gamma ray burst triggered searches in the s2, s3, s4 runs of ligo soumya d. mohanty on behalf of the...
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Gamma ray burst triggered searches in the S2, S3, S4 runs
of LIGOSoumya D. Mohanty
On behalf of the LIGO Science Collaboration
Relevant astrophysics
• Central engine: GRBs come in two classes– Long soft (LSB): Stellar core collapse to Black Holes
• or magnetars for anomalously long and soft bursts, e.g., 060218, 1998bw (980425)
– Short hard (SHB): NS-NS, NS-BH, BH-WD mergers following GW driven inspiral
• Distance scales: – LSB should follow massive Star formation rate pdf
of observed redshifts peaks at z > 1– SHB pdf should peak at closer redshifts ( 0.5)
Detection Rate/upper limits
• Analysis pipelines developed for both direct coincidence and population signature searches
• Direct detection– LSB: about 1/yr for adv. LIGO (kobayashi, Meszaros, 2003)– SHB: ? (papers by Kalogera et al)– Very low redshift X-ray Flashes (D 100 Mpc): once in 3 to 5
years
• Upper limits on EGW
– 030329 (XRF) and S2: 340 M๏c2 ; sub-solar possible with initial LIGO (980425 was at 35 Mpc)
– GRB population average (Finn, Mohanty, Romano, 1999): sub-solar on LSBs possible with adv. LIGO
GRBs during S2, S3, S4 runs
• 39 GRBs (with 2 SHBs): – HETE-2, INTEGRAL, Swift triggers obtained
via GCN notices– 22 GRBs were well localized on the sky
• 35 GRBs had the two Hanford detectors in lock
• More …
Cross-correlation based search
• Cc statistic– Definition of cc– Max. over cc (max. over abs(cc) for LHO and
LLO)
• Parameters of the search– Integration length 100 ms– Search length 180 sec (-60 to +20 sec )
Significance
Binomial test
Upper limits
Search for population signature
• Max. Likelihood ratio detection statistic– Prior information about
redshifts, directions and astrophysics not taken into account yet
– Sum-max statistic
• Non-parametric version (rank-sum test) significance: 0.64 – Cannot reject null
hypothesis (no GWs associated with the S2, S3, S4 GRB sample)
Constraints on population properties
• Joint pdf of population parameters determines the distribution of the sum-max statistic– Population parameters:
redshift, EGW, inclination (beaming)
– Frequentist confidence belt
• S2,S3,S4: only H1,H2 cross-correlation used– Single source parameter:
observed matched filtering snr
TO BE REPLACED BY RECENTLY CHANGED CF BELTS
Population model
• Standard candle model
• Redshift distribution prediction from Bromm, Loeb, 2002– Zpeak = 1.8 (for Swift)
• 90% confidence level upper limit on EGW is 2.4104 M๏c2
2/3
1
1
)(
peak
peakpeak z
z
zD
D
LIGO/GEO S5 run
• Isabel to fill in
Summary
• Search for GWs associated with GRBs conducted over S2, S3, S4 data; upper limits obtained (individual/population)
• Analysis pipelines in place• Better understanding of how to combine multiple
triggers: exploring parametric/non-parametric approaches
• S5 results for population upper limits may be 10 to 20 times better
• Many possibilities for enhancing sensitivity: shorter search lengths, coherent network analysis,…