LIGO- G030594-00-Z 11/13/2003LIGO Scientific Collaboration 1 BlockNormal Performance Studies John McNabb & Keith Thorne, for the Penn State University.

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Presentation transcript:

LIGO- G Z 11/13/2003LIGO Scientific Collaboration 1 BlockNormal Performance Studies John McNabb & Keith Thorne, for the Penn State University Relativity Group

LIGO- G Z 11/13/2003LIGO Scientific Collaboration 2 Outline What is BlockNormal Event Characterization and Coincidence »Event Time »Energy Detector Sensitivity Studies »Efficiencies »Sensitivity to thresholds

LIGO- G Z 11/13/2003LIGO Scientific Collaboration 3 What is BlockNormal Thresholds: Change-Points »Where variance (   ) or mean (  ) changes »Divides data into blocks of ~ constant mean & variance Events: »Block becomes event when –variance above threshold –Mean differs from background by more than threshold »Thresholds based on characteristics (  ,    ) of stationary epochs Cluster adjacent accepted blocks Event threshold Injected signal

LIGO- G Z 11/13/2003LIGO Scientific Collaboration 4 Event Characterization Study Coincidence cut requires accuracy & precision of reconstructed event properties »BlockNormal output per IFO, frequency band: –“Characteristic time” –Energy –Duration Reconstruction accuracy & precision studied with simulated signals

LIGO- G Z 11/13/2003LIGO Scientific Collaboration 5 Event Time Reconstruction Event “when” necessary to for inter- detector coincidence »Mid-point of block with greatest variance will be independent of event amplitude Time resolution improves with amplitude ∆T < 8 samples (32 ms) for 50% of events »Clusters at very low amplitude are short- duration ∆T ~ 0 ∆T < 80 samples (320 ms) for 90% of events Why long tail? »One playground segment in H1 Lock 61 has several “odd”, long events »Under investigation; suspect need for veto

LIGO- G Z 11/13/2003LIGO Scientific Collaboration 6 Energy Reconstruction

LIGO- G Z 11/13/2003LIGO Scientific Collaboration 7 Energy Reconstruction Note different ratios »Lock 61: Three different 10m playgrounds separated by 1h46m10s »Differences owe to time dependent calibration Reconstruction: good precision, open questions on accuracy

LIGO- G Z 11/13/2003LIGO Scientific Collaboration 8 BNETG Sensitivity Study Goals Measure and characterize efficiency as function of amplitude »Amplitude at 50% efficiency? »How rapidly does efficiency climb with amplitude? »Maximum efficiency? »Residual false rate? Sensitivity of efficiency to BN thresholds »Change-point, event thresholds

LIGO- G Z 11/13/2003LIGO Scientific Collaboration 9 Sensitivity Determination Initial study lock 61 playground Hz band In-band simulated signal Fit to sigmoid with parameters for efficiency, false alarm rate

LIGO- G Z 11/13/2003LIGO Scientific Collaboration 10 Sensitivity to Change-Point Thresholds Use  A trigger for adding change-points Use  R trigger for removing change-points »Creates “dead-band” to prevent thrashing Sensitivity (E 50 ) depends weakly on  A Efficiency steepness (  ) falls with increasing  A Sensitivity nearly independent of “dead-band” width 

LIGO- G Z 11/13/2003LIGO Scientific Collaboration 11 Sensitivity to Event Thresholds Blocks become events when »(  -  0 ) 2 / 0 >  T or » / 0 > T E 50 more sensitive to T than to  A Steepness  plateaus with large T At thresholds investigated so-far most events from T »Should we balance T,  T thresholds for equal # events? Under investigation

LIGO- G Z 11/13/2003LIGO Scientific Collaboration 12 Next Steps Complete pipeline implementation »Coincidence, correlation, statistical inference Set operating parameters »Tune on coincident/correlated event performance »Characterize behavior over range of signal types Discover and understand anomalies on playground »E.g., lock 61 H1 features Run over full S2 (and available S3) data for science results