The cross correlation of the ABS and ACT maps
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS 2020:9 (2020) 10
Abstract:
© 2020 IOP Publishing Ltd and Sissa Medialab. One of the most important checks for systematic errors in CMB studies is the cross correlation of maps made by independent experiments. In this paper we report on the cross correlation between maps from the Atacama B-mode Search (ABS) and Atacama Cosmology Telescope (ACT) experiments in both temperature and polarization. These completely different measurements have a clear correlation with each other and with the Planck satellite in both the EE and TE spectra at ℓ<400 over the roughly 0110 deg2 common to all three. The TB, EB, and BB cross spectra are consistent with noise. Exploiting such cross-correlations will be important for future experiments operating in Chile that aim to probe the 30<ℓ<8,000 range.Detecting the anisotropic astrophysical gravitational wave background in the presence of shot noise through cross-correlations
PHYSICAL REVIEW D 102:2 (2020) 23002
Noise angular power spectrum of gravitational wave background experiments
PHYSICAL REVIEW D 101:12 (2020) ARTN 124048
LYACOLORE: synthetic datasets for current and future Lyman-alpha forest BAO surveys
JOURNAL OF COSMOLOGY AND ASTROPARTICLE PHYSICS 2020:3 (2020) 68
Abstract:
© 2020 IOP Publishing Ltd and Sissa Medialab. The statistical power of Lyman-α forest Baryon Acoustic Oscillation (BAO) measurements is set to increase significantly in the coming years as new instruments such as the Dark Energy Spectroscopic Instrument deliver progressively more constraining data. Generating mock datasets for such measurements will be important for validating analysis pipelines and evaluating the effects of systematics. With such studies in mind, we present LyaCoLoRe: A package for producing synthetic Lyman-α forest survey datasets for BAO analyses. LyaCoLoRe transforms initial Gaussian random field skewers into skewers of transmitted flux fraction via a number of fast approximations. In this work we explain the methods of producing mock datasets used in LyaCoLoRe, and then measure correlation functions on a suite of realisations of such data. We demonstrate that we are able to recover the correct BAO signal, as well as large-scale bias parameters similar to literature values. Finally, we briefly describe methods to add further astrophysical effects to our skewers-high column density systems and metal absorbers-which act as potential complications for BAO analyses.Cosmology with Phase 1 of the Square Kilometre Array Red Book 2018: technical specifications and performance forecasts
Publications of the Astronomical Society of Australia Cambridge University Press 37 (2020) e007