TY - JOUR
T1 - The Simons Observatory
T2 - Pipeline comparison and validation for large-scale B-modes
AU - Wolz, Kevin
AU - Azzoni, Susanna
AU - Hervías-Caimapo, Carlos
AU - Errard, Josquin
AU - Krachmalnicoff, Nicoletta
AU - Alonso, David
AU - Baccigalupi, Carlo
AU - Baleato Lizancos, Antón
AU - Brown, Michael L.
AU - Calabrese, Erminia
AU - Chluba, Jens
AU - Dunkley, Jo
AU - Fabbian, Giulio
AU - Galitzki, Nicholas
AU - Jost, Baptiste
AU - Morshed, Magdy
AU - Nati, Federico
N1 - Publisher Copyright:
© The Authors 2024.
PY - 2024/6/1
Y1 - 2024/6/1
N2 - Context. The upcoming Simons Observatory Small Aperture Telescopes aim at achieving a constraint on the primordial tensor-to-scalar ratio r at the level of σ (r = 0)≤0.003, observing the polarized CMB in the presence of partial sky coverage, cosmic variance, inhomogeneous non-white noise, and Galactic foregrounds. Aims. We present three different analysis pipelines able to constrain r given the latest available instrument performance, and compare their predictions on a set of sky simulations that allow us to explore a number of Galactic foreground models and elements of instrumental noise, relevant for the Simons Observatory. Methods. The three pipelines employ different combinations of parametric and non-parametric component separation at the map and power spectrum levels, and use B-mode purification to estimate the CMB B-mode power spectrum. We applied them to a common set of simulated realistic frequency maps, and compared and validated them with focus on their ability to extract robust constraints on the tensor-to-scalar ratio r. We evaluated their performance in terms of bias and statistical uncertainty on this parameter. Results. In most of the scenarios the three methodologies achieve similar performance. Nevertheless, several simulations with complex foreground signals lead to a > 2σ bias on r if analyzed with the default versions of these pipelines, highlighting the need for more sophisticated pipeline components that marginalize over foreground residuals. We show two such extensions, using power-spectrum-based and map-based methods, that are able to fully reduce the bias on r below the statistical uncertainties in all foreground models explored, at a moderate cost in terms of σ (r).
AB - Context. The upcoming Simons Observatory Small Aperture Telescopes aim at achieving a constraint on the primordial tensor-to-scalar ratio r at the level of σ (r = 0)≤0.003, observing the polarized CMB in the presence of partial sky coverage, cosmic variance, inhomogeneous non-white noise, and Galactic foregrounds. Aims. We present three different analysis pipelines able to constrain r given the latest available instrument performance, and compare their predictions on a set of sky simulations that allow us to explore a number of Galactic foreground models and elements of instrumental noise, relevant for the Simons Observatory. Methods. The three pipelines employ different combinations of parametric and non-parametric component separation at the map and power spectrum levels, and use B-mode purification to estimate the CMB B-mode power spectrum. We applied them to a common set of simulated realistic frequency maps, and compared and validated them with focus on their ability to extract robust constraints on the tensor-to-scalar ratio r. We evaluated their performance in terms of bias and statistical uncertainty on this parameter. Results. In most of the scenarios the three methodologies achieve similar performance. Nevertheless, several simulations with complex foreground signals lead to a > 2σ bias on r if analyzed with the default versions of these pipelines, highlighting the need for more sophisticated pipeline components that marginalize over foreground residuals. We show two such extensions, using power-spectrum-based and map-based methods, that are able to fully reduce the bias on r below the statistical uncertainties in all foreground models explored, at a moderate cost in terms of σ (r).
KW - Cosmic background radiation
KW - Cosmological parameters
KW - Early Universe
KW - Inflation
KW - Methods: data analysis
KW - Methods: statistical
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U2 - 10.1051/0004-6361/202346105
DO - 10.1051/0004-6361/202346105
M3 - Article
AN - SCOPUS:85194357919
SN - 0004-6361
VL - 686
JO - Astronomy and Astrophysics
JF - Astronomy and Astrophysics
M1 - A16
ER -