Mitigating Foreground Bias to the CMB Lensing Power Spectrum for a CMB-HD Survey
Dongwon Han, Neelima Sehgal

TL;DR
This paper presents a strategy to mitigate foreground biases in CMB lensing measurements from the CMB-HD survey, enabling precise small-scale matter distribution analysis and distinguishing dark matter models.
Contribution
The paper introduces a foreground mitigation method specifically targeting tSZ and CIB effects, improving the accuracy of small-scale CMB lensing measurements.
Findings
tSZ bias is 0.6 sigma without mitigation
CIB bias is 1.1 sigma without mitigation
Combined foregrounds bias is 1.3 sigma, enabling model distinction at 5 sigma
Abstract
A promising way to measure the distribution of matter on small scales (k ~ 10 hMpc^-1) is to use gravitational lensing of the Cosmic Microwave Background (CMB). CMB-HD, a proposed high-resolution, low-noise millimeter survey over half the sky, can measure the CMB lensing auto spectrum on such small scales enabling measurements that can distinguish between a cold dark matter (CDM) model and alternative models designed to solve problems with CDM on small scales. However, extragalactic foregrounds can bias the CMB lensing auto spectrum if left untreated. We present a foreground mitigation strategy that provides a path to reduce the bias from two of the most dominant foregrounds, the thermal Sunyaev-Zel'dovich effect (tSZ) and the Cosmic Infrared Background (CIB). Given the level of realism included in our analysis, we find that the tSZ alone and the CIB alone bias the lensing auto spectrum…
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Taxonomy
TopicsRadio Astronomy Observations and Technology · Galaxies: Formation, Evolution, Phenomena · Cosmology and Gravitation Theories
