55 citations · 110 across the 6 of their papers we have counts for
6 papers
Evidence for a redshifted excess in the intracluster light fractions of merging clusters at
Yolanda Jiménez-Teja, Renato A. Dupke, Paulo A. A. Lopes +1
The intracluster light (ICL) fraction is a well-known indicator of the dynamical activity in intermediate-redshift clusters. Merging clusters in the redshift interval …
The miniJPAS survey: Optical detection of galaxy clusters with PZWav
L. Doubrawa, E. S. Cypriano, A. Finoguenov +21
Galaxy clusters are an essential tool to understand and constrain the cosmological parameters of our Universe. Thanks to its multi-band design, J-PAS offers a unique group and clus…
The miniJPAS survey: Maximising the photo-z accuracy from multi-survey datasets with probability conflation
A. Hernán-Caballero, M. Akhlaghi, C. López-Sanjuan +35
We present a new method for obtaining photometric redshifts (photo-z) for sources observed by multiple photometric surveys using a combination (conflation) of the redshift probabil…
The Role of Groups in Galaxy Evolution: compelling evidence of pre-processing out to the turnaround radius of clusters
P. A. A. Lopes, A. L. B. Ribeiro, D. Brambila
We present clear and direct evidence of the pre-processing effect of group galaxies falling into clusters in the local Universe (). We start with a sample of 238 cl…
Inverted metallicity gradients in two Virgo cluster star-forming dwarf galaxies: evidence of recent merging?
M. Grossi, R. García-Benito, A. Cortesi +5
We present integral field spectroscopy observations of two star-forming dwarf galaxies in the Virgo cluster (VCC135 and VCC324) obtained with PMAS/PPak at the Calar Alto 3.5 meter…
The miniJPAS survey: star-galaxy classification using machine learning
P. O. Baqui, V. Marra, L. Casarini +31
Future astrophysical surveys such as J-PAS will produce very large datasets, which will require the deployment of accurate and efficient Machine Learning (ML) methods. In this work…