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Revised Inspiral Rates for Double Neutron Star Systems Chunglee Kim (Northwestern). with Vicky Kalogera (Northwestern) & Duncan R. Lorimer (Manchester) 8 th Gravitational Wave Data Analysis Workshop Milwaukee, WI (Dec. 17, 2003). PSR J0737-3039 (Burgay et al. 2003) - PowerPoint PPT Presentation
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Revised Inspiral Rates for Double NeutroRevised Inspiral Rates for Double Neutron Star Systemsn Star Systems
Chunglee Kim (Northwestern)Chunglee Kim (Northwestern)
with with Vicky Kalogera (Northwestern) & Duncan R. Lorimer Vicky Kalogera (Northwestern) & Duncan R. Lorimer
(Manchester)(Manchester)
8th Gravitational Wave Data Analysis Workshop Milwaukee, WI (Dec. 17, 2003)
Why are they interesting?Why are they interesting?
Coalescing Double Neutron Star (DNS) systems areCoalescing Double Neutron Star (DNS) systems are
strong candidates of GW detectors.strong candidates of GW detectors.
Before 2003Before 2003
5 systems are known in our Galaxy.5 systems are known in our Galaxy. 22 coalescing systems in the Galactic disk.coalescing systems in the Galactic disk. ((PSR B1913+16PSR B1913+16 and and B1534+12B1534+12))
PSR J0737-3039 (Burgay et al. 2003) the 3rd coalescing DNS: strongly relativistic !!
NEWNEW
Galactic coalescence Galactic coalescence rate of DNSsrate of DNSs
Event rate estimation Event rate estimation for inspiral searchfor inspiral search
Properties of pulsars in DNSs Properties of pulsars in DNSs
B1913+16 59.03 8.6x10-18 7.8 0.61 2.8 (1.39)
B1534+12 37.90 2.4x10 -18 10.0 0.27 2.7 (1.35)
Galactic disk pulsars
Ps (ms) (ss-1) Porb (hr) e Mtot ( ) Ps
.
M
J0737-3039 22.70 2.4x10 -18 2.4 0.087 2.6 (1.24)
Properties of pulsars in DNSs (cont.)Properties of pulsars in DNSs (cont.)
B1913+16 110 65 300 4º.23
B1534+12 250 190 2700 1º.75
Galactic disk pulsars
c (Myr) sd (Myr) mrg (Myr) (yr-1) ·
J0737-3039 160 100 85 16º.9
Lifetime=185 Myr
~4 times larger than B1913+16
Coalescence rate Coalescence rate RR (Narayan et al.; Phinney 1991)
Lifetime of a system = current age + merging time Lifetime of a system = current age + merging time of a pulsar of a systemof a pulsar of a system
Correction factor : beaming correction for pulsarsCorrection factor : beaming correction for pulsars
Number of sources : number of pulsars in coalescing Number of sources : number of pulsars in coalescing binaries in the galaxybinaries in the galaxy
Lifetime of a systemLifetime of a systemNumber of sourcesNumber of sources
x correction factorx correction factorR =R =
Q: How many pulsars “similar” to the Hulse-Taylor pulsar exist in our galaxy?
Method - Method - Modeling & Simulation Modeling & Simulation (Kim et al. 2003, ApJ, 584, 985 )
1. Model pulsar sub-populations1. Model pulsar sub-populations
2. Simulate pulsar-survey selection effects2. Simulate pulsar-survey selection effects
count the number of pulsars observed (Nobs)
EarthEarth
luminosity & spatial distribution functionsluminosity & spatial distribution functions spin & orbital periods from each observed PSR binaryspin & orbital periods from each observed PSR binary
populate a model galaxy with Ntot PSRs (same Ps & Porb)
Nobs follows the Poisson distribution,P(Nobs; <Nobs>)
Method (cont.) -Method (cont.) - Statistical AnalysisStatistical Analysis
3. Calculate a probability density function of coalescence rate R
P(R)
We consider each observed pulsar separately.
