TL;DR
This study uses magnetohydrodynamic simulations to analyze how observational selection biases affect the measurement of cross-correlations between FRB dispersion measures and galaxy distributions, crucial for understanding extragalactic plasma.
Contribution
It demonstrates that cross-correlations are generally robust to many selection effects but can be significantly biased by DM-dependent cuts, informing future survey designs.
Findings
Cross-correlations are robust to host galaxy properties and some survey-specific effects.
DM-dependent selection effects can bias the cross-correlation amplitude by over 50%.
Proper accounting for selection biases is essential for accurate large-scale structure probing with FRBs.
Abstract
The dispersion measure (DM) of fast radio bursts (FRBs) in conjunction with their redshifts can be used as powerful probes of the distribution of extragalactic plasma. With a large enough sample, the free-electron--galaxy power spectrum can be measured by cross-correlating FRB DMs with galaxy positions. However, a precise measurement of requires a careful investigation of selection effects: the probability of both observing the FRB DM and obtaining a host galaxy redshift depends on their properties. We ray trace through the magnetohydrodynamic simulation IllustrisTNG to investigate the impact of expected observational selection effects on FRB dispersion--galaxy angular cross-correlations with a sample of 3000 FRBs at . Our results show that cross-correlations with such an FRB sample are robust to properties of the FRB host galaxy: this includes DM…
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