Academic literature on the topic 'Astronomical Databases'

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Journal articles on the topic "Astronomical Databases"

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Protsyuk, Y., and A. Mazhaev. "Astronomical databases of Nikolaev Observatory." Proceedings of the International Astronomical Union 3, S248 (2007): 548–52. http://dx.doi.org/10.1017/s1743921308020127.

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AbstractSeveral astronomical databases were created at Nikolaev Observatory during the last years. The databases are built by using MySQL search engine and PHP scripts. They are available on NAO web-site http://www.mao.nikolaev.ua.
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PASIAN, FABIO, and RICCARDO SMAREGLIA. "WWW ACCESS TO ASTRONOMICAL ARCHIVES AND DATABASES." International Journal of Modern Physics C 05, no. 05 (1994): 817–30. http://dx.doi.org/10.1142/s0129183194000945.

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In this document, an approach to the development of WWW-accessible astronomical archives and databases is described, which can easily be extended also to other disciplines. The architecture is based on a set of servers running at the archive site, each performing a specialized task: accessing an SQL-based DBMS, retrieving and downlinking 1-D or 2-D data (measurements), displaying quicklook data, or plotting the results of a query to the database. All of the information on the user interface is dynamically stored in the database, allowing the pages to be prepared on-the-fly; no additional softw
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Greene, G., B. McLean, B. Lasker, D. Wolfe, R. Morbidelli, and A. Volpicelli. "The GSC-I and GSC-II Databases: An Object-Oriented Approach." Symposium - International Astronomical Union 179 (1998): 474–77. http://dx.doi.org/10.1017/s0074180900129353.

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The original GSC-I (Jenkner et al. 1990) which contains 25 million entries and requires approximately 1GB of storage was at the edge of technological capability at the time catalogue construction began in 1984. At that time, a custom coded database was built since the relational databases of the era were unsuited to the HST-specific access requirements. A second generation GSC is now being constructed (Lasker et al. 1995), with an estimated 10 billion entries and a size of 2 Terabytes. The current generation of object-oriented database (OODB) systems are more suited to the needs of large astro
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Taghizadeh-Popp, M. "CfunBASE: A Cosmological Functions Library for Astronomical Databases." Publications of the Astronomical Society of the Pacific 122, no. 894 (2010): 976–89. http://dx.doi.org/10.1086/655666.

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Egret, D. "Databases and on-line astronomical data: A review." Vistas in Astronomy 39 (January 1995): 268. http://dx.doi.org/10.1016/0083-6656(95)91017-b.

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Norris, Raymond P. "DIVISION XII / COMMISSION 5 / WORKING GROUP ASTRONOMICAL DATA." Proceedings of the International Astronomical Union 4, T27A (2008): 361–62. http://dx.doi.org/10.1017/s1743921308025878.

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Astronomers are well aware of the changing nature, volume, and complexity of astronomical data. Most of us are aware that next generation instruments, with Terabyte databases, are going to present enormous challenges to the way that we process data, and our current ways of managing astronomical databases will probably no longer work. So there are a number of initiatives within the astronomical community, most notably the Virtual Observatory, which aim to address these. However, many astronomers are not aware that similar challenges are being met in other disciplines (e.g., geosciences, life sc
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Rey-Watson, Joyce. "Online Bibliographic Resources in Astronomy and Astrophysics." International Astronomical Union Colloquium 110 (1989): 84–86. http://dx.doi.org/10.1017/s0252921100003006.

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Online searches may be performed in astronomy and astrophysics either by OBJECT or by SUBJECT. Until recently, although object searches could be performed on a variety of databases in the physical sciences, results were poor and incomplete. Only if an object were mentioned by name in the title or abstract could one hope for any hits at all. The greatest blessing to befall the astronomical community was the advent of SIMBAD (Sets of Identifications, Measurements and Bibliography for Astronomical Data), a database in which searches are conducted by OBJECT only. It is produced and accessible from
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Jankovics, I., J. Horvath, and I. J. Vincze. "Astronomical databases in the XVII–XVIII centuries: Old astronomical books in the library of Gothard Observatory." Vistas in Astronomy 39 (January 1995): 270. http://dx.doi.org/10.1016/0083-6656(95)91025-c.

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Du, Changde, Ali Luo, Haifeng Yang, Wen Hou, and Yanxin Guo. "An Efficient Method for Rare Spectra Retrieval in Astronomical Databases." Publications of the Astronomical Society of the Pacific 128, no. 961 (2016): 034502. http://dx.doi.org/10.1088/1538-3873/128/961/034502.

