# Population-informed priors in gravitational-wave astronomy

@article{Moore2021PopulationinformedPI, title={Population-informed priors in gravitational-wave astronomy}, author={Christopher J. Moore and Davide Gerosa}, journal={Physical Review D}, year={2021} }

Christopher J. Moore ∗ and Davide Gerosa 2, 3 Institute for Gravitational Wave Astronomy & School of Physics and Astronomy, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK Dipartimento di Fisica “G. Occhialini”, Universitá degli Studi di Milano-Bicocca, Piazza della Scienza 3, 20126 Milano, Italy INFN, Sezione di Milano-Bicocca, Piazza della Scienza 3, 20126 Milano, Italy (Dated: November 11, 2021)

## One Citation

### Population-Level Inference of Strong Gravitational Lenses with Neural Network-Based Selection Correction

- Computer Science
- 2022

This work shows that it is possible to model the selection function of a CNN-based lens with a neural network classer, enabling fast inference of population-level parameters without the need for expensive Monte Carlo simulations.

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