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Two of the most important parameters in supersymmetry are the masses of the stop and sbottom, the supersymmetric partners of the third generation quarks. A stop mass lighter than 1 TeV is favored theoretically; however, "conventional"…

High Energy Physics - Experiment · Physics 2017-10-09 Keisuke Yoshihara

Artificial Intelligence problems, ranging form planning/scheduling up to game control, include an essential crucial step: describing a model which accurately defines the problem's required data, requirements, allowed transitions and…

Artificial Intelligence · Computer Science 2019-03-25 Andrei Arusoaie , Ionut Pistol

We investigate what new physics signatures the LHC can discover in the 2009-2010 run, beyond the expected sensitivity of the Tevatron data by 2010. We construct "supermodels", for which the LHC sensitivity even with only 10 inverse picobarn…

High Energy Physics - Phenomenology · Physics 2014-11-20 Christian W. Bauer , Zoltan Ligeti , Martin Schmaltz , Jesse Thaler , Devin G. E. Walker

This study focuses on a combined analysis of various available inputs to constrain the parameter spaces of a simplified dark matter (SDM) model featuring a spin-0 mediator and fermionic dark matter (DM). The spin-0 mediator interacts with…

High Energy Physics - Phenomenology · Physics 2024-10-29 Lipika Kolay , Soumitra Nandi

The version 3.0 of the DELPHES fast-simulation is presented. The goal of DELPHES is to allow the simulation of a multipurpose detector for phenomenological studies. The simulation includes a track propagation system embedded in a magnetic…

High Energy Physics - Experiment · Physics 2014-03-24 J. de Favereau , C. Delaere , P. Demin , A. Giammanco , V. Lemaître , A. Mertens , M. Selvaggi

Stock movement prediction remains fundamentally challenging due to complex temporal dependencies, heterogeneous modalities, and dynamically evolving inter-stock relationships. Existing approaches often fail to unify structural, semantic,…

Artificial Intelligence · Computer Science 2025-10-30 Peilin Tan , Liang Xie , Churan Zhi , Dian Tu , Chuanqi Shi

Simflowny is an open platform which automatically generates parallel code of scientific dynamical models for different simulation frameworks. Here we present major upgrades on this software to support an extended set of families of models,…

Mathematical Software · Computer Science 2018-07-04 A. Arbona , B. Miñano , A. Rigo , C. Bona , C. Palenzuela , A. Artigues , C. Bona-Casas , J. Massó

Statistical shape models (SSMs) are an established way to represent the anatomy of a population with various clinically relevant applications. However, they typically require domain expertise, and labor-intensive landmark annotations to…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Lennart Bastian , Alexander Baumann , Emily Hoppe , Vincent Bürgin , Ha Young Kim , Mahdi Saleh , Benjamin Busam , Nassir Navab

The size of 3D models used on the web or stored in databases is becoming increasingly high. Then, an efficient method that allows users to find similar 3D objects for a given 3D model query has become necessary. Keywords and the geometry of…

Information Retrieval · Computer Science 2011-11-29 My Abdellah Kassimi , Omar El beqqali

We introduce a new set of simplified models to address the effects of 3-point interactions between the dark matter particle, its dark co-annihilation partner, and the Standard Model degree of freedom, which we take to be the tau lepton. The…

High Energy Physics - Phenomenology · Physics 2017-06-13 Valentin V. Khoze , Alexis D. Plascencia , Kazuki Sakurai

The phenomenology entailed by a scalar resonance in a top partner model is analysed here in a $SO(5)$ Composite Higgs formalism. Heavy scalar resonances production and their decays modes are explored along a benchmark resonance mass range.…

High Energy Physics - Phenomenology · Physics 2018-08-16 Sebastián Norero , Juan Yepes , Alfonso Zerwekh

We report the results of a global analysis of dark matter simplified models (DMSMs) with leptophobic mediator particles of spin one, considering the cases of both vector and axial-vector interactions with dark matter (DM) particles and…

The search for heavy Higgs bosons is an important step to probe the parameter space of the Minimal Supersymmetric Standard Model. In this work, we classify all possible decay modes of the supersymmetric heavy Higgs boson using the SModelS…

High Energy Physics - Phenomenology · Physics 2017-11-02 Suchita Kulkarni , Lukas Lechner

The observation of resonances is unequivocal evidence of new physics beyond the Standard Model at the Large Hadron Collider (LHC). So far, inclusive and model dependent searches have not provided evidence of new resonances, indicating that…

High Energy Physics - Experiment · Physics 2021-11-29 Salah-eddine Dahbi , Joshua Choma , Bruce Mellado , Gaogalalwe Mokgatitswane , Xifeng Ruan , Benjamin Lieberman , Turgay Celik

Test-time scaling investigates whether a fixed diffusion language model (DLM) can generate better outputs when given more inference compute, without additional training. However, naive best-of-$K$ sampling is fundamentally limited because…

For helical isotropic turbulence, an improved two-term helical subgrid-scale (SGS) model is proposed and four types of dynamic methods are given to do large-eddy simulation (LES), which include the standard dynamic procedure, the least…

Fluid Dynamics · Physics 2014-08-13 changping Yu

In medical imaging, vision-language models face a critical duality: pretrained networks offer broad robustness but lack subtle, modality-specific characteristics, while fine-tuned expert models achieve high in-distribution accuracy yet…

Computer Vision and Pattern Recognition · Computer Science 2025-11-03 Raza Imam , Hu Wang , Dwarikanath Mahapatra , Mohammad Yaqub

We report the results of a numerical search for non-topological solitons in the two-Higgs standard model, characterized by the non-trivial winding, $\pi_3(S^3)$, of the relative phase of the two doublets. In a region of (weak-coupling)…

High Energy Physics - Phenomenology · Physics 2009-10-28 C. Bachas , P. Tinyakov , T. N. Tomaras

Establishing accurate point-to-point correspondences between non-rigid 3D shapes remains a critical challenge, particularly under non-isometric deformations and topological noise. Existing functional map pipelines suffer from ambiguities…

Computer Vision and Pattern Recognition · Computer Science 2026-03-16 Tianwei Ye , Xiaoguang Mei , Yifan Xia , Fan Fan , Jun Huang , Jiayi Ma
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