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Ekaterini Tzamariudaki

Publications and source records attributed to Ekaterini Tzamariudaki.

2 recordsLinked to original sources

Analysis of vertex-contained high energy neutrino events for the KM3NeT/ARCA detector

KM3NeT is a research infrastructure housing the next generation neutrino detectors in the depths of the Mediterranean Sea. The ARCA detector, which is currently under construction, is optimized for searches for neutrinos from astrophysical sources as well as measurements of the diffuse astrophysical flux. The unambiguous detection of neutrinos of extraterrestrial origin by IceCube has led to the first measurement of a high energy astrophysical neutrino flux. The properties of sea water allow for a measurement of the neutrino direction with an excellent angular resolution for both track and cascade events. Here a method to differentiate track and shower events and a method to reject the atmospheric muon background from starting track-like events are combined in one analysis. The analysis on the discovery potential of KM3NeT/ARCA for a diffuse astrophysical neutrino flux using events with the reconstructed vertex inside the detector volume will be presented.

hep-ex↗

A study on implementing a multithreaded version of the SIRENE detector simulation software for high energy neutrinos

The primary objective of SIRENE is to simulate the response to neutrino events of any type of high energy neutrino telescope. Additionally, it implements different geometries for a neutrino detector and different configurations and characteristics of photo-multiplier tubes (PMTs) inside the optical modules of the detector through a library of C+ + classes. This could be considered a massive statistical analysis of photo-electrons. Aim of this work is the development of a multithreaded version of the SIRENE detector simulation software for high energy neutrinos. This approach allows utilization of multiple CPU cores leading to a potentially significant decrease in the required execution time compared to the sequential code. We are making use of the OpenMP framework for the production of multithreaded code running on the CPU. Finally, we analyze the feasibility of a GPU-accelerated implementation.

cs.DC↗