New Publication at the Open Journal of Astrophysics

It seems we’re on a bit of a roll at the Open Journal of Astrophysics as we have yet another new paper for me to announce. I think with the end of teaching quite a few authors are finding time to make their revised versions (which I should also be doing, come to think of it….)

Anyway the new paper, published yesterday, is the 11th paper in Volume 5 (2022) and the 59th in all. The latest publication is entitled “Bayesian error propagation for neural-net based parameter inference” and is written by Daniela Grandón of the University of Chile and Elena Sellentin of Leiden University.

It being mainly about the application of parameter inference to cosmology, this is another paper in the Instrumentation and Methods for Astrophysics folder.

Here is a screen grab of the overlay which includes the  abstract:


You can click on the image to make it larger should you wish to do so. You can find the arXiv version of the paper here.

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