GPU-accelerated periodic source identification in large-scale surveys: Measuring P and P

Michael L. Katz, Olivia R. Cooper, Michael W. Coughlin, Kevin B. Burdge, Katelyn Breivik, Shane L. Larson

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

Many inspiraling and merging stellar remnants emit both gravitational and electromagnetic radiation as they orbit or collide. These gravitational wave events together with their associated electromagnetic counterparts provide insight about the nature of the merger, allowing us to further constrain properties of the binary. With the future launch of the Laser Interferometer Space Antenna (LISA), follow-up observations and models are needed of ultracompact binary (UCB) systems. Current and upcoming long baseline time domain surveys will observe many of these UCBs. We present a new fast periodic object search tool capable of searching for generic periodic signals based on the conditional entropy algorithm. This new implementation allows for a grid search over both the period (P) and the time derivative of the period (P ). To demonstrate the usage of this tool, we use a small, hand-picked subset of a UCB population generated from the population synthesis code COSMIC, as well as a custom catalogue for varying periods at fixed intrinsic parameters. We simulate light curves as likely to be observed by future time domain surveys by using an existing eclipsing binary light-curve model accounting for the change in orbital period due to gravitational radiation. We find that a search with P values is necessary for detecting binaries at orbital periods less than ∼10 min. We also show it is useful in finding and characterizing binaries with longer periods, but at a higher computational cost. Our code is called GCE (GPU-accelerated Conditional Entropy). It is available on Github (https://github.com/mikekatz04/gce).

Original languageEnglish (US)
Pages (from-to)2665-2675
Number of pages11
JournalMonthly Notices of the Royal Astronomical Society
Volume503
Issue number2
DOIs
StatePublished - May 1 2021

Bibliographical note

Funding Information:
MLK acknowledges support from the National Science Foundation under grant DGE-0948017 and the Chateaubriand Fellowship from the Office for Science & Technology of the Embassy of France in the United States. ORC gratefully acknowledges support from the LIGO Scientific Collaboration, the California Institute of Technology, and the National Science Foundation through the LIGO Summer Undergraduate Research Fellowships (LIGO SURF) Program hosted by Caltech Student-Faculty Programs. MWC acknowledges support from the National Science Foundation with grant number PHY-2010970. This research was supported in part through the computational resources and staff contributions provided for the Quest/Grail high performance computing facility at Northwestern University. ASTROPY, a community-developed core PYTHON package for Astronomy, was used in this research (Astropy Collaboration et al. 2013). This paper also employed use of SCIPY (Jones et al. 2018), NUMPY (Walt, Colbert & Varoquaux 2011), PANDAS (McKinney 2010; The pandas development team 2020), and MATPLOTLIB (Hunter 2007).

Publisher Copyright:
© 2021 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society

Keywords

  • Gravitational waves
  • Software: data analysis
  • White dwarfs

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