Alicia M. Sintes On behalf of the LIGO Scientific Collaboration LIGO-G030185-00-Z Results from the LSC Periodic Sources Working Group Recontres de Moriond.

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Alicia M. Sintes On behalf of the LIGO Scientific Collaboration LIGO-G Z Results from the LSC Periodic Sources Working Group Recontres de Moriond Gravitational Waves and Experimental Gravity Les Arcs 1800, France March 2003

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group Periodic Sources Working Group B.Allen, S.Anderson, S.Berukoff, P.Brady, D.Chin, R.Coldwell, T.Creighton, C.Cutler, R.Drever, R.Dupuis, S.Finn, D.Gustafson, J.Hough, Y.Itoh, B Krishnan, M.Landry, G.Mendell, C.Messenger, S.Mohanty, S.Mukherjee, M.A.Papa, B.Owen, K.Riles, B.Schutz, X.Siemens, A.M.Sintes, A.Vecchio, H.Ward, A.Wiseman, G.Woan, M.Zucker The group is working on methods to search for continuous gravitational waves from rotating neutron stars: We have exercised different analysis pipelines, established methods for setting upper limits on the strain amplitude of continuous gravitational waves from known pulsars, analyzed data collected during the first science run (S1) of GEO and LIGO, set upper limits on waves emitted by pulsar J

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group Content GEO600 and LIGO first science run (S1) Two complementary analysis approaches: –time domain method –frequency domain method Future plans

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group In-Lock Data Summary from LIGO S1 In-Lock Data Summary from LIGO S1 Red lines: integrated up time Green bands (w/ black borders): epochs of lock H1: 235 hrsH2: 298 hrsL1: 170 hrs August 23 – September 9, 2002: 408 hrs (17 days). H1 (4km): duty cycle 57.6% ; Total Locked time: 235 hrsH1 H2 (2km): duty cycle 73.1% ; Total Locked time: 298 hrsH2 L1 (4km): duty cycle 41.7% ; Total Locked time: 170 hrsL1 Double coincidences: L1 && H1 : duty cycle 28.4%; Total coincident time: 116 hrsL1H1 L1 && H2 : duty cycle 32.1%; Total coincident time: 131 hrsL1H2 H1 && H2 : duty cycle 46.1%; Total coincident time: 188 hrsH1H2 Triple Coincidence: L1, H1, and H2 : duty cycle 23.4% ; 95.7 hrsL1H1H2

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group In-Lock Data Summary from GEO S1 First lock lasted over ~5 days Total Locked time: 396 hrs Duty cycle: 98.5% Including maintenance periods: 453 hrs

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group -- GEO -- LHO 2km -- LHO 4km -- LLO 4km Crab pulsar hchc S1 sensitivities PSR J P = s f GW = Hz P = s/s D = 3.6 kpc. h c : Amplitude detectable with 99% confidence during observation time T: h c = 4.2 [S h (f)/T] 1/2 Limit of detectability for rotating NS with equatorial ellipticity,  =  I/I zz : 10 -3, 10 -4, kpc Known EM pulsars Values of h c derived from measured spin-down  IF spin-down were entirely attributable to GW emissions  Rigorous astrophysical upper limit from energy conservation arguments Limits on gravitational waves radiated by periodic sources

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group The signal – a reminder We use the standard model for the detected strain signal from a non- precessing neutron star: The GW signal from a pulsar will be frequency modulated by the motion and rotation of the Earth, and amplitude modulated due to the varying sensitivity of the detector with respect to a fixed source. Accurate timing routines (~2  s) have been developed to convert between GPS and SSB time. Maximum phase mismatch ~10 -2 radians for a few months. Two signal generation codes.

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group Two different analysis methods Time domain search – process signal to remove frequency variations due to Earth’s motion around Sun Best suited for targeted searches Efficiently handless missing data Adaptable to complicated phase evolutions Upper limits interpretation straightforward: Bayesian approach Frequency domain search – conceived as a module in a hierarchical search Efficient method for wide parameter searches -when signal characteristics are uncertain Straightforward implementation of standard matched filtering technique (maximum likelihood detection method): –Cross-correlation of the signal with the template and inverse weights with the noise Frequentist approach used to cast upper limits.

