Mitigating foreground bias to the CMB lensing power spectrum for a CMB-HD survey
Dongwon Han, Neelima Sehgal
Abstract
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Dongwon Han, Neelima Sehgal
Abstract
Open-access reader
The authors develop a strategy to mitigate two major observational foreground biases introduced in Cosmic Microwave Background (CMB) lensing studies. Using realistic simulations that include extragalactic foregrounds, they show how both the thermal Sunyaev-Zel'dovich effect and the Cosmic Infrared Background can be accounted for, leading to decontaminated CMB temperature maps, which are critical for ensuring future survey effectiveness in establishing the CMB auto spectrum on small scales ($\ensuremath{\le}10k\phantom{\rule{0}{0ex}}p\phantom{\rule{0}{0ex}}c$).
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The authors develop a strategy to mitigate two major observational foreground biases introduced in Cosmic Microwave Background (CMB) lensing studies. Using realistic simulations that include extragalactic foregrounds, they show how both the thermal Sunyaev-Zel'dovich effect and the Cosmic Infrared Background can be accounted for, leading to decontaminated CMB temperature maps, which are critical for ensuring future survey effectiveness in establishing the CMB auto spectrum on small scales ($\ensuremath{\le}10k\phantom{\rule{0}{0ex}}p\phantom{\rule{0}{0ex}}c$).
Key concepts: Cosmic microwave background, Physics, Astrophysics, Cosmic background radiation, Observational cosmology, Cosmic infrared background, COSMIC cancer database, Spectral density