Space Object Ontology
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Chapter 3: Familiarizing Yourself with the Night Sky
Chapter 3: Familiarizing Yourself With the Night Sky Introduction People of ancient cultures viewed the sky as the inaccessible home of the gods. They observed the daily motion of the stars, and grouped them into patterns and images. They assigned stories to the stars, relating to themselves and their gods. They believed that human events and cycles were part of larger cosmic events and cycles. The night sky was part of the cycle. The steady progression of star patterns across the sky was related to the ebb and flow of the seasons, the cyclical migration of herds and hibernation of bears, the correct times to plant or harvest crops. Everywhere on Earth people watched and recorded this orderly and majestic celestial procession with writings and paintings, rock art, and rock and stone monuments or alignments. When the Great Pyramid in Egypt was constructed around 2650 BC, two shafts were built into it at an angle, running from the outside into the interior of the pyramid. The shafts coincide with the North-South passage of two stars important to the Egyptians: Thuban, the star closest to the North Pole at that time, and one of the stars of Orion’s belt. Orion was The Ishango Bone, thought to be a 20,000 year old associated with Osiris, one of the Egyptian gods of the lunar calendar underworld. The Bighorn Medicine Wheel in Wyoming, built by Plains Indians, consists of rocks in the shape of a large circle, with lines radiating from a central hub like the spokes of a bicycle wheel. -
Messier Objects
Messier Objects From the Stocker Astroscience Center at Florida International University Miami Florida The Messier Project Main contributors: • Daniel Puentes • Steven Revesz • Bobby Martinez Charles Messier • Gabriel Salazar • Riya Gandhi • Dr. James Webb – Director, Stocker Astroscience center • All images reduced and combined using MIRA image processing software. (Mirametrics) What are Messier Objects? • Messier objects are a list of astronomical sources compiled by Charles Messier, an 18th and early 19th century astronomer. He created a list of distracting objects to avoid while comet hunting. This list now contains over 110 objects, many of which are the most famous astronomical bodies known. The list contains planetary nebula, star clusters, and other galaxies. - Bobby Martinez The Telescope The telescope used to take these images is an Astronomical Consultants and Equipment (ACE) 24- inch (0.61-meter) Ritchey-Chretien reflecting telescope. It has a focal ratio of F6.2 and is supported on a structure independent of the building that houses it. It is equipped with a Finger Lakes 1kx1k CCD camera cooled to -30o C at the Cassegrain focus. It is equipped with dual filter wheels, the first containing UBVRI scientific filters and the second RGBL color filters. Messier 1 Found 6,500 light years away in the constellation of Taurus, the Crab Nebula (known as M1) is a supernova remnant. The original supernova that formed the crab nebula was observed by Chinese, Japanese and Arab astronomers in 1054 AD as an incredibly bright “Guest star” which was visible for over twenty-two months. The supernova that produced the Crab Nebula is thought to have been an evolved star roughly ten times more massive than the Sun. -
Scientific Data Mining in Astronomy
SCIENTIFIC DATA MINING IN ASTRONOMY Kirk D. Borne Department of Computational and Data Sciences, George Mason University, Fairfax, VA 22030, USA [email protected] Abstract We describe the application of data mining algorithms to research prob- lems in astronomy. We posit that data mining has always been fundamen- tal to astronomical research, since data mining is the basis of evidence- based discovery, including classification, clustering, and novelty discov- ery. These algorithms represent a major set of computational tools for discovery in large databases, which will be increasingly essential in the era of data-intensive astronomy. Historical examples of data mining in astronomy are reviewed, followed by a discussion of one of the largest data-producing projects anticipated for the coming decade: the Large Synoptic Survey Telescope (LSST). To facilitate data-driven discoveries in astronomy, we envision a new