23 research outputs found
The Astropy Problem
The Astropy Project (http://astropy.org) is, in its own words, "a community
effort to develop a single core package for Astronomy in Python and foster
interoperability between Python astronomy packages." For five years this
project has been managed, written, and operated as a grassroots,
self-organized, almost entirely volunteer effort while the software is used by
the majority of the astronomical community. Despite this, the project has
always been and remains to this day effectively unfunded. Further, contributors
receive little or no formal recognition for creating and supporting what is now
critical software. This paper explores the problem in detail, outlines possible
solutions to correct this, and presents a few suggestions on how to address the
sustainability of general purpose astronomical software
Entwicklung einer Methode zur Rekonstruktionder Energie von Myonen mit dem Baikal-Neutrinoteleskop NT-96
Rekonstruktion der Energie von Myonen mit dem Baikal-Neutrinoteleskop NT-96
Diese Arbeit beschreibt die Entwicklung einer Methode zur Energierekonstruktion von Myonen in Unterwasserteleskopen unter Verwendung der Amplituden und Trefferwahrscheinlichkeiten der Photomultiplier. Die Methode wird auf die Daten des Myon- und Neutrinoteleskopes NT-96 angewandt.This thesis describes the development of a method for energy reconstruction of muons which are detected in underwater elescopes using the amplitudes and hit patterns of the photo multipliers. The method is applied to the data of the Baikal NT-96 muon and neutrino telescope
Provenance for Astrophysical Data
International audienceIn the context of astronomy projects, provenance information is important to enable scientists to trace back the origin of a dataset. It is used to learn about the people and organizations involved in a project and assess the quality of the dataset as well as the usefulness of the dataset their scientific work. As part of the data model group in the International Virtual Observatory Alliance (IVOA) we are working on the definition of a provenance data model for astronomy which shall describe how provenance metadata can be modeled, stored and exchanged. The data model is being implemented for different projects and use cases
Evaluierung des Marktanreizprogramms für erneuerbare Energien: Ergebnisse der Förderung für das Jahr 2010
IVOA Provenance Data Model Version 1.0
This document describes how provenance information can be modeled, stored and exchanged within the astronomical community in a standardized way. We follow the definition of provenance as proposed by the W3C, i.e. that "provenance is information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about its quality, reliability or trustworthiness." Such provenance information in astronomy is important to enable any scientist to trace back the origin of a dataset (e.g. an image, spectrum, catalog or single points in a spectral energy distribution diagram or a light curve), a document (e.g. an article, a technical note) or a device (e.g. a camera, a telescope), learn about the people and organizations involved in a project and assess the reliability, quality as well as the usefulness of the dataset, document or device for her own scientific work
IVOA Provenance Data Model Version 1.0
This document describes how provenance information can be modeled, stored and exchanged within the astronomical community in a standardized way. We follow the definition of provenance as proposed by the W3C, i.e. that "provenance is information about entities, activities, and people involved in producing a piece of data or thing, which can be used to form assessments about its quality, reliability or trustworthiness." Such provenance information in astronomy is important to enable any scientist to trace back the origin of a dataset (e.g. an image, spectrum, catalog or single points in a spectral energy distribution diagram or a light curve), a document (e.g. an article, a technical note) or a device (e.g. a camera, a telescope), learn about the people and organizations involved in a project and assess the reliability, quality as well as the usefulness of the dataset, document or device for her own scientific work