GEO02 February GEO Binary Inspiral Search Analysis

GEO02 February 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

GEO02 February Waveform families Five approximants (three different post- Newtonian families, P-approximants, effective one-body approach) Seven different post-Newtonian orders

GEO02 February Code Organisation Waveform generation Codes Template Bank codes MPI Shell Master Slave Single instruction multiple data Database Signal Injection, Monte Carlo simulations

GEO02 February Upper limits two 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

GEO02 February 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?

GEO02 February A Monte Carlo Simulation testing the code

GEO02 February A Monte Carlo Simulation parameter space

GEO02 February Monte Carlo Simulation overlaps

GEO02 February Monte Carlo Simulation signal-to-noise ratios

GEO02 February Monte Carlo Simulation overlap histogram

GEO02 February Monte Carlo Simulation snr - cumulative

GEO02 February Monte Carlo Simulation snr histogram

GEO02 February Monte Carlo Simulation job statistics

GEO02 February 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)

GEO02 February 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