A development environment for visual physics analysis

Abstract

The Visual Physics Analysis (VISPA) project integrates different aspects of physics analyses into a graphical development environment. It addresses the typical development cycle of (re-)designing, executing and verifying an analysis. The project provides an extendable plug-in mechanism and includes plug-ins for designing the analysis flow, for running the analysis on batch systems, and for browsing the data content. The corresponding plug-ins are based on an objectoriented toolkit for modular data analysis. We introduce the main concepts of the project, describe the technical realization and demonstrate the functionality in example applications.

NuRadioReco: a reconstruction framework for radio neutrino detectors

“…This framework builds on extensive experience with both Monte-Carlo studies and data analysis of cosmicray as well as neutrino detectors [8,9,10,13,14,15]. It is also based on many years of experience with the software needs of large radio cosmic-ray experiments, in particular the experience with existing software projects such as Offline [16,17], the reconstruction framework of the Pierre Auger Observatory and its radio extension AERA, the LOFAR cosmic-ray software [18], the Physics eXtension Library (PXL) for high-energy physics and the web analysis framework VISPA [19]. Nu-RadioReco combines their strengths while addressing shortcomings of the existing projects for radio detection.…”

Classification and recovery of radio signals from cosmic ray induced air showers with deep learning

“…The best performing models were then saved for each SNR. We used the VISPA computing cluster (using NVIDIA 1080 GTX cards) at the RWTH Aachen University [54][55][56][57][58] for our calculations.…”

Education and public outreach of the Pierre Auger Observatory

“…The Collaboration has committed to providing 10 % of its data to the general public. The target group for outreach purposes includes even university students for whom statistical tools and analysis packages such as VISPA [6,7,8,9] (see Fig. 6) are available to handle substantial amounts of data.…”