Detection and characterization of instrumental transients in LISA Pathfinder and their projection to LISA

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PhysRevD.105.042002.pdf (3.67 MB)

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https://journals.aps.org/prd/abstract/10.1103/PhysRevD.105.042002

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https://doi.org/10.1103/PhysRevD.105.042002
 http://hdl.handle.net/11603/32746

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UMBC Center for Space Sciences and Technology (CSST) / Center for Research and Exploration in Space Sciences & Technology II (CRSST II)

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https://orcid.org/0000-0002-4429-0682

Date

2022-02-16

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journal articles
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Citation of Original Publication

Baghi, Quentin, Natalia Korsakova, Jacob Slutsky, Eleonora Castelli, Nikolaos Karnesis, and Jean-Baptiste Bayle. “Detection and Characterization of Instrumental Transients in LISA Pathfinder and Their Projection to LISA.” Physical Review D 105, no. 4 (February 16, 2022): 042002. https://doi.org/10.1103/PhysRevD.105.042002.

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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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Abstract

The LISA Pathfinder (LPF) mission succeeded outstandingly in demonstrating key technological aspects of future space-borne gravitational-wave detectors, such as the Laser Interferometer Space Antenna (LISA). Specifically, LPF demonstrated with unprecedented sensitivity the measurement of the relative acceleration of two free-falling cubic test masses. Although most disruptive nongravitational forces have been identified and their effects mitigated through a series of calibration processes, some faint transient signals of yet unexplained origin remain in the measurements. If they appear in the LISA data, these perturbations (also called glitches) could skew the characterization of gravitational-wave sources or even be confused with gravitational-wave bursts. For the first time, we provide a comprehensive census of LPF transient events. Our analysis is based on a phenomenological shapelet model allowing us to derive simple statistics about the physical features of the glitch population. We then implement a generator of synthetic glitches designed to be used for subsequent LISA studies, and perform a preliminary evaluation of the effect of the glitches on future LISA data analyses.