Bias-Limited Extraction of Cosmological Parameters
Meir Shimon, Nissan Itzhaki, Yoel Rephaeli

TL;DR
This paper quantifies how modeling uncertainties can bias cosmological parameter estimates and establishes the required precision levels for future surveys to avoid significant bias, highlighting the formidable challenge of achieving such accuracy.
Contribution
It introduces a quantitative framework linking bias levels to the number of modes sampled, setting stringent precision requirements for future cosmological measurements.
Findings
Bias in parameters scales as $O(N^{-1/2})$ with the number of modes.
Future surveys need extremely high precision, up to $10^{-7}$, to avoid bias.
Achieving these precision levels is a significant technical challenge.
Abstract
It is known that modeling uncertainties and astrophysical foregrounds can potentially introduce appreciable bias in the deduced values of cosmological parameters. While it is commonly assumed that these uncertainties will be accounted for to a sufficient level of precision, the level of bias has not been properly quantified in most cases of interest. We show that the requirement that the bias in derived values of cosmological parameters does not surpass nominal statistical error, translates into a maximal level of overall error on and , where , , and are the matter power spectrum, angular power spectrum, and number of (independent Fourier) modes at a given scale or probed by the cosmological survey, respectively. This required level has important consequences on the precision with which cosmological…
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