Use of CharDM in an archive of velocity cubes
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This document discusses using the Characterization Data Model (CharDM) to describe velocity cube datasets from two projects - AMIGA and B0DEGA. It proposes characterizing properties like spatial axes, velocity axes, flux values, and coverage bounds. Derived datasets like channel maps, integrated flux maps, velocity maps, spectral profiles and radial profiles could also be described. Additional galaxy properties needed by astronomers are listed. Overall it argues that CharDM can help fit velocity cube data for search and generation of on-the-fly derived data products for astronomical analysis and visualization.
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Use of CharDM in an archive of velocity cubes
- 1. Use of CharDM in an archive of velocity cubes! ! Data Modelling Session! ! Jose Enrique Ruiz! IAA-CSIC! ! October 20th 2011! 2011 IVOA Fall Interop Meeting - Pune! 1
- 2. Who am I ?! Instituto Astrofísica de Andalucia - CSIC! 2
- 3. AMIGA Group! Analysis of the interstellar Medium of Isolated Galaxies! ! Statistical baseline of isolated galaxies to compare! ! with the behaviour of galaxies in denser environments! Multi study of ~1000 galaxies! +! Need of intensive and complex analysis of 3D data! 2D spatial + 1 Velocity! IAA-CSIC! Uuiv . Granada, Obs. Marseille, Obs. Paris, NAOJ, ! FCRAO, UNAM, Univ. Edinburgh, IRAM, ESO,! Kapteyn Astronomical Institute.! ! P.I. Lourdes Verdes-Montenegro! http://amiga.iaa.es! 3
- 4. B0DEGA Project! B0DEGA Below 0 DEgrees GAlaxies! ! Molecular gas properties of a survey of nearby galaxies.! 30 processed and reduced datacubes of galaxies! ! ! P.I. : D. Espada! Legacy project of Submillimiter Array interferometer (SMA)! http://b0dega.iaa.es! ! IAA-CSIC! CfA (Harvard-Smithsonian Center for Astrophysics)! ASIAA (Institute of Academia Sinica Astronomy and Astrophysics) ! ! 4
- 5. Velocity Cubes! M. Krips – ESO 3D2008 Workshop – Garching! 5
- 6. B0DEGA VO Web Interface! Mapping SIA & SSA Input parameters with DataModels Need search in “velocity range” 6
- 7. B0DEGA VO Web Interface! Characterization! List of properties describing the datasets! ! • Observable axis not needed in a first time! • Redshift as derived property! • Dataset Type as a target property! 7
- 8. Information from FITS Headers! ! Char! .SpatialAxis! .VelocityAxis! .Coverage! .Location! " .Bounds! Char! .FluxAxis! .Resolution! ! .Coverage! " .Support! ! DATAMIN<0 8
- 9. B0DEGA VO Web Interface! 9
- 10. B0DEGA VO Web Interface! Data needed by the Astronomer! ! • Decoupled coordinates! • Distances! • Morphological Type! • Bar ! • Ring! • Multiple! • Linear diameter! • Masses! • Luminosities! • Inclination! • Position Angle! 10
- 11. Fitting to CharDM! Array of velocities needed for generation of virtual channel maps Not regular sampling ? 11
- 12. Derived datasets from velocity cubes! Channel Map Char.VelocityAxis.Coverage.Support ! Array of values 12
- 13. Derived datasets from velocity cubes! Integrated Flux! Map Char.VelocityAxis.Coverage.Bounds.Extent! 13
- 14. Derived datasets from velocity cubes! Velocity Map Char.VelocityAxis.Coverage.Bounds.Extent! 14
- 15. Derived datasets from velocity cubes! Spectral Profile Char.VelocityAxis.Coverage.Bounds.Extent! Char.SpatialAxis.Coverage.Support.Extent! 15
- 16. Derived datasets from velocity cubes! Radial Profile Char.VelocityAxis.Coverage.Bounds.Extent! Position angle, Length and Width of the radius of the galaxy ! 16
- 17. Other considerations! • Characterization of content is needed for the generation of on-the-fly virtual data subproducts! Splinter Session! SIA v2 Access Methods! • Accuracy and errors should be linked to a Provenance DM! • Polarization Axis! ! ! ! ! ! 17