Annals

Annals

Author: Harvard College Observatory

Publisher:

Published: 1918

Total Pages: 312

ISBN-13:

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List of quarto publications, exclusive of the Annals , made by the officers of the observatory from 1877 to 1896, with references to the work of the Blue Hill observatory from 1885 to 1895: v. 30, p. 3-8.


The Formation and Early Evolution of Stars

The Formation and Early Evolution of Stars

Author: Norbert S. Schulz

Publisher: Springer Science & Business Media

Published: 2012-05-24

Total Pages: 530

ISBN-13: 3642239269

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Starburst regions in nearby and distant galaxies have a profound impact on our understanding of the early universe. This new, substantially updated and extended edition of Norbert Schulz’s unique book "From Dust to Stars" describes complex physical processes involved in the creation and early evolution of stars. It illustrates how these processes reveal themselves from radio wavelengths to high energy X-rays and gamma–rays, with special reference towards high energy signatures. Several sections devoted to key analysis techniques demonstrate how modern research in this field is pursued and new chapters are introduced on massive star formation, proto-planetary disks and observations of young exoplanets. Recent advances and contemporary research on the theory of star formation are explained, as are new observations, specifically from the three great observatories of the Spitzer Space Telescope, the Hubble Space Telescope and the Chandra X-Ray Observatory which all now operate at the same time and make high resolution space based observing in its prime. As indicated by the new title two new chapters have been included on proto-planetary disks and young exoplanets. Many more colour images illustrate attractive old and new topics that have evolved in recent years. The author gives updates in theory, fragmentation, dust, and circumstellar disks and emphasizes and strengthens the targeting of graduate students and young researchers, focusing more on computational approaches in this edition.


Statistical Inference from High Dimensional Data

Statistical Inference from High Dimensional Data

Author: Carlos Fernandez-Lozano

Publisher: MDPI

Published: 2021-04-28

Total Pages: 314

ISBN-13: 3036509445

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• Real-world problems can be high-dimensional, complex, and noisy • More data does not imply more information • Different approaches deal with the so-called curse of dimensionality to reduce irrelevant information • A process with multidimensional information is not necessarily easy to interpret nor process • In some real-world applications, the number of elements of a class is clearly lower than the other. The models tend to assume that the importance of the analysis belongs to the majority class and this is not usually the truth • The analysis of complex diseases such as cancer are focused on more-than-one dimensional omic data • The increasing amount of data thanks to the reduction of cost of the high-throughput experiments opens up a new era for integrative data-driven approaches • Entropy-based approaches are of interest to reduce the dimensionality of high-dimensional data