scholarly journals DES Y1 Results: validating cosmological parameter estimation using simulated Dark Energy Surveys

2018 ◽  
Vol 480 (4) ◽  
pp. 4614-4635 ◽  
Author(s):  
N MacCrann ◽  
J DeRose ◽  
R H Wechsler ◽  
J Blazek ◽  
E Gaztanaga ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Dark Energy ◽  
Cosmological Parameter

scholarly journals Cosmological Parameter Estimation for Dynamical Dark Energy Models with Future Fast Radio Burst Observations

2020 ◽  
Vol 903 (2) ◽  
pp. 83 ◽  
Author(s):  
Ze-Wei Zhao ◽  
Zheng-Xiang Li ◽  
Jing-Zhao Qi ◽  
He Gao ◽  
Jing-Fei Zhang ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Dark Energy ◽  
Radio Burst ◽  
Cosmological Parameter ◽  
Energy Models ◽  
Fast Radio Burst ◽  
Dynamical Dark Energy

scholarly journals The biasing of baryons on the cluster mass function and cosmological parameter estimation

2014 ◽  
Vol 440 (3) ◽  
pp. 2290-2299 ◽  
Author(s):  
Davide Martizzi ◽  
Irshad Mohammed ◽  
Romain Teyssier ◽  
Ben Moore
Keyword(s):  
Parameter Estimation ◽  
Mass Function ◽  
Cosmological Parameter ◽  
Cluster Mass

scholarly journals Cosmological parameter estimation using Very Small Array data out to ℓ= 1500

2004 ◽  
Vol 353 (3) ◽  
pp. 747-759 ◽  
Author(s):  
Rafael Rebolo ◽  
Richard A. Battye ◽  
Pedro Carreira ◽  
Kieran Cleary ◽  
Rod D. Davies ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Cosmological Parameter ◽  
Array Data ◽  
Small Array

scholarly journals Fast cosmological parameter estimation using neural networks

2007 ◽  
Vol 376 (1) ◽  
pp. L11-L15 ◽  
Author(s):  
T. Auld ◽  
M. Bridges ◽  
M. P. Hobson ◽  
S. F. Gull
Keyword(s):  
Neural Networks ◽  
Parameter Estimation ◽  
Cosmological Parameter

scholarly journals Cosmic Bayes. Datasets and priors in the hunt for dark energy

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Michela Massimi
Keyword(s):  
Parameter Estimation ◽  
Dark Energy ◽  
Model Selection ◽  
Bayesian Methods ◽  
Cosmological Parameters ◽  
Observational Cosmology ◽  
Dark Energy Survey ◽  
Bayesian Priors ◽  
Energy Survey ◽  
And Task

AbstractBayesian methods are ubiquitous in contemporary observational cosmology. They enter into three main tasks: (I) cross-checking datasets for consistency; (II) fixing constraints on cosmological parameters; and (III) model selection. This article explores some epistemic limits of using Bayesian methods. The first limit concerns the degree of informativeness of the Bayesian priors and an ensuing methodological tension between task (I) and task (II). The second limit concerns the choice of wide flat priors and related tension between (II) parameter estimation and (III) model selection. The Dark Energy Survey (DES) and its recent Year 1 results illustrate both these limits concerning the use of Bayesianism.

scholarly journals Cosmological Parameter Estimation Using 21 cm Radiation from the Epoch of Reionization

2006 ◽  
Vol 653 (2) ◽  
pp. 815-834 ◽  
Author(s):  
Matthew McQuinn ◽  
Oliver Zahn ◽  
Matias Zaldarriaga ◽  
Lars Hernquist ◽  
Steven R. Furlanetto
Keyword(s):  
Parameter Estimation ◽  
Cosmological Parameter
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