922 resultados para Siglos XV-XVI


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Le Catholicisme et l’Islam, les deux plus grandes religions du monde numériquement, connaissent des rapports oscillants entre dialogue et rivalités. Ces deux derniers se manifestent à travers une variété d’actions, nationales et internationales, ainsi que par des écrits et des déclarations. Du côté catholique, ce dynamisme est promu en particulier par la pensée du Pape Benoit XVI à l’égard du dialogue avec la religion musulmane, qui est centrée sur le respect des libertés religieuses loin de la violence, ainsi que la préservation de l’identité. Du côté musulman, il existe plusieurs acteurs soucieux de présenter une image paisible de leur religion. Leurs efforts prennent différentes formes de dialogue, dont certaines s’opèrent dans un contexte étatique où le politique prime sur le religieux, à l’image des démarches des royaumes saoudien et jordanien. À ces activités de nature plus étatique, s’ajoutent des activités académiques et théologiques d’intellectuels et de religieux musulmans, tels que le professeur sunnite tunisien Mohammed Talbi et l’Imam chiite libanais Muhammad Hussein Fadlullah. Ils soulèvent les mêmes craintes identitaires et prônent les mêmes revendications de liberté et de dialogue que le Pape Benoit XVI, à partir de leurs perspectives musulmanes. L’entente cordiale entre l’Islam et le Catholicisme est donc mêlée à des controverses et des points conflictuels qui soumettent le dialogue à des enjeux religieux, historiques et politiques propres au contexte de ses tenants. À travers toute cette subtilité et ces complications, le dialogue reste toujours un objectifde chacun des protagonistes.

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À partir des années 90, parmi les transformations qu’entraine l’effondrement de l’Union soviétique à Cuba et au milieu des redéfinitions de la cubanité, apparaissent des œuvres narratives contre-discursives et actualisées sur la négritude, la race et le racisme. La représentation du Noir dans les romans de cette période prend toute sa signification du fait que se configure alors un champ de discussion dans lequel convergent différentes modalités et perceptions. Notre recherche explore le terrain discursif entourant les définitions de la cubanité et la négritude qui circulent à cette période à Cuba, pour ensuite voir de quelle manière elles se répercutent sur les auteurs et textes littéraires. À travers l’analyse des oeuvres des écrivains Eliseo Altuanga et Marta Rojas, cette thèse reconstruit leurs dialogues avec l’historiographie littéraire cubaine, l’Histoire de l’Ile et les discours plus actualisés quant au débat ethno-racial. Au moyen de visualisations opposées par rapport à l’histoire de Cuba, Altuanga et Rojas élaborent des œuvres et des personnages avec des différences idéoesthétiques marquées. Ainsi, le premier focalisera sur la recherche d’une rupture épistémologique quant à la conception du Noir dans l’imaginaire cubain, soulignant les événements de l’histoire nationale qui considèrent le Noir comme protagoniste, ce qui renforce l’idée d’une continuité dans son état de subalternisation. En ce qui concerne les protagonistes de Rojas, elle fait appel à des mulâtresses pour raconter le processus de transculturation par lequel, à son point de vue, s’est consolidée l’identité culturelle actuelle des Cubains. Suspendue dans un espace d’énonciation intermédiaire entre les premières décennies de la Révolution et la Période spéciale en Temps de Paix, Rojas construit une trilogie romanesque qui s’efforce à signaler la coupure entre les périodes pré- et postrévolutionnaires quant au traitement du Noir.

