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S5 Data Quality

This data overview provides information on the quality and distribution of data collected during the specified time period at LIGO/Caltech. It includes details on different science modes, data segments, instrumental glitches, running states, environmental effects, and flagging criteria.

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S5 Data Quality

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  1. S5 Data Quality John Zweizig LIGO/Caltech Hanover, October 25, 2007

  2. Data Overview • Running time: GPS 815155200 – 875232000 (60076800s, 695d)‏ • Single IFO science mode: • H1: 46670444s, 540d, 77.8% • H2: 47001597s, 544d, 78.2% • L1: 39463778s, 457d, 65.7% • Double coincidence science mode • H1 · H2: 42856054s, 496d, 71.3% • H1 · L1: 34234457s, 396d, 57.0% • H2 · L1: 33664680s, 390d, 56.0% • Triple coincidence science mode • H1 · H2 · L1: 31737338s, 367d, 52.8%

  3. Range Distribution

  4. Range by Calendar Week

  5. Data Quality Segments • Not all data created equal - So... • DQ segments • Generated online / off-line • More will be defined as detector characterization work continues • No implied recommendation • Chosen segment appropriate for an analysis! • Check safety • More information available from: http://gallatin.physics.lsa.umich.edu/~keithr/S5DQ/flaginfo.html

  6. Segment Database • Segment DBs at CIT, LHO, LLO • local insertion • Automatic synchronization between databses • Segment information • start-time, end-time • Active (asserted/not asserted)‏ • provenance • version (v99 is combination of all active versions)‏ • Insertion, interrogation tools: • LSCdataFind • Segwizard

  7. Category 1: No Data / Bad Data • As close to a no-brainer as it comes: • IFO not in lock (or in triggered mode)‏ • No raw data • Data not read out correctly • Most eliminated from Run Statistics on Slide 1

  8. Instrumental Glitches • Digital-loop overflows • SEVERE_LSC_OVERFLOW • ASI_CORR_OVERFLOW • Other direct glitches • TCS Glitch • Calibration line glitches • OSEM. optical lever glitches (damping servo)‏

  9. IFO Running States PRE_LOCKLOSS_nn H[12]_Not_Locked H[12]_LOCKLOSS H[12]_LOCKGAIN IFO related LIGHTDIP_nn_PERCENT SIDECOIL_ETM[XY][_RMS_6HZ] CONLOG_SICK CALIBRATION_BAD BAD_SENSING BAD_SERVO Other Segments • Wind: • Wind_Over_30MPH • HURRICANE_GLITCHINESS • Seismic • TRAIN_LIKELY • DEWAR_GLITCH • EARTHQUAKE_GLITCHINESS • Electricity and Magnetism • POWERMAINS_DISRUPTION • POWERMAIN_GLITCH • POWMAG • SEIS_DARMERR_5_7HZ

  10. Photo-diode Consistency • 4 AS photo-diodes: redundant measure of AS port signal • Demodulated and recorded at 256Hz • Inconsistency can indicate • Dust in light path • Single PD readout error

  11. PD Consistency Test • Chi²: • Calculated at each sample. • χ²=Σ(αiPDi – ¼ΣPDj)² • Averaged over 4s stride • χ²max is largest <χ²> in 1 minute

  12. Environmental Effects • H1 periodic (~6Hz) glitches • Assumed mechanism: • Several seismic-stack resonances near 6Hz • Pendulum “damping” worsens sideways motion • Tagging techniques • ETM[XY] side coil read-back • ETM[XY] side overflows • DARM_ERR 4-7 Hz Band • ETM[XY] side sensor 6Hz RMS

  13. ETMX 6Hz RMS Flagging • H1 DARM_ERR glitch significance plotted vs. log RMS in ETMY 5.8-6.2Hz Band • RMS read from minute trends – 1 minute granularity • Clear population of glitches at very high significance (~104)‏ • Significance doesn't increase with increasing RMS! Possibly overflow effect. • ETMY_RMS_6HZ flag from this • Should be reanalyzed with better granularity.

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