Skip to Main content Skip to Navigation
Theses

Radio-détection des rayons cosmiques d'ultra-haute énergie. Analyse, simulation et interprétation.

Abstract : Despite the use of giant detectors suitable for low flux beyond 1018 eV, the origin of ultra energy cosmic rays, remains unclear. In the 60', the radiodetection of air shower is proposed as a complementary technique to the ground particle detection and to the fluorescence method. A revival of this technique took place in the 2000s in particular with CODALEMA experiment. The first results show both a strong dependence of the signal to the geomagnetic field and a strong correlation between energy estimated by the radiodetectors and by particle detectors. The new generation of autonomous detectors created by the CODALEMA collaboration indicates that it is now possible to detect air showers autonomously. Due to the expected performances (a nearly 100% duty cycle, a signal generated by the complete shower, simplicity and low cost of a detector), it is possible to consider to deploy this technique for the future large arrays. In order to interpret experimental data, a simulation tool, SELFAS, is developed in this wok. This simulation code allowed us to highlight the existence of a second radioemission mechanism. A first interpretation of the longitudinal profile as an observable of a privileged instant of the shower development is also proposed, which could give an estimation of the nature of the primary.
Complete list of metadatas

https://tel.archives-ouvertes.fr/tel-00815115
Contributor : Vincent Marin <>
Submitted on : Thursday, April 18, 2013 - 11:11:56 AM
Last modification on : Friday, October 23, 2020 - 4:40:19 PM
Long-term archiving on: : Friday, July 19, 2013 - 4:01:17 AM

Identifiers

  • HAL Id : tel-00815115, version 1

Citation

Vincent Marin. Radio-détection des rayons cosmiques d'ultra-haute énergie. Analyse, simulation et interprétation.. Physique des Hautes Energies - Expérience [hep-ex]. Université de Nantes, 2011. Français. ⟨tel-00815115⟩

Share

Metrics

Record views

1351

Files downloads

2507