The data challenge is made of two separate but complementary dataset. The dataset has been produced using simulation of fission experiment.
The first dataset, “agata” contains in flight gamma-ray spectroscopy of fission fragment in coincidence with fragment identification and velocity measurement. This dataset therefore allow unambiguous gamma-ray assignment to a given nuclei.
The second dataset, “exill” contains gamma-ray spectroscopy of fission fragment at rest. There is no information on the fragment, but the statistics is high and gamma-gamma coincidences is possible, allowing unambiguous decay scheme reconstruction.
Combining information from both dataset therefore allows for the unambiguous decay scheme assignment to a given nuclei.
Both tracks proposes a set of files as well as a “project zero” starting point. You will found in addition sets of typical git issues you can provide to the group after discussion to reach the goal of a delivering a properly functioning and documented analysis.
public
While those dataset are on the topic of nuclear fission, their simple data structures is pertinent for any one working on event based dataset and typical of subatomic physics experiments.
The software and data management skills are easily transferrable to many profile in our community, including theorist. The course is design to address a broad audience, from graduate student, PhD students, postdocs, researcher, and engineers. It is however expected that the student already knows how to develop in either C++ or Python.
what it is not
This data challenge is not a programming course. The goal is not to teach programming techniques but methodology and tool to develop, test and deploy software in a collaborative way.
The actual code developed during the session is usually very simple and in most cases “code snippets” are provided to the students to help them implement it faster. The goal is instead to get to the planning, merging and releasing phases of collaborative development as much as possible during the week.
group structure and tutor role
Groups are ideally composed of 4 to 6