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| Auteurs principaux: | , , , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2502.20801 |
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| _version_ | 1866913957756796928 |
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| author | Doohan, M. Millea, M. Raghunathan, S. Ge, F. Knox, L. Prabhu, K. Reichardt, C. L. Wu, W. L. K. |
| author_facet | Doohan, M. Millea, M. Raghunathan, S. Ge, F. Knox, L. Prabhu, K. Reichardt, C. L. Wu, W. L. K. |
| contents | We estimate the magnitude of the bias due to non-Gaussian extragalactic foregrounds on the optimal reconstruction of the cosmic microwave background (CMB) lensing potential and temperature power spectra. The reconstruction is performed using a Bayesian inference method known as the marginal unbiased score expansion (MUSE). We apply MUSE to a minimum variance combination of multifrequency maps drawn from the Agora publicly available simulations of the lensed CMB and correlated extragalactic foreground emission. Taking noise levels appropriate to the SPT-3G D1 release, we find non-Gaussian foregrounds may bias the MUSE reconstruction of the lensing potential amplitude at the level of $(0.7\pm 0.3)\,σ$ when using modes up to $\ell_{max}=3500$. We do not detect a statistically significant bias, finding a value of $(-0.4\pm 0.3)\,σ$, when restricted to lower angular multipoles, $\ell_{max}=3000$. This work is a first step toward understanding the impact of extragalactic foregrounds on optimal reconstructions of CMB temperature and lensing potential power spectra. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_20801 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Quantifying Bias due to non-Gaussian Foregrounds in an Optimal Reconstruction of CMB Lensing and Temperature Power Spectra Doohan, M. Millea, M. Raghunathan, S. Ge, F. Knox, L. Prabhu, K. Reichardt, C. L. Wu, W. L. K. Cosmology and Nongalactic Astrophysics We estimate the magnitude of the bias due to non-Gaussian extragalactic foregrounds on the optimal reconstruction of the cosmic microwave background (CMB) lensing potential and temperature power spectra. The reconstruction is performed using a Bayesian inference method known as the marginal unbiased score expansion (MUSE). We apply MUSE to a minimum variance combination of multifrequency maps drawn from the Agora publicly available simulations of the lensed CMB and correlated extragalactic foreground emission. Taking noise levels appropriate to the SPT-3G D1 release, we find non-Gaussian foregrounds may bias the MUSE reconstruction of the lensing potential amplitude at the level of $(0.7\pm 0.3)\,σ$ when using modes up to $\ell_{max}=3500$. We do not detect a statistically significant bias, finding a value of $(-0.4\pm 0.3)\,σ$, when restricted to lower angular multipoles, $\ell_{max}=3000$. This work is a first step toward understanding the impact of extragalactic foregrounds on optimal reconstructions of CMB temperature and lensing potential power spectra. |
| title | Quantifying Bias due to non-Gaussian Foregrounds in an Optimal Reconstruction of CMB Lensing and Temperature Power Spectra |
| topic | Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2502.20801 |