Fast Generation of Mock Galaxy Catalogs with COLA
We investigate the feasibility of using the comoving Lagrangian acceleration ( COLA ) technique to efficiently generate galaxy mock catalogs that can accurately reproduce the statistical properties of observed galaxies. Our proposed scheme combines the subhalo abundance-matching (SHAM) procedure wit...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IOP Publishing
2024-01-01
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| Series: | The Astrophysical Journal Supplement Series |
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| Online Access: | https://doi.org/10.3847/1538-4365/ad0c5b |
| _version_ | 1797340325927190528 |
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| author | Jiacheng Ding Shaohong Li Yi Zheng Xiaolin Luo Le Zhang Xiao-Dong Li |
| author_facet | Jiacheng Ding Shaohong Li Yi Zheng Xiaolin Luo Le Zhang Xiao-Dong Li |
| author_sort | Jiacheng Ding |
| collection | DOAJ |
| description | We investigate the feasibility of using the comoving Lagrangian acceleration ( COLA ) technique to efficiently generate galaxy mock catalogs that can accurately reproduce the statistical properties of observed galaxies. Our proposed scheme combines the subhalo abundance-matching (SHAM) procedure with COLA simulations, using only three free parameters: the scatter magnitude ( σ _scat ) in SHAM, the initial redshift ( z _init ) of the COLA simulation, and the time stride ( da ) used by COLA . In this proof-of-concept study, we focus on a subset of BOSS CMASS NGC galaxies within the redshift range z ∈ [0.45, 0.55]. We perform GADGET simulation and low-resolution COLA simulations with various combinations of ( z _init , da ), each using 1024 ^3 particles in an 800 h ^−1 Mpc box. By minimizing the difference between COLA mock and CMASS NGC galaxies for the monopole of the two-point correlation function (2PCF), we obtain the optimal σ _scat . We have found that by setting z _init = 29 and da = 1/30, we achieve a good agreement between COLA mock and CMASS NGC galaxies within the range of 4–20 h ^−1 Mpc, with a computational cost lower by 2 orders of magnitude than that of the GADGET N -body code. Moreover, a detailed verification is performed by comparing various statistical properties, such as anisotropic 2PCF, three-point clustering, and power spectrum multipoles, which shows a similar performance of the GADGET mock and COLA mock catalogs with the CMASS NGC galaxies. Furthermore, we assess the robustness of the COLA mock catalogs for different cosmological models, demonstrating consistent results in the resulting 2PCFs. Our findings suggest that COLA simulations are a promising tool for efficiently generating mock catalogs for emulators and machine-learning analyses to explore the large-scale structure of the Universe. |
| first_indexed | 2024-03-08T10:01:27Z |
| format | Article |
| id | doaj.art-0ae9c4e4ec694f6eb00fb96a20170517 |
| institution | Directory Open Access Journal |
| issn | 0067-0049 |
| language | English |
| last_indexed | 2024-03-08T10:01:27Z |
| publishDate | 2024-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | The Astrophysical Journal Supplement Series |
| spelling | doaj.art-0ae9c4e4ec694f6eb00fb96a201705172024-01-29T09:51:52ZengIOP PublishingThe Astrophysical Journal Supplement Series0067-00492024-01-0127022510.3847/1538-4365/ad0c5bFast Generation of Mock Galaxy Catalogs with COLAJiacheng Ding0https://orcid.org/0000-0002-8732-5339Shaohong Li1Yi Zheng2https://orcid.org/0000-0001-7047-2861Xiaolin Luo3Le Zhang4Xiao-Dong Li5School of Physics and Astronomy, Sun Yat-Sen University , Zhuhai 519082, People’s Republic of China ; zhangle7@mail.sysu.edu.cn, lixiaod25@mail.sysu.edu.cn; Peng Cheng Laboratory , No. 2, Xingke 1st Street, Shenzhen 518000, People’s Republic of China; CSST Science Center for the Guangdong-Hong Kong-Macau Greater Bay Area , SYSU, Zhuhai 519082, People’s Republic of ChinaSchool of Physics and Astronomy, Sun Yat-Sen University , Zhuhai 519082, People’s Republic of China ; zhangle7@mail.sysu.edu.cn, lixiaod25@mail.sysu.edu.cn; CSST Science Center