PineAPPL Grids of Open Heavy-Flavor Production in the GM-VFNS

Fuente: arXiv
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Autori principali: Wissmann, Jan, Ježo, Tomáš, Schienbein, Ingo, Spiesberger, Hubert, Klasen, Michael
Natura: Preprint
Pubblicazione: 2024
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author Wissmann, Jan
Ježo, Tomáš
Schienbein, Ingo
Spiesberger, Hubert
Klasen, Michael
author_facet Wissmann, Jan
Ježo, Tomáš
Schienbein, Ingo
Spiesberger, Hubert
Klasen, Michael
contents Many next-to-leading order QCD predictions are available through Monte Carlo (MC) simulations. Usually, multiple CPU hours are needed to calculate predictions at a required precision, which is unfeasible for global PDF analyses. This problem is solved by a process known as gridding: The values of the hard-scattering cross-section are calculated only once with the MC program, and then interpolated and stored in look-up tables (grids) of the kinematical variables. To obtain the physical predictions, they are convolved with the PDFs (e.g. during the fitting stage in a PDF global analysis), which takes a tiny fraction of the time needed to calculate the MC results. This is possible with PineAPPL, a library tackling the aforementioned process of grid creation and convolution. In this work, we use PineAPPL to grid the predictions for open heavy-flavor production in the general-mass variable-flavor-number scheme (GM-VFNS). In the GM-VFNS, the differential cross-section interpolates between the fixed-flavor-number scheme (FFNS) and the zero-mass variable-flavor-number scheme (ZM-VFNS). These are each only valid in different kinematical regions, in which the GM-VFNS cross-section reproduces the FFNS and ZM-VFNS as the limiting cases of high energies and small masses, respectively. Better than permille agreement is achieved between the grids and the MC predictions, while at the same time not substantially increasing the time of the MC calculations.
format Preprint
id arxiv_https___arxiv_org_abs_2407_14285
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle PineAPPL Grids of Open Heavy-Flavor Production in the GM-VFNS
Wissmann, Jan
Ježo, Tomáš
Schienbein, Ingo
Spiesberger, Hubert
Klasen, Michael
High Energy Physics - Phenomenology
Many next-to-leading order QCD predictions are available through Monte Carlo (MC) simulations. Usually, multiple CPU hours are needed to calculate predictions at a required precision, which is unfeasible for global PDF analyses. This problem is solved by a process known as gridding: The values of the hard-scattering cross-section are calculated only once with the MC program, and then interpolated and stored in look-up tables (grids) of the kinematical variables. To obtain the physical predictions, they are convolved with the PDFs (e.g. during the fitting stage in a PDF global analysis), which takes a tiny fraction of the time needed to calculate the MC results. This is possible with PineAPPL, a library tackling the aforementioned process of grid creation and convolution. In this work, we use PineAPPL to grid the predictions for open heavy-flavor production in the general-mass variable-flavor-number scheme (GM-VFNS). In the GM-VFNS, the differential cross-section interpolates between the fixed-flavor-number scheme (FFNS) and the zero-mass variable-flavor-number scheme (ZM-VFNS). These are each only valid in different kinematical regions, in which the GM-VFNS cross-section reproduces the FFNS and ZM-VFNS as the limiting cases of high energies and small masses, respectively. Better than permille agreement is achieved between the grids and the MC predictions, while at the same time not substantially increasing the time of the MC calculations.
title PineAPPL Grids of Open Heavy-Flavor Production in the GM-VFNS
topic High Energy Physics - Phenomenology
url https://arxiv.org/abs/2407.14285