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

Slides:



Advertisements
Similar presentations
S3/S4 BBH report Thomas Cokelaer LSC Meeting, Boston, 3-4 June 2006.
Advertisements

LIGO-G Z Status and Plans for the LIGO-TAMA Joint Data Analysis Patrick Sutton LIGO Laboratory, Caltech, for the LIGO-TAMA Joint Working Group.
GWDAW-8 (December 17-20, 2003, Milwaukee, Wisconsin, USA) Search for burst gravitational waves with TAMA data Masaki Ando Department of Physics, University.
GWDAW /12/16 - G Z1 Report on the First Search for BBH Inspiral Signals on the S2 LIGO Data Eirini Messaritaki University of Wisconsin-Milwaukee.
Burst detection efficiency  In order to interpret our observed detection rate (upper limit) we need to know our efficiency for detection by the IFO and.
Update on S5 Search for GRB and Gravitational Wave Burst Coincidence Isabel Leonor University of Oregon.
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.
G Z April 2007 APS Meeting - DAP GGR Gravitational Wave AstronomyKeith Thorne Coincidence-based LIGO GW Burst Searches and Astrophysical Interpretation.
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.
1/25 Current results and future scenarios for gravitational wave’s stochastic background G. Cella – INFN sez. Pisa.
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.
LIGO-G Z Coherent Analysis of Signals from Misaligned Interferometers M. Rakhmanov, S. Klimenko Department of Physics, University of Florida,
Multidimensional classification of burst triggers from the fifth science run of LIGO Soma Mukherjee CGWA, UTB GWDAW11, Potsdam, 12/18/06 LIGO-G
Searching for Gravitational Waves with LIGO Andrés C. Rodríguez Louisiana State University on behalf of the LIGO Scientific Collaboration SACNAS
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 Status of Stochastic Search with LIGO Vuk Mandic on behalf of LIGO Scientific Collaboration Caltech GWDAW-10, 12/15/05.
Amaldi-7 meeting, Sydney, Australia, July 8-14, 2007 LIGO-G Z All-Sky Search for Gravitational Wave Bursts during the fifth LSC Science Run Igor.
LIGO- G D Burst Search Report Stan Whitcomb LIGO Caltech LSC Meeting LIGO1 Plenary Session 18 August 2003 Hannover.
G030XXX-00-Z Excess power trigger generator Patrick Brady and Saikat Ray-Majumder University of Wisconsin-Milwaukee LIGO Scientific Collaboration.
15 Dec 2005GWDAW 10 LIGO-G Z1 Overview of LIGO Scientific Collaboration Inspiral Searches Alexander Dietz Louisiana State University for the LIGO.
S.Klimenko, December 16, 2007, GWDAW12, Boston, LIGO-G Z Coherent burst searches for gravitational waves from compact binary objects S.Klimenko,
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.
LIGO-G Z Confidence Test for Waveform Consistency of LIGO Burst Candidate Events Laura Cadonati LIGO Laboratory Massachusetts Institute of Technology.
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.
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 Status of the LIGO-TAMA Joint Bursts Search Patrick Sutton LIGO Laboratory, Caltech, for the LIGO-TAMA Joint Working Group.
LIGO-G Z Results of the LIGO-TAMA S2/DT8 Joint Bursts Search Patrick Sutton LIGO Laboratory, Caltech, for the LIGO-TAMA Joint Working Group.
LIGO- G Z AJW, Caltech, LIGO Project1 First look at Injection of Burst Waveforms prior to S1 Alan Weinstein Caltech Burst UL WG LSC meeting, 8/21/02.
LIGO-G Z r statistics for time-domain cross correlation on burst candidate events Laura Cadonati LIGO-MIT LSC collaboration meeting, LLO march.
Igor Yakushin, December 2004, GWDAW-9 LIGO-G Z Status of the untriggered burst search in S3 LIGO data Igor Yakushin (LIGO Livingston Observatory)
LSC at LHO LIGO Scientific Collaboration - University of Wisconsin - Milwaukee 1 LIGO-1 Analysis Wrap-up: Alan Wiseman University of Wisconsin.
LIGO- G Z 11/13/2003LIGO Scientific Collaboration 1 BlockNormal Performance Studies John McNabb & Keith Thorne, for the Penn State University.
LIGO-G Z Status of the LIGO-TAMA Joint Bursts Search Patrick Sutton LIGO Laboratory, Caltech, for the LIGO-TAMA Joint Working Group.
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.
Search for gravitational waves from binary inspirals in S3 and S4 LIGO data. Thomas Cokelaer on behalf of the LIGO Scientific Collaboration.
Search for compact binary systems in LIGO data Craig Robinson On behalf of the LIGO Scientific Collaboration Cardiff University, U.K. LIGO-G
Thomas Cokelaer for the LIGO Scientific Collaboration Cardiff University, U.K. APS April Meeting, Jacksonville, FL 16 April 2007, LIGO-G Z Search.
The Q Pipeline search for gravitational-wave bursts with LIGO
Igor Yakushin, LIGO Livingston Observatory
r-statistic performance in S2
Searching for Gravitational-Wave Bursts (GWBs) associated with Gamma-Ray Bursts (GRBs) during the LIGO S5 run Isabel Leonor University of Oregon (for the.
Coherent detection and reconstruction
WaveMon and Burst FOMs WaveMon WaveMon FOMs Summary & plans
WaveBurst upgrade for S3 analysis
Excess power trigger generator
Coherent Coincident Analysis of LIGO Burst Candidates
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:

