147 citations · 1.8k across the 70 of their papers we have counts for
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Exploring the spectroscopic diversity of type Ia supernovae with DRACULA: a machine learning approach
Michele Sasdelli, E. E. O. Ishida, R. Vilalta +8
The existence of multiple subclasses of type Ia supernovae (SNeIa) has been the subject of great debate in the last decade. One major challenge inevitably met when trying to infer…
Massive stars exploding in a He-rich circumstellar medium - VIII. PSN J07285387+3349106, a highly reddened supernova Ibn
A. Pastorello, L. Tartaglia, N. Elias-Rosa +16
We present spectroscopic and photometric observations for the Type Ibn supernova (SN) dubbed PSN J07285387+3349106. Using data provided by amateur astronomers, we monitored the pho…
Massive stars exploding in a He-rich circumstellar medium - VII. The metamorphosis of ASASSN-15ed from a narrow line Type Ibn to a normal Type Ib Supernova
A. Pastorello, J. L. Prieto, N. Elias-Rosa +39
We present the results of the spectroscopic and photometric monitoring campaign of ASASSN-15ed. The transient was discovered quite young by the All Sky Automated Survey for SuperNo…
Using gamma regression for photometric redshifts of survey galaxies
J. Elliott, R. S. de Souza, A. Krone-Martins +3
Machine learning techniques offer a plethora of opportunities in tackling big data within the astronomical community. We present the set of Generalized Linear Models as a fast alte…
The Overlooked Potential of Generalized Linear Models in Astronomy-III: Bayesian Negative Binomial Regression and Globular Cluster Populations
R. S. de Souza, J. M. Hilbe, B. Buelens +5
In this paper, the third in a series illustrating the power of generalized linear models (GLMs) for the astronomical community, we elucidate the potential of the class of GLMs whic…
cosmoabc: Likelihood-free inference via Population Monte Carlo Approximate Bayesian Computation
E. E. O. Ishida, S. D. P. Vitenti, M. Penna-Lima +5
Approximate Bayesian Computation (ABC) enables parameter inference for complex physical systems in cases where the true likelihood function is unknown, unavailable, or computationa…