GitHub topics: quasars
octoflar/especia
Evolutionary spectrum inversion and analysis
Language: C++ - Size: 31.6 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 1
frank01101/quasar_candidates
Exploratory data analysis in Python of the quasar candidates catalog by Richards et al., ApJS 219 (2015).
Language: Jupyter Notebook - Size: 19.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
chetnaduggal/ifu-3D-datacube-analysis
Analysis of the SINFONI integral-field data for powerful radio-quasar 3C 297
Language: Jupyter Notebook - Size: 106 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
sidchaini/MargNet
A repository containing our code for our paper, "Photometric identification of compact galaxies, stars and quasars using multiple neural networks".
Language: Jupyter Notebook - Size: 528 MB - Last synced at: 10 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2
AndrewWren/Quasar-mass-machine-learning
Using machine learning to predict the mass of quasar supermassive black holes
Language: Jupyter Notebook - Size: 47.1 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0
mofokeng-chaka/Classification-Photo-z_Regression_Demo
A tutorial on classification and photometric redshift regression of astronomical sources using supervised machine learning techniques.
Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1
sarthak7gupta/ClassifyingStarsAndQuasars
Separating Stars from Quasars: Machine Learning Investigation Using Photometric Data
Language: Python - Size: 13.4 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 1
