sdss

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

Materials for SDSS 2019, Bellevue WA

Estimating galaxy gas mass fractions using SDSS imaging

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

Risk Changes SDSS development page

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

Interactive WebGPU 3D explorer for SDSS, GLADE, and 2MRS galaxy catalogs.

The SDSS Python template and coding standards.

SDSS observer graphical interface

FIREFLY is a chi-squared minimisation full fitting code for deriving stellar population properties from spectra. It fits combinations of single-burst stellar population models using the Bayesian Information Criterion and returns light- and mass-weighted ages, metallicities, dust attenuation, stellar mass, and star formation histories.

Curve fitting routines for astrophysical (SDSS) spectrographs

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 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

The Brain™ of Marvin.

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.

Product for managing the SDSS environment tree

Modeling tools for SDSS/APOGEE spectra

Empirical PSFs of GALEX, SDSS, and 2MASS