Published January 2025 | Version 1.0.0

STINGS/COCO Simulations Data Release 1

  • 1. ROR icon National Tsing Hua University
  • 1. Center for Theoretical Physics, Polish Academy of Sciences
  • 2. ROR icon Durham University

Description

With Cooper et al. (2025), we release the stellar particle data for approximately 6400 central galaxies in the Coco simulation (Hellwing et al. 2016) with virial mass M_vir > 10^10 M⊙. This model is based on the STINGS particle tagging technique combined with the semi-analytic model of Lacey et al. (2016).

For the data model of these files, related python scripts and other details, please see https://github.com/nthu-ga/stings-data.

The data are provided in HDF5 format. Each file contains data for a "cutout" around one dark matter halo, including all its satellites.

The files are organized in the following directory structure:

/dr1/cutouts/lacey16/3pc/0153/NNNN

where NNNN is a zero-padded integer ranging (in this release) from 0000 to 0099. This corresponds to the colum IDIR in the galaxies.fits table:

/dr1/cutouts/lacey16/3pc/0153/galaxies.fits

For distribution via Zenodo, data for several IDIRs have been grouped into tarballs. Each .tar.gz file contains data for 5 IDIRs. These files unpack to the directory structure described above. For example, the 0020_0024.tar.gz file unpacks to /dr1/cutouts/lacey16/3pc/0153/[0020,0021,0022,0023,0024].

Data file names are of the form subhalo_{SUBHALOINDEX}_153.hdf5 where {SUBHALOINDEX} is the value of SUBHALOINDEX in galaxies.fits.

The path to the particle data for to a given row in galaxies.fits can therefore be constructed from the IDIR and SUBHALOINDEX columns, as follows:

/dr1/cutouts/lacey16/3pc/0153/{IDIR}/subhalo_{SUBHALOINDEX}_153.hdf5

Files

Files (97.5 GB)

Name Size
md5:325201f8a8ef0f002b8450e6811a9328
3.1 GB Download
md5:5a97b283f86f610d302a035bc014389e
2.5 GB Download
md5:588f63db79c1a579e84025805483b70d
4.9 GB Download
md5:299a771e4409fef74c7d18f8afbbb8da
4.8 GB Download
md5:595d7865359a8ccf22f389f619d52382
2.9 GB Download
md5:d0bde8c241ab8bd75ffab121beb35060
3.8 GB Download
md5:d1762681a6474b92d30093eb4c60b4e7
2.7 GB Download
md5:0b27a20dfa4dd8b2f1113c9be017d914
6.5 GB Download
md5:a2125a631c4635bec297f64aa6398c10
6.8 GB Download
md5:9ba755bfc79589dc334678ffb24fd121
8.0 GB Download
md5:e0f981b645d3919e5ce8dcb46e9c2f6f
7.7 GB Download
md5:196f836462ed4ba816555a054864c18e
2.9 GB Download
md5:d9322e78210213d959f1393814a2eae8
7.4 GB Download
md5:fdc771c5f5ac921bae938aba1dd717e2
3.8 GB Download
md5:c2ca3c9820701a034ad01d4bd812d86e
4.1 GB Download
md5:d82a6748b82882e193a9ede980432cd3
4.2 GB Download
md5:567901b144aaaf52dcccf8ecf9f441a8
3.5 GB Download
md5:c77ba97b13a29df796cde88ac79b9c51
8.4 GB Download
md5:6f6a8890fb4331b9457a8c69d3d8f88e
6.8 GB Download
md5:a0d759b3388e5701e4ce287409e0bd88
2.4 GB Download
md5:25eaff3d85f67ca362a17011ebba50cd
780.5 kB Download

Additional details

Related works

Is derived from
Publication: 10.1093/mnras/stw214 (DOI)
Is described by
Publication: arXiv:2501.13317 (arXiv)

Software

Repository URL
https://github.com/nthu-ga/stings-data
Programming language
Python
Development Status
Active