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group Time domain target search Data are successively heterodyned to reduce the sample rate and take account of pulsar slowdown and Doppler shift, reducing the data rate to 1 sample per minute B k Noise level is estimated from the variance of the data over each minute  k Fit a model to this signal model. We take a Bayesian approach, and determine the joint posterior distribution of the probability of our unknown parameters, using uniform priors on over their accessible values, i.e. posterior prior likelihood The likelihood is proportional to exp(-  2 /2), where Marginalize over the uninteresting parameters to leave the posterior distribution for the probability of h 0 :

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group Upper limit definition & detection The 95% confidence upper limit is set by the value h 95 satisfying A detection would appear as a maximum significantly offset from zero h 95 h95h95 Most probable h 0

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group Time domain S1 analysis We looked for the expected signal from PSR J at f= Hz, with the entire accessible datasets from LHO 2km, LHO 4km, LLO 4km, and GEO. Set upper limits from all four interferometers and a joint upper limit. Analysis can easily be expanded to other pulsars. PSR is our ‘generic pulsar’.

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group Time series for the GEO S1 data (~20 days). Black line is the heterodyned data, the red dots our estimate of the corresponding noise level. Ratio of |data| / |noise| over the same period. The distribution is close to Gaussian, with the exception of a few outliers. Data (black) and noise estimates (yellow) for the LIGO S1 datasets.

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group Gaussianity of B k data if the data is Gaussian: the histogram should be Gaussian with  =0  =1. The dots in the figures are the expected distribution. N: number of degrees of freedom = 2*number of B k s

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group “Results” (EM pulsar) PSR J Data Injected signal, h = x Injected signal, h = 2x Injected signal, h = 3x Injected signal, h = 5x Time domain analysis: No evidence of signal from PSR J1939 at f = Hz Ref. -- h max < 3 x for PSR J Hough, J. et al., Nature, 303 (1983) 216 h max < 3 x at f = (+/- 0.03) Hz - Astone, Phys.Rev. D65 (2002) (untargeted search)

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group Frequency domain search The input data are a set of SFTs of the time domain data, with a time baseline such that the instantaneous frequency of a putative signal does not move by more than half a frequency bin (60s for S1 to ensure stationarity) Data are studied in a narrow frequency band (0.5 Hz) and S h (f) is estimated for each SFT. Detection statistic used is described in [Jaranoski, Krolak, Schutz, Phys. Rev. D58(1998)063001] The F detection statistic provides the maximum value of the likelihood ratio with respect to the unknown parameters,, given the data and the template parameters that are known HIGH-PASS FILTER WINDOW FT ComputeFStatistic x(t) F (f 0 ) f 0min < f 0 < f 0max SFTs

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group F statistic & frequentist upper limit The outcome of a target search is a number F* that represents the optimal detection statistic for this search. 2F* is a random variable, for Gaussian stationary noise, follows a  2 distribution with 4 degrees of freedom. If the data contains the signal, 2F* follows a  2 dist. with 4 degrees of freedom and non-centrality parameter, p  (2F| ).  (h|h) Fixing, for every value of h 0, we can obtain a pdf curve: The frequentist approach says the data will contain a signal with amplitude  h 0, with confidence C, if in repeated experiments, some fraction of trials C would yield a value of the detection statistics  F* is the functional inverse of is estimated by means of Monte Carlo simulations, injecting fake signals with fixed amplitude (for many different h 0 ), using the worse case for

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group S1 analysis for PSR J Noise studies Value of  S h  over a band of 1Hz over the entire S1 data. Bands Hz and Hz GEO LHO 2km

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group Results for PSR J at f= Hz IFOF *h 0 (95%) fit theory GEO LLO 4km LHO 4km LHO 2km ?? ? Frequency domain search The 95% confidence upper limit values of h 0 Measured pdf for the F statistic Injected signals at h 0 = ? Dots: Monte Carlo simulations Line:  2 distribution (4 dof, =?) Area: integral pdf between 2F* and 

A. M. Sintes Recontres de Moriond, Les Arcs (France), March 22-29, 2003 Results from the LSC periodic sources working group Future plans –Expand analysis to all known isolated pulsars whose emission frequency lies in the sensitivity band of the detectors –Extend the targeted searches to pulsars in binary systems (work in progress for LMXRBs, e.g. Sco X-1) –With time domain method, track systems with complex phase evolutions, e.g. Crab pulsar –Extend searches to unknown sources using the frequency domain method –Use incoherent methods (under development) to perform extensive parameter space surveys (e.g. unbias search, Hough transform)