A Method for Comparison of GstLAL Performance in Gaussian Data and LIGO Detectors Data
ORAL
Abstract
We propose a method to quantitatively compare the performance of GW search "methods" in real detector data against simulated colored-Gaussian data. We use this method to compare the results of the GstLAL pipeline applied to real LIGO and Virgo data.
The method consists of comparing results from the behaviours of a given template bank on the two data-sets.
We find that, between the detectors, V1 shows the greatest divergence from Gaussianity (Non-Gaussianity Measure of 11.5), followed by H1 (Non-Gaussianity Measure of 10.4), and finally L1 (Non-Gaussianity Measure of 8.4). Within the detectors, we find that the triggers associated with BNS templates present the highest divergence from gaussianity, but due to the number of triggers, the ones associated to higher mass templates present the biggest contribution to the non-gaussianity measure of the detectors, with all detectors having most of its non-gaussianity coming from NSBH triggers.
The method consists of comparing results from the behaviours of a given template bank on the two data-sets.
We find that, between the detectors, V1 shows the greatest divergence from Gaussianity (Non-Gaussianity Measure of 11.5), followed by H1 (Non-Gaussianity Measure of 10.4), and finally L1 (Non-Gaussianity Measure of 8.4). Within the detectors, we find that the triggers associated with BNS templates present the highest divergence from gaussianity, but due to the number of triggers, the ones associated to higher mass templates present the biggest contribution to the non-gaussianity measure of the detectors, with all detectors having most of its non-gaussianity coming from NSBH triggers.
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Presenters
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Andre R Guimaraes
LIGO Livingston Observatory, Louisiana State University
Authors
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Andre R Guimaraes
LIGO Livingston Observatory, Louisiana State University
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Gabriela Gonzalez
Louisiana State University