Bereiche | Tage | Auswahl | Suche | Aktualisierungen | Downloads | Hilfe

AKPIK: Arbeitskreis Physik, moderne Informationstechnologie und Künstliche Intelligenz

AKPIK 3: Machine-learning methods and computing in astroparticle physics

AKPIK 3.4: Vortrag

Mittwoch, 27. März 2019, 16:30–16:40, H06

Determination of Antarctic Ice Parameters Using a Neural Network — •Sebastian Bange, Mirco Hünnefeld, and Alexander Harnisch for the IceCube collaboration — TU Dortmund, Dortmund, Deutschland

The IceCube Neutrino Observatory uses digital optical modules to detect Cherenkov photons emitted by particles on their way through the detector. They use the available antarctic ice as a medium for the particles to react in. It naturally shows depth dependent und a priori unknown effects on how it changes the path of the photons. This talk gives an overview on how to use a neural network to obtain the scattering coefficients for the currently used ice model. This works approach is to approximate the waveform of the detected photons by inputting the scattering coefficients. The network can then be reversed to obtain the scattering coefficients belonging to one specific waveform.