University of Glasgow
Leading research-intensive university located in Glasgow, Scotland.
YODA
YODA is a lightweight C++ and Python library for histogramming and statistical analysis, designed for use in particle physics workflows. It supports reproducible, high-performance data analysis and is the foundation for data handling in tools like Rivet.
- Data Analysis
- High performance computing
- Statistics
- + 1
- (C++)
- (M4)
- (Prolog)
- + 2
LHAPDF
LHAPDF (The Les Houches Accord PDFs) is a standardised library for accessing parton distribution functions (PDFs) in high-energy physics. It provides a common interface to a wide range of PDF sets, enabling consistent and reproducible predictions in collider simulations and analyses.
- Collider physics
- Deep Inelastic Scattering
- Interpolation
- + 1
- (C++)
- (Cython)
- (M4)
- + 2
matchms
Python library for fuzzy comparison of mass spectrum data and other Python objects
- Big data
- Optimized data handling
- (Batchfile)
- (Makefile)
- (Python)
- + 1
Rivet
Rivet is a toolkit for validation and analysis of Monte Carlo event generators in particle physics. It provides a library of reusable analysis components and a large collection of published analyses, enabling precise, reproducible comparisons between theory and experimental data.
- Big data
- Collider physics
- Data Analysis
- + 2
- (C)
- (C++)
- (Gnuplot)
- + 2
spec2vec
spec2vec is a novel similarity measure for comparing mass spectrometry data, which learns peak representations using Word2Vec.
- Machine learning
- Text analysis & natural language processing
- (Batchfile)
- (Makefile)
- (Python)