Data access and visualization for MaNGA. http://sdss-marvin.readthedocs.io/en/latest/
-
Updated
Jun 21, 2024 - Python
Data access and visualization for MaNGA. http://sdss-marvin.readthedocs.io/en/latest/
Using SDSS imaging to predict galaxy metallicity. Maintained by @jwuphysics @boada
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 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:
Curve fitting routines for astrophysical (SDSS) spectrographs
TensorFlow implementations of a Restricted Boltzmann Machine and an unsupervised Deep Belief Network, including unsupervised fine-tuning of the Deep Belief Network.
A tutorial on classification and photometric redshift regression of astronomical sources using supervised machine learning techniques.
SDSS observer graphical interface
Using machine learning to predict the mass of quasar supermassive black holes
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
GaMorNet is a CNN based on AlexNet to classify galaxies morphologically
Add a description, image, and links to the sdss topic page so that developers can more easily learn about it.
To associate your repository with the sdss topic, visit your repo's landing page and select "manage topics."