Near Detector Task Force achieves goal

The Near Detector Task Force is getting ready to submit its final report.

“We have reached our goal,” said Steve Brice, the task force leader. “We have completed a set of four run-throughs of the analysis chain, each more sophisticated than the previous, and we conclude the study having gained a very sophisticated understanding of the CP violation sensitivity that DUNE can achieve. The collaboration can now use these results to inform the near detector design.” (See Developing DUNE’s near detector strategy.)

Each run-through consists of a series of steps that together represent the processing chain of the experiment as a whole. Flux and cross section output is fed to the near detector simulation study; the output of that goes into the far detector simulation; and the output of that step is applied to the simulated far detector data to determine the CPV sensitivity in the oscillation measurements.

Steve Brice

About 20 collaborators contributed to the task force.

“This work required a very high level of coordination between the task force members. We had to knit together several separate pieces of DUNE analysis from different individuals,” said Brice. “People really went out of their way to adapt their work so that it would coordinate with what the others were doing.”

The task force needed to achieve a certain level of sophistication in the analysis in order for the results of the processing chain to make sense, according to Brice.

“We are still double-checking,” he added, “but it all looks good so far.”


Steve Brice would like to thank the following key members of the ND task force, in particular:

  • James Sinclair and Sarah Lockwitz (Simulation of LAr option)
  • Justo Martín-Albo (Simulation of GAr option)
  • Chris Marshall and Tyler Alion (Simulation of Straw Tube Tracker option)
  • Steve Dennis, Lorena Escudero-Sanchez and Costas Andreopoulos (VALOR, a code system for handling systematic uncertainties in long-baseline experiments)
  • Brian Rebel (“Figures of merit,” which are metrics made up of combined quantities of interest)
  • Laura Fields (Flux prediction)
  • Tingjun Yang (Far detector simulations)
  • Robert Hatcher (Infrastructure)
  • Kendall Mahn (Cross section uncertainties)
  • Dan Cherdak (Final fits to extract CPV sensitivity)