36,520 research outputs found

    Orsa bella, crudele (G. B. Marino)

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    From the critical edition of "Musiche concertate" by Giovanni Valentini, Venice, 1619. English translation of the madrigal texts by John Whenham, German translation by Joachim Steinheuer. Critical notes and sound file by Pyrros Bamichas

    ARCS: The Asiago Red Clump Spectroscopic Survey and its First Applications

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    The PhD thesis "ARCS" the Asiago Red Clump Survey and its first applications" is based on the study and the use of Red Clump stars, utilizing the data from ARCS and RAVE surveys. The high luminosity, constant absolute magnitude and abundance, make Red Clump stars a powerful distance indicator and, consequently, they are an important tool for ever astrophysical question in which distance problem is relevant. ARCSs (the Asiago Red Clump Spectroscopic survey) derives from high resolution optical spectra, accurate multi-epoch radial velocities and atmospheric parameters for a well selected sample of 500 equatorial Red Clump stars (|b|<6°) , belonging to the solar neighborhood. Spectra are obtained with the Asiago 1.82m + Echelle spectrograph, they cover a wide spectral interval (3700-7300 Å) with a high resolution (R = 20,000) . Radial velocity measurements are performed by cross-correlating spectra against synthetic templates; atmospheric parameters are derived via χ2 fitting with a synthetic database of spectra. The synthetic spectra are taken from the library of Munari et al. (2005, A&A 442,1127), based on Kurucz's codes. The PhD research succeded in: -the creation of a wide catalog of RC stars; -to better investigate the structure of this type of stars; -to calibrate dependence of the absolute magnitude of RC stars against the metallicity; -to apply this function in order to define the use of RC stars as standard candles; -the use of this type of stars for analyzing Milky Way structure and kinematics.La tesi di dottorato da titolo "ARCS: The Asiago Red Clump Survey and its firs applications" si occupa di meglio indagare e caratterizzare le stelle di Red Clump locali, al fine di utilizzare questo tipo di stelle come indicatori di distanza, struttura e cinematica della Via Lattea . Il progetto comprende la survey ARCS (Asiago Red Clump spectroscopic Survey) e si e' occupato di sfruttarne scientificamente i risultati. Parte del progetto e'stato effettuato in collaborazione con K. Freeman del Mt Stromlo Observatory. Il risultato di questo lavoro e' un esteso catalogo di parametri atmosferici e velocita' radiali per un campione di 300 stelle di Red Clump. I dati ottenuti sono stai applicati a problemi classici di struttura e cinematica galattica, come la detection di streams, la determinazione della velocità di fuga locale e presenza di dark matter

    Gene expression data analysis of human lymphoma using support vector machines and output coding ensembles

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    The large amount of data generated by DNA microarrays was originally analysed using unsupervised methods, such as clustering or self-organizing maps. Recently supervised methods such as decision trees, dot-product support vector machines (SVM) and multi-layer perceptrons (MLP) have been applied in order to classify normal and tumoural tissues. We propose methods based on non-linear SVM with polynomial and Gaussian kernels, and output coding (OC) ensembles of learning machines to separate normal from malignant tissues, to classify different types of lymphoma and to analyse the role of sets of coordinately expressed genes in carcinogenic processes of lymphoid tissues. Using gene expression data from “Lymphochip”, a specialised DNA microarray developed at Stanford University School of Medicine, we show that SVM can correctly separate normal from tumoural tissues, and OC ensembles can be successfully used to classify different types of lymphoma. Moreover, we identify a group of coordinately expressed genes related to the separation of two distinct subgroups inside diffuse large B-cell lymphoma (DLBCL), validating a previous Alizadeh’s hypothesis about the existence of two distinct diseases inside DLBCL
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