Gravitational Potential Environment of Galaxies: I. Simulation
Hyunbae Park, Juhan Kim, and Changbom Park

TL;DR
This study investigates the gravitational potential environment of galaxies using simulations, demonstrating methods to accurately estimate it from observational data and exploring its influence on dark halo properties.
Contribution
The paper introduces techniques to estimate gravitational potential from finite, biased, redshift-distorted samples and analyzes its impact on dark halo characteristics.
Findings
Accurate potential estimation requires staying 30h^{-1} Mpc away from sample boundaries.
Using galaxy mass density reduces bias effects compared to number density.
Environmental parameters influence dark halo properties, with local density being most significant.
Abstract
We extend the concept of galaxy environment from the local galaxy number density to the gravitational potential and its functions like the shear tensor. For this purpose we examine whether or not one can make an accurate estimation of the gravitational potential from an observational sample which is finite in volume, biased due to galaxy biasing, and subject to redshift space distortion. Dark halos in a CDM simulation are used in this test. We find that one needs to stay away from the sample boundaries by more than 30Mpc to reduce the error within 20% of the root mean square values of the potential or the shear tensor. The error due to the galaxy biasing can be significantly reduced by using the galaxy mass density field instead of the galaxy number density field. The error caused by the redshift space distortion can be effectively removed by correcting galaxy positions…
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