data quality in gravitational wave burst and inspiral
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Data Quality in Gravitational Wave Burst and Inspiral Searches in the 2 n d Virgo Science Run Florent Robinet For the Virgo and the LSC Collaborations The Virgo Data Quality Group Activities Online analysis pipelines Kleine Welle triggers


  1. Data Quality in Gravitational Wave Burst and Inspiral Searches in the 2 n d Virgo Science Run Florent Robinet For the Virgo and the LSC Collaborations

  2. The Virgo Data Quality Group Activities Online analysis pipelines Kleine Welle triggers Monitoring tools Commissioning inputs Scientists on shift inputs MBTA (CBC), Omega (Bursts) in auxiliary channels Coupling between auxiliary Noise/Glitch Understanding channels and the GW channel Feedback to DQ flag definition Channel selection commissioning ONLINE OFFLINE OFFLINE DQ segments production DQ segments production Veto segments production Online monitoring tools DQ flag checks Storage / Access DQ flag safety Storage / Access DQ flag performance Offline analysis pipelines Online analysis pipelines GWDAW-14 Florent Robinet 1

  3. Tools for Investigations ● Online Analysis Pipelines Omega for bursts, MBTA for CBC Trigger rate variations Follow-up of the loudest events Bad Weather Loudest events Population of glitches GWDAW-14 Florent Robinet 2-1

  4. Tools for Investigations GW Signal ● Online Analysis Pipelines Omega for bursts, MBTA for CBC Trigger rate variations Follow-up of the loudest events ● Monitoring Tools Injection channel Band-RMS COUPLING Spectrograms Omega scans > 100 auxiliary Environmental monitoring channels Magnetic sensor GWDAW-14 Florent Robinet 2-2

  5. Tools for Investigations ● Online Analysis Pipelines Omega for bursts, MBTA for CBC Trigger rate variations Follow-up of the loudest events ● Monitoring Tools Band-RMS Spectrograms Omega scans Environmental monitoring ● Commissioning People Unique knowledge of the interferometer Work on the detector on a day-by-day basis Strong interaction between the DQ group and the commissioning team GWDAW-14 Florent Robinet 2-3

  6. Tools for Investigations ● Online Analysis Pipelines Omega for bursts, MBTA for CBC Trigger rate variations Follow-up of the loudest events ● Monitoring Tools Band-RMS Spectrograms Omega scans Environmental monitoring ● Commissioning People Unique knowledge of the interferometer Work on the detector on a day-by-day basis Strong interaction between the DQ group and the commissioning team ● Scientists on Shift Shift report in the logbook Weekly glitch investigation GWDAW-14 Florent Robinet 2-4

  7. DQ Categories DQ flags have been divided into 5 categories for a better use by analyses : CAT 1 : Obvious problems on the detector. CAT1 periods have to be removed to redefine the science data. Ex. : Missing h(t) GWDAW-14 Florent Robinet 3-1

  8. DQ Categories DQ flags have been divided into 5 categories for a better use by analyses : CAT 1 : Obvious problems on the detector. CAT1 periods have to be removed to redefine the science data. Ex. : Flags defined by hand in case of a serious malfunction of the detector Usually, these kind of flags are introduced offline later, based on observations of commissioners / shifters. Thermal Compensation System failure GWDAW-14 Florent Robinet 3-2

  9. DQ Categories DQ flags have been divided into 5 categories for a better use by analyses : CAT 1 : Obvious problems on the detector. CAT1 periods have to be removed to redefine the science data. CAT 2 : Noisy periods where the coupling noise source / GW channel is well established. Triggers are removed before post-processing (coincidence, selection cuts...) Ex. : Magnetic glitches. A 50Hz glitch is seen by all the magnetometer at the same time. GW channel GWDAW-14 Florent Robinet 3-3

  10. DQ Categories DQ flags have been divided into 5 categories for a better use by analyses : CAT 1 : Obvious problems on the detector. CAT1 periods have to be removed to redefine the science data. CAT 2 : Noisy periods where the coupling noise source / GW channel is well established. Triggers are removed before post-processing (coincidence, selection cuts...) Ex. : Acoustic glitches. Airplane event detected by a microphone GW channel GWDAW-14 Florent Robinet 3-4

  11. DQ Categories DQ flags have been divided into 5 categories for a better use by analyses : CAT 1 : Obvious problems on the detector. CAT1 periods have to be removed to redefine the science data. CAT 2 : Noisy periods where the coupling noise source / GW channel is well established. Triggers are removed before post-processing (coincidence, selection cuts...) Ex. : Acoustic glitches. Helicopter flying over the site Airplane event detected by a microphone GW channel NS/NS horizon GWDAW-14 Florent Robinet 3-4

