Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.12386/30783
Title: | Comparing approximate methods for mock catalogues and covariance matrices - III: bispectrum | Authors: | Colavincenzo, Manuel SEFUSATTI, Emiliano Monaco, Pierluigi Blot, Linda Crocce, Martin Lippich, Martha Sánchez, Ariel G. Alvarez, Marcelo A. Agrawal, Aniket Avila, Santiago Balaguera-Antolínez, Andrés Bond, Richard Codis, Sandrine Dalla Vecchia, Claudio Dorta, Antonio Fosalba, Pablo Izard, Albert Kitaura, Francisco-Shu Pellejero-Ibanez, Marcos Stein, George Vakili, Mohammadjavad Yepes, Gustavo |
Issue Date: | 2019 | Journal: | MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY | Number: | 482 | Issue: | 4 | First Page: | 4883 | Abstract: | We compare the measurements of the bispectrum and the estimate of its covariance obtained from a set of different methods for the efficient generation of approximate dark matter halo catalogues to the same quantities obtained from full N-body simulations. To this purpose we employ a large set of 300 realizations of the same cosmology for each method, run with matching initial conditions in order to reduce the contribution of cosmic variance to the comparison. In addition, we compare how the error on cosmological parameters such as linear and non-linear bias parameters depends on the approximate method used for the determination of the bispectrum variance. As general result, most methods provide errors within 10 per cent of the errors estimated from N-body simulations. Exceptions are those methods requiring calibration of the clustering amplitude but restrict this to 2-point statistics. Finally we test how our results are affected by being limited to a few hundreds measurements from N-body simulation by comparing with a larger set of several thousands of realizations performed with one approximate method. | URI: | http://hdl.handle.net/20.500.12386/30783 | URL: | https://academic.oup.com/mnras/article/482/4/4883/5154941 | ISSN: | 0035-8711 | DOI: | 10.1093/mnras/sty2964 | Bibcode ADS: | 2019MNRAS.482.4883C | Fulltext: | open |
Appears in Collections: | 1.01 Articoli in rivista |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
sty2964-compressed.pdf | Pdf editoriale | 5.89 MB | Adobe PDF | View/Open |
Page view(s)
35
checked on Apr 23, 2024
Download(s)
13
checked on Apr 23, 2024
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are published in Open Access, unless otherwise indicated.