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相关论文: Computing Tools for the SMEFT

200 篇论文

In this work we address three questions: can we successfully describe (observed) deviations from the standard model in the SMEFT language? Can we learn something about the underlying, beyond the standard model, physics using the SMEFT…

高能物理 - 唯象学 · 物理学 2020-09-02 André David , Giampiero Passarino

The Sixth International Workshops on Trends in Functional Programming in Education, TFPIE 2017, was held on 22 June 2017 at the University of Kent, in Canterbury, UK, and was co-located with TFP, the Symposium on Trends in Functional…

编程语言 · 计算机科学 2018-05-14 Simon Thompson

This volume contains the proceedings of F-IDE 2019, the fifth international workshop on Formal Integrated Development Environment, which was held on October 7, 2019 in Porto, Portugal, as part of FM'19, the 3rd World Congress on Formal…

软件工程 · 计算机科学 2019-12-23 Rosemary Monahan , Virgile Prevosto , Jose Proença

The workshop aims at reviewing the state of the art and the state of the practice in which formal methods and analysis approaches are currently applied in SPLE. This leads to a discussion of a research agenda for the extension of existing…

软件工程 · 计算机科学 2015-04-14 Joanne M. Atlee , Stefania Gnesi

Experiments in particle physics have hitherto failed to produce any significant evidence for the many explicit models of physics beyond the Standard Model (BSM) that had been proposed over the past decades. As a result, physicists have…

物理学史与哲学 · 物理学 2022-01-24 Philip Bechtle , Cristin Chall , Martin King , Michael Kraemer , Peter Maettig , Michael Stoeltzner

The search for effective field theory deformations of the Standard Model (SM) is a major goal of particle physics that can benefit from a global approach in the framework of the Standard Model Effective Field Theory (SMEFT). For the first…

高能物理 - 唯象学 · 物理学 2021-05-19 John Ellis , Maeve Madigan , Ken Mimasu , Veronica Sanz , Tevong You

We report codes for the Standard Model Effective Field Theory (SMEFT) in FeynRules -- the SMEFTsim package. The codes enable theoretical predictions for dimension six operator corrections to the Standard Model using numerical tools, where…

高能物理 - 唯象学 · 物理学 2019-08-12 Ilaria Brivio , Yun Jiang , Michael Trott

The Standard Model Effective Field Theory (SMEFT) provides a powerful theoretical framework for searching for subtle deviations from the Standard Model. In this talk, we present the results from a global fit of the dimension-6 operators of…

高能物理 - 唯象学 · 物理学 2022-12-02 Maeve Madigan

This volume contains the revised versions of papers presented at the Fourth International Workshop on Verification and Program Transformation (VPT 2016) on April 2, 2016 in Eindhoven, The Netherlands. The workshop is an event of the…

编程语言 · 计算机科学 2016-07-08 Geoff Hamilton , Alexei Lisitsa , Andrei P. Nemytykh

The Standard Model Effective Field Theory (SMEFT) provides a powerful, model-independent framework to explore deviations from the Standard Model (SM) by parametrising potential new physics through higher-dimensional operators. This thesis…

高能物理 - 唯象学 · 物理学 2026-02-06 Álvaro Díaz-Carmona

This volume contains a selection of papers presented at LFMTP 2018, the 13th international Workshop on Logical Frameworks and Meta-Languages: Theory and Practice (LFMTP), held on July 7, 2018, in Oxford, UK. The workshop was affiliated with…

计算机科学中的逻辑 · 计算机科学 2018-07-05 Frédéric Blanqui , Giselle Reis

In this contribution to the Snowmass 2021 process we review theoretical developments in the Standard Model Effective Field Theory (SMEFT) with a focus on effects at the dimension-8 level and beyond. We review the theoretical advances that…

This article summarizes motivations, organization, and activities of the Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE5.1) held in Manchester, UK in September 2017. The WSSSPE series promotes sustainable…

软件工程 · 计算机科学 2019-09-13 Daniel S. Katz , Stephan Druskat , Robert Haines , Caroline Jay , Alexander Struck

In Software Product Line Engineering (SPLE), a portfolio of similar systems is developed from a shared set of software assets. Claimed benefits of SPLE include reductions in the portfolio size, cost of software development and time to…

软件工程 · 计算机科学 2016-03-30 Julia Rubin , Thomas Thüm

This volume contains the post-proceedings of the Tenth International Workshop on Graph Computation Models (GCM 2019: http://gcm2019.imag.fr). The workshop was held in Eindhoven, The Netherlands, on July 17th, 2019, as part of STAF 2019…

计算机科学中的逻辑 · 计算机科学 2019-12-20 Rachid Echahed , Detlef Plump

The emergence of foundation models, such as the Segment Anything Model (SAM), has sparked interest in Parameter-Efficient Fine-Tuning (PEFT) methods that tailor these large models to application domains outside their training data. However,…

计算机视觉与模式识别 · 计算机科学 2024-05-02 Rajat Sahay , Andreas Savakis

This volume contains the joint proceedings of IMPEX 2017, the first workshop on Handling IMPlicit and EXplicit knowledge in formal system development and FM&MDD, the second workshop on Formal and Model-Driven Techniques for Developing…

计算机科学中的逻辑 · 计算机科学 2018-05-15 Régine Laleau , Dominique Méry , Shin Nakajima , Elena Troubitsyna

This volume contains the papers selected among those which were presented at the 3rd International Workshop on Verification and Program Transformation (VPT 2015) held in London, UK, on April 11th, 2015. Previous editions of the Workshop…

计算机科学中的逻辑 · 计算机科学 2015-12-09 Alexei Lisitsa , Andrei P. Nemytykh , Alberto Pettorossi

This volume contains the proceedings of the Workshop on Quantities in Formal Methods, QFM 2012, held in Paris, France on 28 August 2012. The workshop was affiliated with the 18th Symposium on Formal Methods, FM 2012. The focus of the…

计算机科学中的逻辑 · 计算机科学 2012-12-17 Uli Fahrenberg , Axel Legay , Claus Thrane

As foundation models continue to exponentially scale in size, efficient methods of adaptation become increasingly critical. Parameter-efficient fine-tuning (PEFT), a recent class of techniques that require only modifying a small percentage…

计算与语言 · 计算机科学 2023-05-01 George Pu , Anirudh Jain , Jihan Yin , Russell Kaplan