ISW-Galaxy Cross Correlation:A probe of Dark Energy clustering and distribution of Dark Matter tracers
Shahram Khosravi, Amir Mollazadeh, Shant Baghram

TL;DR
This paper investigates how dark energy clustering and galaxy bias evolution affect the ISW-galaxy cross correlation, revealing the importance of galaxy sub-sample selection and halo bias evolution in constraining dark energy models.
Contribution
It demonstrates the impact of evolving halo bias and galaxy sub-sample selection on ISW-galaxy cross correlation analysis, improving model fits.
Findings
Evolved bias improves ΛCDM fit to ISW-galaxy data.
Galaxy sub-sample selection significantly influences the observed signal.
Dark energy clustering affects the ISW-galaxy cross correlation.
Abstract
Cross correlation of the Integrated Sachs-Wolfe signal (ISW) with the galaxy distribution in late time is a promising tool for constraining the dark energy properties. Here, we study the effect of dark energy clustering on the ISW-galaxy cross correlation and demonstrate the fact that the bias parameter between the distribution of the galaxies and the underlying dark matter introduces a degeneracy and complications. We argue that as the galaxy's host halo formation time is different from the observation time, we have to consider the evolution of the halo bias parameter. It will be shown that any deviation from CDM model will change the evolution of the bias as well. Therefore, it is deduced that the halo bias depends strongly on the sub-sample of galaxies which is chosen for cross correlation and that the joint kernel of ISW effect and the galaxy distribution has a dominant…
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