IVOA Small Projects Meeting Application to the science S. Honda, Y. Shirasaki, M. Tanaka and JVO team National Astronomical Observatory of Japan.

Slides:



Advertisements
Similar presentations
Trying to Use Databases for Science Jim Gray Microsoft Research
Advertisements

Registries Work Package 2 Requirements, Science Cases, Use Cases, Test Cases Charter: Focus on science case scenarios, and use cases related specifically.
A few notes on JVOQL François Ochsenbein. JVOQL: a few questions FROM clause: not clear how to specify the list e.g. FROM clause: not clear how to specify.
The NVO Data Discovery Portal Tom McGlynn NASA/GSFC.
TOPCAT & STILTS Primer Curso Práctico de la red Temática SVO Granada, de octubre de 2009 Francisco Jiménez Esteban Spanish Virtual Observatory LAEX-CAB.
Web Page Training Summer 2014 Presented by: Mountain Brook Schools Tech Team.
VO-DAS Chenzhou CUI Chao LIU, Haijun TIAN, Yang YANG, etc National Astronomical Observatories, CAS.
Development of China-VO ZHAO Yongheng NAOC, Beijing Nov
MAST-VizieR/NED cross correlation tutorial 1. Introduction Figure 1: Screenshot of the MAST VizieR Catalog Search Form. or enter here as object class:
Construction of the Japanese Virtual Observatory (JVO) Abstract : The National Astronomical Observatory of Japan (NAOJ) has been operating several large.
Introduction to Qualtrics for Online Surveys Claire Goverts; Office of Research Analysis, and Planning (RAP)
SXDS database and Japanese Virtual Observatory Yuji Shirasaki and JVO collaborations National Astronomical Observatory of Japan.
Comprehensive Large Array-data Stewardship System (CLASS) Web Site Tutorial Visit CLASS Site at
Astro 101 Slide Set: Multiple Views of an Extremely Distant Galaxy 0 Topic: Distant galaxies Concepts: Galaxy development, Gravitational lensing Missions:
Automated Classification of X-ray Sources R. J. Hanisch, A. A. Suchkov, R. L. White Space Telescope Science Institute T. A. McGlynn, E. L. Winter, M. F.
The Japanese Virtual Observatory (JVO) Yuji Shirasaki National Astronomical Observatory of Japan.
WaveMaker Visual AJAX Studio 4.0 Training Authentication.
The GAVO Cross-Matcher Application Hans-Martin Adorf, Gerard Lemson, Wolfgang Voges GAVO, Max-Planck-Institut für extraterrestrische Physik, Garching b.
Yuji SHIRASAKI National Astronomical Observatory of Japan Current Status of Japanese Virtual Observatory (JVO)
Exercise #5: Supervised Classification. Step 1. Delineating Training Sites and Generating Signatures An individual training site is delineated as an “area.
The Dark Side of the Universe What is dark matter? Who cares?
Functions and Demo of Astrogrid 1.1 China-VO Haijun Tian.
The ASDC SED Builder Milvia Capalbi (INAF-ASDC) in collaboration with Paolo Giommi (ASI-ASDC), Giulia Stratta (INAF-ASDC), Roberto Primavera (ElsagDatamat)
Virtual Observatory & LIGO Roy Williams California Institute of Technology.
VO Applications Enrique Solano LAEFF / INTA. Move from download to service paradigm Leave the data where it is. Operations on data (search, cluster analysis,
Prototype system of the Japanese Virtual Observatory The Japanese Virtual Observatory (JVO) aims at providing easy access to federated astronomical databases.
Knowledge Extraction from Scientific Data Roy Williams California Institute of Technology SDMIV 24 October 2002 Edinburgh KE ToolsS Data.
JVO JVO Portal Japanese Virtual Observatory (JVO) Prototype 2 Masahiro Tanaka, Yuji Shirasaki, Satoshi Honda, Yoshihiko Mizumoto, Masatoshi Ohishi (NAOJ),
May 10, 2006IVOA-GGF Astro-RG WS1 Welcome and Workshop Goal Masatoshi Ohishi / NAOJ & Sokendai Chairman, IVOA 大石雅寿 / 国立天文台 & 総合研究大学院大学
Theory in the Virtual Observatory Gerard Lemson, GAVO.
F. Genova, Berlin 7, Paris, 2 December 2009 The astronomical information network.
A Short Talk on… Gravitational Lensing Presented by: Anthony L, James J, and Vince V.
® Microsoft Office 2010 Access Tutorial 3 Maintaining and Querying a Database.
Database Design and Management CPTG /23/2015Chapter 12 of 38 Functions of a Database Store data Store data School: student records, class schedules,
P Structured Query Language for Virtual Observatory Yuji Shirasaki National Astronomical Observatory of Japan, and Masahiro Tanaka (NAOJ), Satoshi.
Exploring Dark Matter through Gravitational Lensing Exploring the Dark Universe Indiana University June 2007.
Suggested Subaru-NAOJ/Princeton Consortium: Overview Michael Strauss, Ed Turner, Jim Gunn January 25, 2007.
CSM06 Information Retrieval Lecture 1a – Introduction Dr Andrew Salway
14 May 2003Scientific Use Cases - Masahiro Tanaka1 Scientific Use Cases to be implemented to IVOQL Masahiro Tanaka and JVO team (NAOJ) IVOA Interoperability.
IVOA Interoperalibity JVO Query Language Naoki Yasuda (NAOJ/Japanese VO)
February 20, 2006JVO-AstroGrid Collaboration1 Current Status of JVO, and Goal of Collaboration between JVO and AstroGrid Masatoshi Ohishi / NAOJ & Sokendai.
Oct. 1, 2004IVOA Small Projects Meeting1 Development of JVO prototype system and its application to Astrophysics Portal System : M. Tanaka Data Service.
Japanese Virtual Observatory Project Abstract : The National Astronomical Observatory of Japan (NAOJ) started the Japanese Virtual Observatory (JVO) project.
Space Warps. Light is believed to travel the shortest distance between two points But…… the path of light is curved in the presence of a gravitational.
The International Virtual Observatory Alliance (IVOA) interoperability in action.
Japanese Virtual Observatory Project Abstract : The National Astronomical Observatory of Japan (NAOJ) started the Japanese Virtual Observatory (JVO) project.
May 17, 2005Maria Nieto-Santisteban, JHU / IVOA - Kyoto1 VO JHU Open SkyQuery and more … T. Budavari, S. Carliles, L. Dobos, G. Fekete,
1 Chapter 7: Customizing and Organizing Project Results 7.1 Combining Results 7.2 Updating Results 7.3 Customizing the Output Style (Self-Study)
German Astrophysical Virtual Observatory Overview and Results So Far W. Voges, G. Lemson, H.-M. Adorf.
More to the universe than meets the eye
Strong Lensing Surveys and Statistics Dan Maoz. zqzq Survey strategies: Search among source population for lensed cases or Search behind potential lenses.
Japanese Virtual Observatory (JVO) National Astronomical Observatory of Japan (NAOJ) Contact Address: Demo 1: GRID-based database federation.
Web based spectrum databases and utilities László Dobos Tamás Budavári István Csabai MAGPOP kick-off meeting, January Cassis.
JVO portal service Yuji Shirasaki National Astronomical Observatory of Japan.
GE 3128: Geographical Research Methods Mr. Idrissa Y. H. Assistant Lecturer In Geography Department of Social Sciences State University of Zanzibar Friday22.
OOI Cyberinfrastructure and Semantics OOI CI Architecture & Design Team UCSD/Calit2 Ocean Observing Systems Semantic Interoperability Workshop, November.
Publishing Combined Image & Spectral Data Packages Introduction to MEx M. Sierra, J.-C. Malapert, B. Rino VO ESO - Garching Virtual Observatory Info-Workshop.
Three color composite image Color-Color diagram SED SED relative to R-band Download FITS Searching for a cosmic string through the gravitational lens effect:
2004/03/08Japan-France Grid Computing Workshop in Paris Japanese Virtual Observatory Project Masatoshi Ohishi National Astronomical Observatory of Japan.
Jacksonville SQL Saturday May 9, 2015 Introduction to Power BI.
End of the Beginning for IVOA is now Roy Williams IVOA Technical Lead.
April 29, 2005ISGC Taipei1 Recent Progress of the Japanese Virtual Observatory Project Masatoshi Ohishi / NAOJ 大石雅寿 / 国立天文台
Add More Zing to your Dashboards – Creating Zing Plot Gadgets
Moving towards the Virtual Observatory Paolo Padovani, ST-ECF/ESO
May 14 (Wed) Masatoshi Ohishi (Japan)
2018/11/23 An Application for the Data Grid : A Prototype of the Japanese Virtual Observatory System Masatoshi Ohishi National Astronomical Observatory.
Current Status of Japanese Virtual Observatory
2018/11/27 An Application for the Data Grid : A Prototype of the Japanese Virtual Observatory System Masatoshi Ohishi National Astronomical Observatory.
Progress Report of VOQL WG
Reports Report builder meets the challenge by making it easy to design, publish, and distribute professional, production-quality reports in a variety of.
Presentation transcript:

