The NSF Software Infrastructure for Sustained Innovation (SI2) program has funded a collaborative research project entitled "Data-Intensive Analysis for High Energy Physics (DIANA/HEP)". The 4-year project involves Peter Elmer (Princeton University), Mike Sokoloff (U.Cincinnati), Kyle Cranmer (NYU) and Brian Bockelman (U.Nebraska-Lincoln).

The primary goal of DIANA/HEP is to develop state-of-the-art tools for experiments which acquire, reduce, and analyze petabytes of data. Improving performance, interoperability, and collaborative tools through modifications and additions to ROOT and other packages broadly used by the community will allow users to more fully exploit the data being acquired at the Large Hadron Collider (LHC) at CERN and other facilities. As part of the NSF's Software Infrastructure for Sustained Innovation (SI2) program, DIANA/HEP is concerned with the overarching goal of transforming innovations in research and education into sustained software resources that are an integral part of the cyberinfrastructure. 

Project website: http://diana-hep.org/

NSF Awards: ACI-1450377 (Princeton), ACI-1450319 (U.Cincinnati), ACI-1450310 (NYU), ACI-1450323 (U.Nebraska-Lincoln)