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Invited seminar at Center for Computational Relativity and Gravitation – Rochester Institute of Technology

March 11 @ 6:00 pm - 7:00 pm

Title: Empirically estimating the distribution of the loudest candidate from a gravitational-wave search

Abstract: Searches for gravitational-wave signals are often based on maximizing a detection statistic over a bank of waveform templates, covering a given parameter space with a variable level of correlation. Results are often evaluated using a noise-hypothesis test, where the background is characterized by the sampling distribution of the loudest template. In the context of continuous gravitational-wave searches, properly describing said distribution is an open problem: current approaches focus on a particular detection statistic and neglect template-bank correlations. We introduce a new approach using extreme value theory to describe the distribution of the loudest template’s detection statistic in an arbitrary template bank. Our new proposal automatically generalizes to a wider class of detection statistics, including (but not limited to) line-robust statistics and transient continuous-wave signal hypotheses, and improves the estimation of the expected maximum detection statistic at a negligible computing cost. The performance of our proposal is demonstrated on simulated data as well as by applying it to different kinds of (transient) continuous-wave searches using O2 Advanced LIGO data.

Date: March 11th 2022 – 18:00 CET
Link: https://rit.zoom.us/j/94103468961?pwd=dmJMY0hCZU4rMXg1RUNEQmdkYUVrdz09

Details

Date:
March 11
Time:
6:00 pm - 7:00 pm
Event Categories:
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