Published July 18, 2024 | Version v1
Journal article Open

Novel parton density determination code

Creators

  • 1. Max-Planck-Institut für Physik, München, Germany
  • 2. USAR, Guru Gobind Singh Indraprastha University, East Delhi-110032, India
  • 3. Nikhef, Amsterdam, The Netherlands

Description

We introduce our novel Bayesian parton density determination code, partondensity.jl. The motivation for this new code, the framework, and its validation are described. As we show, partondensity.jl provides both a flexible environment for the determination of parton densities and a wealth of information concerning the knowledge update provided by the analyzed dataset.

Files

10.1103_PhysRevD.110.014024.pdf

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Additional details

Identifiers

DOI
10.1103/PhysRevD.110.014024;
arXiv
arXiv:2401.17729;
Crossref Funder ID
10.13039/501100010710; 10.13039/501100001659;

Publishing Information

Journal Title
Physical Review D
Journal Volume
110
Journal Issue
1
Journal Page Range
13 pgs.
ISSN
1089-4918

INIS

Country of Publication
United States
Country of Input or Organization
International Atomic Energy Agency (IAEA)
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING; S72: PHYSICS OF ELEMENTARY PARTICLES AND FIELDS;
Descriptors DEI
COMPUTERIZED SIMULATION; CRAY COMPUTERS; D CODES; DATA ANALYSIS; DATA-FLOW PROCESSING; DENSITY; F CODES; FORTRAN; G CODES; J CODES; M CODES; P CODES; VALIDATION
Descriptors DEC
COMPUTER CODES; COMPUTERS; DATA PROCESSING; PHYSICAL PROPERTIES; PROCESSING; PROGRAMMING; PROGRAMMING LANGUAGES; SIMULATION; TESTING

Optional Information

Notes
Contact Email: Contact author: capel@mpp.mpg.de; Contact Email: Contact author: ritu.aggarwal1@gmail.com; Contact Email: Contact author: m.botje@nikhef.nl; Contact Email: Contact author: caldwell@mpp.mpg.de; Contact Email: Contact author: oschulz@mpp.mpg.de; Contact Email: Contact author: andrii.verbytskyi@mpp.mpg.de; Record automatically processed
Funding organization
Savitribai Phule Pune University; Deutsche Forschungsgemeinschaft