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Related papers: VecAmpFit: vectorized amplitude-analysis fitting l…

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This paper describes the optimisation theory on which VPFIT, a non-linear least-squares program for modelling absorption spectra, is based. Particular attention is paid to precision. Voigt function derivatives have previously been…

Instrumentation and Methods for Astrophysics · Physics 2021-10-20 John K. Webb , Robert F. Carswell , Chung-Chi Lee

We present the VECMA toolkit (VECMAtk), a flexible software environment for single and multiscale simulations that introduces directly applicable and reusable procedures for verification, validation (V&V), sensitivity analysis (SA) and…

We compare the methods of amplitude reconstruction, for a complete experiment and a truncated partial wave analysis, applied to the photoproduction of pseudo-scalar mesons. The approach is pedagogical, showing in detail how the amplitude…

Nuclear Theory · Physics 2017-01-25 R. L. Workman , L. Tiator , Y. Wunderlich , M. Doering , H. Haberzettl

With the scale of vision Transformer-based models continuing to grow, finetuning these large-scale pretrained models for new tasks has become increasingly parameter-intensive. Visual prompt tuning is introduced as a parameter-efficient…

Computer Vision and Pattern Recognition · Computer Science 2024-11-19 Runjia Zeng , Cheng Han , Qifan Wang , Chunshu Wu , Tong Geng , Lifu Huang , Ying Nian Wu , Dongfang Liu

A theoretical model is developed by exploiting the variational technique to investigate the evolution of an optical beam inside an optically pumped graded-index fiber amplifier. The variational analysis is a semi-analytical method that…

Optics · Physics 2023-10-24 Anuj P. Lara , Samudra Roy , Govind P. Agrawal

We introduce Adapters, an open-source library that unifies parameter-efficient and modular transfer learning in large language models. By integrating 10 diverse adapter methods into a unified interface, Adapters offers ease of use and…

Machine learning interatomic potentials (MLIPs) enable atomistic simulations with near ab initio accuracy at significantly reduced computational cost, but their broader adoption is often limited by fragmented tooling, limited scalability,…

There is a continuing effort to support and prepare the precision physics programs for the present and planned future colliders such as HL-LHC, FCC, CLIC, CEPC, and CPPC. We discuss new results from IR-improved amplitude-based resummation…

High Energy Physics - Phenomenology · Physics 2023-10-17 B. F. L. Ward , S. Jadach , W. Placzek , M. Skrzypek , Z. A. Was , S. A. Yost

ADAPT-VQE stands out as a robust algorithm for constructing compact ans\"atze for molecular simulation. It enables to significantly reduce the circuit depth with respect to other methods, such as UCCSD, while achieving higher accuracy and…

An open-source data-analysis framework 2DMAT has been developed for experimental measurements of two-dimensional material structures. 2DMAT offers five analysis methods: (i) Nelder-Mead optimization, (ii) grid search, (iii) Bayesian…

A computing program in Matlab is given that computes amplitudes in scalar $\phi^3$ theory. The program is partitioned into several parts and a simple guide is given for its use.

General Physics · Physics 2007-05-23 Gordon Chalmers

The finite invert Beta-Liouville mixture model (IBLMM) has recently gained some attention due to its positive data modeling capability. Under the conventional variational inference (VI) framework, the analytically tractable solution to the…

Machine Learning · Computer Science 2021-12-30 Yongfa Ling , Wenbo Guan , Qiang Ruan , Heping Song , Yuping Lai

We present a new Monte Carlo tool that computes full tree-level matrix elements in high-energy physics. The program accepts user-defined models and has no restrictions on the process multiplicity. To achieve acceptable performance, CAMORRA…

High Energy Physics - Phenomenology · Physics 2010-11-23 Ronald Kleiss , Gijs van den Oord

We adapt the Veneziano model to the analysis of vector charmonium decays. Starting from a set of covariant Veneziano terms we show how to construct partial waves amplitudes that receive contributions from selected Regge trajectories. The…

High Energy Physics - Phenomenology · Physics 2014-03-25 Adam P. Szczepaniak , M. R. Pennington

The Visual Physics Analysis (VISPA) project integrates different aspects of physics analyses into a graphical development environment. It addresses the typical development cycle of (re-)designing, executing and verifying an analysis. The…

Data Analysis, Statistics and Probability · Physics 2012-09-10 H. -P. Bretz , M. Brodski , M. Erdmann , R. Fischer , A. Hinzmann , T. Klimkovich , D. Klingebiel , M. Komm , J. Lingemann , G. Müller , T. Münzer , M. Rieger , J. Steggemann , T. Winchen

This paper provides an accurate theoretical defect energy database for pure and Bi-containing III-V (III-V:Bi) materials and investigates efficient methods for high-throughput defect calculations based on corrections of results obtained…

Materials Science · Physics 2021-12-07 Maciej P. Polak , Robert Kudrawiec , Ryan Jacobs , Izabela Szlufarska , Dane Morgan

Btrim is a fast and lightweight software to trim adapters and low quality regions in reads from ultra high-throughput next-generation sequencing machines. It also can reliably identify barcodes and assign the reads to the original samples.…

Genomics · Quantitative Biology 2024-05-28 Yong Kong

MOCVXPY is an open-source Python library for convex vector optimization. It is built on top of CVXPY, a domain-specific language for single-objective convex optimization. MOCVXPY enables practitioners to describe their convex vector…

Optimization and Control · Mathematics 2025-10-27 Ludovic Salomon , Daniel Dörfler , Andreas Löhne

The Fermi Large Area Telescope has enabled detailed studies of high-energy astrophysical sources. To support analysis, we present FermiPhased, a flexible, open-source tool for phase-resolved studies of pulsars, binaries, and other…

High Energy Astrophysical Phenomena · Physics 2025-11-10 Alexander Lange , B. B. K

Large-scale vision-language models (VLMs) like CLIP successfully find correspondences between images and text. Through the standard deterministic mapping process, an image or a text sample is mapped to a single vector in the embedding…

Computer Vision and Pattern Recognition · Computer Science 2023-10-02 Uddeshya Upadhyay , Shyamgopal Karthik , Massimiliano Mancini , Zeynep Akata
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