Parametrized classifiers for optimal EFT sensitivity
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Publication:2048077
DOI10.1007/JHEP05(2021)247zbMath1466.81058arXiv2007.10356MaRDI QIDQ2048077
Alfredo Glioti, Siyu Chen, Giuliano Panico, Andrea Wulzer
Publication date: 4 August 2021
Published in: Journal of High Energy Physics (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/2007.10356
Uses Software
Cites Work
- SMEFT@NLO
- The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
- Automation of the matrix element reweighting method
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- Optimized probes of \textit{CP}-odd effects in the \(t \bar{t} h\) process at hadron colliders
- Dimension-six terms in the Standard Model Lagrangian
- PYTHIA 6.4 physics and manual
- INFERNO: inference-aware neural optimisation
- IX. On the problem of the most efficient tests of statistical hypotheses
- Neural Network Learning
- Mining gold from implicit models to improve likelihood-free inference
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