Threshold Clustering Functions and Thermal Inhomogeneities in the Lyman-Alpha Forest
Khee-Gan Lee, David N. Spergel

TL;DR
This paper introduces threshold probability functions to analyze the Lyman-alpha forest, enabling constraints on the intergalactic medium's temperature-density relation and detecting temperature inhomogeneities caused by HeII reionization.
Contribution
It applies threshold clustering functions to mock and real data, providing new methods to quantify temperature inhomogeneities and the temperature-density relation in the IGM.
Findings
SDSS DR7 flux PDF constrains gamma to 0.2 at 4 sigma
S_2 detects temperature inhomogeneities at 3 sigma
S_2 constrains bubble sizes with 4 sigma significance
Abstract
We introduce to astrophysics the threshold probability functions S_2, C_2, and D_2 first derived by \citet{torq+88}, which effectively samples the flux probability distribution (PDF) of the Lya forest at different spatial scales. These statistics are tested on mock Lya forest spectra based on various toy models for HeII reionization, with homogeneous models with various temperature-density relations as well as models with temperature inhomogeneities. These mock samples have systematics and noise added to simulate the latest Sloan Digital Sky Survey Data Release 7 (SDSS DR7) data. We find that the flux PDF from SDSS DR7 can be used to constrain the temperature-density relation (where ) of the intergalactic medium (IGM) at z=2.5 to a precision of at confidence. The flux PDF is degenerate to temperature…
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Taxonomy
TopicsAerospace, Electronics, Mathematical Modeling · Material Properties and Applications · Advanced Theoretical and Applied Studies in Material Sciences and Geometry
