1. GEO600 Data Analysis Status
Bernard Schutz
Albert Einstein Institute
Potsdam/Golm

2. 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).
Bernard F Schutz Albert Einstein Institute
17 December 2003
GEO Data Analysis

3. 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.
Bernard F Schutz Albert Einstein Institute
17 December 2003
GEO Data Analysis

4. 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 at 1284 Hz:  < 2.9  (gr-qc/ , 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).
Bernard F Schutz Albert Einstein Institute
17 December 2003
GEO Data Analysis

5. Detection statistic for S1 hardware injections
Inspiral analysis
See talk by T Cokelaer (Thursday)
GEO generating PN templates, template bank. Tests of template placement using injected signals very satisfactory.
Detection statistic for S1 hardware injections
Day
injected
candidates
identified
detected
false alarms
250
135
128
126
93% 2
251
167
169
100% 1
252 92 85 81
88% 4
Error in: Chirp mass <5%, Total mass < 10%, Distance <20%
S3 plans: spinning BH inspiral templates
Bernard F Schutz Albert Einstein Institute
17 December 2003
GEO Data Analysis

6. 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.
Bernard F Schutz Albert Einstein Institute
17 December 2003
GEO Data Analysis

7. 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.
Bernard F Schutz Albert Einstein Institute
17 December 2003
GEO Data Analysis

8. 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
Bernard F Schutz Albert Einstein Institute
17 December 2003
GEO Data Analysis