Introduction¶
The “Cluster of Galaxies Data Products” is currenly described for the following Processing Functions:
DET-CL Data Products: Galaxy cluster detection [Priority 2]
- PF DET-CL shall provide, according to the requirements R-LE3-PRD-F-200 and R-LE3-PRD-F-201 of the RSD:
the catalogs of cluster candidates detected from the galaxy photometric catalog and the probability distribution functions of photometric redshifts from the spectroscopic catalog.
for each cluster candidate, the following quantities and uncertainties: central position (RA, DEC), redshift (spectroscopic whenever available, or photometric), characteristic size, mass-proxies such as richness, stellar mass, luminosity, signal to noise, velocity dispersion, number of galaxies with spectroscopic redshift available.
the cluster candidate members to be identified in the galaxy catalog through a membership probability
RICH-CL Data Products: Richness of galaxy clusters [Priority 3]
- PF-RICH-CL shall provide, according to the requirements R-LE3-PRD-F-210 and R-LE3-PRD-F-211 of the RSD:
the refined estimate of the richness of the cluster candidates
the photometric membership probability of belonging to any of the cluster candidates. The photometric membership probability will be used by Z-CL, LF-CL, MF-CL, PROF-CL.
SEL-CL Data Products: Selection Function of the the clusters detection [Priority 3]
- PF-SEL-CL shall provide, according to R-LE3-PRD-F-204, 205, 207 and 208:
some subsamples selected according to a range of parameters of the cluster catalogues
the selection function corresponding to the photometric cluster catalogue provided by each cluster detection algorithm as a function of redshift, richness or signal to noise, for all locations on the celestial sphere. The cluster selection function shall provide an estimate of the probability that a cluster of a given richness, had it existed in the Universe, would have been observed with Euclid
a random un-clustered catalogue that matches the angular and redshift selection of clusters and contains at least 50 times more objects than the cluster catalogue
CAT-CL Data Products: Selection Function of the the clusters detection [Priority 3]
- CAT-SEL-CL shall provide, according to R-LE3-PRD-F-201 & 202:
The catalogs of clusters identified by all the algorithms of DET-CL. These shall include the following quantities and associated uncertainties for each cluster candidate:
from DET-CL: central position in projected coordinates (right ascension and declination), signal-to-noise of the detection, richness or/and amplitude, detection redshift, detection size;
from Z-CL: refined redshifts (photometric and, if available, spectroscopic and a combination of the two);
from SIG-CL: velocity dispersion;
from PROF-CL: refined size estimate, refined center estimate ;
from RICH-CL: refined richness estimates (several estimates at different angular sizes); from LMF-CL: integrated luminosities and stellar masses (several estimates at the same angular sizes used to estimate the richness);
from COMB-CL: weak lensing mass estimates (several estimates at the same angular sizes used to estimate the richness)
CAT-CL should provide an algorithm that performs cross-identification of clusters found by different detection algorithms. In the catalogue, cross-identifications shall be flagged.
In the perspective of the participation of “Clusters” PF into SC8, a global “Clusters” Data Model is being prepared. Here is its DPDD : ref:PF-CLUSTER-CL . This description is open for discussion/corrections.