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

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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

Quick Example 

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

int main() {
    // Initialize the library
    PDFxTMD::Initialize();
    
    // Create a PDF set
    auto pdfSet = PDFxTMD::GenericCPDFFactory::GetPDFSet("CT18NLO");
    
    // Get PDF values for specific parameters
    double x = 0.1;      // Momentum fraction
    double mu = 100.0;   // Energy scale in GeV
    
    // Print PDF values for up quark
    std::cout << "Up quark PDF at x=" << x << ", mu=" << mu 
              << " GeV: " << pdfSet->GetValue(x, mu, 2) << std::endl;
    
    return 0;
}
C++ Tutorial Python Tutorial

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

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

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

Ready to Get Started?

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

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