physiCal: A physical approach to the marginalization of LIGO calibration uncertainties
Salvatore Vitale, Carl-Johan Haster, Ling Sun, Ben Farr, Evan Goetz,, Jeff Kissel, Craig Cahillane

TL;DR
physiCal introduces a novel method for incorporating detailed calibration information into gravitational wave source analysis, improving accuracy and enabling better instrument calibration using astrophysical data.
Contribution
It presents a new approach that leverages the calibration process details to better account for uncertainties during source characterization.
Findings
Performs comparably to existing methods in source analysis.
Enables improved measurement of instrument calibration components.
Applicable to real and simulated gravitational wave data.
Abstract
The data from ground based gravitational-wave detectors such as Advanced LIGO and Virgo must be calibrated to convert the digital output of photodetectors into a relative displacement of the test masses in the detectors, producing the quantity of interest for inference of astrophysical gravitational wave sources. Both statistical uncertainties and systematic errors are associated with the calibration process, which would in turn affect the analysis of detected sources, if not accounted for. Currently, source characterization algorithms either entirely neglect the possibility of calibration uncertainties or account for them in a way that does not use knowledge of the calibration process itself. We present physiCal, a new approach to account for calibration errors during the source characterization step, which directly uses all the information available about the instrument calibration…
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