The Simons Observatory: gain, bandpass and polarization-angle calibration requirements for B-mode searches
Maximilian H. Abitbol, David Alonso, Sara M. Simon, Jack Lashner,, Kevin T. Crowley, Aamir M. Ali, Susanna Azzoni, Carlo Baccigalupi, Darcy, Barron, Michael L. Brown, Erminia Calabrese, Julien Carron, Yuji Chinone,, Jens Chluba, Gabriele Coppi, Kevin D. Crowley, Mark Devlin

TL;DR
This paper defines the calibration precision needed for the Simons Observatory to accurately measure the primordial B-mode polarization, analyzing how systematic uncertainties impact the tensor-to-scalar ratio and final cosmological constraints.
Contribution
It provides quantitative calibration requirements for gain, bandpass, and polarization angles, and assesses their impact on cosmological parameter estimation in B-mode searches.
Findings
Gain and bandpass must be known to percent levels.
Polarization angles need calibration to a few tenths of a degree.
Residual uncertainties minimally affect the tensor-to-scalar ratio constraints.
Abstract
We quantify the calibration requirements for systematic uncertainties for next-generation ground-based observatories targeting the large-angle -mode polarization of the Cosmic Microwave Background, with a focus on the Simons Observatory (SO). We explore uncertainties on gain calibration, bandpass center frequencies, and polarization angles, including the frequency variation of the latter across the bandpass. We find that gain calibration and bandpass center frequencies must be known to percent levels or less to avoid biases on the tensor-to-scalar ratio on the order of , in line with previous findings. Polarization angles must be calibrated to the level of a few tenths of a degree, while their frequency variation between the edges of the band must be known to degrees. Given the tightness of these calibration requirements, we explore the level…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