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Gargano, Mauro, Antonella Gasperini, Luisa Schiavone, and Francesca Brunetti. "Polvere di stelle The Italian platform for data-sharing and data-preserving of modern and ancient astronomical resources." EPJ Web of Conferences 186 (2018): 07002. http://dx.doi.org/10.1051/epjconf/201818607002.

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Polvere di stelle (Stardust) is the web portal of the National Institute for Astrophysics(INAF) dedicated to the Italian astronomical libraries, archives and museums. It offers different tools and databases created to support astronomical research and increase the value of one of the richest astronomical heritages in the world. In a single virtual space one can find useful tools for sharing digital resources and other services for current research. Besides the OPAC, consisting of bibliographic data of ancientand modern books and serials, the portal offers to astronomers, scholars, students, am
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Dissertations / Theses on the topic "Astronomical Databases"

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Mesmoudi, Amin. "Declarative parallel query processing on large scale astronomical databases." Thesis, Lyon 1, 2015. http://www.theses.fr/2015LYO10326.

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Les travaux de cette thèse s'inscrivent dans le cadre du projet Petasky. Notre objectif est de proposer des outils permettant de gérer des dizaines de Peta-octets de données issues d'observations astronomiques. Nos travaux se focalisent essentiellement sur la conception des nouveaux systèmes permettant de garantir le passage à l'échelle. Dans cette thèse, nos contributions concernent trois aspects : Benchmarking des systèmes existants, conception d'un nouveau système et optimisation du système. Nous avons commencé par analyser la capacité des systèmes fondés sur le modèle MapReduce et supporta
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Kjellqvist, Jimmy. "Examining variable galactic nuclei with the help of astronomical databases and archives." Thesis, Uppsala universitet, Teoretisk astrofysik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-389348.

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There exists many astronomical objects that vary in brightness. Objects such as variable stars like the Cepheids that periodically expands and contracts their outer layers, or the active galactic nuclei (AGN) where accretion of matter into a black hole generates a often varying brightness. Several candidates for being such variable objects have been identified as a result of the Vanishing and Appearing Stuff during a Century of Observations (VASCO) project. These candidates were then narrowed down to a handful that showed variability towards the infrared part of the spectrum. This bachelor’s t
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Brahem, Mariem. "Optimisation de requêtes spatiales et serveur de données distribué - Application à la gestion de masses de données en astronomie." Thesis, Université Paris-Saclay (ComUE), 2019. http://www.theses.fr/2019SACLV009/document.

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Les masses de données scientifiques générées par les moyens d'observation modernes, dont l’observation spatiale, soulèvent des problèmes de performances récurrents, et ce malgré les avancées des systèmes distribués de gestion de données. Ceci est souvent lié à la complexité des systèmes et des paramètres qui impactent les performances et la difficulté d’adapter les méthodes d’accès au flot de données et de traitement.Cette thèse propose de nouvelles techniques d'optimisations logiques et physiques pour optimiser les plans d'exécution des requêtes astronomiques en utilisant des règles d'optimis
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Marchiori, Victor. "Extraction photométrique bord des étoiles de la mission PLATO : masques photométriques optimaux pour la détection de planètes extra-solaires In-flight photometry extraction of PLATO targets Optimal apertures for detecting extrasolar planets The PLATO Solar-like Light-curve Simulator A tool to generate realistic stellar light-curves with instrumental effects representative of the PLATO mission." Thesis, Paris Sciences et Lettres (ComUE), 2019. http://www.theses.fr/2019PSLEO014.

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PLAnetary Transits and Oscillations of stars (PLATO) est une mission scientifique spatiale européenne dédiée à la sismologie stellaire et à la recherche d’exoplanètes, et dont le développement est coordonné par l’Agence Spatiale Européenne. Avec un intérêt majeur sur des planètes du type terrestre située dans la zone habitable des étoiles du type solaire de la séquence principale, cette mission repose sur de la photométrie de très haute précision et exige une très grande stabilité des mesures. Elle s’appuie sur des techniques bien éprouvées : la méthode de transits pour la détection des planèt
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Denis, Jean Marc. "Characterization of online archives of astronomical imaging vis-a-vis serendipitous asteroids, and their astrometric properties." Master's thesis, University of Central Florida, 2012. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/5186.

