Asiste al congreso de forma virtual
Como todos los años emitiremos el congreso por Youtube para que alumnos y alumnas de toda España puedan verlo.
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PONENTES INVITADOS
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Ponentes Alumnos
Daniel Galán Morales
Eva Sola Vildesau
Laura Marrero Mayor
Norberto Medina
David Peña Arévalo
Ana Gil
Carlos Socas
Maialen Orta García
Jose Daniel Marrero Falcón
Christian Hernández Álvarez
Equipo TEIDESAT
Pósteres Científicos
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Samuel Afonso y J.Plata
Abstract: «In this work we introduce the problem of decoherence in Quantum Mechanics caused by generic nonstatic fluctuations. The Countinuous Dynamical Decoupling (CDD) method is introduced and the analyzed in different noise scenarios to test its applicability and usefulness»
Radek Vasicek Ruiz y A. Muñoz Mateo
Abstract: «Ultra-cold gas experiments have demonstrated that a two-component Bose-Einstein condensate of electrically neutral atoms, subject to a component-dependent synthetic gauge field, is capable to simulate the dynamics of an extended system of electrically charged spin 1/2 particles in the presence of a magnetic field. By considering the system as a realization of the external Josephson effect we explore the coherent momentum transfer across the junction in the presence of both weak and strong synthetic magnetic fields.»
A. Alfonso-Afonso
Abstract: «Converting the large infrared tail of the sun into visible for renewable energy applications».
Eva Sola Viladesau y Dr. Daniel Elías
Abstract: «Solar Surges are cool plasma ejerctions from the inetermediate layer of the Sun’s atmosphere, the chromosphere. These events are caused by flux emergence and magnetic reconnection. They can be detected through a noticeable effect on certain spectral ineas such as H(alpha) or Mg II h&k, and now Machine Learning is helping us spot them».
P. Sosa Guillén et al.
Abstract: «Bioclimatic indicators are extremely valuable tools that help us to explain many climate change issues. For this reasons and with the aim of generating a high-resolution dataset for the Canary Islands, this work introduces a unique dataset called BICI-ULL (Bioclimatic Indicators in the Canary Island by the ULL-GOTA), which is based on the results of dynamic climate regionalisations.»
