Publications (7)
KiDS-1000: Weak lensing and intrinsic alignment around luminous red galaxies
Maria Cristina Fortuna, Andrej Dvornik, Henk Hoekstra +8
We study the properties of luminous red galaxies (LRGs) selected from the fourth data release of the Kilo Degree Survey (KiDS-1000) via galaxy-galaxy lensing of the background gala…
The dark matter halo masses of elliptical galaxies as a function of observationally robust quantities
Alessandro Sonnenfeld, Crescenzo Tortora, Henk Hoekstra +9
Context. The assembly history of the stellar component of a massive elliptical galaxy is closely related to that of its dark matter halo. Measuring how the properties of galaxies c…
Optical+NIR analysis of a Newly Confirmed Einstein ring at z1 from the Kilo-Degree Survey: Dark matter fraction, total and dark matter density slope and IMF
Rui Li, Nicola R. Napolitano, Giuseppe D Ago +16
We report the spectroscopic confirmation of a bright blue Einstein ring in the Kilo Degree Survey (KiDS) footprint: the Einstein ``blue eye''. Spectroscopic data from X-Shooter at…
The Secondary Standards programme for OmegaCAM at the VST
Gijs Verdoes Kleijn, Ronald Vermeij, Edwin Valentijn +1
The OmegaCAM wide-field imager will start operations at the ESO VLT Survey Telescope at Paranal, Chile, in 2007. The photometric calibration of OmegaCAM data depends on standard st…
Reducing false positives in strong lens detection through effective augmentation and ensemble learning
Samira Rezaei, Amirmohammad Chegeni, Bharath Chowdhary Nagam +4
This research studies the impact of high-quality training datasets on the performance of Convolutional Neural Networks (CNNs) in detecting strong gravitational lenses. We stress th…
Contrastive learning of extragalactic stellar streams. Sculpting a latent space of representations with DES DR2 photometry
Ernesto Benitez-Walz, Jelle Mes, Juan Miró-Carretero +2
We present a self-supervised approach for characterizing low surface brightness tidal features in wide-field imaging data by applying the nearest-neighbor contrastive learning of v…