Apprentice for Event Generator Tuning

Krishnamoorthy, Mohan; Schulz, H.; Ju, X.; Wang, Wenjing; Leyffer, Sven; Маршалл, З.; Mrenna, S.; Müller, Juliane; Kowalkowski, Jim

doi:10.1051/epjconf/202125103060

Cited by 21 publications

(11 citation statements)

References 18 publications

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“…The weights are chosen correspondingly to constrain sub-tunes by the most relevant experimental data. The APPRENTICE method [399] goes beyond PROFESSOR by allowing for more general interpolations, a larger variety of optimization methods, and automated setting of weights.…”

Section: Automatic Tuning Approachesmentioning

confidence: 99%

A comprehensive guide to the physics and usage of PYTHIA 8.3

Bierlich¹,

Chakraborty²,

Desai³

et al. 2022

Preprint

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This manual describes the PYTHIA 8.3 event generator, the most recent version of an evolving physics tool used to answer fundamental questions in particle physics. The program is most often used to generate high-energy-physics collision "events", i.e. sets of particles produced in association with the collision of two incoming high-energy particles, but has several uses beyond that. The guiding philosophy is to produce and re-produce properties of experimentally obtained collisions as accurately as possible. The program includes a wide ranges of reactions within and beyond the Standard Model, and extending to heavy ion physics. Emphasis is put on phenomena where strong interactions play a major role.The manual contains both pedagogical and practical components. All included physics models are described in enough detail to allow the user to obtain a cursory overview of used assumptions and approximations, enabling an informed evaluation of the program output. A number of the most central algorithms are described in enough detail that the main results of the program can be reproduced independently, allowing further development of existing models or the addition of new ones.Finally, a chapter dedicated fully to the user is included towards the end, providing pedagogical examples of standard use cases, and a detailed description of a number of external interfaces. The program code, the online manual, and the latest version of this print manual can be found on the PYTHIA web

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Section: Automatic Tuning Approachesmentioning

confidence: 99%

A comprehensive guide to the physics and usage of PYTHIA 8.3

Bierlich¹,

Chakraborty²,

Desai³

et al. 2022

Preprint

Self Cite

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“…The core machinery for any MC tuning is therefore available to the community: The tools include the C++-core PROFESSOR 2 code, or its Python+numpy evolution known as Apprentice [400]. The latter code also adds rational approximants for the bin parameterization and optional portfolio optimization, and is likely to be the platform for future tuning-tool development.…”

Section: Hadron-and Lepton-collider Tuningmentioning

confidence: 99%

Event Generators for High-Energy Physics Experiments

Campbell¹,

Diefenthaler²,

Hobbs³

et al. 2022

Preprint

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“…The resulting set of parameters can thus not be taken as a new "full tune", but serve as reassurance that this model addition improves the overall description, in addition to providing a reasonable set of parameters. The program Rivet [26] is used for data comparison, and Apprentice [27] for post-processing. We are, however, not relying on a global minimization from Apprentice, but rather use it as a guiding hand.…”

Section: Modified Baryon Productionmentioning

confidence: 99%

Hyperfine splitting effects in string hadronization

Bierlich,

Chakraborty,

Gustafson

et al. 2022

Preprint

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We revisit the recipe for hadron formation in the Lund string hadronization model. Given an incoming quark or quark-diquark pair, weights for hadron formation are updated to take hyperfine splitting effects arising from the mass difference between u, d-type and s-type quarks. We find that the procedure improves the description of hadron yields in e + e − collisions and the φ cross section in neutral current DIS. We also show results for proton collisions, and discuss the future use of this study in the context of small system collectivity.

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Apprentice for Event Generator Tuning

Cited by 21 publications

References 18 publications

A comprehensive guide to the physics and usage of PYTHIA 8.3

A comprehensive guide to the physics and usage of PYTHIA 8.3

Event Generators for High-Energy Physics Experiments

Hyperfine splitting effects in string hadronization

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