505 research outputs found

    Advanced image analysis techniques for extragalactic surveys

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    Image analysis applied to astronomy is a vast field. It contains several solutions to handle the many issues inherent to the peculiar nature of astronomical images. The entire area is cross-disciplinary, and it is based on a variety of mathematical and computer science approaches, which are also at the foundation of two techniques that are essential for the analysis of astronomical extragalactic images: ``denoising'' and ``deblending''. On the one hand, the goal of denoising algorithms is to reduce the observational noise intrinsic to the images without losing details (in our case, for example, faint distant galaxies). On the other hand, the purpose of deblending algorithms is to efficiently separate objects that appear overlapped in the image. State-of-the-art mathematical algorithms for denoising are commonly used in several fields, but there is almost no trace of application to astronomical observations in the scientific literature, in particular concerning optical and near-IR extragalactic observations. These algorithms have the potential to enhance objects detection, granting improved statistics without requiring additional telescope time. Deblending parametric algorithms have been tested, with good, albeit not optimal, results. Many new methods, based on machine learning techniques, have been developed and are now being proposed. Improved deblending algorithms have the potential to enhance high-precision measurements at the basis of cosmological and galaxy evolution investigations. Therefore, an in-depth study of these techniques is mandatory to assess all their possible advantages and risks quantitatively, and plan their application to forthcoming surveys where unsupervised image analysis will be unavoidable due to the massive amount of data that will be acquired. The goal of this thesis is to test new approaches to the denoising and deblending of astronomical images. In particular, we found that a small group of denoising algorithms (ATVD, Perona-Malik, Bilateral, and TV Chambolle) enhance objects detection without altering fluxes and shapes. Whereas, tested machine learning techniques (ASTErIsM-DENCLUE, blend2flux, and blend2mask2flux) accurately separate and recover fluxes of two blended objects, more reliably than the standard approaches

    Hermann Kant. Ein bio- bibliografisches Profil

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    The proximity to the power apparatus has cast dark shadows on the literary work of Hermann Kant, who is regarded as one of the most read authors of the GDR. Valerio Furneri embeds Kant's life and work in the all-German context of the 20th century and reinterprets his classics such as Die Aula or Der Aufenthalt. The author does not pursue the claim to rehabilitate the GDR, nor to trivialise Kant's role in it. Instead, the attempt is made to look at Kant's entire work from a temporal distance and to re-evaluate it. Through his works, Kant was able to accompany and depict not only the German-German history, but also European history.Die Nähe zum Machtapparat hat dunkle Schatten auf das literarische Werk von Hermann Kant, der als meistgelesener Schriftsteller der DDR gilt, geworfen. Valerio Furneri bettet Kants Leben und Werk in den gesamtdeutschen Kontext des 20. Jahrhunderts ein und interpretiert vor diesem Hintergrund Klassiker wie Die Aula oder Der Aufenthalt neu. Der Autor verfolgt dabei weder den Anspruch, die DDR zu rehabilitieren, noch Kants Rolle darin kleinzureden. Stattdessen wird der Versuch unternommen, Kants Gesamtwerk aus zeitlicher Distanz zu betrachten und neu zu bewerten. Durch seine Werke gelang es Kant nämlich nicht nur die deutsch-deutsche, sondern auch die europäische Geschichte zu begleiten und abzubilden

    Hermann Kant. Ein bio- bibliografisches Profil

    No full text
    The proximity to the power apparatus has cast dark shadows on the literary work of Hermann Kant, who is regarded as one of the most read authors of the GDR. Valerio Furneri embeds Kant's life and work in the all-German context of the 20th century and reinterprets his classics such as Die Aula or Der Aufenthalt. The author does not pursue the claim to rehabilitate the GDR, nor to trivialise Kant's role in it. Instead, the attempt is made to look at Kant's entire work from a temporal distance and to re-evaluate it. Through his works, Kant was able to accompany and depict not only the German-German history, but also European history.Die Nähe zum Machtapparat hat dunkle Schatten auf das literarische Werk von Hermann Kant, der als meistgelesener Schriftsteller der DDR gilt, geworfen. Valerio Furneri bettet Kants Leben und Werk in den gesamtdeutschen Kontext des 20. Jahrhunderts ein und interpretiert vor diesem Hintergrund Klassiker wie Die Aula oder Der Aufenthalt neu. Der Autor verfolgt dabei weder den Anspruch, die DDR zu rehabilitieren, noch Kants Rolle darin kleinzureden. Stattdessen wird der Versuch unternommen, Kants Gesamtwerk aus zeitlicher Distanz zu betrachten und neu zu bewerten. Durch seine Werke gelang es Kant nämlich nicht nur die deutsch-deutsche, sondern auch die europäische Geschichte zu begleiten und abzubilden