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Study on variable stars is an important topic of modern astrophysics. After the invention of powerful telescopes and high resolving powered CCD’s, the variable star data is accumulating in the order of peta-bytes. The huge amount of data need lot of automated methods as well as human experts. This thesis is devoted to the data analysis on variable star’s astronomical time series data and hence belong to the inter-disciplinary topic, Astrostatistics. For an observer on earth, stars that have a change in apparent brightness over time are called variable stars. The variation in brightness may be regular (periodic), quasi periodic (semi-periodic) or irregular manner (aperiodic) and are caused by various reasons. In some cases, the variation is due to some internal thermo-nuclear processes, which are generally known as intrinsic vari- ables and in some other cases, it is due to some external processes, like eclipse or rotation, which are known as extrinsic variables. Intrinsic variables can be further grouped into pulsating variables, eruptive variables and flare stars. Extrinsic variables are grouped into eclipsing binary stars and chromospheri- cal stars. Pulsating variables can again classified into Cepheid, RR Lyrae, RV Tauri, Delta Scuti, Mira etc. The eruptive or cataclysmic variables are novae, supernovae, etc., which rarely occurs and are not periodic phenomena. Most of the other variations are periodic in nature. Variable stars can be observed through many ways such as photometry, spectrophotometry and spectroscopy. The sequence of photometric observa- xiv tions on variable stars produces time series data, which contains time, magni- tude and error. The plot between variable star’s apparent magnitude and time are known as light curve. If the time series data is folded on a period, the plot between apparent magnitude and phase is known as phased light curve. The unique shape of phased light curve is a characteristic of each type of variable star. One way to identify the type of variable star and to classify them is by visually looking at the phased light curve by an expert. For last several years, automated algorithms are used to classify a group of variable stars, with the help of computers. Research on variable stars can be divided into different stages like observa- tion, data reduction, data analysis, modeling and classification. The modeling on variable stars helps to determine the short-term and long-term behaviour and to construct theoretical models (for eg:- Wilson-Devinney model for eclips- ing binaries) and to derive stellar properties like mass, radius, luminosity, tem- perature, internal and external structure, chemical composition and evolution. The classification requires the determination of the basic parameters like pe- riod, amplitude and phase and also some other derived parameters. Out of these, period is the most important parameter since the wrong periods can lead to sparse light curves and misleading information. Time series analysis is a method of applying mathematical and statistical tests to data, to quantify the variation, understand the nature of time-varying phenomena, to gain physical understanding of the system and to predict future behavior of the system. Astronomical time series usually suffer from unevenly spaced time instants, varying error conditions and possibility of big gaps. This is due to daily varying daylight and the weather conditions for ground based observations and observations from space may suffer from the impact of cosmic ray particles. Many large scale astronomical surveys such as MACHO, OGLE, EROS, xv ROTSE, PLANET, Hipparcos, MISAO, NSVS, ASAS, Pan-STARRS, Ke- pler,ESA, Gaia, LSST, CRTS provide variable star’s time series data, even though their primary intention is not variable star observation. Center for Astrostatistics, Pennsylvania State University is established to help the astro- nomical community with the aid of statistical tools for harvesting and analysing archival data. Most of these surveys releases the data to the public for further analysis. There exist many period search algorithms through astronomical time se- ries analysis, which can be classified into parametric (assume some underlying distribution for data) and non-parametric (do not assume any statistical model like Gaussian etc.,) methods. Many of the parametric methods are based on variations of discrete Fourier transforms like Generalised Lomb-Scargle peri- odogram (GLSP) by Zechmeister(2009), Significant Spectrum (SigSpec) by Reegen(2007) etc. Non-parametric methods include Phase Dispersion Minimi- sation (PDM) by Stellingwerf(1978) and Cubic spline method by Akerlof(1994) etc. Even though most of the methods can be brought under automation, any of the method stated above could not fully recover the true periods. The wrong detection of period can be due to several reasons such as power leakage to other frequencies which is due to finite total interval, finite sampling interval and finite amount of data. Another problem is aliasing, which is due to the influence of regular sampling. Also spurious periods appear due to long gaps and power flow to harmonic frequencies is an inherent problem of Fourier methods. Hence obtaining the exact period of variable star from it’s time series data is still a difficult problem, in case of huge databases, when subjected to automation. As Matthew Templeton, AAVSO, states “Variable star data analysis is not always straightforward; large-scale, automated analysis design is non-trivial”. Derekas et al. 2007, Deb et.al. 2010 states “The processing of xvi huge amount of data in these databases is quite challenging, even when looking at seemingly small issues such as period determination and classification”. It will be beneficial for the variable star astronomical community, if basic parameters, such as period, amplitude and phase are obtained more accurately, when huge time series databases are subjected to automation. In the present thesis work, the theories of four popular period search methods are studied, the strength and weakness of these methods are evaluated by applying it on two survey databases and finally a modified form of cubic spline method is intro- duced to confirm the exact period of variable star. For the classification of new variable stars discovered and entering them in the “General Catalogue of Vari- able Stars” or other databases like “Variable Star Index“, the characteristics of the variability has to be quantified in term of variable star parameters.

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La guía forma parte de una colección de cuadernillos incluidos en una carpeta bajo el título 'Los Molinos informan' que el Museo hidráulico realiza con motivo de las exposiciones realizadas