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The identification of known asteroids on existing CCD pictures would allow us to obtain accurate astrometric and photometric asteroid properties. Some asteroids might have ambiguous orbital elements, thus their identification along with their exact positions on multiple picture frames could significantly improve their orbital elements. Furthermore, the possibility of identifying known asteroids on older pictures, sometimes preceding their discovery date, might allow the study of non-gravitational effects like the Yarkovsky effect. Identifying a potential Yarkovsky effect on asteroids is cha
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Books on the topic "Astronomical Databases"

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W, Argyle Robert, Bunclark Peter S, and Lewis James R. 1959-, eds. Astronomical Data and Analysis Software and Systems XVII. Astronomical Society of the Pacific, 2008.

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Astronomical Data Analysis Software and Systems (13th 2003 Strasbourg, France). Astronomical data analysis software and systems XIII: Proceedings of a meeting held at Strasbourg, France, 12-15 October 2003. Astronomical Society of the Pacific, 2004.

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Edward, Payne Harry, Jedrzejewski Robert I, and Hook Richard N, eds. Astronomical data analysis software and systems XII: Proceedings of a meeting held at Baltimore, Maryland, USA, 13-16 October 2002. Astronomical Society of the Pacific, 2003.

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Astronomical Data Analysis Software and Systems (5th 1995 Tucson, Ariz.). Astronomical data analysis software and systems V: Meeting held at Tucson, Arizona, 23-25 October 1995. Astronomical Society of the Pacific, 1996.

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Astronomical Data Analysis Software and Systems (7th 1997 Sonthofen, Germany). Astronomical data analysis software and systems VII: Proceedings from a meeting held in Sonthofen, Germany, 14-17 September 1997. Astronomical Society of the Pacific, 1998.

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Astronomical Data Analysis Software and Systems (8th 1998 Urbana, Illinois). Astronomical data analysis software and systems VIII: Proceedings of a meeting held at Urbana, Illinois, USA, 1-4 November, 1998. Astronomical Society of the Pacific, 1999.

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1945-, Harnden F. R., Payne Harry Edward, and Primini Francis A, eds. Astronomical data analysis software and systems X: Proceedings of a meeting held at Boston, Massachusetts, U.S.A., 12-15 November 2000. Astronomical Society of the Pacific, 2001.

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1959-, Bohlender David A., Durand Daniel, and Handley T. H, eds. Astronomical Data Analysis Software and Systems XI: Proceedings of a meeting held at Victoria, British Columbia, Canada, 30 September-3 October 2001. Astronomical Society of the Pacific, 2002.

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Astronomical, Data Analysis Software and Systems (6th 1996 Charlottesville Va ). Astronomical data analysis software and systems VI: Meeting held at Charlottesville, Virginia, 22-25 September 1996. Astronomical Society of the Pacific, 1997.

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L, Shopbell Patrick, Britton Matthew C, and Ebert Rick, eds. Astronomical data analysis software and systems XIV: Proceedings of a meeting held in Pasadena, California, USA, 24-27 October 2004. Astronomical Society of the Pacific, 2005.

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Book chapters on the topic "Astronomical Databases"

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Humphreys, Roberta M., Juan E. Cabanela, and Jeffrey Kriessler. "Mining Astronomical Databases." In Data Mining for Scientific and Engineering Applications. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1733-7_5.

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Heck, André. "Astronomical Directories." In Databases & On-line Data in Astronomy. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3250-3_22.

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Heck, André. "Astronomical Databases: A User Approach." In Data Analysis in Astronomy IV. Springer US, 1992. http://dx.doi.org/10.1007/978-1-4615-3388-7_3.

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Watson, Joyce M. "Astronomical bibliography from commercial databases." In Databases & On-line Data in Astronomy. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3250-3_21.

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Egret, Daniel, Marc Wenger, and Pascal Dubois. "The SIMBAD astronomical database." In Databases & On-line Data in Astronomy. Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3250-3_9.

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Murtagh, Fionn. "Multivariate Analysis and Classification of Large Astronomical Databases." In Statistical Challenges in Modern Astronomy. Springer New York, 1992. http://dx.doi.org/10.1007/978-1-4613-9290-3_52.

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Pantazis, George. "Preserving Monuments’ Astronomical Orientation by Using Different Databases." In Progress in Cultural Heritage Preservation. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-34234-9_74.

