English

The ASKAP Variables and Slow Transients (VAST) Extragalactic Survey - Data Release 1

Cosmology and Nongalactic Astrophysics 2026-02-27 v1 High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics

Abstract

The Variables and Slow Transients (VAST) Survey on the Australian SKA Pathfinder (ASKAP) is designed to systematically explore the dynamic radio sky, detecting sources that vary on timescales from minutes to several years. In this paper, we present Data Release 1 of the VAST Extragalactic Survey, which targets slowly evolving synchrotron transients in the southern sky. The observations were carried out between June 2023 and May 2025, comprising 2945 images of 276 fields spanning 12300 deg2\sim 12300\ \mathrm{deg}^2, observed at 888 MHz with a typical rms sensitivity of 0.24 mJy beam1\rm{beam}^{-1} and 12-20 arcsec resolution. Each field was revisited approximately every two months, yielding 10 or 11 observations per field. The VAST pipeline extracts the light curves for all the observed sources, and additional filters are implemented to improve the reliability of the resulting light curve database. The light curve database contains 0.5 million sources and 6.4 million individual measurements, publicly available through the CSIRO data access portal. An untargeted variability search yields 117 astrophysical variables, including 27 pulsars, 40 radio stars (10 newly detected at radio wavelengths), 44 active galactic nuclei, two optically identified supernovae, one supernova candidate, one brown dwarf, and two sources without multi-wavelength counterparts that are yet to be identified. This data release provides the first large-scale, high-cadence, uniform view of long-term radio variability in the extragalactic sky and lays the groundwork for future population studies of radio transients with ASKAP.

Keywords

Cite

@article{arxiv.2602.22739,
  title  = {The ASKAP Variables and Slow Transients (VAST) Extragalactic Survey - Data Release 1},
  author = {Iris de Ruiter and Dougal Dobie and Tara Murphy and David L. Kaplan and Emil Lenc and Akash Anumarlapudi and Laura N. Driessen and Ashna Gulati and Assaf Horesh and James K. Leung and Joshua Pritchard and Kovi Rose and Elaine M. Sadler and Gregory Sivakoff and Yuanming Wang and Ziteng Wang},
  journal= {arXiv preprint arXiv:2602.22739},
  year   = {2026}
}

Comments

Accepted for publication in PASA

R2 v1 2026-07-01T10:53:29.676Z