WaveMon and Burst FOMs WaveMon WaveMon FOMs Summary & plans

Slides:

Advertisements

Similar presentations

AURIGA-LIGO Activity F. Salemi Italy, INFN and University of Ferrara for the LIGO-AURIGA JWG 2nd ILIAS-GW Meeting, October 24th and 25th, Palma de Mallorca,

Advertisements

LIGO-G Z Update on the Analysis of S2 Burst Hardware Injections L. Cadonati (MIT), A. Weinstein (CIT) for the Burst group Hannover LSC meeting,

GWDAW-8 (December 17-20, 2003, Milwaukee, Wisconsin, USA) Search for burst gravitational waves with TAMA data Masaki Ando Department of Physics, University.

LIGO-G Z LSC March 2004 KYF1 Veto efficiency study of triple coincidence playground WaveBurst events using WaveMon and glitchMon S2 veto triggers.

E12 Report from the Burst Group Burst Analysis Group and the Glitch Investigation Team.

S.Klimenko, February 2004, cit ligo seminar Excess power method in wavelet domain for burst searches (WaveBurst) S.Klimenko University of Florida l Introduction.

LIGO-G Z Coherent Coincident Analysis of LIGO Burst Candidates Laura Cadonati Massachusetts Institute of Technology LIGO Scientific Collaboration.

Waveburst DSO: current state, testing on S2 hardware burst injections Sergei Klimenko Igor Yakushin LSC meeting, March 2003 LIGO-G Z.

LIGO-G Z Detector characterization for LIGO burst searches Shourov K. Chatterji for the LIGO Scientific Collaboration 10 th Gravitational Wave.

June 27, 2002 EK 1 Data Analysis Overview Erik Katsavounidis LIGO-MIT PAC12 – June 27, 2002 LIGO-G Z.

Observing the Bursting Universe with LIGO: Status and Prospects Erik Katsavounidis LSC Burst Working Group 8 th GWDAW - UWM Dec 17-20, 2003.

S.Klimenko, G Z, December 21, 2006, GWDAW11 Coherent detection and reconstruction of burst events in S5 data S.Klimenko, University of Florida.

LIGO-G Z LIGO Scientific Collaboration 1 Upper Limits on the Rate of Gravitational Wave Bursts from the First LIGO Science Run Edward Daw Louisiana.

LIGO-G Z Peter Shawhan, for the LIGO Scientific Collaboration APS Meeting April 25, 2006 Search for Gravitational Wave Bursts in Data from the.

LIGO-G Z The AURIGA-LIGO Joint Burst Search L. Cadonati, G. Prodi, L. Baggio, S. Heng, W. Johnson, A. Mion, S. Poggi, A. Ortolan, F. Salemi, P.

LIGO-G M GWDAW, December LIGO Burst Search Analysis Laura Cadonati, Erik Katsavounidis LIGO-MIT.

1 Data quality and veto studies for the S4 burst search: Where do we stand? Alessandra Di Credico Syracuse University LSC Meeting, Ann Arbor (UM) June.

S.Klimenko, December 2003, GWDAW Performance of the WaveBurst algorithm on LIGO S2 playground data S.Klimenko (UF), I.Yakushin (LLO), G.Mitselmakher (UF),

LIGO-G Z April 2006 APS meeting Igor Yakushin (LLO, Caltech) Search for Gravitational Wave Bursts in LIGO’s S5 run Igor Yakushin (LLO, Caltech)

S.Klimenko, August 2005, LSC, G Z Constraint likelihood analysis with a network of GW detectors S.Klimenko University of Florida, in collaboration.

S.Klimenko, July 14, 2007, Amaldi7,Sydney, G Z Detection and reconstruction of burst signals with networks of gravitational wave detectors S.Klimenko,

LIGO- G D Burst Search Report Stan Whitcomb LIGO Caltech LSC Meeting LIGO1 Plenary Session 18 August 2003 Hannover.

Searching for Gravitational Waves from Binary Inspirals with LIGO Duncan Brown University of Wisconsin-Milwaukee for the LIGO Scientific Collaboration.

S.Klimenko, August 2003, Hannover LIGO-G Z How optimal are wavelet TF methods? S.Klimenko l Introduction l Time-Frequency analysis l Comparison.