data-oriented research paradigm for astron- omy and astrophysics – astroinformatics. Astroinformatics is described as both a research approach and an educational imperative for modern data-intensive astronomy. An important application area for large time- domain sky surveys (such as LSST) is the rapid identification, charac- terization, and classification of real-time sky events (including moving objects, photometrically variable objects, and the appearance of tran- sients). We describe one possible implementation of a classification broker for such events, which incorporates several astroinformatics techniques: user annotation, semantic tagging, metadata markup, heterogeneous data integration, and distributed data mining. Examples of these types of collaborative classification and discovery approaches within other science disciplines are presented. arXiv:0911.0505v1 [astro-ph.IM] 3 Nov 2009 1 Introduction It has been said that astronomers have been doing data mining for centuries: “the data are mine, and you cannot have them!”. -
A Bibliometric Perspective Survey of Astronomical Object Tracking System
University of Nebraska - Lincoln DigitalCommons@University of Nebraska - Lincoln Library Philosophy and Practice (e-journal) Libraries at University of Nebraska-Lincoln 2-15-2021 A Bibliometric Perspective Survey of Astronomical Object Tracking System Mariyam Ashai Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, India, [email protected] Rhea Gautam Mukherjee Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, India, [email protected] Sanjana Mundharikar Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, India, [email protected] Vinayak Dev Kuanr Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, India, [email protected] Shivali Amit Wagle Symbiosis Institute of Technology (SIT), Symbiosis International (Deemed University), Pune, India, [email protected] See next page for additional authors Follow this and additional works at: https://digitalcommons.unl.edu/libphilprac Part of the Library and Information Science Commons, and the Other Aerospace Engineering Commons Ashai, Mariyam; Mukherjee, Rhea Gautam; Mundharikar, Sanjana; Kuanr, Vinayak Dev; Wagle, Shivali Amit; and R, Harikrishnan, "A Bibliometric Perspective Survey of Astronomical Object Tracking System" (2021). Library Philosophy and Practice (e-journal). 5151. https://digitalcommons.unl.edu/libphilprac/5151 Authors Mariyam Ashai, Rhea Gautam Mukherjee, Sanjana Mundharikar, -
Astroinformatics: Image Processing and Analysis of Digitized Astronomical Data with Web-Based Implementation
ASTROINFORMATICS: IMAGE PROCESSING AND ANALYSIS OF DIGITIZED ASTRONOMICAL DATA WITH WEB-BASED IMPLEMENTATION N. Kirov(1;2), O. Kounchev(2), M. Tsvetkov(3) (1)Computer Science Department, New Bulgarian University (2)Institute of Mathematics and Informatics, Bulgarian Academy of Sciences (3)Institute of Astronomy, Bulgarian Academy of Sciences [email protected], [email protected], [email protected] ABSTRACT The newly born area of Astroinformatics has arisen as an interdisciplinary domain from Astronomy and Information and Communication Technologies (ICT). Recently, four institutes of the Bulgarian Academy of Sciences launched a joint project called “Astroinformatics”. The main goal of the project is the development of methods and techniques for preservation and exploitation of the scientific, cultural and historic heritage of the astronomical observations. The Wide-Field Plate Data Base is an ICT project of the Institute of Astronomy, which has been launched in 1991, supported by International Astronomic Union [1]. Now over two million photographic plates, obtained with professional telescopes at 125 observatories worldwide, are identified and collected in this database. Digitization of photographic plates is an actual task for astronomical society. So far 150 000 plates have been digitized through several European research programs. As a result, a huge amount of data is collected (with about 2TB in size). The access, manipulation and data mining of this data is a serious challenge for the ICT community. In this article we discuss goals, tasks and achieve- ments in the area of Astroinformatics. 1 THE WIDE-FIELD PLATE DATA BASE The basic information for all wide-field (> 1o) photographic astronomical plate archives and for their content, stored in many observatories is collected in the Wide-Field Plate Database (WFPDB, skyarchive.org), established in 1991 and developed in the Institute of Astronomy, Bulgar- ian Academy of Sciences. -
