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Basmajian-type inequalities for maximal representations

Abstract (Expand)

For suitable metrics on the locally symmetric space associated to a maximal representation, we prove inequalities between the length of the boundary and the lengths of orthogeodesics that generalize … the classical Basmajian’s identity from Teichmueller theory. Any equality characterizes diagonal embeddings.

Authors: Federica Fanoni, Maria Beatrice Pozzetti

Date Published: 2016

Publication Type: Misc

Case Study of Human Growth Hormone Interactions by Brownian Dynamics Simulation

Abstract

Not specified

Author: Astrid Stubbusch

Date Published: 2016

Publication Type: Bachelor's Thesis

Understanding the Progenitor Systems, Explosion Mechanisms, and Cosmological Utility of Type Ia Supernovae

Abstract

Not specified

Authors: Ryan Foley, Peter J. Brown, Peter Challis, Alex V. Filippenko, Gaston Folatelli, Ori Dosovitz Fox, Wolfgang Hillebrandt, Eric Hsiao, Daniel Kasen, Robert P. Kirshner, Markus Kromer, G. H. Marion, Peter Milne, Ruediger Pakmor, Yen-Chen Pan, Jerod Parrent, Mark M. Phillips, Giuliano Pignata, Adam Riess, Friedrich Roepke, Ivo Rolf Seitenzahl, Jeffrey M. Silverman, Maximillian Stritzinger, Stefan Taubenberger, J. Craig Wheeler

Date Published: 2016

Publication Type: Misc

On the application of the MARTINI coarse-grained model to immersion of a protein in a phospholipid bilayer

Abstract

Not specified

Authors: Ghulam Mustafa, Prajwal P. Nandekar, Xiaofeng Yu, Rebecca C. Wade

Date Published: 28th Dec 2015

Publication Type: Journal

An Efficient Independence Sampler for Updating Branches in Bayesian Markov chain Monte Carlo Sampling of Phylogenetic Trees

Abstract

Not specified

Authors: Andre J. Aberer, Alexandros Stamatakis, Fredrik Ronquist

Date Published: 14th Dec 2015

Publication Type: Journal

On the application of machine learning approaches in astronomy: Exploring novel representations of high-dimensional and complex astronomical data

Abstract (Expand)

The goal of the presented work is the application of data-driven methods on complex and high- dimensional astronomical databases. The focus of the work is the exploration of novel data representations … in order to enable the use of statistical learning approaches in the analysis of data. With the help of diverse science cases, the advantages of the introduced approaches for classication, visualization and regression tasks are shown by applying the developed methodology to astronomical data. In the first part, an alternative approach for estimating redshifts of spectra by using the knowledge about the redshifts provided by the SDSS pipeline is presented. A novel data repre- sentation is employed which contains only information relevant for estimating the redshift and the detection of multiple redshift systems. Subsequently, a novel data representation for regu- larly sampled light curves based on recurrent networks is presented. This allows an explorative investigation of huge databases with unlabeled data. Finally, a new way of representing the static part of irregularly sampled light curves by a mixture of Gaussians is discussed. This represen- tation is more general than the extraction of features, as it allows the inclusion of photometric uncertainties and avoids the introduction of observational biases.

Author: Sven Dennis Kugler

Date Published: 9th Dec 2015

Publication Type: Doctoral Thesis

The evolution of standards and data management practices in systems biology

Abstract

Not specified

Authors: Natalie J Stanford, Katherine Wolstencroft, Martin Golebiewski, Renate Kania, Nick Juty, Christopher Tomlinson, Stuart Owen, Sarah Butcher, Henning Hermjakob, Nicolas Le Novère, Wolfgang Mueller, Jacky Snoep, Carole Goble

Date Published: 8th Dec 2015

Publication Type: Journal

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