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8th Gravitational Wave Data Analysis Workshop

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Presentation on theme: "8th Gravitational Wave Data Analysis Workshop"— Presentation transcript:

1 8th Gravitational Wave Data Analysis Workshop
Revised Inspiral Rates for Double Neutron Star Systems Chunglee Kim (Northwestern) Advanced School and Conference on Sources of Gravitational Waves, ICTP, Trieste, Italy (Sep , 2003) with Vicky Kalogera (Northwestern) & Duncan R. Lorimer (Manchester) 8th Gravitational Wave Data Analysis Workshop Milwaukee, WI (Dec. 17, 2003)

2 Why are they interesting?
 Coalescing Double Neutron Star (DNS) systems are strong candidates of GW detectors.  Before 2003 5 systems are known in our Galaxy. 2 coalescing systems in the Galactic disk. (PSR B and B ) Event rate estimation for inspiral search Galactic coalescence rate of DNSs Conference at ICTP, Trieste, Italy (Sep , 2003)  PSR J (Burgay et al. 2003) the 3rd coalescing DNS: strongly relativistic !! NEW

3 Properties of pulsars in DNSs
Ps (ms) (ss-1) Porb (hr) e Mtot ( ) Ps . M Galactic disk pulsars B x (1.39) B x (1.35) J x (1.24) Conference at ICTP, Trieste, Italy (Sep , 2003)

4 Properties of pulsars in DNSs (cont.)
c (Myr) sd (Myr) mrg (Myr) (yr-1) Galactic disk pulsars B º.23 B º.75 Lifetime=185 Myr J º.9 Conference at ICTP, Trieste, Italy (Sep , 2003) ~4 times larger than B

5 Coalescence rate R (Narayan et al.; Phinney 1991)
Lifetime of a system Number of sources x correction factor R = Correction factor : beaming correction for pulsars Lifetime of a system = current age merging time of a pulsar of a system Conference at ICTP, Trieste, Italy (Sep , 2003) Number of sources : number of pulsars in coalescing binaries in the galaxy Q: How many pulsars “similar” to the Hulse-Taylor pulsar exist in our galaxy?

6 Method - Modeling & Simulation (Kim et al. 2003, ApJ, 584, 985 )
1. Model pulsar sub-populations 2. Simulate pulsar-survey selection effects luminosity & spatial distribution functions spin & orbital periods from each observed PSR binary populate a model galaxy with Ntot PSRs (same Ps & Porb) count the number of pulsars observed (Nobs) Conference at ICTP, Trieste, Italy (Sep , 2003) Earth Nobs follows the Poisson distribution, P(Nobs; <Nobs>)

7 Method (cont.) - Statistical Analysis
3. Calculate a probability density function of coalescence rate R We consider each observed pulsar separately. Calculate the likelihood of observing just one example of each observed pulsar, P(1; <Nobs>) (e.g. Hulse-Taylor pulsar) Bayes’ theorem P(<Nobs>) P(R) P(1; <Nobs>) For an each observed system i, Pi(R) = Ci2R exp(-CiR) where Ci = calculate P(Rtot) <Nobs> τlife Ntot fb i combine all P(R)’s Conference at ICTP, Trieste, Italy (Sep , 2003)

8 most probable rate Rpeak P(Rtot)
statistical confidence levels detection rates for GW detectors  Double neutron star (DNS) systems 3 coalescing systems in the Galactic disk (PSR B , B , and J ) ground based fgw~ Hz Conference at ICTP, Trieste, Italy (Sep , 2003)

9 Results (Kalogera, Kim, Lorimer et al. 2003, ApJL submitted)
Conference at ICTP, Trieste, Italy (Sep , 2003)

10 Results  Detection rates of DNS inspirals for LIGO
Detection rate = R x number of galaxies within Vmax where Vmax= maximum detection volume of LIGO (DNS inspiral) 180 +477 -144 27 +80 -23 (Ref.) Rpeak (revised) (Myr-1) Rpeak (previous) (Myr-1) Coalescence rate R Rdet (ini. LIGO) (yr-1) Rdet (adv. LIGO) (yr-1) 0.075 +0.2 -0.06 405 +1073 -325 (Ref.) Detection rate Conference at ICTP, Trieste, Italy (Sep , 2003)

11 Summary  The Galactic coalescence of DNSs is more frequent
than previously thought! Rpeak (revised) Rpeak (previous) ~ 6-7 Rdet (adv. LIGO) = 20 – 1000 events per yr (all models) Rdet (ini. LIGO) = 1 event per 5 – 250 yrs (all models)  The most probable inspiral detection rates for LIGO ~1 event per 1.5 yr (95% CL, most optimistic) Conference at ICTP, Trieste, Italy (Sep , 2003) ~ 4000 events per yr (95% CL, most optimistic) Inspiral detection rates as high as 1 per 1.5 yr (at 95% C.L.) are possible for initial LIGO !

12 Future work  Apply the method to other classes of pulsar binaries
(e.g. NS-NS in globular clusters)  Give statistical constraints on binary evolution theory (talk by Richard O’Shaughnessy) determine a favored parameter space based on the rate calculation can be used for the calculation of coalescence rates of BH binaries (e.g.NS-BH) Conference at ICTP, Trieste, Italy (Sep , 2003)

13 Summary  Galactic coalescence rate of DNSs (Ref.) 180 27
Rpeak (revised) (Myr-1) Rpeak (previous) (Myr-1) (Ref.) 180 +477 -144 27 +32 -16 (all models) Rpeak = 10 – 500 per Myr Rpeak (revised) Rpeak (previous) ~ 6-7 The Galactic coalescence of DNSs is more frequent than previously thought! Conference at ICTP, Trieste, Italy (Sep , 2003)

14 the merger rate with parameters of PSR population models
Results: correlation between Rpeak and model parameters  Luminosity distribution power-law: f(L)  L-p, Lmin < L (Lmin: cut-off luminosity) Correlations between the merger rate with parameters of PSR population models Conference at ICTP, Trieste, Italy (Sep , 2003) give constraint to modeling of a PSR population


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