Imporoving reconstrucion methods for radio measurements with Tunka-Rex

TL;DR

This paper discusses enhancements to radio measurement reconstruction methods for cosmic-ray air-shower detection with Tunka-Rex, focusing on background suppression and improved data fitting techniques.

Contribution

It introduces new approaches for improving data quality in radio measurements, including multivariate background suppression and refined likelihood fitting of amplitude distributions.

Findings

Enhanced background suppression techniques improve signal clarity.

Improved likelihood fitting yields more accurate amplitude distributions.

Methods demonstrate potential for more precise cosmic-ray measurements.

Abstract

Tunka-Rex is detector for radio emission produced by cosmic-ray air-showers located in Siberia, triggered by Tunka-133, a co-located air-Cherenkov detector during night, and by a scintillator array Tunka-Grande during day. Tunka-Rex demonstrates that the radio technique can provide a cost-effective extension of existing air-shower arrays. Operating in the frequency range of 30-80 MHz, Tunka-Rex is limited by the galactic background, and suffers from the local radio interferences. We investigate the possibilities of the improving of measured data using different approaches, particularly, the multivariate background suppression is considered, as well as improved likelihood fit of the lateral distribution of amplitudes.