Predicting the black hole mass and correlations in X-ray reverberating AGN using neural networks

P. Chainakun, I. Fongkaew, S. Hancock +1

We develop neural network models to predict the black hole mass using 22 reverberating AGN samples in the XMM-Newton archive. The model features include the fractional excess varia…