9 results on '"Astronomical catalogues"'
Search Results
2. The Photometric Classification Server of PanSTARRS1.
- Author
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Saglia, R. P.
- Subjects
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TELESCOPES , *PHOTOMETRY , *GALAXIES , *QUASARS , *ASTROPHYSICS - Abstract
The Panoramic Survey Telescope and Rapid Response System 1 (PanSTARRS1) project is on his way to start science operations early 2009. In the next 3.5 years it will produce a grizy survey of 3/4 of the sky, 2 mag deeper than Sloan. The Photometric Classification Server is responsibile for the object classification as star, galaxy or quasar, based on multiband photometry. Accordingly, it t should also deliver accurate and timely stellar parameters or photometric redshifts. Several science projects rely on the output of the server, from transit planet search, to transient detections, the structure of the Milky Way, high redshift Quasars, galaxy evolution, cosmological shear, baryonic oscillations and galaxy cluster searches. [ABSTRACT FROM AUTHOR]
- Published
- 2008
- Full Text
- View/download PDF
3. A Comprehensive Approach to γ-ray Source Identification in the GLAST-LAT Era.
- Author
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Caraveo, Patrizia A. and Reimer, Olaf
- Subjects
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DARK matter , *GAMMA rays , *SUPERSYMMETRY , *ANNIHILATION reactions , *PHYSICS research - Abstract
Unidentified objects dominate current catalogues of high-energy (MeV-to-GeV) sources. Solving the mystery of such unidentified γ-ray sources is a major challenge for astronomy. Different approaches towards source identification have been tried in the past, with limited success. The wealth of gamma-ray sources expected in the near future calls for a novel approach. © 2007 American Institute of Physics [ABSTRACT FROM AUTHOR]
- Published
- 2007
- Full Text
- View/download PDF
4. k-Nearest Neighbors for automated classification of celestial objects.
- Author
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Li, LiLi, Zhang, YanXia, and Zhao, YongHeng
- Abstract
The nearest neighbors (NNs) classifiers, especially the k-Nearest Neighbors ( kNNs) algorithm, are among the simplest and yet most efficient classification rules and widely used in practice. It is a nonparametric method of pattern recognition. In this paper, k-Nearest Neighbors, one of the most commonly used machine learning methods, work in automatic classification of multi-wavelength astronomical objects. Through the experiment, we conclude that the running speed of the kNN classier is rather fast and the classification accuracy is up to 97.73%. As a result, it is efficient and applicable to discriminate active objects from stars and normal galaxies with this method. The classifiers trained by the kNN method can be used to solve the automated classification problem faced by astronomy and the virtual observatory (VO). [ABSTRACT FROM AUTHOR]
- Published
- 2008
- Full Text
- View/download PDF
5. GENERAL CATALOGUE OF VARIABLE STARS
- Author
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Samus, N. N., Kazarovets, E. V., and Durlevich, O. V.
- Subjects
lcsh:QB1-991 ,lcsh:Astronomy ,Stars ,variable ,astronomical catalogues - Abstract
The General Catalogue of Variable Stars (GCVS) is a large-scale project undertaken in Moscow since 1946 on behalf of the IAU. After a brief outline of its history, we discuss current problems of variable star catalogues and present our plans for the nearest future, including determination of accurate coordinates for all GCVS stars, new Name-lists, improvements of the classification scheme, etc.
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- 2017
6. Musical composition with naked eye and binocular astronomy
- Author
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ACMA, Fraietta, A, ACMA, and Fraietta, A
- Abstract
Multimedia compositions that are inspired by outer space usually display and manipulate photographs from telescopes or utilise fractal images or animations. The performer or listener in these cases does not look into space with their own eyes. This paper describes the progress of a musical interface and compositional paradigms that correlate musical performance with naked eye and binocular astronomy, allowing the performer or listener to manipulate the music based on what is being observed in the night sky in real-time.
