S.Klimenko, LSC, August 2004, G040393-00-Z BurstMon S.Klimenko, A.Sazonov University of Florida l motivation & documentation l description & results l.

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Presentation transcript:

S.Klimenko, LSC, August 2004, G Z BurstMon S.Klimenko, A.Sazonov University of Florida l motivation & documentation l description & results l noise stationarity for S2&S3 l summary & plans

S.Klimenko, LSC, August 2004, G Z motivation l display performance of LIGO detectors to identify (new) problems during data taking runs (maintain high data_for_analysis/data_on_tape ratio) l give a reference point for burst searches in terms of sensitivity and rate l express detector performance in few burst FOMs  detector sensitivity: range or strain (preferably for astro-motivated burst sources)  noise non-stationarity & non-Gaussianity l latency  Short (few minutes) to be useful in control room

S.Klimenko, LSC, August 2004, G Z BurstMon l DMT monitor: Measures hrss amplitude of injections at 50% of detection efficiency and produce burst FOMs. l Method: The BurstMon performs real time injection of simulated bursts and detect them using burst analysis in wavelet domain. l Input: single detector AS_Q channel & injection waveforms l Output: dmtviewer & trends (min, sec)  detector sensitivity, 50%  noise variability (non-stationarity)  rates (complimentary to glitchMon) l reference: l LIGO Note: BurstMon, T Z

S.Klimenko, LSC, August 2004, G Z BurstMon layout wavelet transform, data conditioning AS_Q channel calibration, wavelet transform, data conditioning, injection waveforms injections/point

S.Klimenko, LSC, August 2004, G Z Test with stationary white noise l un-calibrated hrss for SG235 Hz injection:  estimated from average noise (like SensMon)  estimated with injections

S.Klimenko, LSC, August 2004, G Z S3 H1 data l un-calibrated hrss for SG235 Hz injection:  estimated from average noise  estimated with injections

S.Klimenko, LSC, August 2004, G Z Comparison with Inspiral FOM S3 data, H1

S.Klimenko, LSC, August 2004, G Z BH-BH range l S2 noise, Lazarus waveforms l average over all sky l Gives a detail picture of the detector performance in frequency band below 1.5 kHz  =3% example

S.Klimenko, LSC, August 2004, G Z dmtviewer plots H1 almost real-time

S.Klimenko, LSC, August 2004, G Z Trends H1 S3

S.Klimenko, LSC, August 2004, G Z S2 noise non-stationarity l L time resolution 1/16 sec

S.Klimenko, LSC, August 2004, G Z S2 noise non-stationarity l H1

S.Klimenko, LSC, August 2004, G Z S2 noise non-stationarity l H2 variability correction window

S.Klimenko, LSC, August 2004, G Z Noise Gaussianity l red – normalized noise l blue – Gaussian fit l black – corrected with 1 sec window

S.Klimenko, LSC, August 2004, G Z S2 noise variability PSD l L1 l H1 l H2 black – before correction red – after correction

S.Klimenko, LSC, August 2004, G Z S3 noise non-stationarity l L1 l H1 l H

S.Klimenko, LSC, August 2004, G Z S3 noise after correction l L1 l H1 l H2

S.Klimenko, LSC, August 2004, G Z Conclusion & Plans l BurstMon is a single interferometer burst detection engine implemented as a DMT monitor. l It has real-time simulation pipeline for estimation of the detection efficiency for injected waveforms. l Several FOMs are produced:  50% detection efficiency (for each type of waveforms)  noise variability, rates,...  suggestions are welcome l Plans  finalize implementation issues  include real-time calibration as soon as available  some minor optimization (almost in real time)  commissioning - run on regular basis  get ready for the next engineering run