Comment on "An implementation of neural simulation-based inference for parameter estimation in ATLAS''
Methodology
2025-05-27 v1 High Energy Physics - Experiment
High Energy Physics - Phenomenology
Abstract
The paper titled "An implementation of neural simulation-based inference for parameter estimation in ATLAS" by the ATLAS collaboration (arXiv:2412.01600v1 [hep-ex]) describes the implementation of neural simulation-based inference for a measurement analysis performed by ATLAS. The uncertainties in the analysis arising from the finiteness of the simulated datasets are estimated using a novel double-bootstrapping technique described in that work. In the present comment, it is claimed and demonstrated, using a toy example, that the double-bootstrapping technique does not actually capture the aforementioned uncertainties.
Keywords
Cite
@article{arxiv.2505.19156,
title = {Comment on "An implementation of neural simulation-based inference for parameter estimation in ATLAS''},
author = {Prasanth Shyamsundar},
journal= {arXiv preprint arXiv:2505.19156},
year = {2025}
}
Comments
11 pages, 0 figures; comment on arXiv:2412.01600v1