Exploració per autor "Masoller Alonso, Cristina"
Ara es mostren els items 67-86 de 138
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Identifying large-scale patterns of unpredictability and response to insolation in atmospheric data
Arizmendi, Fernando; Barreiro, Marcelo; Masoller Alonso, Cristina (Macmillan Publishers, 2017-03-30)
Article
Accés obertUnderstanding the complex dynamics of the atmosphere is of paramount interest due to its impact in the entire climate system and in human society. Here we focus on identifying, from data, the geographical regions which ... -
Impact of lag information on network inference
Rubido, Nicolás; Masoller Alonso, Cristina (Springer, 2018-11-01)
Article
Accés obertExtracting useful information from data is a fundamental challenge across disciplines as diverse as climate, neuroscience, genetics, and ecology. In the era of “big data,” data is ubiquitous, but appropriate methods are ... -
Improving the prediction of the Madden-Julian Oscillation of the ECMWF model by post-processing
Silini, Riccardo; Lerch, Sebastian; Mastrantonas, Nikolaos; Kantz, Holger; Barreiro, Marcelo; Masoller Alonso, Cristina (2022-08-23)
Article
Accés obertThe Madden–Julian Oscillation (MJO) is a major source of predictability on the sub-seasonal (10 to 90 d) timescale. An improved forecast of the MJO may have important socioeconomic impacts due to the influence of MJO on ... -
Incoherent Light Sources for Speckle Reduction in Double Pass Ocular Imaging
Halpaap Halpaap, Herbert Donatus; Vilaseca Ricart, Meritxell; Masoller Alonso, Cristina (International Society for Photo-Optical Instrumentation Engineers (SPIE), 2017)
Article
Accés obert -
Inferring directed climatic interactions with renormalized partial directed coherence and directed partial correlation
Tirabassi, Giulio; Sommerlade, Linda; Masoller Alonso, Cristina (Institute of Physics (IOP), 2017-03-22)
Article
Accés obertInferring interactions between processes promises deeper insight into mechanisms underlying network phenomena. Renormalised partial directed coherence is a frequency-domain representation of the concept of Granger causality, ... -
Inferring long memory processes in the climate network via ordinal pattern analysis
Barreiro, Marcelo; Marti, Arturo; Masoller Alonso, Cristina (2011-03)
Article
Accés obertWe analyze climatological data from a complex networks perspective, using techniques of nonlinear time series symbolic analysis. Specifically, we employ ordinal patterns and binary representations to analyze monthly ... -
Inferring the connectivity of coupled chaotic oscillators using Kalman filtering
Forero Ortiz, Edwar Andres; Tirabassi, Giulio; Masoller Alonso, Cristina; Pons Rivero, Antonio Javier (Nature, 2021-11-17)
Article
Accés obertInferring the interactions between coupled oscillators is a significant open problem in complexity science, with multiple interdisciplinary applications. While the Kalman filter (KF) technique is a well-known tool, widely ... -
Inferring the connectivity of coupled oscillators and anticipating their transition to synchrony through lag-time analysis
Leyva Callejas, Inmaculada; Masoller Alonso, Cristina (2020-04-13)
Article
Accés obertThe synchronization phenomenon is ubiquitous in nature. In ensembles ofcoupled oscillators, explosive synchronization is a particular type of transition tophase synchrony that is first-order as the coupling strength ... -
Inferring the connectivity of coupled oscillators from time-series statistical similarity analysis
Tirabassi, Giulio; Sevilla Escoboza, Ricardo; Martín Buldú, Javier; Masoller Alonso, Cristina (Macmillan Publishers, 2015-06-04)
Article
Accés obertA system composed by interacting dynamical elements can be represented by a network, where the nodes represent the elements that constitute the system, and the links account for their interactions, which arise due to a ... -
Influence of Madden–Julian Oscillation on extreme rainfall events in Spring in southern Uruguay
Ungerovich, Matilde; Barreiro Parrillo, Marcelo; Masoller Alonso, Cristina (2021-04-01)
