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Found 4 papers, 4 papers with code
Light Curve Classification with DistClassiPy: a new distance-based classifier
While tree-based models (e. g. Random Forests) and deep learning models dominate the field, we explore the use of different distance metrics to aid in the classification of astrophysical objects.
Photometric identification of compact galaxies, stars and quasars using multiple neural networks
We present MargNet, a deep learning-based classifier for identifying stars, quasars and compact galaxies using photometric parameters and images from the Sloan Digital Sky Survey (SDSS) Data Release 16 (DR16) catalogue.
Thermodynamic Properties of Ice: A Monte Carlo Study
In this text, we implement a monte carlo algorithm to study thermodynamic properties of ice.
Statistical Mechanics Disordered Systems and Neural Networks
Astronomical Classification of Light Curves with an Ensemble of Gated Recurrent Units
In this text, we report our results of experimenting with Bidirectional Gated Recurrent Unit (GRU) based deep learning models to deal with time series data of the PLAsTiCC dataset.
Instrumentation and Methods for Astrophysics