S.Klimenko, December 2003, GWDAW Performance of the WaveBurst algorithm on LIGO S2 playground data S.Klimenko (UF), I.Yakushin (LLO), G.Mitselmakher (UF), M.Rakhmanov(UF) for LIGO collaboration l Introduction l Trigger production l Triple coincidence l Simulation  sine-Gaussian  BH-BH mergers l Summary

S.Klimenko, December 2003, GWDAW Introduction l WaveBurst (see S.Klimenko’s talk for details, GWDAW, December 20, 2003) excess power detection method in wavelet domain  flexible tiling of the TF-plane by using wavelet packets  variety of basis waveforms for burst approximation  local in time & frequency, low spectral leakage  use rank statistics  non-parametric  use local T-F coincidence rules for multiple IFOs  coincidence applied before triggers are produced  works better for 2 and more interferometers (but can do analysis with one interferometer as well) Symlet 58 Symlet 58 packet (4,7)

S.Klimenko, December 2003, GWDAW Wavelet time-scale(frequency) spectrogram H2:LSC-AS_Q LIGO data WaveBurst allows different tiling schemes including linear and dyadic wavelet scale resolution. currently linear scale resolution is used (  f=const)

S.Klimenko, December 2003, GWDAW WaveBurst pipeline wavelet transform, data conditioning, rank statistics channel 1 IFO1 event generation bp wavelet transform, data conditioning rank statistics channel 2,… IFO2 event generation bp “coincidence” band Hz selection cuts: coincidence likelihood L>1.5, cluster likelihood L>4 bp  selection of black pixels (10% loudest) coincidence TF1 TF2

S.Klimenko, December 2003, GWDAW Raw Coincidence Rates expect reduce background down to <10  Hz using final selection cuts: r-statistics, event confidence, veto, … ifo pairL1-H1H1-H2H2-L1 triggers lock,sec rate, Hz double coincidence samples (S2 playground) raw triple coincidence rates triple coincidence: time window: 20 ms frequency gap: 0 Hz  1.10 ± 0.04 mHz off-time samples are produced during the production stage independent on GW samples

S.Klimenko, December 2003, GWDAW “BH-BH merger” band raw triple coincidence rates off-time triple coincidence sample expect BH-BH mergers (masses >10 Mo) in frequency band < 1 kHz (BH-BH band) S2 playground background of 0.15 ± 0.02 mHz expect < 1  Hz after final cuts

S.Klimenko, December 2003, GWDAW Simulation l hardware injections l software injection into all three interferometers:  waveform name  GPS time of injection  , ,  - source location and polarization angle  T {L1,H1,H2} - LLO-LHO delays  F+{L1,H1,H2} - + polarization beam pattern vector  Fx {L1,H1,H2} - x polarization beam pattern vector l use exactly the same pipeline for processing of GW and simulation triggers. l sine-Gaussian injections  16 waveforms: 8-Q9 and 8-Q3  F+ {1,1,1}, Fx {0,0,0} l BH-BH mergers ( Mo)  10 pairs of Lazarus waveforms {h+,hx}  all sky uniform distribution with calculation {F+,Fx} for LLO,LHO  –duration f 0 -central frequency

S.Klimenko, December 2003, GWDAW hardware injections SG injections [ 100Hz, 153Hz, 235Hz, 361Hz, 554Hz, 850Hz, 1304Hz 2000Hz ] good agreement between injected and reconstructed hrss good time and frequency resolution H1H2 pair

S.Klimenko, December 2003, GWDAW detection efficiency vs hrss f o, Hz h 50%, Q h 50%, Q x Hz robust with respect to waveform Q

S.Klimenko, December 2003, GWDAW timing resolution l time window >= 20 ms  negligible loss of simulated events (< 1%) S2 playground simulation sample  T =4ms 12% loss 1% loss

S.Klimenko, December 2003, GWDAW Signal reconstruction reconstructed log10(hrss) mean amplitude frequency l Use orthogonal wavelet (energy conserved) and calibration.

S.Klimenko, December 2003, GWDAW BH-BH merger injections l BH-BH mergers (Flanagan, Hughes: gr-qc/ v2 1997) duration : start frequency : bandwidth: l Lazarus waveforms (J.Baker et al, astro-ph/ v1) (J.Baker et al, astro-ph/ v1) all sky simulation using two polarizations and L & H beam pattern functions

S.Klimenko, December 2003, GWDAW Lazarus waveforms: efficiency mass, Mo hrss(50%) x all sky search: hrss(50%)

S.Klimenko, December 2003, GWDAW Lazarus waveforms: frequency vs mass l expected BH-BH frequency band – Hz

S.Klimenko, December 2003, GWDAW Summary l analysis pipeline is fully operational (production, post- production, simulation). l robust detection of SG waveforms with different Q l pipeline sensitivity (no data conditioning yet)  (5-20) optimal detection (SG waveforms).  ~ all sky BBH merger search (Lazarus waveforms)  plan efficiency study using EOB & ABFH merger waveforms l background: raw triple coincidence rates  full band (4kHz): ~1 mHz  “BH-BH band” (<1kHz): ~0.15 mHz  after all selection cuts expect <1  Hz background rate for full S2 data set