Stefan Hild 1LSC/Virgo meeting, Baton Rouge, March 2007 Method for a safe statistical veto using IFO channels Stefan Hild (AEI Hannover) LSC/Virgo meeting,

Slides:



Advertisements
Similar presentations
Stefan Hild S4 Data Workshop, Hannover, May 2005 Title 1 kHz Glitches in S4 Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut)
Advertisements

Stefan Hild Ilias WG1 meeting, Hannover, April 2005 Title Hot topic: 1 kHz Glitches in S4 Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut)
For the Collaboration GWDAW 2005 Status of inspiral search in C6 and C7 Virgo data Frédérique MARION.
Stefan Hild Ilias WG1 meeting, Casina, Januar 2005 Title Scattered Light at GEO 600 Max-Planck-Institut für Gravitationsphysik (Albert-Einstein-Institut)
Initial results of burst signal injections into a GEO burst search pipeline Indentify clusters of TF pixels Frame data from IFO Calculate time- frequency.
Cascina, January 24, 2005 Status of GEO600 Joshua Smith for the GEO600 team.
GWDAW-10 (December 14, 2005, University of Texas at Brownsville, U.S.A.) Data conditioning and veto for TAMA burst analysis Masaki Ando and Koji Ishidoshiro.
GWDAW-8 (December 17-20, 2003, Milwaukee, Wisconsin, USA) Search for burst gravitational waves with TAMA data Masaki Ando Department of Physics, University.
LIGO Reduced Data Sets E7 standard reduced data set RDS generation for future runs decimation examples LIGO-G Z Isabel Leonor (w/ Robert Schofield)
LIGO- G Z AJW, Caltech, LIGO Project1 Use of detector calibration info in the burst group
Systematic effects in gravitational-wave data analysis
Katrin Dahl for the AEI 10 m Prototype team March 2010 – DPG Hannover Q29.1 Stabilising the distance of 10 m separated.
D Q 19 March. 2008LSC-Virgo meeting1 Status of Data Quality in Virgo D. Verkindt, LAPP-CNRS on behalf of the Virgo DQ team (M. Bizouard, L. Bosi, S. Chatterji,
Waveburst DSO: current state, testing on S2 hardware burst injections Sergei Klimenko Igor Yakushin LSC meeting, March 2003 LIGO-G Z.
UF S.Klimenko LIGO-G Z l Introduction l Goals of this analysis l Coherence of power monitors l Sign X-Correlation l H2-L1 x-correlation l Conclusion.
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.
S.Klimenko, G Z, December 21, 2006, GWDAW11 Coherent detection and reconstruction of burst events in S5 data S.Klimenko, University of Florida.
Virgo Commissioning update Gabriele Vajente for the Virgo Collaboration LSC/VIRGO Meeting – MIT 2007, July LIGO-G Z.
3 May 2011 VESF DA schoolD. Verkindt 1 Didier Verkindt Virgo-LAPP CNRS - Université de Savoie VESF Data Analysis School Data Quality and vetos.
Potsdam, Germany Identification and removal of glitches in GEO 600 Joshua Smith ILIAS WG
Adapting matched filtering searches for compact binary inspirals in LSC detector data. Chad Hanna – For the LIGO Scientific Collaboration.
LIGO-G Z Peter Shawhan, for the LIGO Scientific Collaboration APS Meeting April 25, 2006 Search for Gravitational Wave Bursts in Data from the.
Displacement calibration techniques for the LIGO detectors Evan Goetz (University of Michigan)‏ for the LIGO Scientific Collaboration April 2008 APS meeting.
Squeezed light and GEO600 Simon Chelkowski LSC Meeting, Hannover.
Noise Projections for GEO 600 Joshua Smith GEO Meeting
The Analysis of Binary Inspiral Signals in LIGO Data Jun-Qi Guo Sept.25, 2007 Department of Physics and Astronomy The University of Mississippi LIGO Scientific.
