106 citations · 233 across the 6 of their papers we have counts for
6 papers
Inferring properties of dust in supernovae with neural networks
Zoe Ansari, Christa Gall, Roger Wesson +1
Context. Determining properties of dust formed in and around supernovae from observations remains challenging. This may be due to either incomplete coverage of data in wavelength o…
The Early Phases of Supernova 2020pni: Shock-Ionization of the Nitrogen-Enriched Circumstellar Material
G. Terreran, W. V. Jacobson-Galan, J. H. Groh +20
We present multiwavelength observations of the Type II SN 2020pni. Classified at days after explosion, the object showed narrow (FWHM $<250\,\textrm{km}\,\textrm{s}^{-1}…
Mixture Models for Photometric Redshifts
Z. Ansari, A. Agnello, C. Gall
Determining photometric redshifts to high accuracy is paramount to measure distances in wide-field cosmological experiments. With only photometric information at hand, photo-zs are…
The Young Supernova Experiment: Survey Goals, Overview, and Operations
D. O. Jones, R. J. Foley, G. Narayan +68
Time domain science has undergone a revolution over the past decade, with tens of thousands of new supernovae (SNe) discovered each year. However, several observational domains, in…
Dynamical mass inference of galaxy clusters with neural flows
Doogesh Kodi Ramanah, Radosław Wojtak, Zoe Ansari +2
We present an algorithm for inferring the dynamical mass of galaxy clusters directly from their respective phase-space distributions, i.e. the observed line-of-sight velocities and…
Red Giant evolution in Modified Gravity
Sh. Najafi, M. T. Mirtorabi, Z. Ansari +1
In this paper, we study the chameleon profile in inhomogeneous density distributions and find that the fifth force in thin shell near the surface is weaker from what expected in ho…