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GEO Binary Inspiral Search Analysis

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Template generation, placement and Monte Carlo codes

• Three LAL (inspiral, bank, noisemodels) and one non-LAL (but LAL-standard-complaint) geoinspiralsearch, libraries

• 10,000 lines of code• 150 pages of documentation

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Waveform families

• Five approximants (three different post-Newtonian families, P-approximants, effective one-body approach)

• Seven different post-Newtonian orders

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Code Organisation

Waveform generation Codes

Template Bank codes

MPI Shell

Master Slave

Single instruction multiple data

Database

Signal Injection,Monte Carlo simulations

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Upper limitstwo goals

• Set upper limits on NS-NS binaries in the range 1-3 solar masses for individual components

• Explore setting upper limits on BH-BH binaries in the range 3-20 solar masses

• What issues are facing us with regard to setting upper limits on BH-BH binaries

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IUL Plan• Confirm the minimal match over the template bank for binaries in the mass range of interest (done).• Monte Carlo a binary inspiral search through simulated Gaussian data from a single interferometer to

determine crude thresholds for a search through real data (done). • Run the inspiral search codes on real (playground) data to estimate the difference between the rate

in real data versus that in simulated Gaussian noise (ongoing). • [20 February 2002] Use the results from the run through playground data to develop a set of veto

based on the tools currently at our disposal: • In the process, identify classes of noise glitch and tools which are useful for this classification

process. • [7 February 2002] Do simulated signal injections into the playground data to estimate the sensitivity

of the interferometers to binary neutron star inspiral in the galaxy.• [28 February 2002] Run the search codes on the data to produce a list of candidates from each of

the interferometers: H1, L1, H2 and GEO. • [10 March 2002] Inject simulated signals from a Galactic population of binaries into the data stream

to determine the efficiency of the search method. • [10 March 2002] Produce a list of candidates from each of the interferometers, combine and

determine the loudest (in the sense of multi-interferometer statistic) surviving event or events depending on the statistic to be used for the upper limit.

• [10 March 2002] Determine the upper-limit on event rate using the loudest event (or other) method. What's the answer?

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A Monte Carlo Simulationtesting the code

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A Monte Carlo Simulationparameter space

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Monte Carlo Simulationoverlaps

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Monte Carlo Simulationsignal-to-noise ratios

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Monte Carlo Simulationoverlap histogram

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Monte Carlo Simulationsnr - cumulative

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Monte Carlo Simulationsnr histogram

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Monte Carlo Simulationjob statistics

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Conclusions

• Codes are ready and tested• Initial explorations have begun• Some results expected by the March LSC• But sensitivity not good enough at low

frequencies to set any meaningful upper-limits (may be just about as good, but certainly not better than 40 m analysis)

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Future• Write a MPI shell for hierarchical search• Include (intelligent) template storing

algorithms to minimize signal generation costs (e.g. one-parameter family of mother templates that depend only on the total mass rather than a two-parameter family)

• Include spin effects (Alberto et al) in our templates