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)
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.
Yousuke Itoh GWDAW8 UW Milwaukee USA December 2003 A large value of the detection statistic indicates a candidate signal at the frequency and.
Searching for Gravitational Waves from Binary Inspirals with LIGO Duncan Brown University of Wisconsin-Milwaukee for the LIGO Scientific Collaboration.
HACR at Virgo: implementation and results Gabriele Vajente 12 th ILIAS WG1 meeting Geneva, March 29 th -30 th 2007.
S5 BNS Inspiral Update Duncan Brown Caltech LIGO-G Z.
1 Status of Search for Compact Binary Coalescences During LIGO’s Fifth Science Run Drew Keppel 1 for the LIGO Scientific Collaboration 1 California Institute.
Stefan Hild 111th WG1 meeting, Hannover, January 2007 DC-Readout for GEO Stefan Hild for the GEO-team.
Gabriele Vajente ILIAS WG1 meeting - Frascati Noise Analysis Tools at Virgo.
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.
Joshua Smith, Elba, Italy Elba, Italy Joshua Smith for the GEO 600 team Picture of GEO in stormy weather?? Or pics of tractors with.
Coherent network analysis technique for discriminating GW bursts from instrumental noise Patrick Sutton (CIT) in collaboration with Shourov Chatterji,
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.
Search for bursts with the Frequency Domain Adaptive Filter (FDAF ) Sabrina D’Antonio Roma II Tor Vergata Sergio Frasca, Pia Astone Roma 1 Outlines: FDAF.
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 r statistics for time-domain cross correlation on burst candidate events Laura Cadonati LIGO-MIT LSC collaboration meeting, LLO march.
S5 First Epoch BNS Inspiral Results Drew Keppel 1 representing the Inspiral Group 1 California Institute of Technology Nov LSC Meeting MIT, 4 November.
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 v1 Searching for Gravitational Waves from the Coalescence of High Mass Black Hole Binaries 2014 LIGO SURF Summer Seminar August 21 st, 2014.
LIGO- G Z 11/13/2003LIGO Scientific Collaboration 1 BlockNormal Performance Studies John McNabb & Keith Thorne, for the Penn State University.
The first AURIGA-TAMA joint analysis proposal BAGGIO Lucio ICRR, University of Tokyo A Memorandum of Understanding between the AURIGA experiment and the.
Stefan Hild 1GWADW, Elba, May 2006 Experience with Signal- Recycling in GEO 600 Stefan Hild, AEI Hannover for the GEO-team.
November, 2009 STAC - Data Analysis Report 1 Data Analysis report November, 2009 Gianluca M Guidi Università di Urbino and INFN Firenze for the Virgo Collaboration.
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.
Search for compact binary systems in LIGO data Thomas Cokelaer On behalf of the LIGO Scientific Collaboration Cardiff University, U.K. LIGO-G Z.
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.
SC03 failed results delayed FDS: parameter space searches
Igor Yakushin, LIGO Livingston Observatory
(Y. Itoh, M.A.Papa,B.Krishnan-AEI, X. Siemens –UWM
Coherent detection and reconstruction
Homodyne readout of an interferometer with Signal Recycling
WaveMon and Burst FOMs WaveMon WaveMon FOMs Summary & plans
M.-A. Bizouard, F. Cavalier
Targeted Searches using Q Pipeline
Stochastic background search using LIGO Livingston and ALLEGRO
Performance of the WaveBurst algorithm on LIGO S2 playground data
Talk prepared by Stefan Hild AEI Hannover for the GEO-team
Presentation transcript:

