Can a multi-tracer approach improve the constraints on the turnover scale at low redshift?
Yan Lai, Cullan Howlett, Tamara Davis

TL;DR
This study explores whether a multi-tracer approach can enhance constraints on the turnover scale at low redshift, finding that combining galaxy and HI power spectra improves precision, especially with future surveys.
Contribution
First demonstration that multi-tracer methods combining galaxy and HI spectra can significantly improve constraints on the turnover scale at low redshift.
Findings
Combining galaxy density with peculiar velocities does not improve constraints for current surveys.
Combining galaxy and HI power spectra improves constraints by ~30%.
Future survey combinations could achieve ~5% constraint on the turnover scale.
Abstract
The turnover scale of the power spectrum is related to the size of the particle horizon at the matter-radiation equality, which can be used as a standard ruler to constrain cosmological parameters. In this work, we apply a model-independent method to mock datasets to forecast constraints on the turnover scale below a redshift of 0.5, investigating for the first time with a multi-tracer approach. We find that combining the galaxy density with peculiar velocity does not improve the turnover scale constraints for current or currently planned surveys because either the cosmological volume or the effective number density of peculiar velocities is too low. However, we demonstrate that when combining the galaxy power spectrum from 4HS with the HI power spectrum from SKA1-B2, the constraints on the turnover scale improve by compared to using only a single tracer. We demonstrate for…
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Taxonomy
TopicsNuclear reactor physics and engineering · Simulation Techniques and Applications
