Testing some methods for recognize the morphology of a galaxy, based only on the images.
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Updated
Jan 17, 2019 - MATLAB
Testing some methods for recognize the morphology of a galaxy, based only on the images.
Classifying galaxies based on spectral analysis
Scientific Initiation Reports in Computer Engineering and Astronomy
Repository contente la mia soluzione al progetto dell'esame di Introduction To Machine Learning svolto nel 2021.
Files and Jupyter notebooks for paper on frequency and sizes of double bars and nuclear rings in local barred galaxies.
Files and code for reproducing analysis and figures in Erwin et al. (2020) paper on NGC 4608 and NGC 4643.
Creating a Convolutionional Neural Network to Identify Jellyfish Galaxies
Merger galaxies classification using deep learning
A report on seminar conducted on Galaxy Morphology classification by me in my Junior year at college
Files and Jupyter notebooks for paper on bar major-axis profiles
Using DL (CNNs) and ML (Tree-based methods) on image pixels and other extracted features (eg: FFT) for classification of merger galaxies.
The Paper for Galaxy Morphology Classification using EfficientNets
Website do grupo de pesquisa: IAG Machine Learning - Sistemas inteligentes para descoberta em astronomia. Instituto de Astronomia, Geofísica e Ciências Atmosféricas da Universidade de São Paulo - IAG/USP. Para acessar o código fonte do website, acesse: https://github.com/iagml/website. Este repositório possui apenas código gerado.
A python based machine learning toolkit for recovering the kinematic disorder of galaxies based on their velocity maps as well as returning an inclination-dependent position angle prediction for further kinematic modelling.
Using Deep Learning tools in Galaxy Morphology as part of Inter-University Center for Astronomy and Astrophysics (IUCAA)
Galaxy morphology classification with Convolutional Neural Networks
Files and Jupyter notebooks for paper on sizes of bars in spiral galaxies, using S4G data
Data files, code, and Jupyter notebooks for paper on frequency of bars in spiral galaxies, using S4G data
Repository of my Bachelor Thesis in Physics about Machine Learning Models For Galaxy Morphology
This repository contains the code Profiler, a Python program for decomposing galaxy light profiles in 1D
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