Astro2020 State of the Profession Consideration White Paper
Astro2020 State of the Profession Consideration White Paper Realizing the potential of astrostatistics and astroinformatics September 27, 2019 Principal Author: Name: Gwendolyn Eadie4;5;6;15;17 Email: [email protected] Co-authors: Thomas Loredo1;19, Ashish A. Mahabal2;15;16;18, Aneta Siemiginowska3;15, Eric Feigelson7;15, Eric B. Ford7;15, S.G. Djorgovski2;20, Matthew Graham2;15;16, Zˇeljko Ivezic´6;16, Kirk Borne8;15, Jessi Cisewski-Kehe9;15;17, J. E. G. Peek10;11, Chad Schafer12;19, Padma A. Yanamandra-Fisher13;15, C. Alex Young14;15 1Cornell University, Cornell Center for Astrophysics and Planetary Science (CCAPS) & Department of Statistical Sciences, Ithaca, NY 14853, USA 2Division of Physics, Mathematics, & Astronomy, California Institute of Technology, Pasadena, CA 91125, USA 3Center for Astrophysics j Harvard & Smithsonian, Cambridge, MA 02138, USA 4eScience Institute, University of Washington, Seattle, WA 98195, USA 5DIRAC Institute, Department of Astronomy, University of Washington, Seattle, WA 98195, USA 6Department of Astronomy, University of Washington, Seattle, WA 98195, USA 7Penn State University, University Park, PA 16802, USA 8Booz Allen Hamilton, Annapolis Junction, MD, USA 9Department of Statistics & Data Science, Yale University, New Haven, CT 06511, USA 10Department of Physics & Astronomy, Johns Hopkins University, Baltimore, MD 21218, USA arXiv:1909.11714v1 [astro-ph.IM] 25 Sep 2019 11Space Telescope Science Institute, Baltimore, MD 21218, USA 12Department of Statistics & Data Science Carnegie Mellon University, Pittsburgh, -
Ontology Architectures for the Orbital Space Environment and Space Situational Awareness Domain
Ontology Architectures for the Orbital Space Environment and Space Situational Awareness Domain Robert John ROVETTOa,1 a University of Maryland, College Park Alumnus (2007), The State University of New York at Buffalo Alumnus (2011) American Public University System/AMU, space studies Abstract. This paper applies some ontology architectures to the space domain, specifically the orbital and near-earth space environment and the space situational awareness domain. I briefly summarize local, single and hybrid ontology architectures, and offer potential space ontology architectures for each by showing how actual space data sources and space organizations would be involved. Keywords. Ontology, formal ontology, ontology engineering, ontological architecture, space ontology, space environment ontology, space object ontology, space domain ontology, space situational awareness ontology, data-sharing, astroinformatics. 1. Introduction This paper applies some general ontology architectures to the space domain, specifically the orbital space environment and the space situational awareness (SSA) domain. As the number of artificial satellites in orbit increases, the potential for orbital debris and orbital collisions increases. This spotlights the need for more accurate and complete situational awareness of the space environment. This, in turn, requires gathering more data, sharing it, and analyzing it to generate knowledge that should be actionable in order to safeguard lives and infrastructure in space and on the surface of Earth. Toward this, ontologies may provide one avenue. This paper serves to introduce the space community to some ontology architecture options when considering computational ontology for their space data and space domain-modeling needs. I briefly summarize local, single and hybrid ontology architectures [1][2], and offer potential space domain architectures for each by showing how actual space data sources and space organizations would be involved. -
Appendix: Spectroscopy of Variable Stars
