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Astronomy looks after its data better than most disciplines, and it is no coincidence that the consensus standard for the archival preservation of all types of digital assets -- the OAIS Reference Model -- emerged originally from the space…

Instrumentation and Methods for Astrophysics · Physics 2011-06-21 Norman Gray , Graham Woan

Several different controlled vocabularies have been developed and used by the astronomical community, each designed to serve a specific need and a specific group. The Unified Astronomy Thesaurus (UAT) attempts to provide a highly structured…

Instrumentation and Methods for Astrophysics · Physics 2018-05-23 Katie Frey , Alberto Accomazzi

Astrophysics has become a domain extremely rich of scientific data. Data mining tools are needed for information extraction from such large datasets. This asks for an approach to data management emphasizing the efficiency and simplicity of…

Databases · Computer Science 2009-11-10 M. Frailis , A. De Angelis , V. Roberto

The new NASA Astrophysics Data System (ADS) is designed with a serviceoriented architecture (SOA) that consists of multiple customized Apache Solr search engine instances plus a collection of microservices, containerized using Docker, and…

Summary: Abstracts in biomedical articles can provide a quick overview of the articles but detailed information cannot be obtained without reading full-text contents. Full-text articles certainly generate more information and contents;…

Information Retrieval · Computer Science 2016-12-30 Chao-Hsuan Ke , Tsung-Lu Michael Lee , Jung-Hsien Chiang

Currently public ESO data sets pertinent to the CDFS/GOODS field are briefly illustrated along with an indication on how to get access to them. Future ESO plans for complementing the GOODS database with optical/IR imaging and optical…

Current X-ray observatories, archival X-ray data, and the Sloan Digital Sky Survey (SDSS) represent a powerful combination for addressing key questions about active galactic nuclei (AGN). We describe a few selected issues at the forefront…

Astrophysics · Physics 2007-05-23 W. N. Brandt , D. P. Schneider , C. Vignali

Undergraduate physics and astronomy students are expected to engage with scientific literature as they begin their research careers, but reading comprehension skills are rarely explicitly taught in major courses. We seek to determine the…

We present a review of data types and statistical methods often encountered in astronomy. The aim is to provide an introduction to statistical applications in astronomy for statisticians and computer scientists. We highlight the complex,…

Physics Education · Physics 2017-10-23 James P. Long , Rafael S. de Souza

In the social sciences, researchers search for information on the Web, but this is most often distributed on different websites, search portals, digital libraries, data archives, and databases. In this work, we present an integrated search…

Digital Libraries · Computer Science 2019-09-25 Daniel Hienert , Dagmar Kern , Katarina Boland , Benjamin Zapilko , Peter Mutschke

The NASA Star and Exoplanet Database (NStED) is a general purpose stellar archive with the aim of providing support for NASA's planet finding and characterization goals, stellar astrophysics, and the planning of NASA and other space…

Adaptive simulated annealing (ASA) is a global optimization algorithm based on an associated proof that the parameter space can be sampled much more efficiently than by using other previous simulated annealing algorithms. The author's ASA…

Mathematical Software · Computer Science 2007-05-23 Lester Ingber

We review some aspects of the current state of data-intensive astronomy, its methods, and some outstanding data analysis challenges. Astronomy is at the forefront of "big data" science, with exponentially growing data volumes and data…

Instrumentation and Methods for Astrophysics · Physics 2014-11-04 G. Longo , M. Brescia , S. G. Djorgovski , S. Cavuoti , C. Donalek

As members of the instrument team for the Advanced CCD Imaging Spectrometer (ACIS) on NASA's Chandra X-ray Observatory and as Chandra General Observers, we have developed a wide variety of data analysis methods that we believe are useful to…

High Energy Astrophysical Phenomena · Physics 2015-05-18 Patrick S. Broos , Leisa K. Townsley , Eric D. Feigelson , Konstantin V. Getman , Franz E. Bauer , Gordon P. Garmire

Neural Architecture Search (NAS) is a popular tool for automatically generating Neural Network (NN) architectures. In early NAS works, these tools typically optimized NN architectures for a single metric, such as accuracy. However, in the…

Neural and Evolutionary Computing · Computer Science 2023-04-05 Emil Njor , Jan Madsen , Xenofon Fafoutis

XAssist is a NASA AISR-funded project for the automation of X-ray astrophysics, with emphasis on galaxies. It is nearing completion of its initially funded effort, and is working well for Chandra and ROSAT HRI data. Initial support for…

Astrophysics · Physics 2007-05-23 A. Ptak , R. Griffiths

By utilising the inbuilt citation counts from NASA's astrophysics data system (ADS) I derive how many citations refereed articles receive as a function of time since publication. After five years, one paper in a hundred has accumulated 91…

Astrophysics · Physics 2009-11-10 Frazer Pearce

Ubiquitous computing based on small mobile devices using wireless communication links is becoming very attractive. The computational power and storage capacities provided allow the execution of sophisticated applications. Due to the fact…

Networking and Internet Architecture · Computer Science 2007-08-07 Christian Hutter , Matthias R. Brust , Steffen Rothkugel

As the AAS Working Group on Graduate Admissions (WGGA) we are sharing brief recommendations for improving and standardizing key elements of the graduate admissions process in astronomy. Most astronomy graduate programs have large areas of…

Instrumentation and Methods for Astrophysics · Physics 2026-05-05 Emily M. Levesque , Courtney D. Dressing , Rachel Ivie , Grace Krahm , Meredith A. MacGregor , Daniel R. Piacitelli , Tom Rice

Detecting salient parts in text using natural language processing has been widely used to mitigate the effects of information overflow. Nevertheless, most of the datasets available for this task are derived mainly from academic…

Computation and Language · Computer Science 2024-03-26 Andrés García-Silva , Cristian Berrío , José Manuel Gómez-Pérez