Reionization constraints using Principal Component Analysis
Sourav Mitra, T. Roy Choudhury, Andrea Ferrara

TL;DR
This study uses principal component analysis on observational data to constrain the history of cosmic reionization, revealing that reionization likely increased at z>6 and was mostly complete by z~10.
Contribution
It introduces a PCA-based method to model N_{ion}(z) with only five parameters, providing new constraints on reionization history from existing data.
Findings
Reionization is 99% complete between z=5.8 and 10.3.
Constraints at z<6 are strong, but loose at z>6.
N_{ion}(z) likely increases at z>6, ruling out simple models with non-evolving parameters.
Abstract
Using a semi-analytical model developed by Choudhury & Ferrara (2005) we study the observational constraints on reionization via a principal component analysis (PCA). Assuming that reionization at z>6 is primarily driven by stellar sources, we decompose the unknown function N_{ion}(z), representing the number of photons in the IGM per baryon in collapsed objects, into its principal components and constrain the latter using the photoionization rate obtained from Ly-alpha forest Gunn-Peterson optical depth, the WMAP7 electron scattering optical depth and the redshift distribution of Lyman-limit systems at z \sim 3.5. The main findings of our analysis are: (i) It is sufficient to model N_{ion}(z) over the redshift range 2<z<14 using 5 parameters to extract the maximum information contained within the data. (ii) All quantities related to reionization can be severely constrained for z<6…
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Taxonomy
TopicsAstronomy and Astrophysical Research · Galaxies: Formation, Evolution, Phenomena · Gamma-ray bursts and supernovae
