The use of the CERN charged-particle beams of known particle type and incident energy provide the means to achieve a better understanding of the interaction processes occurring within an argon target. The beam measurements should provide a calibration data set for tuning the Monte Carlo simulations and a reference data set for the DUNE experiment.

The beam particle interactions will enable the validation of pattern recognition algorithms dedicated to the recognition of physics features required in the neutrino oscillation analyses, especially the capability of the neutral pion recognition in the interaction vertex. Currently, essential main effort in this field is to develop the innovative tools in LArSoft, heavily based on Convolutional Neural Network.

A large number of cosmic muons will allow the detector calibration. Within this task, the group is preparing tools that enable measuring the field distortion, mainly due to the space charge effect. The current effort is firmly based on the existing algorithms in the LArSoft framework, complemented with the dedicated tools for the space charge evaluation using the cosmic rays identified in the data.

It is expected to collect high statistic of stopping muons, which will be used to study detector response to tens of MeV electrons.  It is foreseen to adopt developed reconstruction to applications for DUNE Far Detector physics such as neutrino oscillation and supernova burst.

The interpretation of the data from LArTPC detectors has proven challenging. It is largely due to the nature of the event representation in the form of the two or three independent, discretized 2D projections, partially losing the full 3D information and thus challenging for the pattern recognition. Event projections are typically complex: particle traces are characterized by the high rate of multiple scattering and numerous secondary interactions. The flexibility of the art/LArSoft framework allows for multiple approaches for reconstructing and analyzing the data, and for the use of customized reconstruction chain depending on the targeted physics deliverables.

ProtoDUNEs Simulation and Reconstruction activities

Important documents and links

  • Indico webpage for Data Reconstruction and Analysis WG (Meetings)

  • Indico webpage for protoDUNEs Simulation and Reconstruction (Meetings)

  • protoDUNE proposal for the CERN SPSC  (LBNE-docdb-10715)

  • Indico webpage for the protoDUNE meetings (Meetings)

  • Wikipage with computing requirements (BNL wiki)


Topics for work during the DUNE Physics Week



  • collaborative pages
  • WG calendar
  • indico meeting page for WG
  • important documents in docdb
  • DUNE talks given on WG topic 
  • published articles by WG members on topic​​