LIGO-G060060-00-Z Detector Characterization SummaryK. Riles - University of Michigan 1 Summary of Detector Characterization Sessions Keith Riles (University.

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LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 1 Summary of Detector Characterization Sessions Keith Riles (University of Michigan) LIGO Scientific Collaboration Meeting LIGO Hanford Observatory March 19-22, 2006

LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 2 Presentations in DC Sessions Can’t do justice to all of these in this brief summary Will just try to hit the highlights Agenda page: Lots of interesting talks!

LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 3 DC Session Highlights Calibrations, Timing, and Injections: S4 calibration: final uncertainties & draft document; S5 calibration in good shape (BrianO) S5 calibration coefficients available through January 2006 (GabyG) S4 high frequency (FSR) calibration under study (RickS) S5 timing stability very good (± 3μs) – small modulations (SzabiM) S5 injections running smoothly (VukM) Data Quality: Now using full database for S5 DQ storage (many thanks to Duncan Brown) – Improved automation – many flags defined, but more needed (JohnZ)

LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 4 DC Session Highlights DMT improvements: S5 infrastructure much improved over S4 (JohnZ) PulsarMon – Crab FOM now more reliable & new FOM’s (GiovanniS) NoiseFloorMon – Non-stationarity of noise floor now trended (SomaM) BicoViewer & BicoMon improvements (SteveP) PlaneMon – Airplane monitoring refined (EvanG)

LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 5 DC Session Highlights S4/S5 Glitch investigations: Glitch Group has been wonderfully productive in finding a zoo of artifacts in S5 data and alerting commissioners Overview (LauraC) KleineWelle Studies (ErikK) Q Scan Tool (ShourovC) Loud Block-Normal Triggers & Event Display (ShantanuD) Online Inspiral Glitch Triggers – links in elog (DuncanB) AS_I Veto for S4 Inspiral Analysis – effective at SNR~25 (JakeS)

LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 6 H1-H2 coincidence analysis Correlations between the H1-H2 instruments result to coincidence events above the Poisson background Coincidence analysis and event classification has provided evidence of events accompanied (resulting?) by extreme power line glitches reflected all across the H1-H2 instruments

LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 7 H1-H2 coincidence analysis Correlations between the H1-H2 instruments result to coincidence events above the Poisson background Coincidence analysis and event classification has provided evidence of events accompanied (resulting?) by extreme power line glitches reflected all across the H1-H2 instruments

LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 8 Q Scan sees injections too… 10 M solar x 10 M solar Inspiral at 40 Mpc “Raw”High-SNR planes

LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 9 DC Session Highlights Environmental disturbances & lines: S5 spectral line catalog – many lines already mitigated (KeithT) Magnetic correlations between the Observatories (BernardW) PEM mitigation / commissioning (HVAC!) (RobertS) Flow from turbine ~50 mph

LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 10 Gravitational wave sensitivity improves when HVAC off Blue: All site turbines and chiller pad equipment off; Red: normal

LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 11 DC Session Highlights Algorithm development: GEO Event Projection for burst vetoes (P.Ajith) Spherically Invariant Random Process Data Modelling (VincenzoM)  Will be interesting to see these techniques applied to LIGO/GEO data

LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 12 Lessons from Scimon Forum Strong messages: Better training needed for novices  Will organize 1 or more camps Giving scimons “missions” would make them more effective (assignments from commissioners and/or analysis groups  mechanisms in place but not well used) Teaming up small groups for scimonning would be useful Many benefits (not just better scimonning) would come from LSC stationing of postdocs & students at observatories for extended times

LIGO-G Z Detector Characterization SummaryK. Riles - University of Michigan 13 Remarks Impressed by the quality of presentations at this meeting Impressed by the rapid feedback from S5 offline analysis studies  Special kudos to the formidable Glitch Group And to its proud-new-parent leaders: Laura + Alessandra & Erik ! Filippo Newest Glitch Group member: Filippo Di Credico Katsavounidis (starts scimon training in June…)