1 School of Environmental Sciences, University of KwaZulu-Natal, King George V Avenue, Glenwood, Durban 4041, South Africa 2 Council for Scientific and Industrial Research, Natural Resources and the Environment, Ecosystems, Earth Observation, PO Box 395, Pretoria 0001, South Africa 3 Laboratory for Imaging Algorithms and Systems, Center for Imaging Science, Rochester Institute of Technology, 54...

Sergio Dain, Carlos O. Lousto, and Yosef Zlochower Facultad de Matemática, Astronomı́a y Fı́sica, Universidad Nacional de Córdoba, Ciudad Universitaria (5000), Córdoba, Argentina Max Planck Institute for Gravitational Physics (Albert Einstein Institute), Am Mühlenberg 1, D-14476 Potsdam, Germany Center for Computational Relativity and Gravitation, School of Mathematical Sciences, Rochester Instit...

More than 30 million of high-energy muons collected with the MACRO detector at the underground Gran Sasso Laboratory have been used to search for flux variations of different natures. Two kinds of studies were carried out: search for periodic variations and for the occurrence of clusters of events. Different analysis methods, including Lomb-Scargle spectral analysis and Scan Test statistics hav...

1Graduate Program in Computational Modeling, Federal University of Juiz de Fora, 36036-330 Juiz de Fora, MG, Brazil 2Department of Applied Physics, Polytechnic University of Catalonia, Avenida Dr. Marañón 44, 08028 Barcelona, Spain 3School of Mathematical Sciences, Rochester Institute of Technology, 85 Lomb Memorial Drive, Rochester, NY 14623, USA 4Simula Research Laboratory, Martin Linges Vei ...

1 School of Environmental Sciences, University of KwaZulu-Natal, King George V Avenue, Glenwood, Durban 4041, South Africa 2 Council for Scientific and Industrial Research, Natural Resources and the Environment, Ecosystems, Earth Observation, PO Box 395, Pretoria 0001, South Africa 3 Rochester Institute of Technology Center for Imaging Science, Laboratory for Imaging Algorithms and Systems, 54 ...

In this paper, we address the problem of frequency estimation when multiple stationary nonsinusoidal resonances oscillate about a trend in nonuniformly sampled data when the number and shape of the resonances are unknown. To solve this problem we postulate a model that relates the resonances to the data and then apply Bayesian probability theory to derive the posterior probability for the numbe...