Constraining Reionization Morphology and Source Properties with 21cm-Galaxy Cross-Correlation Surveys
Yannic Pietschke, Anne Hutter, Caroline Heneka

TL;DR
This paper demonstrates that 21cm-Galaxy cross-correlation surveys can significantly improve constraints on reionization morphology and source properties, especially with precise redshifts and deep galaxy surveys, using simulation-based inference.
Contribution
It introduces a framework for quantifying the constraining power of 21cm-Galaxy cross-power spectra on reionization parameters and source properties, highlighting the importance of redshift accuracy and survey depth.
Findings
Cross-power spectra provide unbiased constraints on neutral hydrogen fraction.
Cross-correlations reduce parameter uncertainty compared to 21cm auto-power.
Precise redshifts are crucial for effective cross-correlation analysis.
Abstract
Cross-correlations between 21cm observations and galaxy surveys provide a powerful probe of reionization by reducing foreground sensitivity while linking ionization morphology to galaxies. We quantify the constraining power of 21cm-Galaxy cross-power spectra for inferring neutral hydrogen fraction and mean overdensity , exploring dependence on field of view, redshift precision , and minimum halo mass . We employ our simulation-based inference framework EoRFlow for likelihood-free parameter estimation. Mock observations include thermal noise for 100h SKA-Low with foreground avoidance and realistic galaxy survey effects. For a fiducial survey (, , ), cross-power spectra yield unbiased constraints with posterior…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Radio Astronomy Observations and Technology
