15 Jul 2024 | Alessandro Candido, Felix Hekhorn, Giacomo Magni, Tanjona R. Rabemananjara, Roy Stegeman
The paper introduces yadism, a software library designed for the evaluation of deep-inelastic scattering (DIS) structure functions and cross sections up to next-to-next-to-next-to-leading order (N$^3$LO) in perturbative Quantum Chromodynamics (QCD). yadism supports both polarized and unpolarized DIS processes and can compute observables in fixed-flavor and zero-mass variable flavor number schemes. The library includes a set of tools for generating interpolation grids in the PDF-independent PineAPPL format, allowing for the testing of PDF dependence without rerunning the computation. yadism is open-source, written in Python, and has been benchmarked against widely used libraries such as APFEL++ and QCDNUM. The paper also discusses the implementation details, benchmarking results, and the relevance of different flavor number schemes in various kinematic regions. yadism is particularly useful for PDF fits and the determination of standard model parameters, and it has been applied in various studies, including neutrino scattering and heavy quark mass effects.The paper introduces yadism, a software library designed for the evaluation of deep-inelastic scattering (DIS) structure functions and cross sections up to next-to-next-to-next-to-leading order (N$^3$LO) in perturbative Quantum Chromodynamics (QCD). yadism supports both polarized and unpolarized DIS processes and can compute observables in fixed-flavor and zero-mass variable flavor number schemes. The library includes a set of tools for generating interpolation grids in the PDF-independent PineAPPL format, allowing for the testing of PDF dependence without rerunning the computation. yadism is open-source, written in Python, and has been benchmarked against widely used libraries such as APFEL++ and QCDNUM. The paper also discusses the implementation details, benchmarking results, and the relevance of different flavor number schemes in various kinematic regions. yadism is particularly useful for PDF fits and the determination of standard model parameters, and it has been applied in various studies, including neutrino scattering and heavy quark mass effects.