activity
20192026
most citedHOLISMOKES -- II. Identifying galaxy-scale strong gravitational lenses in Pan-STARRS using convolutional neural networks

78 citations · 682 across the 30 of their papers we have counts for

collaborators
Showing astro-ph.IMShow all

5 papers · 1 filter

astro-ph.IM2026

OASIS: On-the-fly ASynchronous Image Stream classification -- Transformer-based models for the early detection of strongly lensed supernovae

Satadru Bag, Raoul Canameras, Sherry H. Suyu +4

Time-domain surveys often produce asynchronous image sequences across irregular observation times and photometric bands. In many applications, predictions are needed after each new…

astro-ph.IM2025★ 3 cited

HOLISMOKES XVI: Lens search in HSC-PDR3 with a neural network committee and post-processing for false-positive removal

S. Schuldt, R. Cañameras, Y. Shu +6

We have carried out a systematic search for galaxy-scale lenses exploiting multi-band imaging data from the third public data release of the Hyper Suprime-Cam (HSC) survey with the…

astro-ph.IM2024★ 4 cited

HOLISMOKES XV. Search for strong gravitational lenses combining ground-based and space-based imaging

A. Melo, R. Cañameras, S. Schuldt +4

In the past, researchers have mostly relied on single-resolution images from individual telescopes to detect gravitational lenses. We propose a search for galaxy-scale lenses that,…

astro-ph.IM2024

Euclid: Searches for strong gravitational lenses using convolutional neural nets in Early Release Observations of the Perseus field

R. Pearce-Casey, B. C. Nagam, J. Wilde +204

The Euclid Wide Survey (EWS) is predicted to find approximately 170 000 galaxy-galaxy strong lenses from its lifetime observation of 14 000 deg^2 of the sky. Detecting this many le…

astro-ph.IM2022★ 17 cited

HOLISMOKES -- IX. Neural network inference of strong-lens parameters and uncertainties from ground-based images

S. Schuldt, R. Cañameras, Y. Shu +4

Modeling of strong gravitational lenses is a necessity for further applications in astrophysics and cosmology. Especially with the large number of detections in current and upcomin…