185 citations · 1.9k across the 31 of their papers we have counts for
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Euclid preparation: XXIII. Derivation of galaxy physical properties with deep machine learning using mock fluxes and H-band images
Euclid Collaboration, L. Bisigello, C. J. Conselice +196
Next generation telescopes, like Euclid, Rubin/LSST, and Roman, will open new windows on the Universe, allowing us to infer physical properties for tens of millions of galaxies. Ma…
A new analytical scattering phase function for interstellar dust
Maarten Baes, Peter Camps, Anand Utsav Kapoor
Context: Properly modelling scattering by interstellar dust grains requires a good characterisation of the scattering phase function. The Henyey-Greenstein phase function has becom…
The interstellar medium in the environment of the supernova-less long-duration GRB 111005A
Aleksandra Leśniewska, M. J. Michałowski, P. Kamphuis +17
Long ( s) gamma ray bursts (GRBs) are associated with explosions of massive stars, although in three instances, supernovae (SNe) have not been detected, despite deep observatio…