ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

ASCL Code Record

[ascl:2309.002] UBHM: Uncertainty quantification of black hole mass estimation

Uncertain_blackholemass predicts virial black hole masses using a neural network model and quantifies their uncertainties. The scripts retrieve data and run feature extraction and uncertainty quantification for regression. They can be used separately or deployed to existing machine learning methods to generate prediction intervals for the black hole mass predictions.

Code site:
https://github.com/yongsukyee/uncertain_blackholemass
Described in:
https://ui.adsabs.harvard.edu/abs/2023MNRAS.524.3116Y
Bibcode:
2023ascl.soft09002Y

Views: 624

ascl:2309.002
Add this shield to your page
Copy the above HTML to add this shield to your code's website.