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GEO600 Data Analysis Status. Bernard Schutz Albert Einstein Institute Potsdam/Golm. GEO Participation in Science Runs. GEO participated fully in S1, LSC analysis essentially finished. Two LSC working group co-chairs are GEO members: MA Papa (pulsar searches), J Romano (stochastic).
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GEO600 Data Analysis Status Bernard Schutz Albert Einstein Institute Potsdam/Golm
GEO Participation in Science Runs • GEO participated fully in S1, LSC analysis essentially finished. Two LSC working group co-chairs are GEO members: MA Papa (pulsar searches), J Romano (stochastic). • GEO did not participate in S2; installing signal recycling mirror. • Just before beginning of S3, GEO scientists succeeded in learning how to control IFO with signal recycling mirror: a crucial step in GW detector development. This demonstrates a technique that will be central to the Advanced LIGO upgrade. • GEO participated in S3 for first week, then withdrew in order to improve sensitivity. Not yet clear when it will rejoin S3. Excellent stability: duty cycle during first week was 95%. • See talks by J Smith, M Hewitson (Friday). GEO Data Analysis
GEO Data Analysis People • GEO coordinates its data activities within the project: • GEO Detector Characterization: A Sintes, K Strain • GEO Calibration: H Ward, M Hewitson • GEO data distribution and exchange: S Grunewald, D Churches. GEO Data Analysis
GW pulsar analysis • See talks by G Woan, R Dupuis, A Vecchio (Thursday), poster by M A Papa. • GEO has contributed the main pulsar search codes to the LSC: (1) coherent demodulation, (2) Bayesian targeted searches using heterodyning, (3) Hough transform hierarchical search. • First two codes used for analysis of S1 data from 4 detectors; LSC set 95% confidence upper limit ellipticity of PSR J 1939+2134 at 1284 Hz: < 2.9 10-4 (gr-qc/0308050, accepted PRD) • S2 search widened to include all known pulsars plus first use of Hough transform to perform area search for unknown neutron stars. • S2 analysis also includes searches for pulsars in binaries, searches for accreting neutron stars (Sco X-1). GEO Data Analysis
Inspiral analysis • See talk by T Cokelaer (Thursday) • GEO generating PN templates, template bank. Tests of template placement using injected signals very satisfactory. • S3 plans: spinning BH inspiral templates GEO Data Analysis
Stochastic analysis • See talks by J Romano, T Regimbau • GEO-LIGO correlations inherently less sensitive due to longer baseline, but provide useful check on instrumental/analysis effects. • First such correlations will be performed with S3 data. Software for LAL/LALApps currently being validated. GEO Data Analysis
Burst analysis • See talks by S Heng (Thursday), R Balasubramanian (Saturday), poster by S Heng. • The goal is to bring GEO S3 data into a multi-detector analysis. Different orientation and sensitivity bandwidth of GEO make this analysis interesting and non-trivial. • Excess power and TFClusters generate events. • Practical problems: GEO data double-precision, GEO++/HACR pipeline outside LAL. GEO Data Analysis
GEO cluster computers • Merlin (AEI/Golm): 180 dual-CPU Athlon nodes, 64 TB disk space • Explorer (Cardiff):80 dual-CPU Athlon nodes, 20 TB disk space • Tsunami (Birmingham): 100 dual-CPU Xeon nodes, 10 TB disk space GEO Data Analysis