Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 76 tok/s
Gemini 2.5 Pro 52 tok/s Pro
GPT-5 Medium 19 tok/s Pro
GPT-5 High 26 tok/s Pro
GPT-4o 80 tok/s Pro
Kimi K2 210 tok/s Pro
GPT OSS 120B 466 tok/s Pro
Claude Sonnet 4.5 33 tok/s Pro
2000 character limit reached

MoMEMta, a modular toolkit for the Matrix Element Method at the LHC (1805.08555v3)

Published 22 May 2018 in hep-ph and hep-ex

Abstract: The Matrix Element Method has proven to be a powerful method to optimally exploit the information available in detector data. Its widespread use is nevertheless impeded by its complexity and the associated computing time. MoMEMta, a C++ software package to compute the integrals at the core of the method, provides a versatile implementation of the Matrix Element Method to both the theory and experiment communities. Its modular structure covers the needs of experimental analysis workflows at the LHC without compromising ease of use on simpler and smaller simulated samples used for phenomenological studies. With respect to existing tools, MoMEMta improves on usability and flexibility. In this paper, we present version 1.0 of MoMEMta, together with examples illustrating the wide range of applications at the LHC accessible for the first time with a single tool.

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.