for the Guangdong-Hong Kong-Macau Greater Bay Area , SYSU, Zhuhai 519082, People’s Republic of ChinaSchool of Physics and Astronomy, Sun Yat-Sen University , Zhuhai 519082, People’s Republic of China ; zhangle7@mail.sysu.edu.cn, lixiaod25@mail.sysu.edu.cn; CSST Science Center for the Guangdong-Hong Kong-Macau Greater Bay Area , SYSU, Zhuhai 519082, People’s Republic of ChinaDepartment of Astronomy, School of Physics and Astronomy, Shanghai Jiao Tong University , Shanghai 200240, People’s Republic of ChinaSchool of Physics and Astronomy, Sun Yat-Sen University , Zhuhai 519082, People’s Republic of China ; zhangle7@mail.sysu.edu.cn, lixiaod25@mail.sysu.edu.cn; Peng Cheng Laboratory , No. 2, Xingke 1st Street, Shenzhen 518000, People’s Republic of China; CSST Science Center for the Guangdong-Hong Kong-Macau Greater Bay Area , SYSU, Zhuhai 519082, People’s Republic of ChinaSchool of Physics and Astronomy, Sun Yat-Sen University , Zhuhai 519082, People’s Republic of China ; zhangle7@mail.sysu.edu.cn, lixiaod25@mail.sysu.edu.cn; Peng Cheng Laboratory , No. 2, Xingke 1st Street, Shenzhen 518000, People’s Republic of China; CSST Science Center for the Guangdong-Hong Kong-Macau Greater Bay Area , SYSU, Zhuhai 519082, People’s Republic of ChinaWe investigate the feasibility of using the comoving Lagrangian acceleration ( COLA ) technique to efficiently generate galaxy mock catalogs that can accurately reproduce the statistical properties of observed galaxies. Our proposed scheme combines the subhalo abundance-matching (SHAM) procedure with COLA simulations, using only three free parameters: the scatter magnitude ( σ _scat ) in SHAM, the initial redshift ( z _init ) of the COLA simulation, and the time stride ( da ) used by COLA . In this proof-of-concept study, we focus on a subset of BOSS CMASS NGC galaxies within the redshift range z ∈ [0.45, 0.55]. We perform GADGET simulation and low-resolution COLA simulations with various combinations of ( z _init , da ), each using 1024 ^3 particles in an 800 h ^−1 Mpc box. By minimizing the difference between COLA mock and CMASS NGC galaxies for the monopole of the two-point correlation function (2PCF), we obtain the optimal σ _scat . We have found that by setting z _init = 29 and da = 1/30, we achieve a good agreement between COLA mock and CMASS NGC galaxies within the range of 4–20 h ^−1 Mpc, with a computational cost lower by 2 orders of magnitude than that of the GADGET N -body code. Moreover, a detailed verification is performed by comparing various statistical properties, such as anisotropic 2PCF, three-point clustering, and power spectrum multipoles, which shows a similar performance of the GADGET mock and COLA mock catalogs with the CMASS NGC galaxies. Furthermore, we assess the robustness of the COLA mock catalogs for different cosmological models, demonstrating consistent results in the resulting 2PCFs. Our findings suggest that COLA simulations are a promising tool for efficiently generating mock catalogs for emulators and machine-learning analyses to explore the large-scale structure of the Universe.https://doi.org/10.3847/1538-4365/ad0c5bLarge-scale structure of the universeGalaxy dark matter halosCosmologyN-body simulations |
| spellingShingle | Jiacheng Ding Shaohong Li Yi Zheng Xiaolin Luo Le Zhang Xiao-Dong Li Fast Generation of Mock Galaxy Catalogs with COLA The Astrophysical Journal Supplement Series Large-scale structure of the universe Galaxy dark matter halos Cosmology N-body simulations |
| title | Fast Generation of Mock Galaxy Catalogs with COLA |
| title_full | Fast Generation of Mock Galaxy Catalogs with COLA |
| title_fullStr | Fast Generation of Mock Galaxy Catalogs with COLA |
| title_full_unstemmed | Fast Generation of Mock Galaxy Catalogs with COLA |
| title_short | Fast Generation of Mock Galaxy Catalogs with COLA |
| title_sort | fast generation of mock galaxy catalogs with cola |
| topic | Large-scale structure of the universe Galaxy dark matter halos Cosmology N-body simulations |
| url | https://doi.org/10.3847/1538-4365/ad0c5b |
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