23 research outputs found

    The Astropy Problem

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    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

    Rekonstruktion der Energie von Myonen mit dem Baikal-Neutrinoteleskop NT-96

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    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

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    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

    IVOA Provenance Data Model Version 1.0

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    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

    No full text
    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
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