Finalize Documentation

README.md

@@ -35,6 +35,23 @@ one:
 - [Installation instructions](docs/installation.md)
 - [Changelog](CHANGELOG.md)
 
+# Tools using PineAPPL
+
+Below are some samples of tools in high-energy physics that uses PineAPPL.
+
+| Tool | Description |
+|------|-------------|
+| [**MadGraph5_aMC@NLO**](https://github.com/mg5amcnlo/mg5amcnlo) | Multi-purpose event generator for LO and NLO calculations. |
+| [**MATRIX**](https://matrix.hepforge.org/) | Parton-level event generator for fully differential cross sections at NNLO. |
+| [**nCTEQ**](https://ncteq.hepforge.org/) | Framework for extracting nuclear parton distribution functions. |
+| [**NNLOJet**](https://nnlojet.hepforge.org/index.html) | Parton-level event generator for jet cross sections at NNLO QCD accuracy. |
+| [**NNPDF**](https://github.com/NNPDF/nnpdf) | Machine learning framework for global PDF analyses. |
+| [**NNSFν**](https://github.com/NNPDF/nnusf) | Machine learning framework for all-energy neutrino structure functions. |
+| [**PineAPFEL**](https://github.com/QCDLab/PineAPFEL) | [APFEL++](https://github.com/vbertone/apfelxx) interface that produces and evolve PineAPPL grids with coefficient functions for unpolarized and longitudinally polarized DIS, SIA, and SIDIS. |
+| [**Pineko**](https://github.com/NNPDF/pineko) | Evolves theory predictions stored as PineAPPL grids using [EKO](https://github.com/NNPDF/eko) evolution operators. |
+| [**xFitter**](https://gitlab.cern.ch/fitters/xfitter) | QCD fit framework designed to extract PDFs. |
+| [**Yadism**](https://github.com/NNPDF/yadism) | Computes DIS coefficient functions up to N3LO for unpolarized and longitudinally polarized processes. |
+
 # Citation
 
 If you use PineAPPL, please cite

examples/cpp/advanced-filling.cpp

@@ -174,7 +174,7 @@ int main() {
     pineappl_grid_write(grid, "advanced-filling.pineappl.lz4");
 
     //-----------------------------------------------------------------------//
-    
+
     // Remove the bins for which the convolution is zero.
     std::vector<uintptr_t> zero_indices;
     zero_indices.reserve(dxsec.size());