Published September 2016 | Version Submitted + Published
Journal Article Open

Supplement: "Going the Distance: Mapping Host Galaxies of LIGO and Virgo Sources in Three Dimensions Using Local Cosmography and Targeted Follow-up" (2016, ApJL, 829, L15)

  • 1. ROR icon Goddard Space Flight Center
  • 2. ROR icon University of Chicago
  • 3. ROR icon University of Birmingham
  • 4. ROR icon California Institute of Technology
  • 5. ROR icon Max Planck Institute for Gravitational Physics
  • 6. ROR icon University of Maryland, College Park
  • 7. ROR icon Radboud University Nijmegen
  • 8. ROR icon Harvard University
  • 9. ROR icon University of Wisconsin–Milwaukee
  • 10. ROR icon Massachusetts Institute of Technology

Abstract

This is a supplement to the Letter of Singer et al., in which we demonstrated a rapid algorithm for obtaining joint 3D estimates of sky location and luminosity distance from observations of binary neutron star mergers with Advanced LIGO and Virgo. We argued that combining the reconstructed volumes with positions and redshifts of possible host galaxies can provide large-aperture but small field of view instruments with a manageable list of targets to search for optical or infrared emission. In this Supplement, we document the new HEALPix-based file format for 3D localizations of gravitational-wave transients. We include Python sample code to show the reader how to perform simple manipulations of the 3D sky maps and extract ranked lists of likely host galaxies. Finally, we include mathematical details of the rapid volume reconstruction algorithm.

Additional Information

© 2016 American Astronomical Society. Received 2016 May 13; accepted 2016 August 5; published 2016 September 21. We thank the Aspen Center for Physics and NSF grant #1066293 for hospitality during the conception, writing, and editing of this paper. We thank P Shawhan and F Tombesi for detailed feedback on the manuscript. The online data release is available at https://dcc.ligo.org/P1500071/public/html. This is LIGO document P1500071-v7. Software: Astropy (Robitaille et al. 2013), GNU Scientific Library (Galassi & Gough 2009), HEALPix (Górski et al. 2005), Matplotlib (Hunter 2007), Yt (Turk et al. 2011).

Attached Files

Published - apjs_226_1_10.pdf

Submitted - 1605.04242v3.pdf

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Additional details

Identifiers

Eprint ID
70656
Resolver ID
CaltechAUTHORS:20160929-082925782

Related works

Funding

NSF
PHY-1066293

Dates

Created
2016-09-29
Created from EPrint's datestamp field
Updated
2021-11-11
Created from EPrint's last_modified field

Caltech Custom Metadata

Caltech groups
LIGO, Palomar Transient Factory
Other Numbering System Name
LIGO Document
Other Numbering System Identifier
P1500071-v7