Available Published Catalogues

This page lists mock galaxy catalogues generated with SCAMPy and made available for public use. Catalogues are distributed as collections of HDF5 files, one per redshift slice, hosted on Google Drive. Access is granted on request: click the download link for the catalogue of interest and request access through the Google Drive interface.

If you use any of these catalogues in your work, please cite the corresponding paper listed in the table below.

Note

Access requests are reviewed manually. This allows the authors to keep track of the user community and to notify users of updates or corrections.

Summary

Paper	Catalogue	Populations	Total sources	\(z\) range
[Ronconi et al. (2026)]	Shallow	CoG (AGN + SFG), HIG, cross	~269M	CoG: \(0 < z \leq 5\); HIG: \(0 < z \leq 0.5\)
[Ronconi et al. (2026)]	Deep	CoG (AGN + SFG), HIG, cross	~1.1B	CoG: \(0 < z \leq 5\); HIG: \(0 < z \leq 0.5\)

RadioMocks — Ronconi et al. (2026)

These catalogues are described in Sec. 3.2 of [Ronconi et al. (2026)]. They are built on a DEMNUni dark-matter light-cone simulation (Carbone et al. 2016, Parimbelli et al. 2022) using the full SCAMPy pipeline: a probabilistic halo-occupation distribution (HOD) selects host sub-haloes, and sub-halo abundance matching (SHAM) assigns observed radio properties to each host.

Two catalogues are provided, differing in flux-limit depth:

the shallow catalogue is fully constrained by existing observational data (VLA-COSMOS and ALFALFA) and is complete above the flux limits of current wide-area surveys;
the deep catalogue extends the calibrated model to the expected sensitivity limits of future SKA surveys.

Each catalogue is distributed as a collection of 42 HDF5 files, one per redshift slice, spanning \(0 < z \leq 5\) for the continuum population and \(0 < z \leq 0.5\) for the HI population.

Shallow catalogue

Paper	Ronconi et al. (2026)
Simulation	DEMNUni light-cone (Carbone et al. 2016)
Redshift slices	42 slices, \(0 < z \leq 5\)
Flux limit — continuum	\(S^{\lim}_{1.4\,\mathrm{GHz}} \simeq 8 \times 10^{-5}\) Jy
Flux limit — HI line	\(S^{\lim}_{21} \simeq 2\) Jy·Hz
Continuum sources (CoG, \(z \leq 5\) )	217 143 484 (AGN: 30 553 719; SFG: 186 589 765)
HI sources (HIG, \(z \leq 0.5\) )	51 509 884
Cross-catalogue (CoG \(\times\) HIG)	7 084 155
Download	[Google Drive — shallow]

Deep catalogue

Paper	Ronconi et al. (2026)
Simulation	DEMNUni light-cone (Carbone et al. 2016)
Redshift slices	42 slices, \(0 < z \leq 5\)
Flux limit — continuum	\(S^{\lim}_{1.4\,\mathrm{GHz}} \simeq 4 \times 10^{-5}\) Jy
Flux limit — HI line	\(S^{\lim}_{21} \simeq 0.3\) Jy·Hz
Continuum sources (CoG, \(z \leq 5\) )	365 527 186 (AGN: 40 607 134; SFG: 324 920 052)
HI sources (HIG, \(z \leq 0.5\) )	719 501 958
Cross-catalogue (CoG \(\times\) HIG)	32 531 743
Download	[Google Drive — deep]

Data format

Each redshift-slice file is an HDF5 file containing a single group galaxies/ with one dataset per field. All entries in a slice file represent objects detected in at least one catalogue (CoG or HIG); the boolean flags catCoG and catHIG indicate membership. Comoving coordinates are in the simulation frame; sky coordinates are derived from the light-cone geometry described in the paper.

The files can be read with scampy.io.hdf5.load_from_hdf5(), which returns a nested dictionary keyed first by group name, then by field name:

from scampy.io.hdf5 import load_from_hdf5

data = load_from_hdf5("Catalogue_FluxLim_z0.01.hdf5")
galaxies = data["galaxies"]

# sky coordinates (all objects)
ra, dec, z = galaxies["RA"], galaxies["Dec"], galaxies["Red"]

# select the continuum sub-catalogue
cog_mask = galaxies["catCoG"]
flux_1400 = galaxies["I1400"][cog_mask]   # µJy

# select the HI sub-catalogue
hig_mask = galaxies["catHIG"]
hi_flux = galaxies["HI flux"][hig_mask]   # mJy·Hz

Field	dtype	Unit	Description
`RA`	float64	deg	Right ascension
`Dec`	float64	deg	Declination
`Red`	float64	—	Redshift
`X`	float64	Mpc/h	Comoving x-coordinate
`Y`	float64	Mpc/h	Comoving y-coordinate
`Z`	float64	Mpc/h	Comoving z-coordinate
`Mhalo`	float64	\(M_\odot\,h^{-1}\)	Host halo mass
`Msubh`	float64	\(M_\odot\,h^{-1}\)	Host subhalo mass
`Parent`	int64	—	Parent halo index
`IDgadget`	int64	—	GADGET particle ID
`snapID`	int64	—	Snapshot ID
`Sect`	int64	—	Sky sector index
`OptClass`	int64	—	Optical source classification
`logSFR`	float32	\(\log(M_\odot\,\mathrm{yr}^{-1})\)	Log star-formation rate
`catCoG`	bool	—	Member of the continuum catalogue (CoG)
`catHIG`	bool	—	Member of the HI catalogue (HIG)
`cenCoG`	bool	—	Central CoG
`cenHIG`	bool	—	Central HIG
`satCoG`	bool	—	Satellite CoG
`satHIG`	bool	—	Satellite HIG
`I1400` (CoG)	float32	\(\mu\mathrm{Jy}\)	Flux density at 1.4 GHz
`I150` (CoG)	float32	\(\mu\mathrm{Jy}\)	Flux density at 150 MHz
`I3000` (CoG)	float32	\(\mu\mathrm{Jy}\)	Flux density at 3 GHz
`L1400` (CoG)	float32	\(\log(\mathrm{W\,Hz}^{-1})\)	Radio luminosity at 1.4 GHz
`RadioClass` (CoG)	int64	—	Radio source classification (AGN/SFG)
`size` (CoG)	float32	arcsec	Angular size
`trecs_CoG_ID` (CoG)	int64	—	T-RECS continuum source ID
`HI flux` (HIG)	float32	\(\mathrm{mJy\cdot Hz}\)	HI line flux
`HI size` (HIG)	float32	arcsec	HI disc angular size
`MHI` (HIG)	float32	\(\log(M_\odot)\)	HI mass
`MHI_pred` (HIG)	float32	\(\log(M_\odot)\)	Predicted HI mass (from SHAM)
`w50` (HIG)	float32	km/s	Line width at 50% peak flux
`v_max` (HIG)	float32	km/s	Maximum rotation velocity
`inclination` (HIG)	float32	deg	Disc inclination angle
`trecs_HIG_ID` (HIG)	int64	—	T-RECS HI source ID