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In this Ph.D thesis three main projects are presented. In the first one the phenomenology associated with the neutralinos and charginos sector of the left-right symmetric supersymmetric model is explored. After a detailed motivation of the…

High Energy Physics - Phenomenology · Physics 2014-04-18 Adam Alloul

In this work we investigate the interaction between spin-zero and spin-one monopoles by making use of an effective field theory based on two-body and four-body interaction parts. In particular, we analyze the formation of bound state of…

High Energy Physics - Theory · Physics 2020-07-08 L. M. Abreu , M. de Montigny , P. P. A. Ouimet

Large language models (LLMs) are capable of emulating reasoning and using tools, creating opportunities for autonomous agents that execute complex scientific tasks. Protein design provides a natural testbed: although machine learning (ML)…

Low-Rank Adaptation (LoRA) is widely adopted for downstream fine-tuning of foundation models due to its efficiency and zero additional inference cost. Many real-world applications require foundation models to specialize in several specific…

Machine Learning · Computer Science 2025-09-30 Jian Liang , Wenke Huang , Xianda Guo , Guancheng Wan , Bo Du , Mang Ye

In hep-th/0501082, a field theoretic ``toy model'' for the Landscape was proposed. We show that the considerations of that paper carry through to realistic effective Lagrangians, such as those that emerge out of string theory. Extracting…

High Energy Physics - Theory · Physics 2007-05-23 Jacques Distler , Uday Varadarajan

We implement the effective field theory (EFT) approach to dark energy and modified gravity in the public Einstein-Boltzmann solver CAMB. The resulting code, which we dub EFTCAMB, is a powerful and versatile tool that can be used for several…

Cosmology and Nongalactic Astrophysics · Physics 2014-05-28 Bin Hu , Marco Raveri , Noemi Frusciante , Alessandra Silvestri

Foundation language models learn from their finetuning input context in different ways. In this paper, we reformulate inputs during finetuning for challenging translation tasks, leveraging model strengths from pretraining in novel ways to…

Computation and Language · Computer Science 2026-01-05 Brian Yu , Hansen Lillemark , Kurt Keutzer

We develop the geometric formulation of the Standard Model Effective Field Theory (SMEFT). Using this approach we derive all-orders results in the $\sqrt{2 \langle H^\dagger H \rangle}/\Lambda$ expansion relevant for studies of electroweak…

High Energy Physics - Phenomenology · Physics 2020-06-12 Andreas Helset , Adam Martin , Michael Trott

We present eHDECAY, a modified version of the program HDECAY which includes the full list of leading bosonic operators of the Higgs effective Lagrangian with a linear or non-linear realization of the electroweak symmetry and implements two…

High Energy Physics - Phenomenology · Physics 2015-06-19 Roberto Contino , Margherita Ghezzi , Christophe Grojean , Margarete Muhlleitner , Michael Spira

Lecture Notes, Summer School on Effective Theories and Fundamental Interactions, Erice, 1996. The application of effective field theory methods to the low energy structure of QCD is discussed. I emphasize the universal structure of the…

High Energy Physics - Phenomenology · Physics 2007-05-23 H. Leutwyler

We discuss the approach of effective field theory on a d-dimensional Euclidean space in a scalar theory with two different mass scales in the presence of flat surfaces. Then considering Dirichlet and Neumann boundary conditions, we…

High Energy Physics - Theory · Physics 2008-11-26 M. I. Caicedo , N. F. Svaiter

Recent progress in using effective field theory to describe two nucleon systems is reviewed.

Nuclear Theory · Physics 2007-05-23 Martin J. Savage

The rise of foundation models -- large, pretrained machine learning models that can be finetuned to a variety of tasks -- has revolutionized the fields of natural language processing and computer vision. In high-energy physics, the question…

High Energy Physics - Phenomenology · Physics 2026-01-12 Anna Hallin

Effective field theories (EFTs) are widely considered by physicists to be explanatory and to be the appropriate frameworks for modelling various phenomena at different scales. At the same time, they are known to be approximate, restricted,…

History and Philosophy of Physics · Physics 2025-07-08 Martin King

In a first part, we justify the feasibility of substituting a photon leg by a neutrino current in the Euler-Heisenberg Lagrangian to obtain an effective Lagrangian for the process $\gamma\nu\to\gamma\gamma \nu$ and its crossed reactions. We…

High Energy Physics - Phenomenology · Physics 2007-05-23 A. Abada , J. Matias , R. Pittau

We apply "hydrodynamic" effective field theory techniques to an ersatz Fermi liquid. Our effective theory, which captures the correlation functions of density operators at each angle on the Fermi surface, can only deviate from conventional…

Strongly Correlated Electrons · Physics 2024-07-09 Xiaoyang Huang , Andrew Lucas , Umang Mehta , Marvin Qi

An additive fast Fourier transform over a finite field of characteristic two efficiently evaluates polynomials at every element of an $\mathbb{F}_2$-linear subspace of the field. We view these transforms as performing a change of basis from…

Symbolic Computation · Computer Science 2018-07-23 Nicholas Coxon

We consider the Standard Model with an extended scalar sector, and study the possible effects of the physics underlying such a model using an effective lagrangian parametrization. It is found that certain two photon processes offer windows…

High Energy Physics - Phenomenology · Physics 2014-11-17 M. A. Perez , J. J. Toscano , J. Wudka

If the dynamics behind EWSB are of strongly-coupled nature, the Standard Model ceases to be renormalizable and should be instead understood as an effective field theory (EFT). Here I will discuss the systematics behind this effective field…

High Energy Physics - Phenomenology · Physics 2013-05-24 Oscar Cata

Interpretation methods and their restrictions to polynomials have been deeply used to control the termination and complexity of first-order term rewrite systems. This paper extends interpretation methods to a pure higher order functional…

Logic in Computer Science · Computer Science 2023-06-22 Emmanuel Hainry , Romain Péchoux