J/A+A/678/A145 miniJPAS survey. clusters and galaxy groups (Maturi+, 2023)
The miniJPAS survey: clusters and galaxy groups detection with AMICO.
Maturi M., Finoguenov A., Lopes P.A.A., Gonzalez Delgado R.M., Dupke R.A.,
Cypriano E.S., Carrasco E.R., Diego J.M., Penna-Lima M., Vilchez J.M.,
Moscardini L., Marra V., Bonoli S., Rodriguez-Martin J.E., Zitrin A.,
Marquez I., Hernan-Caballero A., Jimenez-Teja Y., Abramo R., Alcaniz J.,
Benitez N., Carneiro S., Cenarro J., Cristobal-Hornillos D., Ederoclite A.,
Lopez-Sanjuan C., Marin-Franch A., Mendes de Oliveira C., Moles M.,
Sodre Jr.L., Taylor K., Varela J., Vazquez Ramio H.,
Fernandez-Ontiveros J.A.
<Astron. Astrophys. 678, A145 (2023)>
=2023A&A...678A.145M 2023A&A...678A.145M (SIMBAD/NED BibCode)
ADC_Keywords: Clusters, galaxy ; Surveys ; Redshifts ; X-ray sources ; Optical
Keywords: galaxies: clusters: general - galaxies: evolution -
galaxies: luminosity function, mass function
Abstract:
Samples of galaxy clusters allow us to better understand the physics
at play in galaxy formation and to constrain cosmological models once
their mass, position (for clustering studies) and redshift are known.
In this context, large optical data sets play a crucial role. We
investigate the capabilities of the Javalambre-Physics of the
Accelerating Universe Astrophysical Survey (J-PAS) in detecting and
characterizing galaxy groups and clusters. We analyze the data of the
miniJPAS survey, obtained with the JPAS-Pathfinder camera and covering
1deg2 centered on the AEGIS field to the same depths and with the
same 54 narrow band plus 2 broader band near-UV and near-IR filters
anticipated for the full J-PAS survey. We use the Adaptive Matched
Identifier of Clustered Objects (AMICO) to detect and characterize
groups and clusters of galaxies down to S/N=2.5 in the redshift range
0.05<z<0.8. We detect 80, 30 and 11 systems with signal-to-noise ratio
larger than 2.5, 3.0 and 3.5, respectively, down to ∼1013M☉/h.
We derive mass-proxy scaling relations based on Chandra and XMM-Newton
X-ray data for the signal amplitude returned by AMICO, the intrinsic
richness and a new proxy that incorporates the galaxies' stellar
masses. The latter proxy is made possible thanks to the J-PAS filters
and shows a smaller scatter with respect to the richness. We fully
characterize the sample and use AMICO to derive a probabilistic
membership association of galaxies to the detected groups that we test
against spectroscopy. We further show how the narrow band filters of
J-PAS provide a gain of up to 100% in signal-to-noise ratio in
detection and an uncertainty on the redshift of clusters of only
σz=0.0037(1+z) placing J-PAS in between broadband photometric
and spectroscopic surveys. The performances of AMICO and J-PAS with
respect to mass sensitivity, mass-proxies quality.
Description:
We present the galaxy groups and clusters based on the mini-JPAS data
and the AMICO algorithm (Adaptive Matched Identifier of Clustered
Objects). The mini-JPAS data cover an area of 1 deg2 centered on the
AEGIS field to the same depths, with the same 54 narrow band plus 2
broader band near-UV and near-IR filters anticipated for the full
J-PAS survey. The cluster sample is accompanied by two other
catalogues, one listing the cluster members (with probabilistic
associations) and listing the candidate clusters BGGs.
