CMB-HD Foregrounds: Simulations, Source Detection, and Foreground Removal

arXiv:2609.16128 · astro-ph.CO, hep-ph · Submitted 2026-09-14 · Read on arXiv

astro-ph.CO, hep-ph

Submitted: 2026-09-14

Updated: 2026-09-14

Comments: 35 pages, 19 figures, 8 tables. The simulations are available at https://lambda.gsfc.nasa.gov/simulation/ultrahigh_resolution_sims.html , the simulation code is available at https://github.com/CMB-HD/hdsims , and the foreground cleaning code is available at https://github.com/CMB-HD/hdfgclean

Code: https://github.com/CMB-HD/hdsims

License: http://creativecommons.org/licenses/by/4.0/

The gist: We present simulations of the microwave sky at 2.5 arcsecond resolution over 100 square degrees, generated from existing full-sky, lower-resolution simulations, and use them to demonstrate

Terminology

Abstract

We present simulations of the microwave sky at 2.5 arcsecond resolution over 100 square degrees, generated from existing full-sky, lower-resolution simulations, and use them to demonstrate extragalactic foreground removal for a CMB-HD survey. Our cleaning method detects and removes the cosmic infrared background and radio galaxies, yielding source catalogs that are 95% complete down to flux limits of 0.008 and 0.04 mJy at 90 and 148 GHz, respectively. It also identifies and removes galaxy clusters via the thermal Sunyaev-Zel'dovich effect, producing a cluster sample that is nearly complete above M 500c = 5 times 10 13 M. After cleaning, the residual foreground-plus-noise power spectrum of the coadded 90 and 148 GHz temperature map is 50% higher than previous idealized estimates, increasing cosmological parameter uncertainties for an 11-parameter Λ CDM + N eff + sum m ν + T AGN + A kSZ + n kSZ model by less than 7%. The small impact on cosmological parameters reflects the strong constraining power of CMB polarization, the temperature-polarization cross spectra, and CMB lensing spectra reconstructed from polarization-only estimators, all of which are minimally affected by extragalactic foregrounds. In particular, the survey remains a sensitive probe of light thermal relic particles, achieving σ(N eff) = 0.0154, which can exclude any new species (ΔN eff 0.027) with at least 90% confidence. Our simulation and foreground-removal codes are publicly available and should aid the development of analysis pipelines for ultradeep, ultrahigh-resolution microwave surveys.

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