Leveraging protohalos and scale-dependent bias to calibrate the BAO scale in real space
Sasha Gaines, Farnik Nikakhtar, Nikhil Padmanabhan, Ravi K. Sheth

TL;DR
This paper improves the calibration of the BAO scale in real space by modeling scale-dependent bias in protohalo correlation functions, significantly enhancing measurement precision without shifting the BAO feature.
Contribution
It introduces a novel bias model incorporating scale dependence in protohalo analysis, leading to more accurate and precise BAO scale measurements.
Findings
Scale-dependent bias improves BAO scale measurement precision by up to 47%.
The linear combination of protohalo and matter fields yields the highest precision.
No shift in the BAO feature is caused by including scale dependence.
Abstract
The location of the baryon acoustic oscillation (BAO) feature in the two-point correlation function (2PCF) of matter produces a standard ruler that is useful for the measurement of the expansion history of the Universe. Inspired by the possibility of reconstructing the positions of protohalos in the initial density field with a novel method rooted in optimal transport theory, we revisit the BAO signal in the protohalo correlation function. Our work examines the performance of a template 2PCF built on a tracer bias relation that includes scale dependence -- a term that can be motivated by peaks theory or a general bias expansion. Working in protohalos, halos, and the linear combination of the protohalo and matter fields that is motivated by the continuity equation, we demonstrate that this model accurately captures the shape of the BAO feature and improves the precision of the BAO scale…
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Taxonomy
TopicsAtmospheric Ozone and Climate · Atomic and Subatomic Physics Research · Atmospheric and Environmental Gas Dynamics
