GEO600 Data Analysis Status

Bernard Schutz

Albert Einstein Institute

Potsdam/Golm

Bernard F Schutz Albert Einstein Institute

17 December 2003

GEO Data Analysis

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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

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GEO Data Analysis People• GEO coordinates its data activities within the project:

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• 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

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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).

Bernard F Schutz Albert Einstein Institute

17 December 2003

GEO Data Analysis

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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

251 167 169 167 100% 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

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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

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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

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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