Zobrazeno 1 - 10
of 1 554
pro vyhledávání: '"Ramón, E."'
Autor:
Romero-Hernández, Luis G., Manuel-Cabrera, Jaime, Chan-López, Ramón E., Paulin-Fuentes, Jorge M.
This work conducts a Hamilton-Jacobi analysis of classical dynamical systems with internal constraints. We examine four systems, all previously analyzed by David Brown: three with familiar components (point masses, springs, rods, ropes, and pulleys)
Externí odkaz:
http://arxiv.org/abs/2408.15871
Currently, our understanding of magnetic fields in exoplanets remains limited compared to those within our solar system. Planets with magnetic fields emit radio signals primarily due to the Electron Cyclotron Maser Instability mechanism. In this stud
Externí odkaz:
http://arxiv.org/abs/2404.14468
Numerous numerical studies have been carried out in recent years that simulate different aspects of exoplanets' magnetosphere and stellar winds. These studies have focused primarily on hot Jupiters with sun-like stars. This study addresses the challe
Externí odkaz:
http://arxiv.org/abs/2404.14377
There are several methods for indirectly detecting exoplanets, such as transit, radial velocity, astrometry, and the conventional gravitational microlensing approach. These methods rely on observing the effects of exoplanets on the emission or motion
Externí odkaz:
http://arxiv.org/abs/2404.14359
Autor:
Bagheri, Fatemeh, Lopez, Ramon E.
Publikováno v:
Front. Astron. Space Sci., 08 June 2023, Sec. Space Physics, Volume 10 - 2023
Intense currents produced during geomagnetic storms dissipate energy in the ionosphere through Joule heating. This dissipation has significant space weather effects, and thus it is important to determine the ability of physics-based simulations to re
Externí odkaz:
http://arxiv.org/abs/2404.14330
Autor:
Clark, Randall, Abarbanel, Henry, Fairbanks, Luke C., Sanchez, Ramon E, Wacharanan, Pacharadech
Using data alone, without knowledge of underlying physical models, nonlinear discrete time regional forecasting dynamical rules are constructed employing well tested methods from applied mathematics and nonlinear dynamics. Observations of environment
Externí odkaz:
http://arxiv.org/abs/2303.16363
Autor:
Estupiñán, A., Acuña, J., Rodriguez, A., Ayala, A., Estupiñán, C., Gonzalez, Ramon E. R., Triana-Camacho, D. A., Cristiano-Rodríguez, K. L., Morales, Carlos Andrés Collazos
An analytical study of the disease COVID-19 in Colombia was carried out using mathematical models such as Susceptible-Exposed-Infectious-Removed (SEIR), Logistic Regression (LR), and a machine learning method called Polynomial Regression Method. Prev
Externí odkaz:
http://arxiv.org/abs/2208.05910
Autor:
Vera, Ramon E., Vivas, Keren A., Forfora, Naycari, Marquez, Ronald, Urdaneta, Isabel, Frazier, Ryen, Abbati de Assis, Camilla, de Assis, Tiago, Treasure, Trevor, Farrell, Matthew, Ankeny, Mary, Saloni, Daniel, Pal, Lokendra, Jameel, Hasan, Gonzalez, Ronalds
Publikováno v:
In Chemical Engineering Journal 15 November 2024 500