File Summary:
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FileName Lrecl Records Explanations
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ReadMe 80 . This file
clusters.dat 217 80 Galaxy clusters detections
members.dat 92 31792 Cluster members
bggs.dat 89 158 Clusters BGGs
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See also:
J/A+A/645/A87 : Star-galaxy classification feature importance (Baqui+, 2021)
J/A+A/672/A137 : AGN and host galaxy co-evolution (Lopez+, 2023)
Byte-by-byte Description of file: clusters.dat
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Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 3 A3 --- Survey [JPm] Survey name (SURVEY)
5- 21 A17 --- Name Object name (JHHMMSS.ss+DDMMSS) (NAME)
23- 24 I2 --- Cluster [1/80] Unique identification number of
the cluster (ID)
26- 29 I4 --- AMICO [1/1144] AMICO identification number
(IDAMICO)
31- 38 F8.4 deg RAdeg Right Ascension (J2000) (RA)
40- 46 F7.4 deg DEdeg Declination (J2000) (DEC)
48- 51 F4.2 --- z Redshift (Z)
53- 57 F5.3 --- e_z 1-sigma uncertainty of Z (ZERR)
59- 63 F5.3 --- zProb Redshift based on AMICO membership
(ZPROB)
65- 69 F5.3 --- e_zProb 1-sigma uncertainty of ZPROB (ZPROB_ERR)
71- 79 F9.5 --- zsp ?=-99 Spectroscopic redshift
(when available) (ZSPEC)
81- 82 I2 --- NSpec Number of members with spectroscopic
redshift (NSPEC)
84- 87 F4.2 --- SN Signal-to-noise ratio of AMP;
noise = background + cluster (SN)
89- 93 F5.2 --- MaskFrac Fraction of the cluster inaccessible
because of mask (MASKFRAC)
95-100 F6.4 deg Rmedian Median separation of galaxies with P>50%
(RMEDIAN)
102-107 F6.4 deg R50 Radius at which
∫0rP(r)/∫0infP(r)=0.5
(R50)
109-114 F6.2 --- Rich Median separation of galaxies with P>50%
(RICH)
116-119 F4.2 --- Amp Signal amplitude (AMP)
121-124 F4.2 --- e_Amp 1 sigma error on Amp (AMPERR)
126-131 F6.2 --- Lambda Richness based on memberships (LAMBDA)
133-137 F5.2 --- e_Lambda 1 sigma error on Lambda (LAMBDAERR)
139-143 F5.2 --- LambdaStar Richness based on membership and
mr<mstar+1.5 and r<rvir
(LAMBDASTAR)
145-148 F4.2 --- e_LambdaStar 1 sigma error on LambdaStar
(LAMBDASTARERR)
150-153 F4.2 10+12Msun LambdaMstar Total stellar mass based on membership
and log10(Mstar)>9.5 (LAMBDAMSTAR)
155-158 F4.2 10+12Msun e_LambdaMstar 1-sigma uncertainty on LambdaMstar
(LAMBDAMSTARERR)
160-164 F5.3 10+13Msun MassAX Mass based on the amplitude and the X-ray
scaling relation (MASSAX)
166-170 F5.3 10+13Msun e_MassAX 1-sigma uncertainty of MassAX (MASSAXERR)
172-177 F6.3 10+13Msun MassX ?=0 Mass based on X-rays (MASSX)
179-184 F6.3 10+13Msun e_MassX ?=0 1-sigma uncertainty on MassX
(MASSXERR)
186-191 F6.3 10+35W LX ?=0 X-ray luminosity (in 1042erg/s)
(LX)
193-198 F6.3 10+35W e_LX ?=0 1-sigma uncertainty on LX
(in 1042erg/s) (LXERR)
200-205 F6.2 --- SNX ?=-99 Signal-to-noise ratio of the
X-ray flux (SNX)
207-211 I5 --- IDBCG1 Identification number of the BGG galaxy,
first choice (IDBCG1)
213-217 I5 --- IDBCG2 Identification number of the BGG galaxy,
second choice (IDBCG2)
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Byte-by-byte Description of file: members.dat
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Bytes Format Units Label Explanations
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1- 5 I5 --- Galaxy [83/20866] Galaxy identification number (ID)
7- 15 F9.5 deg RAdeg Right ascension (J2000) (RA)
17- 25 F9.6 deg DEdeg Declination (J2000) (DEC)
27- 35 F9.5 pix Xpix Sky position in the AMICO amplitude maps
fits file (Xpix)
37- 46 F10.6 pix Ypix Sky position in the AMICO amplitude maps
fits file (Ypix)
48- 56 F9.6 mag r'mag r' magnitude (RMAG)
58- 69 F12.10 --- PField [0/1] Probability to belong to the field
(FIELDPROB)
71- 74 I4 --- Assoc [1/1144] Identification number of the AMICO
associated cluster (ASSOCIT)
76- 87 F12.10 --- PAssoc [0/1] Probabilistic membership association of
galaxies to clusters (ASSOCPROB)
89- 92 I4 --- Tile Identification number of the tile
(optical image) (TILEID)
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Byte-by-byte Description of file: bggs.dat
--------------------------------------------------------------------------------
Bytes Format Units Label Explanations
--------------------------------------------------------------------------------
1- 5 I5 --- Galaxy [292/20812] Galaxy identification number
(GALID)
7- 15 F9.5 deg RAdeg Right ascension (J2000) (RA)
17- 25 F9.6 deg DEdeg Declination (J2000) (DEC)
27- 35 F9.5 pix Xpix Sky position in the AMICO amplitude maps
fits file (Xpix)
37- 46 F10.6 pix Ypix Sky position in the AMICO amplitude maps
fits file (Ypix)
48- 56 F9.6 mag r'mag r' magnitude (RMAG)
58- 69 F12.10 --- PField [0/1] Probability to belong to the field
(FIELDPROB)
71 I1 --- Nassoc Number of associated detections (ASSOCNUMBER)
73- 76 I4 --- Assoc [1/1144] Identification number of the AMICO
associated cluster (ASSOCID)
78- 87 F10.8 --- PAssoc [0/1] Probabilistic membership association of
galaxies to clusters (ASSOCPROB)
89 I1 --- Rank [1/2] Rank of the galaxy:
1 = brightest, 2 = second brightest (CDRANK)
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Acknowledgements:
Matteo Maturi, maturi(at)uni-heidelberg.de
(End) Patricia Vannier [CDS] 28-Jul-2023