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PARTONS: PARtonic Tomography Of Nucleon Software

Authors: Berthou, B.; Binosi, Daniele; Chouika, N.; Colaneri, L.; Rodríguez Quintero, José;

PARTONS: PARtonic Tomography Of Nucleon Software

Abstract

We describe the architecture and functionalities of a C++ software framework, coined PARTONS, dedicated to the phenomenology of Generalized Parton Distributions. These distributions describe the three-dimensional structure of hadrons in terms of quarks and gluons, and can be accessed in deeply exclusive lepto- or photo-production of mesons or photons. PARTONS provides a necessary bridge between models of Generalized Parton Distributions and experimental data collected in various exclusive production channels. We outline the specification of the PARTONS framework in terms of practical needs, physical content and numerical capacity. This framework will be useful for physicists – theorists or experimentalists – not only to develop new models, but also to interpret existing measurements and even design new experiments. The authors would like to thank P. Aguilera, S. Anvar, A. Besse, D. Chapon, R. Geraud, P. Guichon, K. Joo, A. Kielb, K. Kumericki, K. Passek-Kumericki and J.-Ph. Poli for many fruitful discussions and valuable inputs. This work was supported in part by the Commissariat a l'Energie Atomique et aux Energies Alternatives, by the French National Research Agency (ANR) grant ANR-12-MONU-0008-01, by the Grant No. 2017/26/M/ST2/01074 of the National Science Centre, Poland, and by the DOE grant DE-FG-04-ER41309.

Country
Spain
Related Organizations
Keywords

PARTONS, Nucleon Software, Tomography

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green