Presentation is loading. Please wait.

Presentation is loading. Please wait.

Performance of the WaveBurst algorithm on LIGO S2 playground data

Similar presentations


Presentation on theme: "Performance of the WaveBurst algorithm on LIGO S2 playground data"— Presentation transcript:

1 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 Introduction Trigger production Triple coincidence Simulation sine-Gaussian BH-BH mergers Summary S.Klimenko, December 2003, GWDAW 1

2 excess power detection method in wavelet domain
Introduction WaveBurst (see S.Klimenko’s talk for details) 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 2

3 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 (Df=const) S.Klimenko, December 2003, GWDAW 2

4 WaveBurst pipeline coincidence band 64-4096 Hz bp bp bp
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 TF1 TF2 “coincidence” band Hz selection cuts: coincidence likelihood>1.5, cluster likelihood>4 bp  selection of black pixels (10% loudest) S.Klimenko, December 2003, GWDAW 2

5 Raw Coincidence Rates off-time samples are produced during
ifo pair L1-H1 H1-H2 H2-L1 triggers 29346 22469 36956 lock,sec 94652 98517 93699 rate, Hz 0.31 0.23 0.39 double coincidence samples (S2 playground) off-time samples are produced during the production stage independent on GW samples raw triple coincidence rates triple coincidence: time window: 20 ms frequency gap: 0 Hz  ± 0.04 mHz expect reduce background down to <10 mHz using final selection cuts: r-statistics, event confidence, veto, … S.Klimenko, December 2003, GWDAW 2

6 “BH-BH merger” band off-time triple coincidence sample
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 mHz after final cuts S.Klimenko, December 2003, GWDAW 2

7 Simulation hardware injections
software injection into all three interferometers: waveform name GPS time of injection {q, j,Y}          -  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 use exactly the same pipeline for processing of GW and simulation triggers. sine-Gaussian injections 16 waveforms: 8-Q9 and 8-Q3 F+ {1,1,1} , Fx {0,0,0} BH-BH mergers ( Mo) 10 pairs of Lazarus waveforms {h+,hx} all sky uniform distribution with calculation {F+,Fx} for LLO,LHO t –duration f0-central frequency S.Klimenko, December 2003, GWDAW 2

8 hardware injections H1H2 pair
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 2

9 detection efficiency vs hrss
@235 Hz robust with respect to waveform Q fo, Hz 100 153 235 361 554 850 1034 2000 h50%, Q9 40. 20. 4.8 7.5 7.2 - 16. h50% , Q3 36. 14. 6.0 6.6 8.6 10. 17. 30. x10-21 S.Klimenko, December 2003, GWDAW 2

10 S2 playground simulation sample
timing resolution S2 playground simulation sample sT=4ms 1% loss 12% loss time window >= 20 ms  negligible loss of simulated events (< 1%) S.Klimenko, December 2003, GWDAW 2

11 Signal reconstruction
Use orthogonal wavelet (energy conserved) and calibration. reconstructed log10(hrss) mean amplitude frequency S.Klimenko, December 2003, GWDAW 2

12 BH-BH merger injections
BH-BH mergers (Flanagan, Hughes: gr-qc/ v2 1997) duration : start frequency : bandwidth: 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 2

13 Lazarus waveforms: efficiency
all sky search: hrss(50%) mass, Mo 10 20 30 40 50 60 70 80 100 hrss(50%) x 10-20 4.5 2.4 2.0 1.8 1.5 1.7 2.2 3.4 7.1 S.Klimenko, December 2003, GWDAW 2

14 Lazarus waveforms: frequency vs mass
expected BH-BH frequency band – Hz S.Klimenko, December 2003, GWDAW 2

15 Summary analysis pipeline is fully operational (production, post-production, simulation). robust detection of SG waveforms with different Q 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 background: raw triple coincidence rates full band (4kHz): ~1 mHz “BH-BH band” (<1kHz): ~0.15 mHz  after all selection cuts expect <1 mHz background rate for full S2 data set S.Klimenko, December 2003, GWDAW 2


Download ppt "Performance of the WaveBurst algorithm on LIGO S2 playground data"

Similar presentations


Ads by Google