High-precision Monte-Carlo modelling of galaxy distribution
| Autor: | Anne Ealet, Philippe Baratta, Julien Bel, Stéphane Plaszczynski |
|---|---|
| Přispěvatelé: | Centre de Physique des Particules de Marseille (CPPM), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Aix Marseille Université (AMU), Centre de Physique Théorique - UMR 7332 (CPT), Aix Marseille Université (AMU)-Université de Toulon (UTLN)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Institut de Physique Nucléaire de Lyon (IPNL), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Aix Marseille Université (AMU)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Physics
methods: statistical Cosmology and Nongalactic Astrophysics (astro-ph.CO) Field (physics) 010308 nuclear & particles physics Monte Carlo method FOS: Physical sciences Spectral density Astronomy and Astrophysics Astrophysics Function (mathematics) Covariance 01 natural sciences Space and Planetary Science Aliasing Light cone 0103 physical sciences Statistical physics Nyquist frequency large-scale structure of Universe [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] 010303 astronomy & astrophysics Astrophysics - Cosmology and Nongalactic Astrophysics |
| Zdroj: | Astron.Astrophys. Astron.Astrophys., 2020, 633, pp.A26. ⟨10.1051/0004-6361/201936163⟩ Astronomy and Astrophysics-A&A Astronomy and Astrophysics-A&A, EDP Sciences, 2020, 633, pp.A26. ⟨10.1051/0004-6361/201936163⟩ Astronomy and Astrophysics-A&A, 2020, 633, pp.A26. ⟨10.1051/0004-6361/201936163⟩ |
| ISSN: | 0004-6361 |
| Popis: | International audience; We revisit the case of fast Monte Carlo simulations of galaxy positions for a non-Gaussian field. More precisely, we address the question of generating a 3D field with a given one-point function (e.g. log-normal) and some power spectrum fixed by cosmology. We highlight and investigate a problem that occurs in the log-normal case when the field is filtered, and we identify a regime where this approximation still holds. However, we show that the filtering is unnecessary if aliasing effects are taken into account and the discrete sampling step is carefully controlled. In this way we demonstrate a sub-percent precision of all our spectra up to the Nyquist frequency. We extend the method to generate a full light cone evolution, comparing two methods for this process, and validate our method with a tomographic analysis. We analytically and numerically investigate the structure of the covariance matrices obtained with such simulations which may be useful for future large and deep surveys.Key words: large-scale structure of Universe / methods: statistical |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|