BoloCalc: a sensitivity calculator for the design of Simons Observatory
Charles A. Hill, Sarah Marie M. Bruno, Sara M. Simon, Aamir Ali, Kam, S. Arnold, Peter C. Ashton, Darcy Barron, Sean Bryan, Yuji Chinone, Gabriele, Coppi, Kevin T. Crowley, Ari Cukierman, Simon Dicker, Jo Dunkley, Giulio, Fabbian, Nicholas Galitzki, Patricio A. Gallardo

TL;DR
BoloCalc is a Python-based sensitivity calculator designed to optimize the design of the Simons Observatory by modeling various instrumental and observational parameters to predict on-sky noise performance.
Contribution
It introduces a comprehensive, modular sensitivity calculator that incorporates detector correlations, bandpass variations, and parameter uncertainties for CMB instrument design.
Findings
Informed the SO design process effectively.
Enabled rapid evaluation of design trade-offs.
Can be adapted for future CMB experiments.
Abstract
The Simons Observatory (SO) is an upcoming experiment that will study temperature and polarization fluctuations in the cosmic microwave background (CMB) from the Atacama Desert in Chile. SO will field both a large aperture telescope (LAT) and an array of small aperture telescopes (SATs) that will observe in six bands with center frequencies spanning from 27 to 270~GHz. Key considerations during the SO design phase are vast, including the number of cameras per telescope, focal plane magnification and pixel density, in-band optical power and camera throughput, detector parameter tolerances, and scan strategy optimization. To inform the SO design in a rapid, organized, and traceable manner, we have created a Python-based sensitivity calculator with several state-of-the-art features, including detector-to-detector optical white-noise correlations, a handling of simulated and measured…
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.
Code & Models
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
