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Related papers: Tools for event generator tuning and validation

200 papers

An event generation framework is presented that enables the automatic simulation of events for next-generation neutrino experiments in the Standard Model or extensions thereof. The new generator combines the calculation of the leptonic…

High Energy Physics - Phenomenology · Physics 2022-05-18 Joshua Isaacson , Stefan Höche , Diego Lopez Gutierrez , Noemi Rocco

Events refer to specific occurrences, incidents, or happenings that take place under a particular background. Event reasoning aims to infer events according to certain relations and predict future events. The cutting-edge techniques for…

Computation and Language · Computer Science 2024-04-19 Zhengwei Tao , Xiancai Chen , Zhi Jin , Xiaoying Bai , Haiyan Zhao , Yiwei Lou

The analysis of fairness in process mining is a significant aspect of data-driven decision-making, yet the advancement in this field is constrained due to the scarcity of event data that incorporates fairness considerations. To bridge this…

Databases · Computer Science 2023-06-21 Timo Pohl , Alessandro Berti , Mahnaz Sadat Qafari , Wil M. P. van der Aalst

A control software verification framework for gas turbine engines is developed. A stability proof is presented for gain scheduled closed-loop engine system based on global linearization and linear matrix inequality (LMI) techniques. Using…

Systems and Control · Computer Science 2013-11-11 Mehrdad Pakmehr , Timothy Wang , Romain Jobredeaux , Martin Vivies , Eric Feron

In this contribution the new event generation framework Sherpa will be presented. It aims at the full simulation of events at current and future high-energy experiments, in particular the LHC. Some results related to the production of jets…

High Energy Physics - Phenomenology · Physics 2008-12-18 T. Gleisberg , S. Hoeche , F. Krauss , A. Schaelicke , S. Schumann , J. Winter

MCgrid is a software package that provides access to the APPLgrid interpolation tool for Monte Carlo event generator codes, allowing for fast and flexible variations of scales, coupling parameters and PDFs in cutting edge leading and…

High Energy Physics - Phenomenology · Physics 2016-11-25 Luigi Del Debbio , Nathan P. Hartland , Steffen Schumann

We present AITutor-EvalKit, an application that uses language technology to evaluate the pedagogical quality of AI tutors, provides software for demonstration and evaluation, as well as model inspection and data visualization. This tool is…

Computation and Language · Computer Science 2026-02-24 Numaan Naeem , Kaushal Kumar Maurya , Kseniia Petukhova , Ekaterina Kochmar

CompHEP, as a partonic event generator, and PYTHIA, as a generator of final states of detectable objects, are interfaced. Thus, integrated tool is proposed for simulation of (almost) arbitrary collision processes at the level of detectable…

As large language models (LLMs) become ubiquitous, parameter-efficient fine-tuning methods and safety-first defenses have proliferated rapidly. However, the number of approaches and their recent increase have resulted in diverse…

Machine Learning · Computer Science 2025-06-03 Saad Hossain , Samanvay Vajpayee , Sirisha Rambhatla

The CONTUR toolkit exploits RIVET and its library of more than a thousand energy-frontier differential cross-section measurements from the Large Hadron Collider to allow rapid limit-setting and consistency checks for new physics models. In…

High Energy Physics - Phenomenology · Physics 2025-05-15 Andy Buckley , Jon Butterworth , Joseph Egan , Christian Gutschow , Sihyun Jeon , Martin Habedank , Tomasz Procter , Peng Wang , Yoran Yeh , Luzhan Yue

This document describes the first proof-of-concept version of the Pythia7 program. Pythia7 is a complete re-write of the Pythia program in C++. It is mainly intended to be a replacement for the `Lund' family of event generators, but is also…

High Energy Physics - Phenomenology · Physics 2011-02-15 Marc Bertini , Leif Lonnblad , Torbjorn Sjostrand

We present an updated set of parameters for the PYTHIA 8 event generator. We reevaluate the constraints imposed by LEP and SLD on hadronization, in particular with regard to heavy-quark fragmentation and strangeness production. For hadron…

High Energy Physics - Phenomenology · Physics 2015-06-19 Peter Skands , Stefano Carrazza , Juan Rojo

Modern generative modeling has grown into a broad collection of related but often separately implemented paradigms, including denoising diffusion models, score-based stochastic differential equations, flow matching, variational…

Machine Learning · Computer Science 2026-05-19 Liang Yan

PYTHIA is a general-purpose event generator for multiparticle production in high-energy physics. After a general introduction and program news survey, some areas of recent physics progress are considered: the matching to matrix elements,…

High Energy Physics - Phenomenology · Physics 2007-05-23 Torbjörn Sjöstrand

In the era of precision physics measurements at the LHC, efficient and exhaustive estimations of theoretical uncertainties play an increasingly crucial role. In the context of Monte Carlo (MC) event generators, the estimation of such…

High Energy Physics - Phenomenology · Physics 2016-10-12 S. Mrenna , P. Skands

I review the status of the general-purpose Monte Carlo event generators for the LHC, with emphasis on areas of recent physics developments. There has been great progress, especially in multi-jet simulation, but I mention some question marks…

High Energy Physics - Phenomenology · Physics 2010-08-18 Michael H. Seymour

We perform two tunes of the SHERPA Monte Carlo generator for the generation of $e^+e^-\rightarrow\mbox{hadrons}$ using the publicly-available LEP analyses in Rivet. In each of these tunes, we generate events at $\sqrt{s}=91.25\mbox{ GeV}$…

High Energy Physics - Experiment · Physics 2018-10-29 Jennifer Kile , Julian von Wimmersperg-Toeller

We present the Data Quality Report Builder toolkit, DQRbuild, a suite of data quality tools that have been developed to vet gravitational-wave events in preparation for the fourth LIGO-Virgo-KAGRA observing run. We explain the main…

A novel simulator called VMAgent is introduced to help RL researchers better explore new methods, especially for virtual machine scheduling. VMAgent is inspired by practical virtual machine (VM) scheduling tasks and provides an efficient…

Machine Learning · Computer Science 2021-12-10 Junjie Sheng , Shengliang Cai , Haochuan Cui , Wenhao Li , Yun Hua , Bo Jin , Wenli Zhou , Yiqiu Hu , Lei Zhu , Qian Peng , Hongyuan Zha , Xiangfeng Wang