ACAT 2021

An open-source machine learning framework for global analyses of parton distributions

contribution ID 778

30 Nov 2021, 17:20

20m

S305 (Virtual and IBS Science Culture Center)

Oral Track 3: Computations in Theoretical Physics: Techniques and Methods Track 3: Computations in Theoretical Physics: Techniques and Methods

Speaker

Z.D. Kassabov-Zaharieva

Description

We present the software framework underlying the NNPDF4.0 global determination of parton distribution functions (PDFs). The code is released under an open source licence and is accompanied by extensive documentation and examples. The code base is composed by a PDF fitting package, tools to handle experimental data and to efficiently compare it to theoretical predictions, and a versatile analysis framework. In addition to ensuring the reproducibility of the NNPDF4.0 (and subsequent) determination, the public release of the NNPDF fitting framework enables a number of phenomenological applications and the production of PDF fits under user-defined data and theory assumptions.

References

https://inspirehep.net/literature/1918104

Significance

We present an open source framework used to produce state of art parton distributions functions, developed to high standards.

Presentation materials

Recording

talk.pdf