    Special issue: Process safety in times of a pandemic

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    Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Safety and Security Scienc

    The intentionality of matter: the personal character of nature in Edith Stein's "Potency and act"

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    In the closing chapter, Francesco Valerio Tommasi elaborates upon the analogy between person and nature in Stein. As he emphasizes, Stein attributes to nature an objectively spiritual dimension, a hidden form of intentionality. As the author suggests, for Stein nature turns out to be a living sign of the spirit—thus, a sign expressing spiritual values, such as emotions. This perspective is present in both the lectures on The Constitution of the Human Person and Potency and Act: the phenomenological reflection on personhood is combined, Tommasi argues, with a Thomist view that brings Stein to conceiving the life of the entire cosmos as a spirit (or act) informing it and shaping it into a living sign of the creation

    Proceedings of the LREC 2020 workshop on Resources and Techniques for User and Author Profiling in Abusive Language (ResT-UP 2020)

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    This volume documents the Proceedings of the 1st Workshop on Resources and Techniques for User and Author Profiling in Abusive Language (ResT-UP), held online on 12 May 2020 as part of the LREC 2020 conference (International Conference on Language Resources and Evaluation). The workshop aimed at bringing together researchers and scholars working on author profiling and automatic detection of abusive language on the Web, e.g., cyberbullying or hate speech, with a twofold objective: improving the existing LRs, e.g., datasets, corpora, lexicons, and sharing ideas on stylometry techniques and features needed for profile information extraction and classification. ResT-UP targeted Profiling scholars and research groups, experts in Statistic and Stylistic Analysis of texts as well as computational linguists who investigate author profile and personality both in short texts (social media posts, blog texts and email) and in long texts (such as pamphlets, (fake) news and political documents). ReST-UP represented an opportunity to share profiling experiments with the scientific community and to show automatic detection techniques of abusive language on the Web. Despite the cancellation of LREC 2020 due to the COVID-19 international emergency, ResT-UP was organized online on Microsoft Teams on May 12th 2020 and the programme included three oral presentations and featured an invited talk by Paolo Rosso. ResT-UP was attended by about fifty representatives of academic and industrial organisations

    Welcome to Hell. Dante’s “Inferno” in Valerio Evangelisti’s Eymerich Cycle

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    The paper examines how Valerio Evangelisti took inspiration from Dante’s Inferno for his Eymerich saga. Evangelisti considers the Middle Ages a mirror of the present and depicts history as a complex system of interrelated events and characters which are mutually linked. In creating a medieval atmosphere which is synchronous with other eras, the author often evokes images and characters from Dante’s Inferno.Nell’articolo si mostra come Valerio Evangelisti si sia ispirato all’Inferno di Dante nella scrittura della sua saga di Eymerich. Evangelisti considera il Medioevo alla stregua di uno specchio del presente, e raffigura la storia come un sistema complesso di eventi interrelati e di personaggi reciprocamente legati l’uno all’altro. Nel creare un’atmosfera medievale che si presenta sincrona rispetto ad altre epoche, Evangelisti evoca soprattutto immagini e personaggi dell’Inferno dantesco

    Il mondo di Ione di Chio. Riflessioni a margine di una recente pubblicazione

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    The recent publication of a book about Ion of Chios is the occasion for a critical look on this intriguing author and his life and works and to evaluate his impact both on his contemporaries and later Greek literature

    Robust Satellite Techniques (RST) for Natural and Environmental Hazards Monitoring and Mitigation: Theory and Applications

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    Several algorithms and data analysis techniques have been proposed using satellite observations (within atmospheric spectral windows) for cloud and surface parameters studies and for human environment monitoring applications. Quite all these algorithms are difficult to extend to different geographical, seasonal conditions, generally offering poor performances and uncertain reliability especially when applied in environmental risk prevision, monitoring and/or mitigation. In this paper the generalized satellite data analysis approach RST (Robust Satellite Technique) is described which extend the use of RAT (Robust AVHRR Techniques) approach -previously proposed by the same author in 1998 -to whatever satellite sensors. Successful RST applications are also described with reference to results so far achieved by using optical and microwaves passive sensors for volcanic eruption monitoring and prediction, forest fire detection, floods mapping, monitoring and early warning, possible earthquake precursors monitoring, oil spill detection and pipeline networks monitoring
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