Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
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Updated
Jan 3, 2024 - Jupyter Notebook
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
Astrostatistics class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
Functional Posterior Plotter
Joint X-ray and SZ data fitting code for galaxy clusters in Python
Better Radial velocities from Stellar Spectroscopy via Machine Learning
python package to measure power spectrum and bispectrum
An efficient Python implementation for Bayesian inference in binary stars based on Stan.
Scalpels algorithm
Computes Cross Correlation Functions (CCFs) with RvSpectML
This repository contains all the code (in the form of Jupyter Notebooks) to reproduce the results in our paper, "Light Curve Classification with DistClassiPy: a new distance-based classifier"
Programs and files written for Astrostatistics for IB Physics IA. Topic: Visualizing and analyzing the habitable zones for 150,000 stars from the hipparcos catalogue.
Base package to be imported by other members of RvSpectML ecosystem
Research presentations on Astronomy and Astrostatistics
Variable Star Signature Classification using Slotted Symbolic Markov Modeling
Repo for RvSpectML code still in the experimental stage
O'Connell Effect Detector using Push-Pull Learning
This repository contains the documentation and archived code to create TolTEC simulated maps using the SIDES catalog (Bethermin et al. 2017) and the source extraction algorithm used for analyzing these maps.
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