Fast radio bursts (FRBs) are a powerful and mysterious new class of transients that are luminous enough to be detected at cosmological distances. By associating FRBs to host galaxies, we can measure intrinsic and environmental properties that test FRB origin models, in addition to using them as precise probes of distant cosmic gas. The Deep Synoptic Array (DSA-110) is a radio interferometer built to maximize the rate at which it can simultaneously detect and localize FRBs. Here, we present the first sample of FRBs and host galaxies discovered by the DSA-110. This sample of 11 FRBs is the largest, most uniform sample of localized FRBs to date, as it is selected based on association with host galaxies identified in optical imaging by Pan-STARRS1. These FRBs have not been observed to repeat, and their radio properties (dispersion, temporal scattering, energy) are similar to that of the known nonrepeating FRB population. Most host galaxies have ongoing star formation, as has been identified before for FRB hosts. Two hosts of the new sample are massive, quiescent galaxies. The distribution of star formation history across this host-galaxy sample shows that the delay time distribution is wide, with a power-law model that spans from ∼100 Myr to ≳2 Gyr. This requires the existence of one or more progenitor formation channels associated with old stellar populations, such as the binary evolution of compact objects.
Deep Synoptic Array Science: First FRB and Host Galaxy Catalog
- Creators
- Law, Casey J.
- Sharma, Kritti
- Ravi, Vikram1
- Chen, Ge
- Catha, Morgan
- Connor, Liam
- Faber, Jakob T.
- Hallinan, Gregg1
- Harnach, Charlie
- Hellbourg, Greg
- Hobbs, Rick
- Hodge, David
- Hodges, Mark
- Lamb, James W.
- Rasmussen, Paul
- Sherman, Myles B.
- Shi, Jun
- Simard, Dana
- Squillace, Reynier
- Weinreb, Sander
- Woody, David P.
- Yurk, Nitika Yadlapalli
Abstract
Copyright and License
© 2024. The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
Acknowledgement
We thank the OVRO staff for making this science possible through epidemics, fires, floods, and other disasters. The observatory is located on the ancestral homelands of the Big Pine Paiute Tribe of the Owens Valley. We recognize and acknowledge the historical and cultural significance of these lands to members of the tribe.
The DSA-110 is supported by the National Science Foundation Mid-Scale Innovations Program in Astronomical Sciences (MSIP) under grant AST-1836018. Some of the data presented herein were obtained at the W. M. Keck Observatory, which is operated as a scientific partnership among the California Institute of Technology, the University of California, and the National Aeronautics and Space Administration (NASA). The Observatory was made possible by the generous financial support of the W. M. Keck Foundation.
Some of the data presented herein were obtained at the W. M. Keck Observatory, which is operated as a scientific partnership among the California Institute of Technology, the University of California, and NASA. The Observatory was made possible by the generous financial support of the W. M. Keck Foundation. The authors wish to recognize and acknowledge the very significant cultural role and reverence that the summit of Maunakea has always had within the indigenous Hawaiian community. We are most fortunate to have the opportunity to conduct observations from this mountain.
We acknowledge use of the VLA calibrator manual and the radio fundamental catalog. This research has made use of NASA's Astrophysics Data System.
The Pan-STARRS1 Surveys (PS1) and the PS1 public science archive have been made possible through contributions by the Institute for Astronomy, the University of Hawaii, the Pan-STARRS Project Office, the Max-Planck Society and its participating institutes, the Max Planck Institute for Astronomy, Heidelberg and the Max Planck Institute for Extraterrestrial Physics, Garching, The Johns Hopkins University, Durham University, the University of Edinburgh, the Queen's University Belfast, the Harvard-Smithsonian Center for Astrophysics, the Las Cumbres Observatory Global Telescope Network Incorporated, the National Central University of Taiwan, the Space Telescope Science Institute, the NASA under grant No. NNX08AR22G issued through the Planetary Science Division of the NASA Science Mission Directorate, the National Science Foundation grant No. AST-1238877, the University of Maryland, Eotvos Lorand University (ELTE), the Los Alamos National Laboratory, and the Gordon and Betty Moore Foundation.
The Legacy Surveys consist of three individual and complementary projects: the Dark Energy Camera Legacy Survey (DECaLS; Proposal ID #2014B-0404; PIs: David Schlegel and Arjun Dey), the Beijing-Arizona Sky Survey (BASS; NOAO Prop. ID #2015A-0801; PIs: Zhou Xu and Xiaohui Fan), and the Mayall z-band Legacy Survey (MzLS; Prop. ID #2016A-0453; PI: Arjun Dey). DECaLS, BASS, and MzLS together include data obtained, respectively, at the Blanco telescope, Cerro Tololo Inter-American Observatory, NSF's NOIRLab; the Bok telescope, Steward Observatory, University of Arizona; and the Mayall telescope, Kitt Peak National Observatory, NOIRLab. Pipeline processing and analyses of the data were supported by NOIRLab and the Lawrence Berkeley National Laboratory (LBNL). The Legacy Surveys project is honored to be permitted to conduct astronomical research on Iolkam Du'ag (Kitt Peak), a mountain with particular significance to the Tohono O'odham Nation.
This research uses services or data provided by the Astro Data Lab at NSF's National Optical-Infrared Astronomy Research Laboratory. NOIRLab is operated by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. LBNL is managed by the Regents of the University of California under contract to the U.S. Department of Energy.
The Legacy Surveys imaging of the DESI footprint is supported by the Director, Office of Science, Office of High Energy Physics of the U.S. Department of Energy under contract No. DE-AC02-05CH1123, by the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility under the same contract; and by the U.S. National Science Foundation, Division of Astronomical Sciences under contract No. AST-0950945 to NOAO.
Facilities
Hale - Palomar Observatory's 5.1m Hale Telescope, VLA - Very Large Array, Keck:I (LRIS) - , Keck:II (ESI) - , DSA-110 - , PS1 - Panoramic Survey Telescope and Rapid Response System Telescope #1 (Pan-STARRS)
Software References
Astropy (Astropy Collaboration et al. 2013,2018, 2022), astroquery (Ginsburg et al. 2019), astropath (Aggarwal et al. 2021), emcee (Foreman-Mackey et al. 2013), lpipe (Perley 2019), Prospector (Johnson et al. 2021), CASA (CASA Team et al. 2022), Heimdall (Barsdell 2012), wsclean (Offringa et al. 2014), dynesty v2.1.0 (Speagle 2020), Bilby (Ashton et al. 2019; Romero-Shaw et al. 2020), FRB (Prochaska et al. 2023)
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Additional details
- ISSN
- 1538-4357
- National Science Foundation
- AST-1836018
- W. M. Keck Foundation
- NSF's NOIRLab
- United States Department of Energy
- DE-AC02-05CH1123
- National Science Foundation
- AST-0950945
- Caltech groups
- Astronomy Department, Owens Valley Radio Observatory