Data access and visualization for MaNGA.http://sdss-marvin.readthedocs.io/en/latest/

• UpdatedFeb 5, 2025
• Python

Materials for SDSS 2019, Bellevue WA

• UpdatedDec 27, 2019

Estimating galaxy gas mass fractions using SDSS imaging

• UpdatedNov 30, 2020
• Jupyter Notebook

Using SDSS imaging to predict galaxy metallicity. Maintained by@jwuphysics@boada

• UpdatedJan 3, 2020
• Jupyter Notebook

Risk Changes SDSS development page

• UpdatedJul 4, 2024
• Python

Retrieve and analysis data from SDSS (Sloan Digital Sky Survey)

• UpdatedNov 1, 2023
• Python

The SDSS Python template and coding standards.

• UpdatedJan 7, 2022
• Python

SDSS observer graphical interface

• UpdatedMay 31, 2024
• TypeScript

A tutorial on classification and photometric redshift regression of astronomical sources using supervised machine learning techniques.

• UpdatedNov 12, 2021
• Jupyter Notebook

Using machine learning to predict the mass of quasar supermassive black holes

• UpdatedDec 13, 2020
• Jupyter Notebook

The Illustris Virtual Observatory is an expanded iteration of the Sunpy module(ptorrey) for creating synthetic SDSS, HST, or JWST images of galaxies from the Illustris simulation. For instructions on how to install/use this program, please go to this address:

• UpdatedApr 13, 2020
• Python

The Brain™ of Marvin.

• UpdatedJul 27, 2022
• Python

Curve fitting routines for astrophysical (SDSS) spectrographs

• UpdatedApr 29, 2018
• Jupyter Notebook

TensorFlow implementations of a Restricted Boltzmann Machine and an unsupervised Deep Belief Network, including unsupervised fine-tuning of the Deep Belief Network.

• UpdatedApr 1, 2017
• Python

Modeling tools for SDSS/APOGEE spectra

• UpdatedFeb 8, 2023
• Python

This repository contains the code and data for the Astronomical Object Classification Project. The project focuses on classifying celestial objects (stars, galaxies, and quasars) based on their spectral characteristics using data from the Sloan Digital Sky Survey (SDSS).

• UpdatedSep 10, 2023
• Jupyter Notebook

Repo for a Data analysis project to find Distances, Luminosities, Fluxes, Star Formation Rates, and WISE image processing for galaxies in the MaNGA survey.

• UpdatedJul 22, 2020
• Python

A selection of workbooks to analsyse SDSS data

• UpdatedApr 29, 2018
• Jupyter Notebook

GaMorNet is a CNN based on AlexNet to classify galaxies morphologically

• UpdatedJun 30, 2022
• Jupyter Notebook

This project is a full machine learning pipeline for Star/Galaxy classification using the SDSS dataset. It also contains a detailed report on the development and a DockerFile to easily replicate the results.

• UpdatedJul 18, 2023
• TeX