1 Laura Cadonati, MIT For the LIGO Scientific Collaboration APS meeting Tampa, FL April 16, 2005 LIGO Hanford ObservatoryLIGO Livingston Observatory New.

LIGO-G Z The Q Pipeline search for gravitational-wave bursts with LIGO Shourov K. Chatterji for the LIGO Scientific Collaboration APS Meeting.

S.Klimenko, G Z, December 2006, GWDAW11 Coherent detection and reconstruction of burst events in S5 data S.Klimenko, University of Florida for.

S.Klimenko, G Z, December 21, 2006, GWDAW11 Coherent detection and reconstruction of burst events in S5 data S.Klimenko, University of Florida.

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

S.Klimenko, G Z, March 20, 2006, LSC meeting First results from the likelihood pipeline S.Klimenko (UF), I.Yakushin (LLO), A.Mercer (UF),G.Mitselmakher.

S.Klimenko, March 2003, LSC Burst Analysis in Wavelet Domain for multiple interferometers LIGO-G Z Sergey Klimenko University of Florida l Analysis.

LIGO-G Z GWDAW9 December 17, Search for Gravitational Wave Bursts in LIGO Science Run 2 Data John G. Zweizig LIGO / Caltech for the LIGO.

LSC Meeting, August 2002 P. Shawhan / Inspiral U.L. Working GroupLIGO-G Z Vetoes Used in the E7 Inspiral Upper Limit Analysis Part 2 Peter Shawhan,

S.Klimenko, December 2003, GWDAW Burst detection method in wavelet domain (WaveBurst) S.Klimenko, G.Mitselmakher University of Florida l Wavelets l Time-Frequency.

LIGO-G All-Sky Burst Search in the First Year of the LSC S5 Run Laura Cadonati, UMass Amherst For the LIGO Scientific Collaboration GWDAW Meeting,

Results From the Low Threshold, Early S5, All-Sky Burst Search Laura Cadonati for the Burst Group LSC MIT November 5, 2006 G Z.

Peter Shawhan The University of Maryland & The LIGO Scientific Collaboration Penn State CGWP Seminar March 27, 2007 LIGO-G Z Reaching for Gravitational.

LIGO-G Z TFClusters Tuning for the LIGO-TAMA Search Patrick Sutton LIGO-Caltech.

S.Klimenko, LSC, Marcht 2005, G Z BurstMon diagnostic of detector noise during S4 run S.Klimenko University of Florida l burstMon FOMs l S4 run.

LIGO-G E S2 Data Quality Investigation John Zweizig Caltech/LIGO.

LIGO-G D S2 Glitch Investigation Report Laura Cadonati (MIT) on behalf of the Glitch Investigation Team LSC meeting, August 2003, Hannover.

Igor Yakushin, December 2004, GWDAW-9 LIGO-G Z Status of the untriggered burst search in S3 LIGO data Igor Yakushin (LIGO Livingston Observatory)

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

LIGO-G Z Peter Shawhan, for the LSC Burst Analysis Group LSC Observational Results Meeting November 4, 2006 The S4 LIGO All-Sky Burst Search.

LIGO-G D Glitch Investigation Update Laura Cadonati for the Glitch Investigation Group LSC meeting, Hanford November 12, 2003.

LIGO-G Z Peter Shawhan for the LSC-Virgo Burst Analysis Working Group LSC-Virgo Meeting July 23, 2007 Eyes Wide Open: Searching for Gravitational.

LIGO-G Z The Q Pipeline search for gravitational-wave bursts with LIGO Shourov K. Chatterji for the LIGO Scientific Collaboration APS Meeting.

LIGO-G05????-00-Z Detector characterization for LIGO burst searches Shourov K. Chatterji For the LIGO Scientific Collaboration 10 th Gravitational Wave.

Data Analysis report November, 2009 Gianluca M Guidi

Inspiral Glitch Veto Studies

S3 Spinning Binary Black Hole Search: Status Report

All-Sky Burst Searches for Gravitational Waves at High Frequencies

The Q Pipeline search for gravitational-wave bursts with LIGO

Igor Yakushin, LIGO Livingston Observatory

r-statistic performance in S2

S3 Glitch Updates Laura Cadonati

Coherent detection and reconstruction

Targeted Searches using Q Pipeline

S2/S3 Glitch Investigation Update

WaveBurst upgrade for S3 analysis

Line tracking methods used in LineMon

First look at Injection of Burst Waveforms prior to S1

Coherent Coincident Analysis of LIGO Burst Candidates

Burst Figure of Merit Julien Sylvestre LSC Meeting, March 2004

Analysis of L1 WaveMon S2 veto triggers

John Zweizig LIGO/Caltech

Status and Plans for the LIGO-TAMA Joint Data Analysis

with coherent WaveBurst pipeline

Performance of the WaveBurst algorithm on LIGO S2 playground data

Presentation transcript:

