A vision transformer classifier trained on simulated and real Euclid data recovers all known strong lenses in test sets and finds 8 Grade A plus 26 Grade B new candidates in the Q1 data.
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2 Pith papers cite this work. Polarity classification is still indexing.
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SciPICal calibrates galaxy properties in halo-based mocks for Euclid, delivering improved clustering predictions and a deep catalogue validated to 15 percent against observations.
citing papers explorer
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Euclid Quick Data Release (Q1). AstroVink: A vision transformer approach to find strong gravitational lens systems
A vision transformer classifier trained on simulated and real Euclid data recovers all known strong lenses in test sets and finds 8 Grade A plus 26 Grade B new candidates in the Q1 data.
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Euclid. Populating a dark universe with galaxies using SciPIC
SciPICal calibrates galaxy properties in halo-based mocks for Euclid, delivering improved clustering predictions and a deep catalogue validated to 15 percent against observations.