OmniCosmos: Transferring Particle Physics Knowledge Across the Cosmos
Foundation models build an effective representation of data that can be deployed on diverse downstream tasks. Previous research showed that the , a foundation model for collider physics, could significantly advance discovery potential across collider experiments. In this paper, we show that foundation models trained on collider data can transfer to cosmology. Specifically, we improve the prediction of cosmological parameters and halo and galaxy velocities in different datasets from . To the best of our knowledge, this is the first time a collider physics model has been shown to generalize across scientific fields.
Authors
- Ibrahim Elsharkawy (ORCID: https://orcid.org/0009-0000-2743-6785)
- Vinicius Mikuni (ORCID: https://orcid.org/0000-0002-1579-2421)
- Benjamin Nachman (ORCID: https://orcid.org/0000-0003-1024-0932)
Institutions
- University of Toronto (CA)
- SLAC National Accelerator Laboratory (US)
- National Energy Research Scientific Computing Center (US)
- Stanford University (US)
Publication Details
- Journal
- PRX Intelligence
- Published
- 2026-10-15
- DOI
- https://doi.org/10.1103/85gr-9vw6
- Primary Topic
- Cosmology and Gravitation Theories
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Energy
- National Energy Research Scientific Computing Center
- Office of Science
- Japan Science and Technology Agency