WaveMon and Burst FOMs WaveMon WaveMon FOMs Summary & plans Sergey Klimenko University of Florida WaveMon WaveMon FOMs Summary & plans S.Klimenko, LSC, August 2002, G040173-00-Z 1

WaveMon 10% bp DMT tool to monitor glitches Wavelet domain: complete time-frequency cluster analysis Same algorithms as for WaveBurst Fast: can monitor up to 60 channels in the frequency band up to 4 kHz. wavelet transform, data conditioning, rank statistics master channel data conditioning slave channel,… slave event generation bp “coincidence” 10% detect glitches in slave channels coincident with master channel, which could be AS_Q channel  inter-channel correlations Slave triggers can be used as an efficient veto in the burst analysis (see Ken’s and Laura’s talks) S.Klimenko, LSC, August 2002, G040173-00-Z 2

S3 rates for L1:LSC-MICH_CTRL random coincidence rate at 30 sec time lag rate at 0 sec time lag “permanent problem” good FOM ? – not really however, tells us that MICH_CTRL is efficient veto channel. S.Klimenko, LSC, August 2002, G040173-00-Z 2

S3 rates for L1:LSC-REFL_I (FOM1) random coincidence rate at 30 sec time lag rate at 0 sec time lag good FOM ? – yes! S.Klimenko, LSC, August 2002, G040173-00-Z 2

S3 rates for L1:LSC-REFL_Q random coincidence rate at 30 sec time lag rate at 0 sec time lag S.Klimenko, LSC, August 2002, G040173-00-Z 2

display the performance of LIGO detectors burst FOMs Purpose display the performance of LIGO detectors to identify (new) problems during data taking runs Sensitivity: range or strain (preferably for astro-motivated sources) glitch rates noise outliers (non-stationarity & non-Gaussianity) latency Short (few minutes) to be useful in control room Long (hours-days) - could be useful for analysis. WaveMon can produce short latency FOMs – 1 min S.Klimenko, LSC, August 2002, G040173-00-Z 2

Sensitivity FOM (2) glitches strain(t) (or range(t)) @ 50% detection efficiency for few selected waveforms (ad hoc & astro-motivated) BH-BH mergers (10, 50, 80 Mo) Gaussians (broadband) run-time simulation do injections with various strains run WM to find injections calculate strain at 50% detection efficiency report strain(t) at 1/minute rate latency – 1 min time, min strain BH50 glitches S.Klimenko, LSC, August 2002, G040173-00-Z 2

BH-BH merger waveforms Lazarus (J.Baker et al, astro-ph/0202469v1) Effective one body (Damour, Iyer, Sathyaprakash) Lazarus 0 200 400 600 800 Hz 30 Mo e=3% 10 ms S.Klimenko, LSC, August 2002, G040173-00-Z 2

BH-BH range e=3% S2 noise average over all sky very preliminary e=3% S.Klimenko, LSC, August 2002, G040173-00-Z 2

Noise outliers (FOM3) H1 L1 Compare Gaussian and non-parametric statistics H1 L1 S.Klimenko, LSC, August 2002, G040173-00-Z 2

Summary & Plans WaveMon Can help identify source of glitches in the GW channel by looking at correlation with auxiliary channels Produce veto triggers and rate trends Can produce meaningful FOM for astro-motivated waveforms  detectable burst strength(t) Plans incorporate real-time calibration for AS_Q channel implement simulation engine  strength(t) FOM get ready for S4 S.Klimenko, LSC, August 2002, G040173-00-Z 2

Single channel WaveMon wavelet transform, data conditioning, rank statistics channel 1 data conditioning channel 2,… channel 1 event generation channel 2 event bp 1% Simple reconfiguring of the “double channel WM” Preserves all WaveMon functionality higher threshold (bpp ~ 1%) can be used to produce strain/range FOM for single IFO S.Klimenko, LSC, August 2002, G040173-00-Z 2