Calculate the likelihood of observing just one exampleof each observed pulsar, P(1; <Nobs>) (e.g. Hulse-Taylor pulsar)
For an each observed system For an each observed system ii,,
PPii(R) = (R) = CCii22R exp(-CR exp(-CiiR)R)
where Cwhere Cii = =
calculate calculate P(RP(Rtottot))
<N<Nobsobs> > ττ lifelife
NNtot tot ffbb ii
combine combine all all P(R)P(R)’s’s
P(1; <NP(1; <Nobsobs>)>) Bayes’ theorem
P(<NP(<Nobsobs>)>)
P(RP(Rtottot))most probable rate Rmost probable rate Rpeakpeak
statistical confidence levelsstatistical confidence levels
detection rates for GW detectorsdetection rates for GW detectors
Double neutron star (DNS) systemsDouble neutron star (DNS) systems
33 coalescing systems in the Galactic diskcoalescing systems in the Galactic disk
((PSRPSR B1913+16B1913+16, , B1534+12B1534+12, and , and J0737-3039J0737-3039))
ground based
fgw~10-1000 Hz
Results Results (Kalogera, Kim, Lorimer et al. 2003, ApJL submitted)
ResultsResults
Detection rates of DNS inspirals for LIGODetection rates of DNS inspirals for LIGO
Detection rate = R x number of galaxies within Vmax
180180 +477+477-144-144 2727 +80+80
-23-23(Ref.)(Ref.)
RRpeakpeak (revised) (revised) (Myr(Myr-1-1) R) Rpeakpeak (previous) (Myr (previous) (Myr-1-1)) Coalescence Coalescence rate rate RR
RRdetdet (ini. LIGO) (yr (ini. LIGO) (yr-1-1) R) Rdetdet (adv. LIGO) (yr (adv. LIGO) (yr-1-1))
0.0750.075+0.2+0.2
-0.06-0.06 405405 +1073+1073
-325-325(Ref.)(Ref.)
Detection Detection raterate
where Vmax= maximum detection volume of LIGO (DNS inspiral)
SummarySummary
RRpeak peak (revised)(revised) RRpeak peak (previous)(previous)
~~ 6-7 6-7
The Galactic coalescence of DNSs is more frequent The Galactic coalescence of DNSs is more frequent than previously thought!than previously thought!
RRdetdet (adv. LIGO) (adv. LIGO) = 20 – 1000 events per yr (all models)= 20 – 1000 events per yr (all models)
RRdetdet (ini. LIGO) (ini. LIGO) = 1 event per 5 – 250 yrs (all models)= 1 event per 5 – 250 yrs (all models)
The most probable inspiral detection rates for LIGOThe most probable inspiral detection rates for LIGO
~1 event per 1.5 yr ~1 event per 1.5 yr (95% CL, most optimistic) (95% CL, most optimistic)
~ 4000 events per yr ~ 4000 events per yr (95% CL, most optimistic)(95% CL, most optimistic)
Inspiral detection rates as high as 1 per 1.5 yr (at 95% C.L.) are possible for initial LIGO !
Future workFuture work
Apply the method to other classes of pulsar binariesApply the method to other classes of pulsar binaries (e.g. (e.g. NS-NS in globular clustersNS-NS in globular clusters))
Give statistical constraints on binary evolution theoryGive 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)
SummarySummary
Galactic coalescence rate of DNSsGalactic coalescence rate of DNSs
RRpeakpeak (revised) (revised) (Myr(Myr-1-1) R) Rpeakpeak (previous) (Myr (previous) (Myr-1-1) )
(all models) (all models) RRpeak peak = 10 – 500 per Myr= 10 – 500 per Myr
RRpeak peak (revised)(revised) RRpeak peak (previous)(previous)
~~ 6-7 6-7The Galactic coalescence of The Galactic coalescence of DNSs is more frequent thanDNSs is more frequent thanpreviously thought!previously thought!
180180 +477+477-144-144 2727 +32+32
-16-16(Ref.)(Ref.)
Results: Results: correlation between Rcorrelation between Rpeakpeak and model parameters and model parameters
Luminosity distributionLuminosity distribution
power-law: power-law: f(L) f(L) L L-p-p, L, Lminmin < L < L (L (Lminmin: cut-off luminosity): cut-off luminosity)
give constraint give constraint to modeling of a to modeling of a PSR populationPSR population
Correlations between Correlations between the merger rate with the merger rate with parameters of PSR parameters of PSR population modelspopulation models