- Published
- 2014
7. Cosmological Simulations on a Grid of Computers
- Author
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Benjamin Depardon, Eddy Caron, Frédéric Desprez, Jérémy Blaizot, Hélène Courtois, Jean-Michel Alimi, André Fuözfa, Laboratoire de l'Informatique du Parallélisme (LIP), École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS), Algorithms and Scheduling for Distributed Heterogeneous Platforms (GRAAL), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-Laboratoire de l'Informatique du Parallélisme (LIP), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure - Lyon (ENS Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Cosmologie Observationnelle, Institut de Physique Nucléaire de Lyon (IPNL), Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3), Centre de Recherche Astrophysique de Lyon (CRAL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut national des sciences de l'Univers (INSU - CNRS), Inria, Grid'5000, ANR-05-CIGC-0011,LEGO,League for Efficient Grid Operations(2005), École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-Centre National de la Recherche Scientifique (CNRS)-École normale supérieure de Lyon (ENS de Lyon)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National de la Recherche Scientifique (CNRS), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de l'Informatique du Parallélisme ( LIP ), École normale supérieure - Lyon ( ENS Lyon ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique ( Inria ) -Centre National de la Recherche Scientifique ( CNRS ), Algorithms and Scheduling for Distributed Heterogeneous Platforms ( GRAAL ), Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Laboratoire de l'Informatique du Parallélisme ( LIP ), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique ( Inria ) -Centre National de la Recherche Scientifique ( CNRS ) -École normale supérieure - Lyon ( ENS Lyon ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), Institut de Physique Nucléaire de Lyon ( IPNL ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), Centre de Recherche Astrophysique de Lyon ( CRAL ), Université de Lyon-Université de Lyon-Institut national des sciences de l'Univers ( INSU - CNRS ) -Centre National de la Recherche Scientifique ( CNRS ), and ANR-05-CIGC-0011,LEGO,League for Efficient Grid Operations ( 2005 )
- Subjects
FOS: Computer and information sciences ,Parallel computing ,Cosmology and Nongalactic Astrophysics (astro-ph.CO) ,Computer science ,[SDU.ASTR.CO]Sciences of the Universe [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO] ,Computation ,Distributed computing ,FOS: Physical sciences ,Grid-RPC ,02 engineering and technology ,Sky surveys ,01 natural sciences ,Execution time ,Scheduling (computing) ,[PHYS.ASTR.CO]Physics [physics]/Astrophysics [astro-ph]/Cosmology and Extra-Galactic Astrophysics [astro-ph.CO] ,Databases ,[ INFO.INFO-DC ] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC] ,Data acquisition ,Universe ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,N-body simulations ,Instrumentation and Methods for Astrophysics (astro-ph.IM) ,010303 astronomy & astrophysics ,Local uni- verse ,Middleware ,020203 distributed computing ,Grid middleware ,Archives ,Atlases ,Astronomical catalogues ,Grid ,Cosmology ,Astronomical catalogs ,Retrieval systems ,Computer Science - Distributed, Parallel, and Cluster Computing ,Distributed, Parallel, and Cluster Computing (cs.DC) ,Origin and formation of the Universe ,Particle-theory and field-theory models of the early Universe ,[INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC] ,Astrophysics - Instrumentation and Methods for Astrophysics ,Data acquisition: hardware and software ,Astrophysics - Cosmology and Nongalactic Astrophysics - Abstract
