Unveiling acoustic physics of the CMB using nonparametric estimation of the temperature angular power spectrum for Planck
Amir Aghamousa, Arman Shafieloo, Mihir Arjunwadkar, Tarun Souradeep

TL;DR
This paper introduces a model-independent, nonparametric method to estimate the CMB temperature power spectrum from Planck data, resolving acoustic peaks and testing the ΛCDM model's consistency.
Contribution
It presents a novel nonparametric estimation approach for the CMB power spectrum that does not rely on specific models and assesses the ΛCDM model's fit to Planck data.
Findings
Resolved six peaks and five dips in the spectrum.
Found the ΛCDM model at 36% confidence distance from the nonparametric estimate.
Planck data show no low-multipole upturn, contrary to ΛCDM expectations.
Abstract
Estimation of the angular power spectrum is one of the important steps in Cosmic Microwave Background (CMB) data analysis. Here, we present a nonparametric estimate of the temperature angular power spectrum for the Planck 2013 CMB data. The method implemented in this work is model-independent, and allows the data, rather than the model, to dictate the fit. Since one of the main targets of our analysis is to test the consistency of the CDM model with Planck 2013 data, we use the nuisance parameters associated with the best-fit CDM angular power spectrum to remove foreground contributions from the data at multipoles . We thus obtain a combined angular power spectrum data set together with the full covariance matrix, appropriately weighted over frequency channels. Our subsequent nonparametric analysis resolves six peaks (and five dips) up to …
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