A simplified, lossless re-analysis of PAPER-64
Matthew Kolopanis, Daniel C. Jacobs, Carina Cheng, Aaron R. Parsons,, Saul A. Kohn, Jonathan C. Pober, James E. Aguirre, Zaki S. Ali, Gianni, Bernardi, Richard F. Bradley, Christopher L. Carilli, David R. DeBoer,, Matthew Dexter, Joshua S. Dillon, Joshua Kerrigan, Patricia Klima

TL;DR
This paper presents a simplified, lossless re-analysis of PAPER-64 data, providing new upper limits on the 21cm power spectrum from the Epoch of Reionization using an independent pipeline that minimizes signal loss.
Contribution
It introduces a lossless, linear Fourier transform analysis pipeline for PAPER-64 data, improving upon previous methods by removing lossy steps and analyzing the full redshift range.
Findings
New upper limits on 21cm power spectrum at multiple redshifts.
Demonstrates that previous results contained significant signal loss.
Provides a more reliable, lossless analysis method for EoR data.
Abstract
We present limits on the 21cm power spectrum from the Epoch of Reionization (EoR) using data from the 64 antenna configuration of the Donald C. Backer Precision Array for Probing the Epoch of Reionization (PAPER) analyzed through a power spectrum pipeline independent from previous PAPER analyses. Previously reported results from PAPER have been found to contain significant signal loss (Cheng et al. 2018, arxiv:1810.05175). Several lossy steps from previous PAPER pipelines have not been included in this analysis, namely: delay-based foreground filtering, optimal fringe-rate filtering, and empirical covariance-based estimators. Steps which remain in common with previous analyses include redundant calibration and local sidereal time (LST) binning. The power spectra reported here are effectively the result of applying a linear Fourier transform analysis to the calibrated, LST binned data.…
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