Speakers
Andre Guimaraes
(Louisiana State University)
André Guimarães
Description
In this study we explore the differences of results of GW searches with the GstLAL pipeline applied to real LIGO data and simulated Colored-Gaussian data.
This difference is quantified with a measure derived from the Kolmogorov–Smirnov test, and is used to find out significant differences depending on template bank parameters.
We find that regions representative of high chirp mass are roughly 6 times more well behaved than those of low chirp mass according to the chosen measure.
| Which topic best fits your talk? | Modelling and Machine Learning Algorithms |
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Primary author
Andre Guimaraes
(Louisiana State University)
