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Publications
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These are publications using Gepard, for which the corresponding code is
published as well, in the interest of open and reproducible research.


Code runs with the latest version of Gepard package
===================================================

These papers have accompanying Jupyter notebooks, published on
the github, which are easily runnable after installing the latest
version of Gepard:

   * K. Kumerički, D. Mueller, K. Passek-Kumerički and A. Schaefer,
     *Deeply virtual Compton scattering beyond next-to-leading order: the flavor singlet case,*
     Phys. Lett. B **648** (2007), 186-194, arXiv:`hep-ph/0605237 <https://arxiv.org/abs/hep-ph/0605237>`_
     [Code at `github <https://github.com/openhep/dvcs-old>`__]

   * K. Kumerički, D. Mueller, and K. Pasek-Kumerički, 
     *Towards a fitting procedure for deeply virtual Compton scattering at next-to-leading order and beyond,*
     Nucl. Phys. B **794** (2008) 244-323, arXiv:`hep-ph/0703179 <https://arxiv.org/abs/hep-ph/0703179>`_
     [Code at `github <https://github.com/openhep/dvcs-old>`__]

   * K. Kumerički and D. Mueller,
     *Deeply virtual Compton scattering at small xB and the access to the GPD H,*
     Nucl. Phys. B **841** (2010) 1-58, arXiv:`0904.0458 <https://arxiv.org/abs/0904.0458>`_
     [Code at `github <https://github.com/openhep/dvcs-old>`__]

   * M. Čuić, G. Duplančić, K. Kumerički, and K. Passek-K.,
     *NLO corrections to the deeply virtual meson production revisited: impact on the extraction of generalized parton distributions,*
     (2023), arXiv:`2310.13837 <https://arxiv.org/abs/2310.13837>`_
     [Code at `github <https://github.com/openhep/nloimpact23>`__]

Code runs only with old versions Gepard package
===============================================

These papers have accompanying Jupyter notebooks, published on
the github, but need old version of Gepard (available as `pyfortran`
branch on the Gepard's github page), which can be tricky to compile and run

   * M. Čuić, K. Kumerički, and A. Schäfer, 
     *Separation of Quark Flavors using DVCS Data*, 
     Phys. Rev. Lett. **125** (2020) 23, 232005, arXiv:`2007.00029 <https://arxiv.org/abs/2007.00029>`_
     [Code at `github <https://github.com/openhep/neutron20>`__]

   * K. Kumerički,
     *Measurability of pressure inside the proton*,
     Nature, 570 (2019) no. 7759, E1-E2, doi:`10.1038/s41586-019-1211-6 <https://doi.org/10.1038/s41586-019-1211-6>`_
     [Code at `github <https://github.com/openhep/dterm18>`__]



If your paper uses Gepard, and the corresponding code is public, consider
sending us the reference to add to this page.