galaxy-morphology

Multi-purpose lens modeling software package

Python code for calculating non-parametric morphological diagnostics of galaxy images.

Python wrapper for astronomical image-fitting code Imfit (https://github.com/perwin/imfit)

Imfit: an open-source astronomical image-fitting program.

ML framework to estimate Bayesian posteriors of galaxy morphological parameters

Unsupervised galaxy masking to remove background source detections

Official repository of code for "Galaxy Morphology Classification using EfficientNet Architectures"

Fine-tuning sd-1.5 for galaxy image generation by given morphological prompts.

Repo for my thesis research development at UC Riverside: "Classifying Galaxy Morphologies Using Bayesian Neural Networks for LSST"

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

My thesis on five best ML/DL models for galaxies and non-galaxy classification obtain new method for feature extraction.

Galaxy morphology classification with Convolutional Neural Networks

Data files, code, and Jupyter notebooks for paper on frequency of bars in spiral galaxies, using S4G data

Files and Jupyter notebooks for paper on sizes of bars in spiral galaxies, using S4G data

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)

Reviewed Euclid VIS and DINOv2 pipeline for regression, few-label morphology, quality-control triage, and retrieval

This project develops an automated pipeline for analyzing the morphology of post-starburst (E+A) galaxies using data from the Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST). Galaxy morphology provides important information about how galaxies form and evolve.