Using DL (CNNs) and ML (Tree-based methods) on image pixels and other extracted features (eg: FFT) for classification of merger galaxies.
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Updated
Aug 16, 2021 - Jupyter Notebook
Using DL (CNNs) and ML (Tree-based methods) on image pixels and other extracted features (eg: FFT) for classification of merger galaxies.
Testing some methods for recognize the morphology of a galaxy, based only on the images.
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.
Files and Jupyter notebooks for paper on frequency and sizes of double bars and nuclear rings in local barred galaxies.
Repository contente la mia soluzione al progetto dell'esame di Introduction To Machine Learning svolto nel 2021.
Files and code for reproducing analysis and figures in Erwin et al. (2020) paper on NGC 4608 and NGC 4643.
Scientific Initiation Reports in Computer Engineering and Astronomy
Classifying galaxies based on spectral analysis
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.
Creating a Convolutionional Neural Network to Identify Jellyfish Galaxies
Merger galaxies classification using deep learning
Galaxy morphology classification with Convolutional Neural Networks
A report on seminar conducted on Galaxy Morphology classification by me in my Junior year at college
Files and Jupyter notebooks for paper on sizes of bars in spiral galaxies, using S4G data
Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"
Unsupervised galaxy masking to remove background source detections
Files and Jupyter notebooks for paper on bar major-axis profiles
Repository of my Bachelor Thesis in Physics about Machine Learning Models For Galaxy Morphology
Data files, code, and Jupyter notebooks for paper on frequency of bars in spiral galaxies, using S4G data
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