HighTEA: High energy Theory Event Analyser
Micha{\l} Czakon, Zahari Kassabov, Alexander Mitov, Rene Poncelet,, Andrei Popescu

TL;DR
HighTEA is a user-friendly platform enabling rapid, fully-differential NNLO calculations for collider observables, allowing flexible analysis of various processes without requiring specialized computational expertise.
Contribution
It introduces a cloud-based system for accessible, customizable NNLO calculations on collider data, expanding usability beyond traditional specialized computational setups.
Findings
Calculates a wide range of infrared safe observables.
Provides results within minutes via internet-based requests.
Supports flexible definitions of kinematic variables and scales.
Abstract
We introduce HighTEA, a new paradigm for deploying fully-differential next-to-next-to leading order (NNLO) calculations for collider observables. In principle, any infrared safe observable can be computed and, with very few restrictions, the user has complete freedom in defining their calculation's setup. For example, one can compute generic n-dimensional distributions, can define kinematic variables and factorization/renormalization scales, and can modify the strong coupling and parton distributions. HighTEA operates on the principle of analyzing precomputed events. It has all the required hardware and software infrastructure such that users only need to request their calculation via the internet before receiving the results, typically within minutes, in the form of a histogram. No specialized knowledge or computing infrastructure is required to fully utilize HighTEA, which could be…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsParticle physics theoretical and experimental studies · Distributed and Parallel Computing Systems · Particle Detector Development and Performance
