activity
20182026
most citedExtending Supernova Spectral Templates for Next-Generation Space Telescope Observations

56 citations · 85 across the 15 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

astro-ph.CO2025

A Fully Photometric Approach to Type Ia Supernova Cosmology in the LSST Era: Host Galaxy Redshifts and Supernova Classification

Ayan Mitra, Richard Kessler, Rebecca C. Chen +9

The upcoming Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST) is expected to discover nearly a million Type Ia supernovae (SNeIa), offering an unprecedented oppor…

astro-ph.CO2025★ 2 cited

Testing Lens Models of PLCK G165.7+67.0 Using Lensed SN H0pe

Aadya Agrawal, J. D. R. Pierel, Gautham Narayan +9

Supernova H0pe is a multiply-imaged Type Ia supernova (SN~Ia) and the second lensed SN to yield a measurement of the Hubble constant by the time-delay cosmography method, finding $…

gr-qc2025★ 1 cited

Neural Post-Einsteinian Test of General Relativity with the Third Gravitational-Wave Transient Catalog

Yiqi Xie, Gautham Narayan, Nicolás Yunes

Gravitational waves (GWs) from compact binaries are excellent probes of gravity in the strong- and dynamical-field regimes. We report a test of general relativity (GR) with the thi…

astro-ph.CO2025★ 2 cited

Characterising the Standardisation Properties of Type Ia Supernovae in the z band with Hierarchical Bayesian Modelling

Erin E. Hayes, Suhail Dhawan, Kaisey S. Mandel +21

Type Ia supernovae (SNe Ia) are standardisable candles: their peak magnitudes can be corrected for correlations between light curve properties and their luminosities to precisely e…

astro-ph.IM2025★ 7 cited

ORACLE: A Real-Time, Hierarchical, Deep-Learning Photometric Classifier for the LSST

Ved G. Shah, Alex Gagliano, Konstantin Malanchev +3

We present ORACLE, the first hierarchical deep-learning model for real-time, context-aware classification of transient and variable astrophysical phenomena. ORACLE is a recurrent n…