IVOA Small Projects Meeting Application to the science S. Honda, Y. Shirasaki, M. Tanaka and JVO team National Astronomical Observatory of Japan

The development plan of JVO JVO develops for a few limited science scenarios, and it expands for other science scenarios. The required functions are probed and added.

Scientific target on JVO prototype 2 Cross match of the optical and X-ray catalogs and image retrievals. Search for gravitational lens objects. A phenomenon that the space-time is distorted by a huge mass object, and multiple images of another object behind the massive object are observed around it. SDF and SXDS data observed by Subaru are used.

Work flow for Gravitational lens search 1.Retrieve Subaru catalog data in a specified region. 2.Calculate brightness. 3.Define condition to select quasars. 4.Make a list of pair quasar objects. 5.Retrieve image data of the pair objects. 6.Narrow candidates by analyzing the image data.

User Authentication User login page.

JVO QL Editor Choose catalog and specify retrieval condition using JVOQL editor. Create SQL Search Query condition can be specified on this web form.

DB Search Registry is used to find available data.

Search Status JVOQL parser decomposes JVOQL. Scheduler generates work flow, and Executer performs remote procedure calls.

Search result Cross match of the optical and X-ray catalogs and image retrievals. Column attributes are displayed by pushing the “ column_info ” button, where you can also control the column layout. This is a kind of VOTable viewer and provides an easy access to both the table and image data.

Analysis tools for Gravitational lens search Select pair objects of similar color. Select VOTable. It is easy to add new analysis tools for conducting particular science. GL search can be carried out using the VOTable of search result.

Candidate of Gravitational lens object. Search result Combine the three color images. Plot the photo z, color.

The science target in prototype 3 Cosmic String Search through the gravitational lens effect. Environmental dependence of QSO evolution. Automatic classification of late type star. Search for very metal-poor stars. etc.

Prediction by Unified theory – super heavy cosmic strings with linear mass density of g/cm in the early universe. The lens effect by a long cosmic string – undistorted lensed image – co-aligned in a direction of string network – distributed in a very large scale. Because of its large scale nature, wide fied deep survey is crucial for its discovery.  Data mining from Subaru Suprime-Cam image data Cosmic String

Cosmic String Search Result

Gravitational Lens by Cosmic Strings

Gravitational lends NASA/STScI