Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Review of the Laguerre-Gauss mode technology research program at Birmingham

Fulda, P., Bond, C., Brown, D., Brückner, F., Carbone, L., Chelkowski, S., Hild, S., Kokeyama, K., Wang, M. and Freise, A. 2012. Review of the Laguerre-Gauss mode technology research program at Birmingham. Presented at: 9th Edoardo Amaldi Conference and Numerical Relativity - Data Analysis Meeting (Amaldi 9/NRDA 2011), Cardiff, Wales, 10-15 July 2011. IOP Publishing: Conference Series, 012010. 10.1088/1742-6596/363/1/012010

[thumbnail of Fulda_2012_J._Phys.__Conf._Ser._363_012010.pdf]
PDF - Published Version
Download (7MB) | Preview


Gravitational wave detectors of the advanced generation are expected to be limited in sensitivity by thermal noise of the optics. The reduction of this noise is therefore of high importance for future detectors which aim to surpass the sensitivity of the advanced generation. A proposed method for reducing the impact of this noise is to use higher-order Laguerre-Gauss (LG) modes for the readout beam, as opposed to the currently used fundamental mode. We present here a synopsis of the research program undertaken by the University of Birmingham into the suitability of LG mode technology for future gravitational wave detectors. This will cover our previous and current work on this topic, from initial simulations and table-top LG mode experiments up to implementation in a prototype scale suspended cavity and high-power laser bench.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Status: Published
Schools: Physics and Astronomy
Publisher: IOP Publishing: Conference Series
ISSN: 1742-6588
Date of First Compliant Deposit: 19 March 2021
Date of Acceptance: 1 January 2012
Last Modified: 16 Apr 2021 15:15

Citation Data

Cited 1 time in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item


Downloads per month over past year

View more statistics