Appendix: Spectroscopy of Variable Stars As amateur astronomers gain ever-increasing access to professional tools, the science of spectroscopy of variable stars is now within reach of the experienced variable star observer. In this section we shall examine the basic tools used to perform spectroscopy and how to use the data collected in ways that augment our understanding of variable stars. Naturally, this section cannot cover every aspect of this vast subject, and we will concentrate just on the basics of this field so that the observer can come to grips with it. It will be noticed by experienced observers that variable stars often alter their spectral characteristics as they vary in light output. Cepheid variable stars can change from G types to F types during their periods of oscillation, and young variables can change from A to B types or vice versa. Spec troscopy enables observers to monitor these changes if their instrumentation is sensitive enough. However, this is not an easy field of study. It requires patience and dedication and access to resources that most amateurs do not possess. Nevertheless, it is an emerging field, and should the reader wish to get involved with this type of observation know that there are some excellent guides to variable star spectroscopy via the BAA and the AAVSO. Some of the workshops run by Robin Leadbeater of the BAA Variable Star section and others such as Christian Buil are a very good introduction to the field. © Springer Nature Switzerland AG 2018 M. Griffiths, Observer’s Guide to Variable Stars, The Patrick Moore 291 Practical Astronomy Series, https://doi.org/10.1007/978-3-030-00904-5 292 Appendix: Spectroscopy of Variable Stars Spectra, Spectroscopes and Image Acquisition What are spectra, and how are they observed? The spectra we see from stars is the result of the complete output in visible light of the star (in simple terms). -
1 Overview of the Solar System 2 Astronomical Coordinate Systems
General Astronomy (29:61) Fall 2013 Lecture 1 Notes , August 26, 2013 1 Overview of the Solar System The scale of the Solar System The astronomical unit AU is the average distance between the Earth and the Sun, and is 1:496 × 1011 meters, = 1:496 × 108 kilometers. Instead of the term average distance between a planet and the Sun, we will use (an apparently hopelessly more complicated) term semimajor axis of the orbit of a planet. The reason for this choice will become clear later. The two concepts are equivalent. 2 Astronomical Coordinate Systems Astronomical coordinate systems allow us to express, in numbers, one of the most basic things about an astronomical object: where it is. We will start with two of the main coordinates systems. 1. the Horizon Coordinate System, fixed with respect to you. 2. the Equatorial Coordinate System, fixed with respect to the stars. Think of the sky as a big hemisphere over us at a given time. The full interior of this imaginary sphere is called the celestial sphere. 2.1 The Horizon Coordinate System We use two angles to specify the location of an astronomical object, the azimuth angle and the altitude angle. Look at Figure 1.3 for a definition of these angles. An important concept in the horizon coordinate system is the meridian . It is an imaginary line on the sky starting due north, going through the zenith, and ending up due south. The meridian divides the sky into two halves. An astronomical object transits when it moves through the meridian from east to west. -
Why Pluto Is Not a Planet Anymore Or How Astronomical Objects Get Named
3 Why Pluto Is Not a Planet Anymore or How Astronomical Objects Get Named Sethanne Howard USNO retired Abstract Everywhere I go people ask me why Pluto was kicked out of the Solar System. Poor Pluto, 76 years a planet and then summarily dismissed. The answer is not too complicated. It starts with the question how are astronomical objects named or classified; asks who is responsible for this; and ends with international treaties. Ultimately we learn that it makes sense to demote Pluto. Catalogs and Names WHO IS RESPONSIBLE for naming and classifying astronomical objects? The answer varies slightly with the object, and history plays an important part. Let us start with the stars. Most of the bright stars visible to the naked eye were named centuries ago. They generally have kept their old- fashioned names. Betelgeuse is just such an example. It is the eighth brightest star in the northern sky. The star’s name is thought to be derived ,”Yad al-Jauzā' meaning “the Hand of al-Jauzā يد الجوزاء from the Arabic i.e., Orion, with mistransliteration into Medieval Latin leading to the first character y being misread as a b. Betelgeuse is its historical name. The star is also known by its Bayer designation − ∝ Orionis. A Bayeri designation is a stellar designation in which a specific star is identified by a Greek letter followed by the genitive form of its parent constellation’s Latin name. The original list of Bayer designations contained 1,564 stars. The Bayer designation typically assigns the letter alpha to the brightest star in the constellation and moves through the Greek alphabet, with each letter representing the next fainter star. -
