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Tuning Advanced LIGO to kilohertz signals from neutron-star collisions

Ganapathy, Dhruva and McCuller, Lee and Rollins, Jameson Graef and Hall, Evan D. and Barsotti, Lisa and Evans, Matthew (2021) Tuning Advanced LIGO to kilohertz signals from neutron-star collisions. Physical Review D, 103 (2). Art. No. 022002. ISSN 2470-0010. doi:10.1103/physrevd.103.022002.

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Gravitational waves produced at kilohertz frequencies in the aftermath of a neutron star collision can shed light on the behavior of matter at extreme temperatures and densities that are inaccessible to laboratory experiments. Gravitational-wave interferometers are limited by quantum noise at these frequencies but can be tuned via their optical configuration to maximize the probability of postmerger signal detection. We compare two such tuning strategies to turn Advanced LIGO into a postmerger-focused instrument: first, a wideband tuning that enhances the instrument’s signal-to-noise ratio 40–80% broadly above 1 kHz relative to the baseline, with a modest sensitivity penalty at lower frequencies; second, a “detuned” configuration that provides even more enhancement than the wideband tuning, but over only a narrow frequency band and at the expense of substantially worse quantum noise performance elsewhere. With an optimistic accounting for instrument loss and uncertainty in postmerger parameters, the detuned instrument has a ≲ 40% sensitivity improvement compared to the wideband instrument.

Item Type:Article
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URLURL TypeDescription Paper
Ganapathy, Dhruva0000-0003-3028-4174
McCuller, Lee0000-0003-0851-0593
Rollins, Jameson Graef0000-0002-9388-2799
Hall, Evan D.0000-0001-9018-666X
Barsotti, Lisa0000-0001-9819-2562
Evans, Matthew0000-0001-8459-4499
Additional Information:© 2021 American Physical Society. (Received 29 October 2020; accepted 17 December 2020; published 11 January 2021) The authors thank the National Science Foundation for support under Grant No. PHY–0555406. E. D. H. is supported by the MathWorks, Inc. The authors acknowledge fruitful discussions with Haixing Miao and Hartmut Grote in the early stages of this work, as well as valuable inputs from Stefan Ballmer, Teng Zhang and Peter Fritschel. Upper bounds on the SRC loss were based on data from Valera Frolov.
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Issue or Number:2
Record Number:CaltechAUTHORS:20210114-164620112
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107497
Deposited By: George Porter
Deposited On:15 Jan 2021 15:29
Last Modified:16 Nov 2021 19:03

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