Radio detection of ultra high energy cosmic rays : commissioning and data analysis of an array of autonomous stations.

Ultra high energy cosmic rays are undoubtedly the product of the most energetic process in the universe. Their energy can reach macroscopic values (up to around 10 Joules!) and it is converted to kinetic energy of the particles which compose the air shower in the atmosphere. Questions about their source and propagation in the interstellar medium are still open, making the field of the astroparticle physics very attractive. The CODALEMA experiment is an instrument devoted to indirect cosmic ray detection through the radio emission induced by charged particles of air showers. This thesis presents results of data analysis since 2010 concerning the latest setup of the experiment, which is composed of 34 autonomous stations. The noise analysis has revealed that autonomous stations are sensitive to several human-made interferences. Since, methods for background rejection has been developed with the aim of embedding them into the next generation electronic boards. Likewise, the radio emission process taking place in the shower during its development are studied through their polarization pattern. The presence of the two preponderant emission mechanisms (transverse current and charge excess) are highlighted in this data set. A new parametrization of the lateral profile is also suggested.

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Source https://theses.hal.science/tel-00975738
Author Torres Machado, Diego
Maintainer CCSD
Last Updated May 5, 2026, 15:52 (UTC)
Created May 5, 2026, 15:52 (UTC)
Identifier NNT: 500
Language fr
Rights https://about.hal.science/hal-authorisation-v1/
contributor Laboratoire de physique subatomique et des technologies associées (SUBATECH) ; Mines Nantes (Mines Nantes)-Université de Nantes (UN)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
creator Torres Machado, Diego
date 2013-10-31T00:00:00
harvest_object_id cb5fcecb-3233-425e-ae56-2dfa6e97407d
harvest_source_id 3374d638-d20b-4672-ba96-a23232d55657
harvest_source_title test moissonnage SELUNE
metadata_modified 2026-04-07T00:00:00
set_spec type:THESE