Zobrazeno 1 - 10
of 668
pro vyhledávání: '"Wandelt, Benjamin"'
Autor:
Makinen, T. Lucas, Heavens, Alan, Porqueres, Natalia, Charnock, Tom, Lapel, Axel, Wandelt, Benjamin D.
In inference problems, we often have domain knowledge which allows us to define summary statistics that capture most of the information content in a dataset. In this paper, we present a hybrid approach, where such physics-based summaries are augmente
Externí odkaz:
http://arxiv.org/abs/2407.18909
Scaling laws for large language models (LLMs) have provided useful guidance on how to train ever larger models for predictable performance gains. Time series forecasting shares a similar sequential structure to language, and is amenable to large-scal
Externí odkaz:
http://arxiv.org/abs/2405.13867
Autor:
Flöss, Thomas, Coulton, William R., Duivenvoorden, Adriaan J., Villaescusa-Navarro, Francisco, Wandelt, Benjamin D.
Optimal extraction of cosmological information from observations of the Cosmic Microwave Background critically relies on our ability to accurately undo the distortions caused by weak gravitational lensing. In this work, we demonstrate the use of deno
Externí odkaz:
http://arxiv.org/abs/2405.05598
Bias models relating the dark matter field to the spatial distribution of halos are widely used in current cosmological analyses. Many models predict halos purely from the local Eulerian matter density, yet bias models in perturbation theory require
Externí odkaz:
http://arxiv.org/abs/2405.00635
Line intensity mapping (LIM) has emerged as a promising tool for probing the 3D large-scale structure through the aggregate emission of spectral lines. The presence of interloper lines poses a crucial challenge in extracting the signal from the targe
Externí odkaz:
http://arxiv.org/abs/2403.19740
Autor:
Lee, Max E., Genel, Shy, Wandelt, Benjamin D., Zhang, Benjamin, Delgado, Ana Maria, Pandey, Shivam, Lau, Erwin T., Carr, Christopher, Cook, Harrison, Nagai, Daisuke, Angles-Alcazar, Daniel, Villaescusa-Navarro, Francisco, Bryan, Greg L.
Galaxy formation models within cosmological hydrodynamical simulations contain numerous parameters with non-trivial influences over the resulting properties of simulated cosmic structures and galaxy populations. It is computationally challenging to s
Externí odkaz:
http://arxiv.org/abs/2403.10609
Autor:
Jung, Gabriel, Ravenni, Andrea, Liguori, Michele, Baldi, Marco, Coulton, William R., Villaescusa-Navarro, Francisco, Wandelt, Benjamin D.
We apply a suite of different estimators to the Quijote-PNG halo catalogues to find the best approach to constrain Primordial non-Gaussianity (PNG) at non-linear cosmological scales, up to $k_{\rm max} = 0.5 \, h\,{\rm Mpc}^{-1}$. The set of summary
Externí odkaz:
http://arxiv.org/abs/2403.00490
Autor:
Bartlett, Deaglan J., Wandelt, Benjamin D., Zennaro, Matteo, Ferreira, Pedro G., Desmond, Harry
Publikováno v:
A&A 686, A150 (2024)
Rapid and accurate evaluation of the nonlinear matter power spectrum, $P(k)$, as a function of cosmological parameters and redshift is of fundamental importance in cosmology. Analytic approximations provide an interpretable solution, yet current appr
Externí odkaz:
http://arxiv.org/abs/2402.17492
Autor:
Ho, Matthew, Bartlett, Deaglan J., Chartier, Nicolas, Cuesta-Lazaro, Carolina, Ding, Simon, Lapel, Axel, Lemos, Pablo, Lovell, Christopher C., Makinen, T. Lucas, Modi, Chirag, Pandya, Viraj, Pandey, Shivam, Perez, Lucia A., Wandelt, Benjamin, Bryan, Greg L.
Publikováno v:
2024 OJA, Vol. 7
This paper presents the Learning the Universe Implicit Likelihood Inference (LtU-ILI) pipeline, a codebase for rapid, user-friendly, and cutting-edge machine learning (ML) inference in astrophysics and cosmology. The pipeline includes software for im
Externí odkaz:
http://arxiv.org/abs/2402.05137
Autor:
Bartlett, Deaglan J., Kammerer, Lukas, Kronberger, Gabriel, Desmond, Harry, Ferreira, Pedro G., Wandelt, Benjamin D., Burlacu, Bogdan, Alonso, David, Zennaro, Matteo
Publikováno v:
A&A 686, A209 (2024)
Computing the matter power spectrum, $P(k)$, as a function of cosmological parameters can be prohibitively slow in cosmological analyses, hence emulating this calculation is desirable. Previous analytic approximations are insufficiently accurate for
Externí odkaz:
http://arxiv.org/abs/2311.15865