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

Abstract:
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 deg2, and a deep tier of 4.2 deg2, 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.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.3847/1538-4357/ade1d6

Authors


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Role:
Author
ORCID:
0000-0002-1873-8973
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Institution:
University of Oxford
Division:
MPLS
Department:
Physics
Sub department:
Physics - Central
Role:
Author
ORCID:
0000-0001-8788-1688
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Role:
Author
ORCID:
0000-0002-0476-4206
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Role:
Author
ORCID:
0000-0003-1899-9791
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Role:
Author
ORCID:
0000-0003-0183-451X


Publisher:
American Astronomical Society
Journal:
The Astrophysical Journal More from this journal
Volume:
988
Issue:
1
Article number:
65
Publication date:
2025-07-15
Acceptance date:
2025-06-04
DOI:
EISSN:
1538-4357
ISSN:
0004-637X


Language:
English
Keywords:
Source identifiers:
3116920
Deposit date:
2025-07-15
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