ComPACT

The catalogue was created based on the extended candidate catalogue of the Planck clusters (SZcat) and deep learning algorithm, that was trained on the ACT+Planck maps (Naess et al. 2020).

The ComPACT catalogue contains 2,962 candidates. Below we describe columns:

Basic Properties & Cross-matches

Column	Description	Units / Notes
Name	ID of a ComPACT candidate	Unique identifier
RA	Right Ascension of maximum pixel	Decimal degrees (J2000)
DEC	Declination of maximum pixel	Decimal degrees (J2000)
S	Object mask area	Pixels
pmax	Maximum probability for an object	Probability score [0, 1]
SZcat	Name of the object from SZcat catalogue	Cross-match ID*
ACT	Cluster name in the ACT DR5 catalogue	Cross-match ID*
PSZ2	PSZ2 source name	Cross-match ID*
Priority	Reliability of candidate based on $S$ area	See levels descriprion in arxiv_2309.17077 folder

*file with this columns in folder arXiv_2309.17077

Redshift and Mass Parameters (v3.0)

Column	Description	Units / Notes
z	Cluster redshift
zType	Redshift type	spec (spectroscopic) or phot (photometric)
zSource	Source of the cluster redshift	Reference ID (see Data Sources)
zCluster	redshift estimated by zCluster
zCluster_err	Uncertainty in provided zCluster redshift
zCluster_delta	zCluster density contrast statistic	see zCluster
zZazn	redshift estimated by Zaznobin algorithm	see Zaznobin git
zZazn_err	Uncertainty in provided Zaznobin redshift
zZazn_sig1	Zaznobin first significance value	Significance ($p_1$) (see Zaznobin git)
zZazn_sig2	Zaznobin second significance value	Significance ($p_2$) (see Zaznobin git)
M500	Cluster mass ($M_{500c}$)	$10^{14} , M_\odot$; asymmetric uncertainties: E_M500 (upper), e_M500 (lower)
mSource	Source of the mass estimate	Reference ID (see Data Sources)
Mact	Mass from $Y$ - $M$ relation (ACT+Planck $y$-maps)	$10^{14} , M_\odot$; uncertainties: e_Mact, E_Mact
Mplanck	Mass from $Y$ - $M$ relation (Planck-only $y$-maps)	$10^{14} , M_\odot$; uncertainties: e_Mplanck, E_Mplanck

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Data Sources & References

For columns we used catalogues:

• SZcatgen: data, Meshcheryakov et al. 2022
• ACT DR5: data, Hilton et al. 2021
• PSZ2: data, Planck Collobaration
• zCluster: github, Hilton et al. 2018
• Zaznobin algorithm: github, Zaznobin et al. 2023
• Redshift/Mass Sources: Detailed references for specific zSource and mSource IDs are provided in the Table 1 of the v3.0 paper.

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Version History

Cluster calalogue: ComPACT.csv (v2.0)

• v3.0 Measure mass and readshifts. Released accompanying paper:
• v2.0 Add 'Priority' column, which is responsible for subsamples with different purity and completeness characteristics. Also, We keep the nearest object in 5 arcmin window (before all objects in 5 arcmin window). Also, now we cross-match objects from full catalogue with SZcat, before we crop 5 arcmin window from probability map and analyse groups
• v1.1 Negative RA coordinates in catalog are fixed (e.g -152.41666 -> 207.58333)
• v1.0 Initial release (in folder v1.0)

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Links & Citations

Main Paper (v2.0)

• Bibcode:2024MNRAS.531.1998V (ADS)
• arXiv:arXiv:2309.17077
• doi:10.1093/mnras/stae1269
• Vizier:ComPACT: J/MNRAS/531/1998

New Paper (v3.0 - Masses & Redshifts)

• Bibcode:2026A&A...711A.144V
• arXiv:arXiv:2605.20027
• doi:10.1051/0004-6361/202659201
• Vizier:ComPACT: J/A+A/711/A144