468a1b5cdb34df2ab3890e17", "DateLastModified": "2023/10/20 12:09:10"}, "Publications": [], "ReviewStatus": "pass", "PESummaryPageURL": "https://ldas-jobs.ligo.caltech.edu/~pe.o4/O4a/S231020bw/online/summary/home.html", "InferenceSoftware": "bilby", "PESummaryResultFile": {"Path": "CIT:/home/pe.o4/public_html/O4a/S231020bw/online/summary/samples/posterior_samples.h5", "MD5Sum": "a66e64e3d56b1d7a2dc53967a1582c54", "DateLastModified": "2023/11/22 08:18:06"}, "WaveformApproximant": "IMRPhenomXPHM"}, {"UID": "Exp0", "Notes": ["Generally a copy of the onlinePE configuration, but with the upper Mchirp prior bound extended from 200 to 300 Msun", "L-only analysis is fully capable of explaninig HL posterior, the H-only analysis contains literally no signal information.", "Posteriors from HL (as well as L-only analysis) consistent with the onlinePE analysis", "Due to the extended prior, the ROQ likelihood was not applicable, and the standard GravitationalWaveTransient was used", "The analysis also was done with the coherence-test active, only the HL analysis is uploaded to GraceDB"], "RunStatus": "complete", "ConfigFile": {"Path": "CIT:/home/pe.o4/public_html/O4a/S231020bw/Exp0/bilby/EXP0_config_complete.ini", "MD5Sum": "963d61fb45ed3b74fc3d30d03a38773d", "DateLastModified": "2023/10/20 13:01:41"}, "Deprecated": false, "ResultFile": {"Path": "CIT:/home/pe.o4/public_html/O4a/S231020bw/Exp0/bilby/final_result/EXP0_data0_1381860327-780446_analysis_H1L1_merge_result.hdf5", "MD5Sum": "cc13fad9fb13d67e0776c9a891449de0", "DateLastModified": "2023/10/20 15:24:11"}, "Publications": [], "ReviewStatus": "pass", "PESummaryPageURL": "https://ldas-jobs.ligo.caltech.edu/~pe.o4/O4a/S231020bw/Exp0/summary/home.html", "InferenceSoftware": "bilby", "PESummaryResultFile": {"Path": "CIT:/home/pe.o4/public_html/O4a/S231020bw/Exp0/summary/samples/posterior_samples.h5", "MD5Sum": "dd0fd6df419fb76b1933a162a35572eb", "DateLastModified": "2023/11/22 08:18:06"}, "WaveformApproximant": "IMRPhenomXPHM"}], "Analysts": ["Rachel Langgin"], "Reviewers": ["Carl-Johan Haster"], "SafeSamplingRate": 4096.0, "IllustrativeResult": "Exp0", "SafeLowerMassRatio": 0.05}, "RatesAndPopulations": {"RnPRunsUsingThisSuperevent": []}, "DetectorCharacterization": {"Notes": [""], "Status": "ongoing", "Analysts": ["Dishari Malakar", "dishari.malakar@ligo.org", "Jess McIver", "jess.mciver@ligo.org", "Laura Nuttall", "laura.nuttall@port.ac.uk", "Laura Nuttall", "laura.nuttall@port.ac.uk", "Francesco Di Renzo", "f.di-renzo@ip2i.in2p3.fr", "Siddharth Soni", "siddharth.soni@ligo.org"], "Reviewers": ["Laura Nuttall", "laura.nuttall@port.ac.uk"], "DQRResults": [{"UID": " ", "Notes": [""], "DQRFile": {"Path": "CIT:/home/dqr/public_html/o4dqr/online/events/202310/S231020bw/index.html", "MD5Sum": "f57b02392425ab83f51723ca50363132", "PublicHTML": "https://ldas-jobs.ligo.caltech.edu/~dqr/o4dqr/online/events/202310/S231020bw/index.html", "DateLastModified": "2023/10/20 12:31:07"}, "ReviewStatus": "pass", "ValidationNotes": [""], "ValidationResult": "pass"}], "RecommendedDuration": 16.0, "RecommendedDetectors": [{"UID": "H1", "Notes": ["Bayeswave got rid of the noise in LLO. But there's a lot of noise in LHO which requires some investigation. I would like to see 1) this run 2) LLO = bayeswave frame, LHO = f_low=20Hz 3) LLO = normal frame, LHO = f_low=50Hz 4) LLO = normal frame, LHO = f_low=20Hz"], "FrameType": "H1_HOFT_C00", "RecommendedChannel": "H1:GDS-CALIB_STRAIN_CLEAN", "GlitchMitigationStatus": "required", "RecommendedMinimumFrequency": 50}, {"UID": "L1", "Notes": ["Bayeswave got rid of the noise in LLO. But there's a lot of noise in LHO which requires some investigation. I would like to see 1) this run 2) LLO = bayeswave frame, LHO = f_low=20Hz 3) LLO = normal frame, LHO = f_low=50Hz 4) LLO = normal frame, LHO = f_low=20Hz"], "FrameType": "L1_HOFT_C00_BAYESWAVE_S00", "RecommendedChannel": "L1:GDS-CALIB_STRAIN_CLEAN_BAYESWAVE_S00", "GlitchMitigationStatus": "complete", "RecommendedMinimumFrequency": 20}], "ParticipatingDetectors": ["H1", "L1"]}}
Selected 7655e663
{"Info": {"Notes": []}, "Sname": "S231020bw", "GraceDB": {"Events": [{"FAR": 3.452423244201222e-10, "UID": "G447745", "XML": "https://gracedb.ligo.org/api/events/G447745/files/coinc.xml", "Pbbh": 0.9996526605007555, "Pbns": 7.902891464001242e-35, "H1SNR": 1.4108087, "HasNS": 0.0, "L1SNR": 12.478506, "Mass1": 191.81351, "Mass2": 191.81351, "Pnsbh": 7.072167673594281e-33, "State": "preferred", "Pastro": 0.9996526605007555, "Skymap": "https://gracedb.ligo.org/api/events/G447745/files/bayestar.multiorder.fits", "Spin1z": -0.092812501, "Spin2z": -0.092812501, "GPSTime": 1381860327.780446, "Pipeline": "gstlal", "HasMassGap": 0.0, "HasRemnant": 0.0, "NetworkSNR": 12.5580052290607, "SourceClassification": "https://gracedb.ligo.org/api/events/G447745/files/gstlal.p_astro.json"}], "LastUpdate": "2024-03-04 11:08:06.913759", "Instruments": "H1,L1"}, "Lensing": {"Analyses": []}, "Cosmology": {"PreferredLowLatencySkymap": "https://gracedb.ligo.org/api/events/G447745/files/bayestar.multiorder.fits"}, "TestingGR": {"Notes": [], "BHMAnalyses": [], "FTIAnalyses": [], "MDRAnalyses": [], "POLAnalyses": [], "SIMAnalyses": [], "SMAAnalyses": [], "SSBAnalyses": [], "LOSAAnalyses": [], "IMRCTAnalyses": [], "TIGERAnalyses": [], "PCATGRAnalyses": [], "PYRINGAnalyses": [], "PSEOBRDAnalyses": [], "EchoesCWBAnalyses": [], "ResidualsAnalyses": [], "ModeledEchoesAnalyses": [], "UnmodeledEchoesAnalyses": [], "QNMRationalFilterAnalyses": []}, "Publications": {"Papers": []}, "ExtremeMatter": {"Analyses": []}, "ParameterEstimation": {"Notes": [], "Status": "complete", "Results": [{"UID": "online", "Notes": ["Automatic online PE run succeeded", "Results copied from /home/pe.o4/O4a/S231020bw/online/bilby"], "RunStatus": "complete", "ConfigFile": {"Path": "CIT:/home/pe.o4/public_html/O4a/S231020bw/online/bilby/G447745_config_complete.ini", "MD5Sum": "c07ed996a54f40ec5bd24839a023824d", "DateLastModified": "2023/10/20 11:11:16"}, "Deprecated": false, "ResultFile": {"Path": "CIT:/home/pe.o4/public_html/O4a/S231020bw/online/bilby/final_result/G447745_data0_1381860327-780446_analysis_H1L1_merge_result.hdf5", "MD5Sum": "f4034530468a1b5cdb34df2ab3890e17", "DateLastModified": "2023/10/20 12:09:10"}, "Publications": [], "ReviewStatus": "pass", "PESummaryPageURL": "https://ldas-jobs.ligo.caltech.edu/~pe.o4/O4a/S231020bw/online/summary/home.html", "InferenceSoftware": "bilby", "PESummaryResultFile": {"Path": "CIT:/home/pe.o4/public_html/O4a/S231020bw/online/summary/samples/posterior_samples.h5", "MD5Sum": "a66e64e3d56b1d7a2dc53967a1582c54", "DateLastModified": "2023/11/22 08:18:06"}, "WaveformApproximant": "IMRPhenomXPHM"}, {"UID": "Exp0", "Notes": ["Generally a copy of the onlinePE configuration, but with the upper Mchirp prior bound extended from 200 to 300 