LIGO-G020483-00-Z 23 October 2002LIGO Laboratory NSF Review1 Searching for Gravitational Wave Bursts: An Overview Sam Finn, Erik Katsavounidis and Peter.

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Presentation transcript:

LIGO-G Z 23 October 2002LIGO Laboratory NSF Review1 Searching for Gravitational Wave Bursts: An Overview Sam Finn, Erik Katsavounidis and Peter Saulson for the “Burst Group”

LIGO-G Z 23 October 2002LIGO Laboratory NSF Review2 Goals Search for gravitational wave bursts of unknown origin »And, consequently, unknown waveform and/or spectrum Search for gravitational wave bursts associated with GRBs »Unknown waveform, spectrum (Finn et al. Phys.Rev. D60 (1999) 12110) Anticipated form of results »Bound on rate of fixed-strain events v. strength –Nominal sgnal model: fixed-strength 1 ms width Gaussian pulse “sources” distributed on sphere surrounding Earth »Bound rate of cosmic gravitational wave bursts (v. strength) –Nominal signal model:fixed strength 1 ms width Gaussian pulse distributed according to galactic model »Bound gravitational wave burst strengths coincident with gamma-ray bursts –No signal model: focus on inter-detector cross-correlation immediately preceding GRB

LIGO-G Z 23 October 2002LIGO Laboratory NSF Review3 Data processing pipeline Processing + Interpretation = Analysis Nomenclature »Diagnostic trigger: indicator for instrumental artifacts »Event trigger: indicator for gravitational wave events »IFO trigger: event triggers not vetoed »Coincident events: “simultaneous” IFO triggers Methodology »Learn on playground, execute on remainder IFO diagnostic & PEM chan’s “GW” channel LDAS Event Triggers DMT Diag Triggers Coincident Events IFO 2 IFO Trig.

LIGO-G Z 23 October 2002LIGO Laboratory NSF Review4 Burst Analysis Team Multi-institution, LSC led team effort »Tight LIGO Lab/LSC integration »Cooperation & shared responsibilities across institutions Major contributions: »Leads: PSU, Syracuse »Event trigger generation: LIGO/CIT, LLO, LSU, LIGO/MIT, PSU, UWM »Veto trigger generation: LIGO/CIT, LHO, LIGO/MIT, Oregon, Syracuse »Veto & Coincidence analysis: LHO, LIGO/MIT, Oregon, PSU »Simulations: LIGO/CIT »Interpretation: PSU, Syracuse »GEO data integration: GEO, LIGO/MIT, PSU, Syracuse

LIGO-G Z 23 October 2002LIGO Laboratory NSF Review5 Event Trigger Generation How to search for GWBs of unknown character? »Establish a meaningful statistic and look for outliers “Slope” »Evaluate “best line” through interval  (~1 ms) of data. When/while slope exceeds threshold generate a trigger. (Pradier et al. Phys.Rev. D63 (2001) 04200) “TFCluster” »Create time-frequency plane of short-time DFTs. Search for clusters of bins with excess amplitude (Sylvestre, accepted Phys. Rev. D) Two in development »“Power” –Like TFCluster, but focused on clusters of particular shape (Anderson et al., Phys.Rev. D63 (2001) ) »BlockNormal –Change-point analysis: look for changes in time of mean, variance of data as signal of GWB onset (Finn & Stuver, in progress)

LIGO-G Z 23 October 2002LIGO Laboratory NSF Review6 A sample burst search classical problem of extraction of signal in presence of noise signal morphology: unknown generate candidate event lists and characterize them noise signal apply diagnostic vetoes

LIGO-G Z 23 October 2002LIGO Laboratory NSF Review7 tails Coincidence: purpose Noise always generates false signal events »Set threshold to acceptable false rate »Trade: better false rate, worse sensitivity to real signals »Tails, non-stationarity drive threshold up for same false rate Real signal events are correlated across detectors »(almost) all false events are not Require “coincidence” between IFOs to increase sensitivity at fixed false rate

LIGO-G Z 23 October 2002LIGO Laboratory NSF Review8 Coincidence Analysis bring together event lists from other IFOs basic assumption: consistent with a plane wavefront incident on network detectors use temporal coincidence correlate extracted features of candidate bursts: »strength (power, strain, spectra) »time-frequency features (central frequency, bandwidth, duration) »cross-correlation of raw time series

LIGO-G Z 23 October 2002LIGO Laboratory NSF Review9 define temporal coincidence »limited by resolution of spectrograms and time-domain fits »intrinsic travel time between sites (LLO-LHO ~10ms) use software and hardware injections to establish cuts »Time, amplitude, other extracted features match need response functions to translate ADC counts to mirror motion and v.v. »very important »changes with time! Issues for a Coincidence Analysis <0.5seconds Injection time Injected event

LIGO-G Z 23 October 2002LIGO Laboratory NSF Review10 Issues for a Coincidence Analysis establish IFO-IFO (-IFO…) end-to- end coincidence pipeline and apply on: »simulated data (injections) to measure detection efficiencies »real data to extract coincidence if coincidences are of astrophysical origin, they vanish after random time- shifts => use this to estimate the background IFO-IFO:2(3) IFO-IFO-IFO 0(0) Number of IFO-IFO coincidences Time-shift

LIGO-G Z 23 October 2002LIGO Laboratory NSF Review11 “Nov 1” Burst Group S1 analysis Goals Search for bursts of unknown origin (using data from the 3 LIGO ifos.) »Give upper limit for bursts of fixed strength, in rate-strength plane. Search for bursts associated with gamma-ray bursts. Make first pass at burst search in GEO data. »Joint GEO/LIGO burst search, through formation of temporal coincidences.

LIGO-G Z 23 October 2002LIGO Laboratory NSF Review12 Status of “Nov 1” analysis Unknown origin burst search »Calibrated on playground data »Veto strategy designed »Full data set has been run through trigger generators Gamma-ray burst search »Cross-correlation software tested »Testing to understand statistics of cross-correlation in data GEO/LIGO analysis »Subset of GEO data analyzed with LIGO software and with GEO software »Temporal coincidences to be made this week Report writing this weekend!