Stefan Hild 1LSC/Virgo meeting, Baton Rouge, March 2007 Method for a safe statistical veto using IFO channels Stefan Hild (AEI Hannover) LSC/Virgo meeting, March 2007, Det-Char-session LIGO-G Z

Stefan Hild 2LSC/Virgo meeting, Baton Rouge, March 2007 Standard statistical veto Events in H originate from GW and Noise (recorded in X) Events in H that occur at the same time as events in X are vetoed. The standard statistical veto only works for veto channels containing no traces of GW signal (seismometers, microphones, magnetic field sensors,...).

Stefan Hild 3LSC/Virgo meeting, Baton Rouge, March 2007 Limitations of the standard statistical veto As soon as X contains GW signals the application of a standard statistical veto would veto potentially real GW signals. Unfortunately many promising veto channels may contain traces of GW- signal, for example interferometer signals (light powers, control signals,...) Two populations of coincident events: Events originating from noise (we want to veto) GW-like events (we DON‘T want to veto)

Stefan Hild 4LSC/Virgo meeting, Baton Rouge, March 2007 Separate two populations by the amplitude ratio of the coincident events If event X(j) originates from the event H(i) their amplitude ratio has to correspond to: To get a safe veto method we have to com- pare the amplitude ratio of the two coincident events with the amplitude ratio a GW-signal would have: If H(i) is not vetoed If H(i) gets vetoed !

Stefan Hild 5LSC/Virgo meeting, Baton Rouge, March 2007 Real world scenario In reality we have to allow for some inaccuracies: Error in the amplitude estimation of the two events Error in back-coupling transfer function (measurement, non stationarity) Allow for overall error VETO CONDITION Two coincident events H(i) and X(j) are vetoed in the case that the amplitude ratio matches one of these requirements:

Stefan Hild 6LSC/Virgo meeting, Baton Rouge, March 2007 Dust falling through main output beam high dust concentration (broken AC) low dust concentration When dust is falling through the main output beam, coincidence glitches are induced to H and P DC. Time coincidence window = 10ms

Stefan Hild 7LSC/Virgo meeting, Baton Rouge, March 2007 P DC contains traces of GW-signal What is P DC ? It is the DC light from the main dark port photo detector. It contains traces of GW-signal. Hardware injections of sinusoidal signals show coherence of 1.

Stefan Hild 8LSC/Virgo meeting, Baton Rouge, March 2007 Application of the method (Example: ‚Dust-Veto‘) Application to two data sets of GEO S5 data: Data Set 1: Full September 2006 (low dust concentration) Data Set 2: 8 hours from May 2006 (high dust concentration) Final set of three veto conditions: Time coincidence Frequency coincidence Amplitude cut (amplitude consistency check)

Stefan Hild 9LSC/Virgo meeting, Baton Rouge, March 2007 Dust-Veto: High dust concentration period (Data set 2) GW-like hardware injections Amplitude ratio for GW-like signals Applied amplitude cut Time + frequency coincident events in H and X

Stefan Hild 10LSC/Virgo meeting, Baton Rouge, March 2007 Full veto pipeline (for GEO S5 data)

Stefan Hild 11LSC/Virgo meeting, Baton Rouge, March 2007 Application to S5 data from GEO600 gives encouraging results. Dust-Veto: Low dust concentration period (Data set 1)

Stefan Hild 12LSC/Virgo meeting, Baton Rouge, March 2007 Summary of the veto performance Data set 1: Full September 2006 Data set 2: 8 hours of May 2006 This new method is easily applicable for all other GW detectors. S. Hild et al: „A statistical veto employing an amplitude consistency check ", submitted to Class. Quantum Grav.

Stefan Hild 13LSC/Virgo meeting, Baton Rouge, March 2007 Short reciepe for statistical veto with amplitude consistency check Is there a promissing IFO channel X showing coincidence events with GW channel ? Measure many times (different timescales). Check if X contains traces of GW signal (using differential armlength actuators) Evaluate. Define amplitude cut. Non stationary no Safe to apply Standard staistical veto No veto stationary yes no No veto

Stefan Hild 14LSC/Virgo meeting, Baton Rouge, March 2007 E N D

Stefan Hild 15LSC/Virgo meeting, Baton Rouge, March 2007 Determine overall error Need to determine !! 1.Back-coupling TF was measured to vary less than +/-50% over months. 2.Maximum error in amplitude estimation of mHACR using 3 sigma gives 60% for events of SNR = 4 (sine-Gaussian injections into Gaussian noise) 3. For the real data we will allow for 200% error in amplitude estimation.