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CMB Lensing Power Spectrum Biases from Galaxies and Clusters using High-angular Resolution Temperature Maps

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arxiv 1310.7023 v1 pith:FWSC5X26 submitted 2013-10-25 astro-ph.CO

classification astro-ph.CO
keywords lensingbiaseslevelpercentbiasclustersgalaxiespower
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The lensing power spectrum from cosmic microwave background (CMB) temperature maps will be measured with unprecedented precision with upcoming experiments, including upgrades to ACT and SPT. Achieving significant improvements in cosmological parameter constraints, such as percent level errors on sigma_8 and an uncertainty on the total neutrino mass of approximately 50 meV, requires percent level measurements of the CMB lensing power. This necessitates tight control of systematic biases. We study several types of biases to the temperature-based lensing reconstruction signal from foreground sources such as radio and infrared galaxies and the thermal Sunyaev-Zel'dovich effect from galaxy clusters. These foregrounds bias the CMB lensing signal due to their non-Gaussian nature. Using simulations as well as some analytical models we find that these sources can substantially impact the measured signal if left untreated. However, these biases can be brought to the percent level if one masks galaxies with fluxes at 150 GHz above 1 mJy and galaxy clusters with masses above M_vir = 10^14 M_sun. To achieve such percent level bias, we find that only modes up to a maximum multipole of l_max ~ 2500 should be included in the lensing reconstruction. We also discuss ways to minimize additional bias induced by such aggressive foreground masking by, for example, exploring a two-step masking and in-painting algorithm.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Learning Correlated Astrophysical Foregrounds with Denoising Diffusion Probabilistic Models

    astro-ph.CO 2025-06 conditional novelty 6.0 of 10

    A denoising diffusion model trained on Agora simulations generates correlated CIB and tSZ foreground patches that reproduce 2-, 3-, and 4-point statistics, histograms, and Minkowski functionals.

  2. Wavelet Flow For Extragalactic Foreground Simulations

    astro-ph.CO 2025-05 conditional novelty 6.0 of 10

    A Wavelet Flow generative model jointly produces CMB lensing convergence and cosmic infrared background maps whose power spectra and Minkowski functionals match the training simulation within a few percent.

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