Zobrazeno 1 - 10
of 387
pro vyhledávání: '"Cole, Alex"'
Persistent homology naturally addresses the multi-scale topological characteristics of the large-scale structure as a distribution of clusters, loops, and voids. We apply this tool to the dark matter halo catalogs from the Quijote simulations, and bu
Externí odkaz:
http://arxiv.org/abs/2403.13985
Autor:
Saxena, Anchal, Cole, Alex, Gazagnes, Simon, Meerburg, P. Daniel, Weniger, Christoph, Witte, Samuel J.
Publikováno v:
MNRAS 525 (2023) 6097-6111
Cosmic Dawn (CD) and Epoch of Reionization (EoR) are epochs of the Universe which host invaluable information about the cosmology and astrophysics of X-ray heating and hydrogen reionization. Radio interferometric observations of the 21-cm line at hig
Externí odkaz:
http://arxiv.org/abs/2303.07339
Publikováno v:
JCAP10(2022)002
We study the information content of summary statistics built from the multi-scale topology of large-scale structures on primordial non-Gaussianity of the local and equilateral type. We use halo catalogs generated from numerical N-body simulations of
Externí odkaz:
http://arxiv.org/abs/2203.08262
Identifying string theory vacua with desired physical properties at low energies requires searching through high-dimensional solution spaces - collectively referred to as the string landscape. We highlight that this search problem is amenable to rein
Externí odkaz:
http://arxiv.org/abs/2111.11466
Autor:
Cole, Alex, Miller, Benjamin Kurt, Witte, Samuel J., Cai, Maxwell X., Grootes, Meiert W., Nattino, Francesco, Weniger, Christoph
Sampling-based inference techniques are central to modern cosmological data analysis; these methods, however, scale poorly with dimensionality and typically require approximate or intractable likelihoods. In this paper we describe how Truncated Margi
Externí odkaz:
http://arxiv.org/abs/2111.08030
Parametric stochastic simulators are ubiquitous in science, often featuring high-dimensional input parameters and/or an intractable likelihood. Performing Bayesian parameter inference in this context can be challenging. We present a neural simulation
Externí odkaz:
http://arxiv.org/abs/2107.01214
We discuss some implications of recent progress in understanding the black hole information paradox for complementarity in de Sitter space. Extending recent work by two of the authors, we describe a bulk procedure that allows information expelled thr
Externí odkaz:
http://arxiv.org/abs/2105.12737
We present a pipeline for characterizing and constraining initial conditions in cosmology via persistent homology. The cosmological observable of interest is the cosmic web of large scale structure, and the initial conditions in question are non-Gaus
Externí odkaz:
http://arxiv.org/abs/2012.03616
We apply persistent homology to the task of discovering and characterizing phase transitions, using lattice spin models from statistical physics for working examples. Persistence images provide a useful representation of the homological data for cond
Externí odkaz:
http://arxiv.org/abs/2012.00783