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PreprintCC BY 4.0arXiv

Enhancing Cosmological Constraints from Foreground-Cleaned CMB Maps Using Large-Scale Structure Surveys

Abstract

Extragalactic foregrounds contaminate cosmic microwave background (CMB) temperature maps at small angular scales and limit their utility for precision cosmology. The internal linear combination (ILC) is a well-known technique for suppressing these contaminants, but residual foreground power remains a limiting factor. Kusiak et al. (2023) proposed adding galaxy number-density maps as additional ILC channels, exploiting their correlation with the large-scale structure sourcing these foregrounds to suppress contamination. Here we apply this framework to forecast the gains in CMB-based cosmological parameter constraints from near- and next-generation experiments. Using a halo-model foreground pipeline and a Fisher forecast from joint TT+TE+EE power spectra, we quantify the improvement from galaxy-tracer-assisted ILC cleaning across three configurations: enhanced Simons Observatory (SO) with unWISE or Rubin-like galaxy catalogs, and a futuristic CMB-HD configuration with a hypothetical deep galaxy survey. We find that adding galaxy tracers reduces the residual foreground power in the cleaned temperature map by ∼4%, ∼22%, and ∼32% at ℓ∼10,000 for the unWISE, Rubin-like, and futuristic samples, respectively. For the overall variance of the cleaned map at ℓ∼10,000, it provides 8%, 24%, and 17% improvements for each combination. The resulting reduction in marginalized parameter error bars is modest for the base six-parameter ΛCDM model: sub-percent for SO+unWISE, rising to ∼2% for SO+Rubin-like tracer. Including the effective number of relativistic species Neff, we find at most 2.2% improvements for both SO+Rubin-like and CMB-HD+Futuristic tracer. These results establish the expected gains from combining near-term CMB experiments with current and forthcoming large-scale-structure surveys.

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BibTeX
@misc{chen2026enhancing,
  title = {{Enhancing Cosmological Constraints from Foreground-Cleaned CMB Maps Using Large-Scale Structure Surveys}},
  author = {Shu-Fan Chen and J. Colin Hill},
  howpublished = {arXiv},
  year = {2026},
  month = aug,
  doi = {10.48550/arxiv.2608.28487},
  eprint = {2608.28487},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2608.28487},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Enhancing Cosmological Constraints from Foreground-Cleaned CMB Maps Using Large-Scale Structure Surveys
AU  - Shu-Fan Chen
AU  - J. Colin Hill
PY  - 2026
DA  - 2026/08/28
PB  - arXiv
DO  - 10.48550/arxiv.2608.28487
UR  - https://arxiv.org/abs/2608.28487
AB  - Extragalactic foregrounds contaminate cosmic microwave background (CMB) temperature maps at small angular scales and limit their utility for precision cosmology. The internal linear combination (ILC) is a well-known technique for suppressing these contaminants, but residual foreground power remains a limiting factor. Kusiak et al. (2023) proposed adding galaxy number-density maps as additional ILC channels, exploiting their correlation with the large-scale structure sourcing these foregrounds to suppress contamination. Here we apply this framework to forecast the gains in CMB-based cosmological parameter constraints from near- and next-generation experiments. Using a halo-model foreground pipeline and a Fisher forecast from joint TT+TE+EE power spectra, we quantify the improvement from galaxy-tracer-assisted ILC cleaning across three configurations: enhanced Simons Observatory (SO) with unWISE or Rubin-like galaxy catalogs, and a futuristic CMB-HD configuration with a hypothetical deep galaxy survey. We find that adding galaxy tracers reduces the residual foreground power in the cleaned temperature map by ∼4%, ∼22%, and ∼32% at ℓ∼10,000 for the unWISE, Rubin-like, and futuristic samples, respectively. For the overall variance of the cleaned map at ℓ∼10,000, it provides 8%, 24%, and 17% improvements for each combination. The resulting reduction in marginalized parameter error bars is modest for the base six-parameter ΛCDM model: sub-percent for SO+unWISE, rising to ∼2% for SO+Rubin-like tracer. Including the effective number of relativistic species N_eff, we find at most 2.2% improvements for both SO+Rubin-like and CMB-HD+Futuristic tracer. These results establish the expected gains from combining near-term CMB experiments with current and forthcoming large-scale-structure surveys.
ER  -