9 citations · 40 across the 10 of their papers we have counts for
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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…
HOLISMOKES XXI: Detecting strongly lensed type Ia supernovae from time series of multi-band LSST-like imaging data -- Part II
Satadru Bag, Raoul Canameras, Sherry H. Suyu +5
Strong gravitationally lensed supernovae (LSNe) are rare but extremely valuable probes of cosmology and astrophysics. Prompt identification within the alert streams of time-domain…
Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems
Euclid Collaboration, S. H. Vincken, K. Rojas +302
We present AstroVink, a vision transformer classifier designed for automated identification of strong lens candidates in Euclid imaging. We build upon the DINOv2 encoder, fine tune…
An accurate measurement of the spectral resolution of the JWST Near Infrared Spectrograph
Anowar J. Shajib, Tommaso Treu, Alejandra Melo +4
The spectral resolution () of spectroscopic data is crucial information for accurate kinematic measurements. In this letter, we present a robust measurement of the…
HOLISMOKES XVII: Detecting strongly lensed SNe Ia from time series of multi-band LSST-like imaging data
Satadru Bag, Raoul Canameras, Sherry H. Suyu +4
Strong gravitationally lensed supernovae (LSNe), though rare, are exceptionally valuable probes for cosmology and astrophysics. Upcoming time-domain surveys like the Vera Rubin Obs…
Detecting unresolved lensed SNe Ia in LSST using blended light curves
Satadru Bag, Simon Huber, Sherry H. Suyu +10
Strongly gravitationally lensed supernovae (LSNe) are promising probes for providing absolute distance measurements using gravitational-lens time delays. Spatially unresolved LSNe…