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"
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Updated
Jul 30, 2024 - Jupyter Notebook
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"
Better Radial velocities from Stellar Spectroscopy via Machine Learning
Scripts for analyzing NEID Sun-as-a-star observations using RVSpectML
Computes Cross Correlation Functions (CCFs) with RvSpectML
Instrument-speciifc code for RvSpectML
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
Personal homepage
Functional Posterior Plotter
Project aims to determine the binary star fraction in the Globular Cluster NGC 5053 using data from 66 stars observed over three years using bayesian statistical inference.
Project aims at modeling the size distribution of sunspots greater than 60 millionths of a solar hemisphere (MSH) using a truncated log-normal distribution.
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
Project aims to estimate Hubble's constant by performing a linear regression analysis of redshifts and distances of Type Ia supernovae within a redshift of 0.1
Scalpels algorithm
Project Repository for IB physics extended essay
Base package to be imported by other members of RvSpectML ecosystem
python package to measure power spectrum and bispectrum
Astrostatistics class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
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.
An efficient Python implementation for Bayesian inference in binary stars based on Stan.
O'Connell Effect Detector using Push-Pull Learning
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