The output mode cleaner of GEO 600

Prijatelj, M. et al. (2012) The output mode cleaner of GEO 600. Classical and Quantum Gravity, 29(5), 055009. (doi: 10.1088/0264-9381/29/5/055009)

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Publisher's URL: http://dx.doi.org/10.1088/0264-9381/29/5/055009

Abstract

The German–British interferometric gravitational wave detector GEO 600 is currently undergoing upgrades within the GEO-HF upgrade program. The goal of this program is to enhance the sensitivity of GEO 600, in particular at frequencies above 500 Hz. At these frequencies, the detector is limited by shot noise. An important element of the upgrade is the implementation of an output mode cleaner (OMC). This filtering cavity suppresses higher order spatial and temporal modes in the interferometer's output beam, thereby reducing the shot noise and enhancing sensitivity. Fully automated lock acquisition for the OMC was developed in order to ensure a high duty cycle of GEO 600. To maintain optimum sensitivity, the resonance condition of the OMC must be matched to the output beam from the interferometer. This requires continuous control of the resonance frequency of the OMC to the light, and alignment of the beam to the OMC. We describe the design and implementation of the OMC with special attention to the control techniques employed. We present results from the experience gained during the S6/VSR3 science run. Furthermore, we describe an upper limit measurement of the internal displacement noise of a piezoelectric actuator.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Strain, Professor Kenneth
Authors: Prijatelj, M., Degallaix, J., Grote, H., Leong, J., Affeldt, C., Hild, S., Lück, H., Slutsky, J., Wittel, H., Strain, K., and Danzmann, K.
College/School:College of Science and Engineering > School of Physics and Astronomy
Research Centre:College of Science and Engineering > School of Physics and Astronomy > Institute for Gravitational Research
Journal Name:Classical and Quantum Gravity
Publisher:Institute of Physics
ISSN:0264-9381
ISSN (Online):1361-6382

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