Outputs (7)

The e-MANTIS emulator: fast predictions of the non-linear matter power spectrum in f(R)CDM cosmology (2023)
Journal Article
Sáez-Casares, I., Rasera, Y., & Li, B. (2024). The e-MANTIS emulator: fast predictions of the non-linear matter power spectrum in f(R)CDM cosmology. Monthly Notices of the Royal Astronomical Society, 527(3), 7242-7262. https://doi.org/10.1093/mnras/stad3343

In order to probe modifications of gravity at cosmological scales, one needs accurate theoretical predictions. N-body simulations
are required to explore the non-linear regime of structure formation but are very time consuming. In this work, we rele... Read More about The e-MANTIS emulator: fast predictions of the non-linear matter power spectrum in f(R)CDM cosmology.

An emulator-based halo model in modified gravity – I. The halo concentration–mass relation and density profile (2023)
Journal Article
Ruan, C.-Z., Cuesta-Lazaro, C., Eggemeier, A., Li, B., Baugh, C. M., Arnold, C., Bose, S., Hernández-Aguayo, C., Zarrouk, P., & Davies, C. T. (2024). An emulator-based halo model in modified gravity – I. The halo concentration–mass relation and density profile. Monthly Notices of the Royal Astronomical Society, 527(2), 2490–2507. https://doi.org/10.1093/mnras/stad3021

Where shadows lie: reconstruction of anisotropies in the neutrino sky (2023)
Journal Article
Elbers, W., Frenk, C. S., Jenkins, A., Li, B., Pascoli, S., Jasche, J., …Springel, V. (2023). Where shadows lie: reconstruction of anisotropies in the neutrino sky. Journal of Cosmology and Astroparticle Physics, 2023(10), Article 010. https://doi.org/10.1088/1475-7516/2023/10/010

The Cosmic Neutrino Background (CNB) encodes a wealth of information, but has not yet been observed directly. To determine the prospects of detection and to study its information content, we reconstruct the phase-space distribution of local relic neu... Read More about Where shadows lie: reconstruction of anisotropies in the neutrino sky.

Machine learning and structure formation in modified gravity (2023)
Journal Article
Betts, J. C., van de Bruck, C., Arnold, C., & Li, B. (2023). Machine learning and structure formation in modified gravity. Monthly Notices of the Royal Astronomical Society, 526(3), 4148–4156. https://doi.org/10.1093/mnras/stad2915

MGLENS: Modified gravity weak lensing simulations for emulation-based cosmological inference (2023)
Journal Article
Harnois-Déraps, J., Hernandez-Aguayo, C., Cuesta-Lazaro, C., Arnold, C., Li, B., Davies, C. T., & Cai, Y. (2023). MGLENS: Modified gravity weak lensing simulations for emulation-based cosmological inference. Monthly Notices of the Royal Astronomical Society, 525(4), 6336–6358. https://doi.org/10.1093/mnras/stad2700

Upscaling ExaHyPE – on each and every core (2023)
Report
Li, B., Schulz, H., Tuft, A., Weinzierl, T., & Zhang, H. (2023). Upscaling ExaHyPE – on each and every core. ARCHER2

We study a MPI+multithreaded PDE solver for hyperbolic partial differential equations. Each thread per rank handles a subdomain of the computational domain identified by a segment of a space-filling curve. The threads spawn additional tasks which sho... Read More about Upscaling ExaHyPE – on each and every core.

Galaxy clustering from the bottom up: A Streaming Model emulator I (2023)
Journal Article
Cuesta-Lazaro, C., Nishimichi, T., Kobayashi, Y., Ruan, C.-Z., Eggemeier, A., Miyatake, H., Takada, M., Yoshida, N., Zarrouk, P., Baugh, C. M., Bose, S., & Li, B. (2023). Galaxy clustering from the bottom up: A Streaming Model emulator I. Monthly Notices of the Royal Astronomical Society, 523(3), 3219–3238. https://doi.org/10.1093/mnras/stad1207

In this series of papers, we present a simulation-based model for the non-linear clustering of galaxies based on separate modelling of clustering in real space and velocity statistics. In the first paper, we present an emulator for the real-space cor... Read More about Galaxy clustering from the bottom up: A Streaming Model emulator I.