Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Bayesian evidence-driven diagnosis of instrumental systematics for
  sky-averaged 21-cm cosmology experiments   We demonstrate the effectiveness of a Bayesian evidence-based analysis for
diagnosing and disentangling the sky-averaged 21-cm signal from instrumental
systematic effects. As a case study, we consider a simulated REACH pipeline
with an injected systematic. We demonstrate that very poor performance or
erroneous signal recovery is achieved if the systematic remains unmodelled.
These effects include sky-averaged 21-cm posterior estimates resembling a very
deep or wide signal. However, when including parameterised models of the
systematic, the signal recovery is dramatically improved in performance. Most
importantly, a Bayesian evidence-based model comparison is capable of
determining whether or not such a systematic model is needed as the true
underlying generative model of an experimental dataset is in principle unknown.
We, therefore, advocate a pipeline capable of testing a variety of potential
systematic errors with the Bayesian evidence acting as the mechanism for
detecting their presence.

8
The categories of this paper are: hep-ex
2
The categories of this paper are: math
31
The categories of this paper are: ao-sci
26
The categories of this paper are: bayes-an
35
The categories of this paper are: mtrl-th
14
The categories of this paper are: math-ph
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
19
The categories of this paper are: eess
9
The categories of this paper are: nlin
7
The categories of this paper are: hep-th
25
The categories of this paper are: patt-sol
11
The categories of this paper are: hep-lat
17
The categories of this paper are: q-fin
1
The categories of this paper are: cs
24
The categories of this paper are: dg-ga