The work presented in this paper aims at restricting the input parameter values of the semi-analytical model used in GALICS and MOMAF, so as to derive which parameters influence the most the results, e.g., star formation, feedback and halo recycling efficiencies, etc. Our approach is to proceed empirically: we run lots of simulations and derive the correct ranges of values. The computation time needed is so large, that we need to run on a grid of computers. Hence, we model GALICS and MOMAF execution time and output files size, and run the simulation using a grid middleware: DIET. All the complexity of accessing resources, scheduling simulations and managing data is harnessed by DIET and hidden behind a web portal accessible to the users., Accepted and Published in AIP Conference Proceedings 1241, 2010, pages 816-825
- Published
- 2010
8. Extragalactic Large-Scale Structures behind the Southern Milky Way. IV. Redshifts Obtained with MEFOS
- Author
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P. Felenbok, C. Balkowski, Renee C. Kraan-Korteweg, Patrick A. Woudt, V. Cayatte, Department of Astronomy, and Faculty of Science
- Subjects
Milky Way ,FOS: Physical sciences ,Context (language use) ,Astrophysics ,Astrophysics::Cosmology and Extragalactic Astrophysics ,Large-scale structure ,Great Attractor ,surveys ,Catalogue astronomique ,Astrophysics::Solar and Stellar Astrophysics ,Astrophysics::Galaxy Astrophysics ,Physics ,Distance ,Astrophysics (astro-ph) ,Astrophysics::Instrumentation and Methods for Astrophysics ,Zone of Avoidance ,Astronomy and Astrophysics ,Astronomical catalogues ,Galaxies ,Redshift survey ,clusters: individual: ACO 3627 ,Galaxy ,Redshift ,Red shift ,Distances ,Structure grande échelle ,Stars ,Space and Planetary Science ,Déplacement vers le rouge ,large-scale structure of Universe ,Astrophysics::Earth and Planetary Astrophysics ,galaxies: distances and redshifts ,catalogs ,ISM: dust, extinction - Abstract
Abbreviated: As part of our efforts to unveil extragalactic large-scale structures behind the southern Milky Way, we here present redshifts for 764 galaxies in the Hydra/Antlia, Crux and Great Attractor region (266deg < l < 338deg, |b| < 10deg), obtained with the Meudon-ESO Fibre Object Spectrograph (MEFOS) at the 3.6-m telescope of ESO. The observations are part of a redshift survey of partially obscured galaxies recorded in the course of a deep optical galaxy search behind the southern Milky Way. A total of 947 galaxies have been observed, a small percentage of the spectra (N=109, 11.5%) were contaminated by foreground stars, and 74 galaxies (7.8%) were too faint to allow a reliable redshift determination. With MEFOS we obtained spectra down to the faintest galaxies of our optical galaxy survey, and hence probe large-scale structures out to larger distances (v, Comment: 11 pages, 7 figures; accepted for publication in A&A. Tables 1 and 2 will be available in electronic format at the CDS. Figure 1 at full resolution, and both tables are available at http://mensa.ast.uct.ac.za/~pwoudt/data/H4462/)
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- 2003
- Full Text
- View/download PDF
9. High sensitivity all sky X-ray monitor and survey with MAXI
- Author
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Naoki Isobe, Motoki Nakajima, Kazutaka Yamaoka, H. Negoro, S. Ueno, A. Yoshida, Masaru Matsuoka, M. Suzuki, T. Mihara, Nobuyuki Kawai, H. Tomida, Jun Kataoka, Emi Miyata, Mikio Morii, Mitsuhiro Kohama, and Hiroshi Tsunemi
- Subjects
Physics ,X-ray detection ,Active galactic nucleus ,media_common.quotation_subject ,Astronomy ,Astrophysics ,Photon emission ,astronomical atlases ,Sky ,International Space Station ,astronomical catalogues ,X-ray sources (astronomical) ,Sensitivity (electronics) ,media_common - Abstract
MAXI is an all sky X‐ray monitor to be mounted on the Japanese Experimental Module in the International Space Station (ISS). It scans almost all over the sky every 96 minutes, in the course of the orbital motion of the ISS. MAXI is designed to have a sensitivity, significantly higher than the previous X‐ray monitors, and then, to detect X‐ray sources as faint as 1 mCrab in a week observation. Therefore, MAXI is expected to create a novel catalogue of not only the stable X‐ray sources but also the highly variable ones in the sky, especially active galactic nuclei for the first time. If MAXI detects X‐ray phenomena, alerts will be quickly made through the Internet.
- Published
- 2007
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