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

Materials for SDSS 2019, Bellevue WA

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

Risk Changes SDSS development page

Estimating galaxy gas mass fractions using SDSS imaging

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

The SDSS Python template and coding standards.

The Brain™ of Marvin.

Curve fitting routines for astrophysical (SDSS) spectrographs

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:

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

SDSS observer graphical interface

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).

A selection of workbooks to analsyse SDSS data

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

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

Product for managing the SDSS environment tree

GaMorNet is a CNN based on AlexNet to classify galaxies morphologically

Modeling tools for SDSS/APOGEE spectra

Tutorial notebooks of the course "Introduction to AGNs" at the University of Belgrade in Spring 2023. Instructors: Dragana Ilic, Isidora Jankov