Inferring reionization and galaxy properties from the patchy kinetic Sunyaev-Zel'dovich signal
Ivan Nikoli\'c, Andrei Mesinger, Yuxiang Qin, Ad\'elie Gorce

TL;DR
This paper uses Bayesian inference to analyze the patchy kSZ signal, constraining the epoch of reionization's timing, morphology, and galaxy properties, and emphasizes the importance of physical models for interpreting low S/N measurements.
Contribution
It introduces a Bayesian framework combining kSZ and other observations to infer EoR properties, highlighting the role of physical models in low S/N data interpretation.
Findings
Recent kSZ measurement favors faster, later reionization models.
Estimated optical depth to CMB: τ_e ≈ 0.052.
Typical ionizing escape fraction: 0.04.
Abstract
The patchy kinetic Sunyaev-Zel'dovich (kSZ) signal is an integral probe of the timing and morphology of the epoch of reionization (EoR). Recent observations have claimed a low signal-to-noise (S/N) measurement, with a dramatic increase in S/N expected in the near future. In this work, we quantify what we can learn about the EoR from the kSZ signal. We perform Bayesian inference by sampling galaxy properties and using forward-models of the kSZ as well as other EoR and galaxy observations in the likelihood. Including the recent kSZ measurement obtained by the South Pole Telescope (K) shifts the posterior distribution in favor of faster and later reionization models, resulting in lower values of the optical depth to the CMB: with a 68 confidence interval (C.I.). The combined EoR and UV…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Stellar, planetary, and galactic studies
