Likelihood Methods for CMB Experiments
| Autor: | Martina Gerbino, Massimiliano Lattanzi, Marina Migliaccio, Luca Pagano, Laura Salvati, Loris Colombo, Alessandro Gruppuso, Paolo Natoli, Gianluca Polenta |
|---|---|
| Přispěvatelé: | Institut d'astrophysique spatiale (IAS), Université Paris-Sud - Paris 11 (UP11)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Cosmology and Nongalactic Astrophysics (astro-ph.CO)
Materials Science (miscellaneous) media_common.quotation_subject Pipeline (computing) data analysis Cosmic microwave background Biophysics FOS: Physical sciences General Physics and Astronomy Astrophysics::Cosmology and Extragalactic Astrophysics CMB 01 natural sciences NO methods Bias of an estimator unbiased estimator 0103 physical sciences data analysis - methods [PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det] Physical and Theoretical Chemistry 010306 general physics Instrumentation and Methods for Astrophysics (astro-ph.IM) Mathematical Physics media_common CMB likelihood function data analysis - methods parameter estimation CMB statistics Settore FIS/05 Estimation theory Astrophysics::Instrumentation and Methods for Astrophysics Universe lcsh:QC1-999 CMB statistics Sky Data analysis likelihood function [PHYS.ASTR]Physics [physics]/Astrophysics [astro-ph] Astrophysics - Instrumentation and Methods for Astrophysics Likelihood function parameter estimation Algorithm lcsh:Physics Astrophysics - Cosmology and Nongalactic Astrophysics |
| Zdroj: | Frontiers in Physics, Vol 8 (2020) Front.in Phys. Front.in Phys., 2020, 8, pp.15. ⟨10.3389/fphy.2020.00015⟩ |
| DOI: | 10.3389/fphy.2020.00015/full |
| Popis: | A great deal of experimental effort is currently being devoted to the precise measurements of the cosmic microwave background (CMB) sky in temperature and polarisation. Satellites, balloon-borne, and ground-based experiments scrutinize the CMB sky at multiple scales, and therefore enable to investigate not only the evolution of the early Universe, but also its late-time physics with unprecedented accuracy. The pipeline leading from time ordered data as collected by the instrument to the final product is highly structured. Moreover, it has also to provide accurate estimates of statistical and systematic uncertainties connected to the specific experiment. In this paper, we review likelihood approaches targeted to the analysis of the CMB signal at different scales, and to the estimation of key cosmological parameters. We consider methods that analyze the data in the spatial (i.e., pixel-based) or harmonic domain. We highlight the most relevant aspects of each approach and compare their performance. 71 pages, 5 figures. Matching version to be published in Frontiers in Physics, section Cosmology, as a contribution to the collection "Status and Prospects of Cosmic Microwave Background Analysis" |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|