The Astrophysical Journal (Jan 2025)

The Hourglass Simulation: A Catalog for the Roman High-latitude Time-domain Core Community Survey

  • B. M. Rose,
  • M. Vincenzi,
  • R. Hounsell,
  • H. Qu,
  • L. Aldoroty,
  • D. Scolnic,
  • R. Kessler,
  • P. Macias,
  • D. Brout,
  • M. Acevedo,
  • R. C. Chen,
  • S. Gomez,
  • E. Peterson,
  • D. Rubin,
  • M. Sako,
  • the Roman Supernova Project Infrastructure Team

DOI
https://doi.org/10.3847/1538-4357/ade1d6
Journal volume & issue
Vol. 988, no. 1
p. 65

Abstract

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We present a simulation of the time-domain catalog for the Nancy Grace Roman Space Telescope’s High-Latitude Time-Domain Core Community Survey. This simulation, called the Hourglass simulation, uses the most up-to-date spectral energy distribution models and rate measurements for 10 extragalactic time-domain sources. We simulate these models through the design reference Roman Space Telescope survey: four filters per tier, a five-day cadence, over 2 yr, a wide tier of 19 deg ^2 , and a deep tier of 4.2 deg ^2 , with ∼20% of those areas also covered with prism observations. We find that a science-independent Roman time-domain catalog, assuming a signal-to-noise ratio at a max of >5, would have approximately 21,000 Type Ia supernovae, 40,000 core-collapse supernovae, around 70 superluminous supernovae, ∼35 tidal disruption events, three kilonovae, and possibly pair-instability supernovae. In total, Hourglass has over 64,000 transient objects, 11,000,000 photometric observations, and 500,000 spectra. Additionally, Hourglass is a useful data set to train machine learning classification algorithms. We show that SCONE is able to photometrically classify Type Ia supernovae with high precision (∼95%) to a z > 2. Finally, we present the first realistic simulations of non-Type Ia supernovae spectral time series data from Roman’s prism.

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