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Wu, Yilang, and Wanming Chu. "Query Languages for Domain Specific Information from PTF Astronomical Repository." In Databases in Networked Information Systems. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16313-0_18.

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Brahem, Mariem, Karine Zeitouni, and Laurent Yeh. "HX-MATCH: In-Memory Cross-Matching Algorithm for Astronomical Big Data." In Advances in Spatial and Temporal Databases. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64367-0_26.

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Malanchev, Konstantin, Vladimir Korolev, Matwey Kornilov, et al. "Realization of Different Techniques for Anomaly Detection in Astronomical Databases." In Communications in Computer and Information Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51913-1_7.

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Conference papers on the topic "Astronomical Databases"

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Vera, I., A. Dobrzycki, A. M. Chavan, P. Nass, and J. S. Lockhart. "ESO scalable architecture for operational databases." In SPIE Astronomical Telescopes + Instrumentation, edited by Roger J. Brissenden and David R. Silva. SPIE, 2008. http://dx.doi.org/10.1117/12.787587.

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Longo, Giuseppe, Ciro Donalek, Giancarlo Raiconi, et al. "Data mining of large astronomical databases with neural tools." In Astronomical Telescopes and Instrumentation. SPIE, 2002. http://dx.doi.org/10.1117/12.461147.

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Longo, Giuseppe, Roberto Tagliaferri, Salvatore Sessa, et al. "Advanced data mining tools for exploring large astronomical databases." In International Symposium on Optical Science and Technology, edited by Jean-Luc Starck and Fionn D. Murtagh. SPIE, 2001. http://dx.doi.org/10.1117/12.447191.

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WILLIAMS, C. K. I., A. J. STORKEY, N. C. HAMBLY, and R. G. MANN. "CLEANING ASTRONOMICAL DATABASES USING HOUGH TRANSFORMS AND RENEWAL STRINGS." In Proceedings of the Sixth International Workshop. WORLD SCIENTIFIC, 2004. http://dx.doi.org/10.1142/9789812702593_0047.

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Garcia-Lorenzo, Begona M., Jesus J. Fuensalida, Esteban G. Mendizabal, Casiana Munoz-Tunon, and Antonia M. Varela. "Climatological databases as a tool for the ELT site selection." In SPIE Astronomical Telescopes + Instrumentation, edited by Jacobus M. Oschmann, Jr. SPIE, 2004. http://dx.doi.org/10.1117/12.553775.

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Allan, A., A. Adamson, B. Cavanagh, et al. "What do telescopes, databases and compute clusters have in common?" In SPIE Astronomical Telescopes + Instrumentation, edited by Hilton Lewis and Alan Bridger. SPIE, 2006. http://dx.doi.org/10.1117/12.671360.

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Pastore, S., A. Volpato, A. Baruffolo, et al. "Enabling Access to Astronomical Databases through the Grid: a Case Study." In ADA-III - Astronomical Data Analysis III Conference. BCS Learning & Development, 2004. http://dx.doi.org/10.14236/ewic/ada-iii2004.6.

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Mickaelian, Areg P. "Using large surveys, multiwavelength catalogs, and databases for new discoveries." In Accelerating the Rate of Astronomical Discovery. Sissa Medialab, 2010. http://dx.doi.org/10.22323/1.099.0030.

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Cawson, M. G, M., J. T. McGraw, and M. J. Keane. "A Relational Database Approach To Astronomical Research." In 1986 Astronomy Conferences, edited by David L. Crawford. SPIE, 1986. http://dx.doi.org/10.1117/12.968074.

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Wasiewicz, P., K. Hryniewicz, and P. Gajewski. "Astronomical spectral database of active galactic nuclei." In Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2011, edited by Ryszard S. Romaniuk. SPIE, 2011. http://dx.doi.org/10.1117/12.905591.

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Reports on the topic "Astronomical Databases"

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Torres, Marissa, and Norberto Nadal-Caraballo. Rapid tidal reconstruction with UTide and the ADCIRC tidal database. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41503.

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The quantification of storm surge is vital for flood hazard assessment in communities affected by coastal storms. The astronomical tide is an integral component of the total still water level needed for accurate storm surge estimates. Coastal hazard analysis methods, such as the Coastal Hazards System and the StormSim Coastal Hazards Rapid Prediction System, require thousands of hydrodynamic and wave simulations that are computationally expensive. In some regions, the inclusion of astronomical tides is neglected in the hydrodynamics and tides are instead incorporated within the probabilistic f
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