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 189 tok/s
Gemini 2.5 Pro 53 tok/s Pro
GPT-5 Medium 36 tok/s Pro
GPT-5 High 36 tok/s Pro
GPT-4o 75 tok/s Pro
Kimi K2 160 tok/s Pro
GPT OSS 120B 443 tok/s Pro
Claude Sonnet 4.5 37 tok/s Pro
2000 character limit reached

Theory for the MUonE experiment (2401.06491v1)

Published 12 Jan 2024 in hep-ph and hep-ex

Abstract: The MUonE experiment aims at providing a new independent evaluation of the leading hadronic contribution to the muon anomalous magnetic moment. The proposed method is based on the measurement of the running of the QED coupling in the space-like momentum region, through the elastic scattering of high-energy muons on atomic electrons. In this proceeding, the status of the theoretical effort for the MUonE experiment is reviewed. In order to achieve a competitive determination, the differential cross section of muon-electron scattering must be computed with an unprecedented precision of 10 ppm, which requires at least next-to-next-leading order corrections and the resummation of large logarithms. In addition, the simulation of the experiment needs an exhaustive theoretical description of the possible background processes, such as the lepton pair production in muon-nucleus scattering. All these processes must be implemented in a fully exclusive Monte Carlo event generator in order to be used in the MUonE data analysis.

Citations (1)

Summary

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

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

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

Authors (1)

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

Collections

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

X Twitter Logo Streamline Icon: https://streamlinehq.com

Tweets

This paper has been mentioned in 1 tweet and received 0 likes.

Upgrade to Pro to view all of the tweets about this paper: