A high-performance C++ library for unified access to collinear and transverse momentum dependent parton distribution functions

Get Started View Tutorials Download PDF Sets

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Why Choose PDFxTMDLib?

🔄

Unified Access

Consistent and flexible interface for both collinear PDFs and TMDs with a single API

⚡

High Performance

Optimized computational efficiency through modern C++ design patterns like CRTP and type erasure

🧩

Extensible Framework

Well-defined interfaces for custom readers, interpolators, and extrapolators

🔗

Full Compatibility

Support for standard LHAPDF and TMDLib file formats with accommodation for custom formats

📊

Uncertainty Analysis

Built-in support for uncertainty and correlation calculations for both cPDFs and TMDs

🐍

Python Integration

Python bindings for seamless integration into Python scripts and applications

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Quick Example

#include <PDFxTMD/PDFxTMD.h>
#include <iostream>

#include 
#include 
int main()
{
    using namespace PDFxTMD;
    // Instantiate a PDFSet for collinear distributions
    PDFSet cpdfSet("MSHT20nlo_as120");
    // Access the central member ( index 0)
    auto central_pdf = cpdfSet[0];
    // Define kinematics
    double x = 0.1;     // Longitudinal momentum fraction
    double mu2 = 10000; // Factorization scale squared
    // Evaluate PDF for gluon
    double gluon_pdf = central_pdf->pdf(PartonFlavor ::g, x, mu2);
    std ::cout << "Gluon PDF at x=" << x << ", mu2 =" << mu2 << " GeV2 : " << gluon_pdf
               << std ::endl;
    return 0;
}

C++ Tutorial Python Tutorial

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Applications

High Energy Physics

Essential for precise calculations in particle collisions at facilities like the Large Hadron Collider

Monte Carlo Generators

Integrate with event generators for accurate simulation of particle interactions

Theoretical Research

Support for advanced studies in QCD and hadron structure

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Getting Started

1

Install

Follow our installation guide to set up PDFxTMDLib on your system

2

Configure

Download and configure PDF sets for your specific needs

3

Learn

Explore our tutorials to understand how to use the library effectively

4

Integrate

Incorporate PDFxTMDLib into your projects with our comprehensive documentation

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Latest Updates

July 2025

New TMD Sets Available

Added support for PB-NLO-HERAI+II-2023 sets with different qs values

Learn More

June 2025

Python Bindings Enhanced

Improved Python interface with additional functionality and better performance

View Tutorial

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Ready to Get Started?

PDFxTMDLib provides a powerful framework for working with parton distribution functions in high-energy physics

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