Msun", "L-only analysis is fully capable of explaninig HL posterior, the H-only analysis contains literally no signal information.", "Posteriors from HL (as well as L-only analysis) consistent with the onlinePE analysis", "Due to the extended prior, the ROQ likelihood was not applicable, and the standard GravitationalWaveTransient was used", "The analysis also was done with the coherence-test active, only the HL analysis is uploaded to GraceDB"], "RunStatus": "complete", "ConfigFile": {"Path": "CIT:/home/pe.o4/public_html/O4a/S231020bw/Exp0/bilby/EXP0_config_complete.ini", "MD5Sum": "963d61fb45ed3b74fc3d30d03a38773d", "DateLastModified": "2023/10/20 13:01:41"}, "Deprecated": false, "ResultFile": {"Path": "CIT:/home/pe.o4/public_html/O4a/S231020bw/Exp0/bilby/final_result/EXP0_data0_1381860327-780446_analysis_H1L1_merge_result.hdf5", "MD5Sum": "cc13fad9fb13d67e0776c9a891449de0", "DateLastModified": "2023/10/20 15:24:11"}, "Publications": [], "ReviewStatus": "pass", "PESummaryPageURL": "https://ldas-jobs.ligo.caltech.edu/~pe.o4/O4a/S231020bw/Exp0/summary/home.html", "InferenceSoftware": "bilby", "PESummaryResultFile": {"Path": "CIT:/home/pe.o4/public_html/O4a/S231020bw/Exp0/summary/samples/posterior_samples.h5", "MD5Sum": "dd0fd6df419fb76b1933a162a35572eb", "DateLastModified": "2023/11/22 08:18:06"}, "WaveformApproximant": "IMRPhenomXPHM"}], "Analysts": ["Rachel Langgin"], "Reviewers": ["Carl-Johan Haster"], "SafeSamplingRate": 4096.0, "IllustrativeResult": "Exp0", "SafeLowerMassRatio": 0.05}, "RatesAndPopulations": {"RnPRunsUsingThisSuperevent": []}, "DetectorCharacterization": {"Notes": [""], "Status": "ongoing", "Analysts": ["Dishari Malakar", "dishari.malakar@ligo.org", "Jess McIver", "jess.mciver@ligo.org", "Laura Nuttall", "laura.nuttall@port.ac.uk", "Laura Nuttall", "laura.nuttall@port.ac.uk", "Francesco Di Renzo", "f.di-renzo@ip2i.in2p3.fr", "Siddharth Soni", "siddharth.soni@ligo.org"], "Reviewers": ["Laura Nuttall", "laura.nuttall@port.ac.uk"], "DQRResults": [{"UID": " ", "Notes": [""], "DQRFile": {"Path": "CIT:/home/dqr/public_html/o4dqr/online/events/202310/S231020bw/index.html", "MD5Sum": "f57b02392425ab83f51723ca50363132", "PublicHTML": "https://ldas-jobs.ligo.caltech.edu/~dqr/o4dqr/online/events/202310/S231020bw/index.html", "DateLastModified": "2023/10/20 12:31:07"}, "ReviewStatus": "pass", "ValidationNotes": [""], "ValidationResult": "pass"}], "RecommendedDuration": 16.0, "RecommendedDetectors": [{"UID": "H1", "Notes": ["Bayeswave got rid of the noise in LLO. But there's a lot of noise in LHO which requires some investigation. I would like to see 1) this run 2) LLO = bayeswave frame, LHO = f_low=20Hz 3) LLO = normal frame, LHO = f_low=50Hz 4) LLO = normal frame, LHO = f_low=20Hz"], "FrameType": "H1_HOFT_C00_AR", "RecommendedChannel": "H1:GDS-CALIB_STRAIN_CLEAN_AR", "GlitchMitigationStatus": "required", "RecommendedMinimumFrequency": 50}, {"UID": "L1", "Notes": ["Bayeswave got rid of the noise in LLO. But there's a lot of noise in LHO which requires some investigation. I would like to see 1) this run 2) LLO = bayeswave frame, LHO = f_low=20Hz 3) LLO = normal frame, LHO = f_low=50Hz 4) LLO = normal frame, LHO = f_low=20Hz"], "FrameType": "L1_HOFT_C00_BAYESWAVE_S00", "RecommendedChannel": "L1:GDS-CALIB_STRAIN_CLEAN_BAYESWAVE_S00", "GlitchMitigationStatus": "complete", "RecommendedMinimumFrequency": 20}], "ParticipatingDetectors": ["H1", "L1"]}}