1 / 15

MIS: science with VO

MIS: science with VO. Contributions from F. Boone, C. Bot, J.M. Désert, M.L. Dubernet, F. Le Petit, A. Walters. Observations/Analyses Spectres - Images Modélisations Astrophysiques Physico-Chimie des processus microscopiques Calculs théoriques Résultats expérimentaux. Thèmes:

nelia
Télécharger la présentation

MIS: science with VO

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. MIS: science with VO Contributions from F. Boone, C. Bot, J.M. Désert, M.L. Dubernet, F. Le Petit, A. Walters M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  2. Observations/Analyses Spectres - Images Modélisations Astrophysiques Physico-Chimie des processus microscopiques Calculs théoriques Résultats expérimentaux Thèmes: Physico-Chimie matière proto-stellaire et proto-planétaire Spectroscopie de matière interst. Dans les galaxies Complexité moléculaire Caractérisation, évolution physico-chimie des grains interstellaires Approche Multi-Disciplinaire Herschel, ALMA, APEX, IRAM ISO, Spitzer VLT, CFHT HST, FUSE M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  3. Pre – VO work for Spectral Analysis • Assessment of needs and quality • Codes: PDR, radiative transfer for water • Spectroscopic data, Collisional data: working groups for needs • Reactive processes: in progress • Build the relevant services including quality control • Basecol: collisional data • CDMS/JPL: MoU • Code PDR (cf talk of F. Le Petit) • Design interfaces: • CASSIS (A. Walters), ASAP (F. Boone) M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  4. Scientific cases • Analyse d’images multi-longueur d’onde du MIS, émission gaz/poussière dans le petit nuage de Magellan: Caroline Bot • Codes du MIS dans le VO • Code de simulation: Franck Le Petit • BDD physique: M.L. Dubernet • BDD Spectres FUSE: Jean Michel Désert • Software CASSIS: Adam Walters • Software ASAP: Frédéric Boone M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  5. Spectral Line Access Paris Observatory and ESA/ESAC ML Dubernet, P. Osuna, M. Guanazzi, J. Salgado, E. Roueff MLD acknowledges support from VO-France, MDA project (F. Genova), Paris Observatory M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  6. Project Overview (1) • Access Atomic/Molecular DB startingwith line lists • Theoretical (measured or calculated) DB • Observed line lists DB • Necessary to access complementary information in order to interpret spectra or model astrophysical media: excitation rate coefficients, etc.. • Clients: stronger evolution towards public software packages for spectral analysis and on line codes for astro. Simulation • Shared, structured, complete and documented access to AM DB • Standardisation O/I, queries, ressources ID M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  7. Overview (2) • Numerous DB are available • Atomic lines: NIST DBs, Kurucz's CD-ROM, Atomic Line List of P. Van Hoof, TOPbase, Kelly Atomic Line DB, VALD, MCHF/MCDHF Collection, D.R.E.A.M, KAERI AMODS • Molecular Lines: JPL Spectroscopic DB, CDMS, HITRAN, GEISA, NIST • Other DB: IEAE, NIFS, CHIANTI, UMIST, BASECOL, small compilations • Observed databases: ATOMDB, NIST, ... • Identification of Pbs • Different DB have similar datasets • DB have different levels of update • Lengthy to identify origin of datasets, find all relevant description of data • Useful data for a single astrophysical application are dispersed in various DB • No homogeneous description of data M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  8. Access to Lines: Data Model • Based on fundamental physics, current databases and needs in astrophysics • Current DM is centered around line for atom and molecules: electronic, vibrational, rotational transitions (couplings) • Allows for identification of • Chemical Species • Level -->Quantum State-->Quantum numbers • Origin and modification of Line • Can be used to model other processes involving transitions because a line corresponds to a transition between two levels • Could be extended to nuclear physics? M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  9. Document status and perspectives Current version: 0.2 (26/9/2005) A discussion on several – albeit mostly minor – points is ongoing Short-term goal: Version 0.3 - agreed by mid-November - will be circulated to the DM group, as well as to atomic and molecular astrophysicists for comments Ultimate goal: achieve the status of a proposed recommendation by the next InterOp meeting M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  10. Chemistry Level Line Species Environment QuantumState Process QuantumNumber Model Model Model Structure M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  11. Access : Query ParametersSLAP : Simple Line Access ProtocolJ. Salgado, P. Osuna, M. Guainazzi, I. Barbarisi, M.L. DubernetCurrently, version 0.1 • By wavelength_min, _max, _mid • By species: Fe I, H20, ... • By type of levels (vibration, rotation, ..) • Combined with associated processes • Would we allow search of other processes independently of lines? (next version?) M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  12. Access to Lines: questions • Registry parameters? • Wavelength range • Keywords = energies, atoms or molecules, processes • Practically how should we proceed ? • Some DB will implement VO, otherwise create VO providers • Create Web Services and vizualization tools with filters M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  13. Currently Implementing • BASECOL database: excitation rate coefficients of molecules (rotation, vibration) • Numerical data, documentation, references • Web service • VOTable output • Errors (for various T and transitions) • Tools for matching Basecol and CDMS/JPL spectroscopic database (necessary for carrying out science) M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  14. Summary • Exchange standards for atomic & molecular standards • Implementation for specific database • Tools to handle existing data • Registries • Still not enough to carry out science • Services are needed to complete data sets: using cheap approximations, extrapolations •  next step for Basecol (only as a webservice) •  should be provided for other processes M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

  15. KAERI: Y.-J. Rhee ATOMDB: N. Brickhouse D. Schwenke J. Tennyson A bunch of french spectroscopists J. Aboudarham (solar) B. Plez (stars) J. Cernicharo (ISM) F. Valdes (calibration package) Contacted peoplePhysicists, Databases, Astronomers • GEISA: N. Husson-Jacquinet • HITRAN: L. Rothman • CDMS: S. Schlemmer • JPL: J. Pearson • UMIST: T. Millar • CHIANTI: P. Young • DREAM: P. Quinet • TOPBase: C. Zeippen • NIST: F. Lovas, Y. Ralchenko • NIFS: T. Kato • IEAE: B. Clark M.L. Dubernet, Obernai - VO School - Introduction et BDD de Physique

More Related