Bayesian noise wave calibration for 21-cm global experiments

نویسندگان

چکیده

ABSTRACT Detection of millikelvin-level signals from the ‘Cosmic Dawn’ requires an unprecedented level sensitivity and systematic calibration. We report theory behind a novel calibration algorithm developed formalism introduced by EDGES collaboration for use in 21-cm experiments. Improvements over previous approaches are provided through incorporation Bayesian framework machine learning techniques such as evidence to determine frequency variation parameters that is supported data, consideration correlation between when determining their values, conjugate-prior based approach results fast application field. In self-consistency tests using empirical data models varying complexity, our methodology used calibrate 50 Ω ambient-temperature load. The RMS error solution measured temperature load 8 mK, well within 1 σ noise level. Whilst methods described here more applicable global experiments, they can easily be adapted applied other applications, including telescopes HERA SKA.

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ژورنال

عنوان ژورنال: Monthly Notices of the Royal Astronomical Society

سال: 2021

ISSN: ['0035-8711', '1365-8711', '1365-2966']

DOI: https://doi.org/10.1093/mnras/stab1453