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In this work, we study the renormalization-group evolution of parameters in the three-dimensional effective field theory (3D EFT) that describes the thermally driven electroweak phase transition of the Higgs field. We consider tree-level…

High Energy Physics - Phenomenology · Physics 2026-03-18 Mikael Chala , Andrii Dashko , Guilherme Guedes

With the discovery of the Higgs, we have access to a plethora of new physical processes that allow us to further test the SM and beyond. We show a convenient way to parametrize these physics using an effective theory for Higgs couplings,…

High Energy Physics - Phenomenology · Physics 2015-01-08 Alex Pomarol

Identifying a full basis of operators to a given order is key to the generality of Effective Field Theory (EFT) and is by now a problem of known solution in terms of the Hilbert series. The present work is concerned with hidden symmetry in…

High Energy Physics - Phenomenology · Physics 2024-12-13 Rodrigo Alonso , Shakeel Ur Rahaman

We report the first results from our comprehensive lattice tool set to explore non-perturbative aspects of Higgs physics in the Standard Model. We demonstrate in Higgs-Yukawa models that Higgs mass lower bounds and upper bounds can be…

High Energy Physics - Lattice · Physics 2009-04-14 Zoltan Fodor , Kieran Holland , Julius Kuti , Daniel Nogradi , Chris Schroeder

We introduce a framework, based on an effective field theory approach, that allows one to perform characterisation studies of the boson recently discovered at the LHC, for all the relevant channels and in a consistent, systematic and…

High Energy Physics - Phenomenology · Physics 2015-06-16 P. Artoisenet , P. de Aquino , F. Demartin , R. Frederix , S. Frixione , F. Maltoni , M. K. Mandal , P. Mathews , K. Mawatari , V. Ravindran , S. Seth , P. Torrielli , M. Zaro

We present a conceptual framework that unifies a variety of evaluation metrics for different structured prediction tasks (e.g. event and relation extraction, syntactic and semantic parsing). Our framework requires representing the outputs…

Computation and Language · Computer Science 2023-10-24 Yunmo Chen , William Gantt , Tongfei Chen , Aaron Steven White , Benjamin Van Durme

We present a systematic and reliable methodology, termed hierarchical mean-field theory (HMFT), to study and predict the behavior of strongly coupled many-particle systems. HMFT is a simple approximation, based upon group theoretical…

Strongly Correlated Electrons · Physics 2007-05-23 Gerardo Ortiz , Cristian D. Batista

Learning implicit templates as neural fields has recently shown impressive performance in unsupervised shape correspondence. Despite the success, we observe current approaches, which solely rely on geometric information, often learn…

Computer Vision and Pattern Recognition · Computer Science 2023-08-24 Sihyeon Kim , Minseok Joo , Jaewon Lee , Juyeon Ko , Juhan Cha , Hyunwoo J. Kim

Linear Standard Model (SM) extensions, defined as new particles that can couple linearly to SM fields, form a motivated and finite set of simplified models for exploring phenomenology Beyond the SM (BSM). Heavy BSM particles may be…

High Energy Physics - Phenomenology · Physics 2025-09-26 John Gargalionis , Jérémie Quevillon , Pham Ngoc Hoa Vuong , Tevong You

We discuss the validity of the Standard Model Effective Field Theory (SM EFT) as the low-energy effective theory for the two-Higgs-doublet Model (2HDM). Using the up-to-date Higgs signal strength measurements at the LHC, one can obtain a…

High Energy Physics - Phenomenology · Physics 2017-04-05 Hermès Bélusca-Maïto , Adam Falkowski , Duarte Fontes , Jorge C. Romão , João P. Silva

The idea of reduction of couplings provides a systematic procedure to search for relations among seemingly unrelated parameters of a renormalizable theory. As a consequence, such reduced theories exhibit more constrained parameter spaces.…

High Energy Physics - Phenomenology · Physics 2025-02-28 Wojciech Kotlarski , Gregory Patellis

Task transfer learning is a popular technique in image processing applications that uses pre-trained models to reduce the supervision cost of related tasks. An important question is to determine task transferability, i.e. given a common…

Machine Learning · Computer Science 2022-12-21 Yajie Bao , Yang Li , Shao-Lun Huang , Lin Zhang , Lizhong Zheng , Amir Zamir , Leonidas Guibas

We derive bounds from oblique parameters on the dimension-6 operators of an effective field theory of electroweak gauge bosons and the Higgs doublet. The loop- induced contributions to the S, T, and U oblique parameters are sensitive to…

High Energy Physics - Phenomenology · Physics 2014-02-05 Chien-Yi Chen , S. Dawson , Cen Zhang

It is well-known but sometimes overlooked that constraints on the oblique parameters (most notably $S$ and $T$ parameters) are generally speaking only applicable to a special class of new physics scenarios known as universal theories. In…

High Energy Physics - Phenomenology · Physics 2016-02-17 James D. Wells , Zhengkang Zhang

Decision-making in complex systems often relies on machine learning models, yet highly accurate models such as XGBoost and neural networks can obscure the reasoning behind their predictions. In operations research applications,…

Machine Learning · Computer Science 2025-02-28 Gaurav Arwade , Sigurdur Olafsson

Constraints on quartic interactions of the Higgs boson with gauge bosons have been obtained by the experimental LHC collaborations focussing on the so-called $\kappa$ framework of flat rescalings of SM-like interactions in weak boson fusion…

High Energy Physics - Phenomenology · Physics 2022-12-08 Anisha , Oliver Atkinson , Akanksha Bhardwaj , Christoph Englert , Panagiotis Stylianou

Analyzing time series data is crucial to a wide spectrum of applications, including economics, online marketplaces, and human healthcare. In particular, time series classification plays an indispensable role in segmenting different phases…

Machine Learning · Computer Science 2025-05-12 Xiwen Chen , Wenhui Zhu , Peijie Qiu , Hao Wang , Huayu Li , Zihan Li , Yalin Wang , Aristeidis Sotiras , Abolfazl Razi

Heat transfer simulations of the fused filament fabrication process are an important tool to predict bonding, residual stresses and strength of 3D printed parts. But in order to capture the significant thermal gradients that occur in the…

Computational Engineering, Finance, and Science · Computer Science 2023-05-08 Nathalie Ramos , Christoph Mittermeier , Josef Kiendl

Due to the absence of tantalising hints for new physics during the LHC's run 1, the extension of the Higgs sector by dimension six operators will provide the new phenomenological standard for searches of non-resonant extensions of the…

High Energy Physics - Phenomenology · Physics 2016-07-28 Christoph Englert , Roman Kogler , Holger Schulz , Michael Spannowsky

We derive an effective dimensionally reduced theory for the Standard Model augmented by a real singlet scalar. We treat the singlet as a superheavy field and integrate it out, leaving an effective theory involving only the Higgs and…

High Energy Physics - Phenomenology · Physics 2017-03-06 Tomáš Brauner , Tuomas V. I. Tenkanen , Anders Tranberg , Aleksi Vuorinen , David J. Weir