Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Charnock Tom"'
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
Publikováno v:
EPJ Web of Conferences, Vol 216, p 03004 (2019)
The detection of air-shower events via radio signals requires the development of a trigger algorithm for clean discrimination between signal and background events in order to reduce the data stream coming from false triggers. In this contribution we
Externí odkaz:
https://doaj.org/article/07896dd2eddb441b8fe0f52a6d5fd319
Autor:
Makinen, T. Lucas, Charnock, Tom, Lemos, Pablo, Porqueres, Natalia, Heavens, Alan, Wandelt, Benjamin D.
We present an implicit likelihood approach to quantifying cosmological information over discrete catalogue data, assembled as graphs. To do so, we explore cosmological parameter constraints using mock dark matter halo catalogues. We employ Informatio
Externí odkaz:
http://arxiv.org/abs/2207.05202
We present a comparison of simulation-based inference to full, field-based analytical inference in cosmological data analysis. To do so, we explore parameter inference for two cases where the information content is calculable analytically: Gaussian r
Externí odkaz:
http://arxiv.org/abs/2107.07405
Publikováno v:
Astronomy & Astrophysics, Volume 652, id.A62, 23 pp. August 2021
Current models of galaxy evolution are constrained by the analysis of catalogs containing the flux and size of galaxies extracted from multiband deep fields carrying inevitable observational and extraction-related biases which can be highly correlate
Externí odkaz:
http://arxiv.org/abs/2102.01086
In recent times, neural networks have become a powerful tool for the analysis of complex and abstract data models. However, their introduction intrinsically increases our uncertainty about which features of the analysis are model-related and which ar
Externí odkaz:
http://arxiv.org/abs/2006.01490
Autor:
Margalef-Bentabol, Berta, Huertas-Company, Marc, Charnock, Tom, Margalef-Bentabol, Carla, Bernardi, Mariangela, Dubois, Yohan, Storey-Fisher, Kate, Zanis, Lorenzo
With the advent of future big-data surveys, automated tools for unsupervised discovery are becoming ever more necessary. In this work, we explore the ability of deep generative networks for detecting outliers in astronomical imaging datasets. The mai
Externí odkaz:
http://arxiv.org/abs/2003.08263
We present an extension of our recently developed Wasserstein optimized model to emulate accurate high-resolution features from computationally cheaper low-resolution cosmological simulations. Our deep physical modelling technique relies on restricte
Externí odkaz:
http://arxiv.org/abs/2001.05519
Autor:
Charnock, Tom, Lavaux, Guilhem, Wandelt, Benjamin D., Boruah, Supranta Sarma, Jasche, Jens, Hudson, Michael J.
An ambitious goal in cosmology is to forward-model the observed distribution of galaxies in the nearby Universe today from the initial conditions of large-scale structures. For practical reasons, the spatial resolution at which this can be done is ne
Externí odkaz:
http://arxiv.org/abs/1909.06379
Autor:
Villaescusa-Navarro, Francisco, Hahn, ChangHoon, Massara, Elena, Banerjee, Arka, Delgado, Ana Maria, Ramanah, Doogesh Kodi, Charnock, Tom, Giusarma, Elena, Li, Yin, Allys, Erwan, Brochard, Antoine, Uhlemann, Cora, Chiang, Chi-Ting, He, Siyu, Pisani, Alice, Obuljen, Andrej, Feng, Yu, Castorina, Emanuele, Contardo, Gabriella, Kreisch, Christina D., Nicola, Andrina, Alsing, Justin, Scoccimarro, Roman, Verde, Licia, Viel, Matteo, Ho, Shirley, Mallat, Stephane, Wandelt, Benjamin, Spergel, David N.
Publikováno v:
APJS, 250, 2, (2020)
The Quijote simulations are a set of 44,100 full N-body simulations spanning more than 7,000 cosmological models in the $\{\Omega_{\rm m}, \Omega_{\rm b}, h, n_s, \sigma_8, M_\nu, w \}$ hyperplane. At a single redshift the simulations contain more th
Externí odkaz:
http://arxiv.org/abs/1909.05273