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UNIVERSITY OF BUCHAREST
FACULTY OF PHYSICS Guest
2024-11-22 1:41 |
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Conference: Bucharest University Faculty of Physics 2021 Meeting
Section: Nuclear and Elementary Particles Physics
Title:
Digital signal reconstruction of AERA data
Authors:
Madalina DOBRE (1,2), Alexandra SAFTOIU (2)
Affiliation:
1) University of Bucharest, Faculty of Physics, Magurele, Romania
2) Department of Nuclear Physics, National Institite for Physics and Nuclear Engineering “Horia Hulubei”. Magurele, Romania
E-mail
madalina.dobre@nipne.ro
Keywords:
cosmic radiation, radio emission, electric field reconstruction, simuations
Abstract:
When cosmic rays enter the Earth’s atmosphere, they interact with its components, leading to the formation of secondary particle cascades, called Extensive Air Showers. The radio emission associated with these cascades can be measured using antennas positioned on the ground and based on these measurements, the reconstruction of different observables can be performed (e.g. arrival direction), thus giving information about the primary particle. At the Pierre Auger Observatory (Argentina), in addition to the two main detection systems (surface detectors and fluorescence detectors), an array dedicated to the detection of radio signals associated to these secondary particle cascades, has been developed, named AERA (Auger Engineering Radio Array). This array consists of 153 detection stations equipped with low frequency radio antennas (30-80 MHz) and it covers an area of 17 km^2 . The voltages measured by the antennas are used for the reconstruction of the electric field associated with EAS, but these voltages are affected by noise. Therefore, it is necessary to use a reconstruction method which minimize the influence of the noise. Using simulations of radio signal induced in air showers, the quality of the reconstruction performed by a new reconstruction method, the analytical method (also called “forward-folding” method) has been tested. Hence, different quantities associated with air showers were reconstructed and compared with the simulation truth, but also with the results obtained with the method currently used (standard method).
Acknowledgement:
This work was supported by a grant of the Ministry of Research, Innovation and Digitization, CNCS/CCCDI – UEFISCDI, project number TE128/2020, within PNCDI III
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