OpenUniverse2024: a shared, simulated view of the sky for the next generation of cosmological surveys
ABSTRACT The OpenUniverse2024 simulation suite is a cross-collaboration effort to produce matched simulated imaging for multiple surveys as they would observe a common simulated sky. Both the simulated data and associated tools used to produce it are intended to uniquely enable a wide range of studies to maximize the science potential of the next generation of cosmological surveys. We have produced simulated imaging for approximately 70 deg$^2$ of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST) Wide-Fast-Deep survey and the Nancy Grace Roman Space Telescope High-Latitude Wide-Area Survey, as well as overlapping versions of the ELAIS-S1 Deep-Drilling Field for LSST and the High-Latitude Time-Domain Survey for Roman. OpenUniverse2024 includes (i) an early version of the updated extragalactic model called Diffsky, which substantially improves the realism of optical and infrared photometry of objects, compared to previous versions of these models; (ii) updated transient models that extend through the wavelength range probed by Roman and Rubin; and (iii) improved survey, telescope, and instrument realism based on up-to-date survey plans and known properties of the instruments. It is built on a new and updated suite of simulation tools that improves the ease of consistently simulating multiple observatories viewing the same sky. The approximately 400 TB of synthetic survey imaging and simulated universe catalogs are publicly available, and we preview some scientific uses of the simulations.
Authors
- C. W. Walter (ORCID: https://orcid.org/0000-0003-2035-2380)
- Benjamin Rose (ORCID: https://orcid.org/0000-0002-1873-8973)
- Tao Wu (ORCID: https://orcid.org/0000-0001-6832-4325)
- A. Mahabal (ORCID: https://orcid.org/0000-0003-2242-0244)
- L. Galbany (ORCID: https://orcid.org/0000-0002-1296-6887)
- N. Šarčević (ORCID: https://orcid.org/0000-0001-7301-6415)
- Apurba Bera (ORCID: https://orcid.org/0000-0002-2864-4110)
- D. Scolnic (ORCID: https://orcid.org/0000-0002-4934-5849)
- Kevin Cao (ORCID: https://orcid.org/0000-0002-9494-0946)
- J. Masiero (ORCID: https://orcid.org/0000-0003-2638-720X)
- D. Rubin (ORCID: https://orcid.org/0000-0001-5402-4647)
- E. Kovacs (ORCID: https://orcid.org/0000-0002-2545-1989)
- R. Paladini (ORCID: https://orcid.org/0000-0002-5158-243X)
- Bhuvnesh Jain (ORCID: https://orcid.org/0000-0002-8220-3973)
- S. Mau (ORCID: https://orcid.org/0000-0003-3519-4004)
- A. A. Plazas (ORCID: https://orcid.org/0000-0002-2598-0514)
- Gillian D. Beltz-Mohrmann (ORCID: https://orcid.org/0000-0002-4392-8920)
- J. Chiang (ORCID: https://orcid.org/0000-0001-5738-8956)
- Jacob E. Jencson (ORCID: https://orcid.org/0000-0001-5754-4007)
- Andrew P. Hearin (ORCID: https://orcid.org/0000-0003-2219-6852)
- Y Fang (ORCID: https://orcid.org/0009-0006-1010-1325)
- Rachel Mandelbaum (ORCID: https://orcid.org/0000-0003-2271-1527)
- Alex Broughton
- Katherine Laliotis (ORCID: https://orcid.org/0000-0002-6111-6061)
- Katrin Heitmann (ORCID: https://orcid.org/0000-0003-1468-8232)
- Emily Macbeth
- Nora Elisa Chisari (ORCID: https://orcid.org/0000-0003-4221-6718)
- Cheryl L. Meehan (ORCID: https://orcid.org/0000-0002-5540-8420)
- Ilídio Lopes (ORCID: https://orcid.org/0000-0002-5011-9195)
- Tianqing Zhang (ORCID: https://orcid.org/0000-0002-5596-198X)
- Russ R. Laher (ORCID: https://orcid.org/0000-0003-2451-5482)
- Lin Yan (ORCID: https://orcid.org/0000-0003-1710-9339)
- Christopher M. Hirata (ORCID: https://orcid.org/0000-0002-2951-4932)
- A. Kiessling
- Angelo Santos (ORCID: https://orcid.org/0000-0002-1420-3584)
- J. R. Bogart (ORCID: https://orcid.org/0000-0002-1345-1359)
- R Hounsell
- Jaladh Singhal (ORCID: https://orcid.org/0000-0002-8310-0829)
- V. Desai (ORCID: https://orcid.org/0000-0001-9032-1948)
- Arun Kannawadi (ORCID: https://orcid.org/0000-0001-8783-6529)
- R. A. Knop (ORCID: https://orcid.org/0000-0002-3803-1641)
- Lauren Aldoroty (ORCID: https://orcid.org/0000-0003-0183-451X)
- Mike Jarvis (ORCID: https://orcid.org/0000-0002-4179-5175)
- A. Alarcon (ORCID: https://orcid.org/0000-0001-8505-1269)
- J. Meyers (ORCID: https://orcid.org/0000-0002-2308-4230)
- B. Rusholme (ORCID: https://orcid.org/0000-0001-7648-4142)
- M. Yamamoto (ORCID: https://orcid.org/0000-0002-4957-764X)
- M. M. Kasliwal (ORCID: https://orcid.org/0000-0002-5619-4938)
- Chien-Hao Lin (ORCID: https://orcid.org/0000-0002-4002-0909)
- M. A. Troxel (ORCID: https://orcid.org/0000-0002-5622-5212)
- B Moraes
- R Kessler
- J Blazek
- G. Braeunlich
Institutions
- University of Hawaiʻi at Mānoa (US)
- Universidade Federal do Rio de Janeiro (BR)
- California Institute of Technology (US)
- Argonne National Laboratory (US)
- Northeastern University (US)
- Goddard Space Flight Center (US)
- Institute of Space Sciences (ES)
- Jet Propulsion Laboratory (US)
- Lawrence Berkeley National Laboratory (US)
- Baylor University (US)
- The University of Texas at Dallas (US)
- University of Pittsburgh (US)
- Duke University (US)
- SLAC National Accelerator Laboratory (US)
- ETH Zurich (CH)
- University of Chicago (US)
- Institut d'Estudis Espacials de Catalunya (ES)
- Instituto de Física Teórica (ES)
- Centro Brasileiro de Pesquisas Físicas (BR)
- The Ohio State University (US)
- Carnegie Mellon University (US)
- University of Maryland, Baltimore County (US)
- University of Pennsylvania (US)
- Newcastle University (GB)
- Stanford University (US)
Publication Details
- Journal
- Monthly Notices of the Royal Astronomical Society
- Published
- 2025-10-22
- DOI
- https://doi.org/10.1093/mnras/staf1833
- Citations
- 4
- Primary Topic
- Big Data Technologies and Applications
- Type
- article
- Field-Weighted Citation Impact
- 16.68