THE MAGELLANIC CLOUDS NEWSLETTER an Electronic Publication Dedicated to the Magellanic Clouds, and Astrophysical Phenomena Therein
THE MAGELLANIC CLOUDS NEWSLETTER An electronic publication dedicated to the Magellanic Clouds, and astrophysical phenomena therein No. 131 — 1 October 2014 http://www.astro.keele.ac.uk/MCnews Editor: Jacco van Loon Editorial Dear Colleagues, It is my pleasure to present you the 131st issue of the Magellanic Clouds Newsletter. Enjoy! Want your results on the front cover of the newsletter? Just send a picture (preferably postscript format) and brief description to [email protected]. The next issue is planned to be distributed on the 1st of December. Editorially Yours, Jacco van Loon 1 Refereed Journal Papers OGLE-LMC-ECL-11893: The discovery of a long-period eclipsing binary with a circumstellar disk Subo Dong1, Boaz Katz2,11, Jos´eL. Prieto3,12, Andrzej Udalski4,13, Szymon KozÃlowski4,13, R.A. Street5,14, D.M. Bramich6,14, Y. Tsapras5,7,14, M. Hundertmark8,14, C. Snodgrass9,14, K. Horne8,14, M. Dominik8,14,15 and R. Figuera Jaimes8,10,14 1Kavli Institute for Astronomy and Astrophysics, Peking University, China 2Institute for Advanced Study, USA 3Department of Astrophysical Sciences, Princeton University, USA 4Warsaw University Observatory, Poland 5Las Cumbres Observatory Global Telescope Network, USA 6Qatar Environment and Energy Research Institute, Qatar Foundation, Qatar 7School of Physics and Astronomy, Queen Mary University of London, UK 8SUPA, School of Physics and Astronomy, University of St. Andrews, UK 9Max Planck Institute for Solar System Research, Germany 10European Southern Observatory, Germany 11John N. Bahcall Fellow 12Carnegie–Princeton Fellow 13The OGLE Collaboration 14The RoboNet Collaboration 15Royal Society University Research Fellow We report the serendipitous discovery of a disk-eclipse system OGLE-LMC-ECL-11893. -
Astroinformatics Projects
Astroinformatics Projects Downloaded from https://www.cambridge.org/core. IP address: 170.106.33.19, on 03 Oct 2021 at 02:03:31, subject to the Cambridge Core terms of use, available at https://www.cambridge.org/core/terms. https://doi.org/10.1017/S1743921317003453 Astroinformatics Proceedings IAU Symposium No. 325, 2016 M. Brescia, S.G. Djorgovski, E. Feigelson, c International Astronomical Union 2017 G. Longo & S. Cavuoti, eds. doi:10.1017/S1743921317003453 The changing landscape of astrostatistics and astroinformatics Eric D. Feigelson Center for Astrostatistics and Department of Astronomy and Astrophysics, Pennsylvania State University, University Park PA 16802 USA email: [email protected] Abstract. The history and current status of the cross-disciplinary fields of astrostatistics and astroinformatics are reviewed. Astronomers need a wide range of statistical methods for both data reduction and science analysis. With the proliferation of high-throughput telescopes, ef- ficient large scale computational methods are also becoming essential. However, astronomers receive only weak training in these fields during their formal education. Interest in the fields is rapidly growing with conferences organized by scholarly societies, textbooks and tutorial work- shops, and research studies pushing the frontiers of methodology. R, the premier language of statistical computing, can provide an important software environment for the incorpo- ration of advanced statistical and computational methodology into the astronomical community. Keywords. data analysis, cosmology, statistics, computer science, machine learning, high per- formance computing, education An aphorism . The scientist collects data in order to understand natural phenomena . The statistician helps the scientist acquire understanding from the data . The computer scientist helps the scientist perform the needed calculations (*) .