877 citations · 7.1k across the 96 of their papers we have counts for
4 papers · 1 filter
Spitzer Planck Herschel Infrared Cluster (SPHerIC) survey: Candidate galaxy clusters at 1.3 < z < 3 selected by high star-formation rate
C. Martinache, A. Rettura, H. Dole +17
There is a lack of large samples of spectroscopically confirmed clusters and protoclusters at high redshifts, 1.5. Discovering and characterizing distant (proto-)clusters is im…
The VIMOS Public Extragalactic Redshift Survey (VIPERS). Unsupervised classification with photometric redshifts: a method to accurately classify large galaxy samples without spectroscopic information
M. Siudek, K. Małek, A. Pollo +35
Techniques to classify galaxies solely based on photometry will be necessary for future large cosmology missions, such as Euclid or LSST. However, the precision of classification i…
The VIMOS Public Extragalactic Redshift Survey (VIPERS). The complexity of galaxy populations at 0.4< z<1.3 revealed with unsupervised machine-learning algorithms
M. Siudek, K. Małek, A. Pollo +37
Various galaxy classification schemes have been developed so far to constrain the main physical processes regulating evolution of different galaxy types. In the era of a deluge of…
Using ALMA to resolve the nature of the early star-forming large-scale structure PLCK G073.4-57.5
Rüdiger Kneissl, Maria del Carmen Polletta, Clement Martinache +10
Galaxy clusters at high redshift are key targets for understanding matter assembly in the early Universe, yet they are challenging to locate. A sample of >2000 high-z candidate str…