Article
Accés obertThe influence of Madden–Julian Oscillation (MJO) on the dynamics ofextreme rainfall events during austral Spring in Uruguay is investigated. Theresearch is focused on the southern region of the country, which includes15 ... -
Interaction network based early-warning indicators of vegetation transitions
Tirabassi, Giulio; Viebahn, Jan P.; Dakos, Vasilis; Dijkstra, Hendrik; Masoller Alonso, Cristina; Rietkerk, Max; Dekker, Stefan C. (2014-09-01)
Article
Accés restringit per política de l'editorialChanges in vegetation patterns in semi-arid regions can precede the abrupt transition to bare soil. Here, complex network techniques are used to develop novel early-warning indicators for these desertification transitions. ... -
Introduction to dynamical systems and flows on the line
Masoller Alonso, Cristina (Universitat Politècnica de Catalunya, 2021-03)
Apunts
Accés obert -
Laser models and dynamics
Masoller Alonso, Cristina (Universitat Politècnica de Catalunya, 2021-01)
Apunts
Accés obert -
Locking phenomena in semiconductor lasers near threshold with optical feedback and sinusoidal current modulation
Tiana Alsina, Jordi; Masoller Alonso, Cristina (2021-09-01)
Article
Accés obertThe dynamics of semiconductor lasers with optical feedback and current modulation has been extensively studied, and it is, by now, well known that the interplay of modulation and feedback can produce a rich variety of ... -
Low-frequency fluctuations in vertical-cavity surface-emitting semiconductor lasers with optical feedback
Masoller Alonso, Cristina; Abraham, N. B. (1999-04)
Article
Accés obertWe study the dynamics of a vertical-cavity surface-emitting laser operating near threshold and with isotropic optical feedback, using a model developed by San Miguel, Feng, and Moloney [Phys. Rev. A 52, 1728 (1995)]. The ... -
Machine learning algorithms for predicting the amplitude of chaotic laser pulses
Amil Marletti, Pablo; Cornelles Soriano, Miguel; Masoller Alonso, Cristina (Institute of Physics (IOP), 2019-11-12)
Article
Accés obertForecasting the dynamics of chaotic systems from the analysis of their output signals is a challenging problem with applications in most fields of modern science. In this work, we use a laser model to compare the performance ... -
Machine learning prediction of the Madden-Julian oscillation
Silini, Riccardo; Barreiro Parrillo, Marcelo; Masoller Alonso, Cristina (Springer Nature, 2021-11-25)
Article
Accés obertThe socioeconomic impact of weather extremes draws the attention of researchers to the development of novel methodologies to make more accurate weather predictions. The Madden–Julian oscillation (MJO) is the dominant mode ... -
Mapping atmospheric waves and unveiling phase coherent structures in a global surface air temperature reanalysis dataset
Zappala, Dario; Barreiro Parrillo, Marcelo; Masoller Alonso, Cristina (Institute of Physics (IOP), 2020-01-23)
Article
Accés obertIn the analysis of empirical signals, detecting correlations that capture genuine interactions between the elements of a complex system is a challenging task with applications across disciplines. Here, we analyze a global ... -
Modeling bidirectionally coupled single-mode semiconductor lasers
Mulet, J.; Masoller Alonso, Cristina; Mirasso, C. R. (2002-06)
Article
Accés obertWe develop a dynamical model suitable for the description of two mutually coupled semiconductor lasers in a face-to-face configuration. Our study considers the propagation of the electric field along the compound system ... -
Multi-stability and transient chaotic dynamics in semiconductor lasers with time-delayed optical feedback
Zamora Munt, Jordi; Masoller Alonso, Cristina; García Ojalvo, Jordi (World Scientific Publishing, 2010)
Capítol de llibre
Accés restringit per política de l'editorialWe investigate numerically the chaotic transient dynamics of a semiconductor laser with time-delayed optical feedback. This transient behavior is seen in the low-frequency fluctuations (LFF) regime ocurring when the laser ...