  12. DQ Categories DQ flags have been divided into 5 categories for a better use by analyses : CAT 1 : Obvious problems on the detector. CAT1 periods have to be removed to redefine the science data. CAT 2 : Noisy periods where the coupling noise source / GW channel is well established. Triggers are removed before post-processing (coincidence, selection cuts...) Ex. : Severe micro-seismic activity see I. Fiori's talk Flagging of Omega triggers GW channel GWDAW-14 Florent Robinet 3-5

  13. DQ Categories DQ flags have been divided into 5 categories for a better use by analyses : CAT 1 : Obvious problems on the detector. CAT1 periods have to be removed to redefine the science data. CAT 2 : Noisy periods where the coupling noise source / GW channel is well established. Triggers are removed before post-processing (coincidence, selection cuts...) CAT 3 : Noisy periods where the coupling is not well understood. The validity of a GW candidate flagged by a CAT3 should be controlled carefully. Ex. : seismic glitches 2 seismic glitches of the same amplitude will not have the same impact on the GW channel. CAT3 vetoes plays a big role in the follow-up studies. GW channel SNR ~ 25 Seismometer GWDAW-14 Florent Robinet 3-6

  14. DQ Categories DQ flags have been divided into 5 categories for a better use by analyses : CAT 1 : Obvious problems on the detector. CAT1 periods have to be removed to redefine the science data. CAT 2 : Noisy periods where the coupling noise source / GW channel is well established. Triggers are removed before post-processing (coincidence, selection cuts...) CAT 3 : Noisy periods where the coupling is not well understood. The validity of a GW candidate flagged by a CAT3 should be controlled carefully. Ex. : seismic glitches 2 seismic glitches of the same amplitude will not have the same impact on the GW channel. CAT3 vetoes plays a big role in the follow-up studies. GW channel Seismometer GWDAW-14 Florent Robinet 3-6

  15. DQ Categories DQ flags have been divided into 5 categories for a better use by analyses : CAT 1 : Obvious problems on the detector. CAT1 periods have to be removed to redefine the science data. CAT 2 : Noisy periods where the coupling noise source / GW channel is well established. Triggers are removed before post-processing (coincidence, selection cuts...) CAT 3 : Noisy periods where the coupling is not well understood. The validity of a GW candidate flagged by a CAT3 should be controlled carefully. Ex. : Same as CAT2 but with stricter threshold CAT2 micro-seismic flag CAT3 micro-seismic flag with a lower threshold GWDAW-14 Florent Robinet 3-7

  16. DQ Categories DQ flags have been divided into 5 categories for a better use by analyses : CAT 1 : Obvious problems on the detector. CAT1 periods have to be removed to redefine the science data. CAT 2 : Noisy periods where the coupling noise source / GW channel is well established. Triggers are removed before post-processing (coincidence, selection cuts...) CAT 3 : Noisy periods where the coupling is not well understood. The validity of a GW candidate flagged by a CAT3 should be controlled carefully. CAT 4 : Hardware injections used for sensitivity studies To be removed from the GW candidate list GWDAW-14 Florent Robinet 3-8

  17. DQ Categories DQ flags have been divided into 5 categories for a better use by analyses : CAT 1 : Obvious problems on the detector. CAT1 periods have to be removed to redefine the science data. CAT 2 : Noisy periods where the coupling noise source / GW channel is well established. Triggers are removed before post-processing (coincidence, selection cuts...) CAT 3 : Noisy periods where the coupling is not well understood. The validity of a GW candidate flagged by a CAT3 should be controlled carefully. CAT 4 : Hardware injections used for sensitivity studies To be removed from the GW candidate list CAT5 : Advisory flags to track problems on the detector but no direct impact on the GW channel Ex. : 300sec after the lock starts the detector is known to be unstable. TOTAL ~ 70 DQ flags GWDAW-14 Florent Robinet 3-9

  18. DQ Categories DQ flags have been divided into 5 categories for a better use by analyses : CAT 1 : Obvious problems on the detector. CAT1 periods have to be removed to redefine the science data. CAT 2 : Noisy periods where the coupling noise source / GW channel is well established. Triggers are removed before post-processing (coincidence, selection cuts...) CAT 3 : Noisy periods where the coupling is not well understood. The validity of a GW candidate flagged by a CAT3 should be controlled carefully. CAT 4 : Hardware injections used for sensitivity studies To be removed from the GW candidate list CAT5 : Advisory flags to track problems on the detector but no direct impact on the GW channel Ex. : 300sec after the lock starts the detector is known to be unstable. TOTAL ~ 70 DQ flags The safety of all DQ flags has been checked A flag is declared unsafe if the number of flagged hardware injections is larger than dead-time × total number of hardware injections GWDAW-14 Florent Robinet 3-10

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