Scalable inference with autoregressive neural ratio estimation
N Anau Montel, J Alvey… - Monthly Notices of the …, 2024 - academic.oup.com
In recent years, there has been a remarkable development of simulation-based inference
(SBI) algorithms, and they have now been applied across a wide range of astrophysical and …
(SBI) algorithms, and they have now been applied across a wide range of astrophysical and …
SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data
K Karchev, M Grayling, BM Boyd… - Monthly Notices of …, 2024 - academic.oup.com
We present the first fully simulation-based hierarchical analysis of the light curves of a
population of low-redshift type Ia supernov aelig;(SN aelig; Ia). Our hardware-accelerated …
population of low-redshift type Ia supernov aelig;(SN aelig; Ia). Our hardware-accelerated …
Source confusion from neutron star binaries in ground-based gravitational wave detectors is minimal
Upgrades beyond the current second generation of ground-based gravitational wave
detectors will allow them to observe tens of thousands neutron star and black hole binaries …
detectors will allow them to observe tens of thousands neutron star and black hole binaries …
Fast likelihood-free reconstruction of gravitational wave backgrounds
A Dimitriou, DG Figueroa… - Journal of Cosmology and …, 2024 - iopscience.iop.org
We apply state-of-the-art, likelihood-free statistical inference (machine-learning-based)
techniques for reconstructing the spectral shape of a gravitational wave background (GWB) …
techniques for reconstructing the spectral shape of a gravitational wave background (GWB) …
Fast likelihood-free inference in the LSS Stage IV era
G Franco-Abellán, G Cañas-Herrera… - … of Cosmology and …, 2024 - iopscience.iop.org
Forthcoming large-scale structure (LSS) Stage IV surveys will provide us with
unprecedented data to probe the nature of dark matter and dark energy. However, analysing …
unprecedented data to probe the nature of dark matter and dark energy. However, analysing …
SIDE-real: Supernova Ia Dust Extinction with truncated marginal neural ratio estimation applied to real data
K Karchev, M Grayling, BM Boyd, R Trotta… - arXiv preprint arXiv …, 2024 - arxiv.org
We present the first fully simulation-based hierarchical analysis of the light curves of a
population of low-redshift type Ia supernovae (SNae Ia). Our hardware-accelerated forward …
population of low-redshift type Ia supernovae (SNae Ia). Our hardware-accelerated forward …
[PDF][PDF] Simulation-based inference for astrophysical data
N Anau Montel - EAS2024, 2024 - inspirehep.net
The fundamental goal of the physical sciences is to understand the laws that govern
physical phenomena. This process inherently involves a continuous interplay between …
physical phenomena. This process inherently involves a continuous interplay between …