We provide a method for estimating the projected density distribution $${\bar{n}}_{2}{w}_{p}({r}_{p})$$ of photometric objects around spectroscopic objects in a spectroscopic survey. This quantity describes the distribution of photometric sources with certain physical properties (e.g., luminosity, mass, and color) around cosmic webs (PAC) traced by the spectroscopic objects. The method can make full use of current and future deep and wide photometric surveys to explore the formation of galaxies up to medium redshift (zs < 2)3 with the aid of cosmological spectroscopic surveys that sample only a fairly limited species of objects (e.g., emission line galaxies). As an example, we apply the PAC method to the CMASS spectroscopic and HSC-SSP PDR2 photometric samples to explore the distribution of galaxies for a wide range of stellar masses from 109.0 to 1012.0 M⊙ around massive galaxies at zs ≈ 0.6. Using the abundance-matching method, we model $${\bar{n}}_{2}{w}_{p}({r}_{p})$$ in N-body simulation using Markov chain Monte Carlo sampling, and we accurately measure the stellar–halo mass relation and stellar mass function for the whole mass range. We can also measure the conditional stellar mass function of satellites for central galaxies of different mass. The PAC method has many potential applications for studying the evolution of galaxies.
Xu, Kun, et al. "Photometric Objects around Cosmic Webs (PAC) Delineated in a Spectroscopic Survey. I. Methods." The Astrophysical Journal, vol. 925, no. 1, Jan. 2022. https://doi.org/10.3847/1538-4357/ac38a2
Xu, Kun, Zheng, Yun, and Jing, Yipeng, "Photometric Objects around Cosmic Webs (PAC) Delineated in a Spectroscopic Survey. I. Methods," The Astrophysical Journal 925, no. 1 (2022), https://doi.org/10.3847/1538-4357/ac38a2
@article{osti_1983208,
author = {Xu, Kun and Zheng, Yun and Jing, Yipeng},
title = {Photometric Objects around Cosmic Webs (PAC) Delineated in a Spectroscopic Survey. I. Methods},
annote = {We provide a method for estimating the projected density distribution ${\bar{n}}_{2}{w}_{p}({r}_{p})$ of photometric objects around spectroscopic objects in a spectroscopic survey. This quantity describes the distribution of photometric sources with certain physical properties (e.g., luminosity, mass, and color) around cosmic webs (PAC) traced by the spectroscopic objects. The method can make full use of current and future deep and wide photometric surveys to explore the formation of galaxies up to medium redshift (zs 3 with the aid of cosmological spectroscopic surveys that sample only a fairly limited species of objects (e.g., emission line galaxies). As an example, we apply the PAC method to the CMASS spectroscopic and HSC-SSP PDR2 photometric samples to explore the distribution of galaxies for a wide range of stellar masses from 109.0 to 1012.0 M⊙ around massive galaxies at zs ≈ 0.6. Using the abundance-matching method, we model ${\bar{n}}_{2}{w}_{p}({r}_{p})$ in N-body simulation using Markov chain Monte Carlo sampling, and we accurately measure the stellar–halo mass relation and stellar mass function for the whole mass range. We can also measure the conditional stellar mass function of satellites for central galaxies of different mass. The PAC method has many potential applications for studying the evolution of galaxies.},
doi = {10.3847/1538-4357/ac38a2},
url = {https://www.osti.gov/biblio/1983208},
journal = {The Astrophysical Journal},
issn = {ISSN 0004-637X},
number = {1},
volume = {925},
place = {United States},
publisher = {IOP Publishing},
year = {2022},
month = {01}}
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). National Energy Research Scientific Computing Center (NERSC)
Sponsoring Organization:
Alfred P. Sloan Foundation; National Aeronautics and Space Administration (NASA); National Science Foundation (NSF); USDOE Office of Science (SC), High Energy Physics (HEP)
Grant/Contract Number:
AC02-05CH11231
OSTI ID:
1983208
Journal Information:
The Astrophysical Journal, Journal Name: The Astrophysical Journal Journal Issue: 1 Vol. 925; ISSN 0004-637X