The GHOST in CU8
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The GHOST in CU8. Coralie Neiner Paris-Meudon Observatory [email protected] GHOST website: http://www.ster.kuleuven.be/~coralie/gaiahot.html. GAIA lexicon….

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The ghost in cu8

The GHOST in CU8

Coralie Neiner

Paris-Meudon Observatory

[email protected]

GHOST website: http://www.ster.kuleuven.be/~coralie/gaiahot.html


The ghost in cu8

GAIA lexicon…

CU = Coordination Unit For CU8: manager=CBJ, deputy=Frederic Thevenin, scientific coordinator=CBJ, technical coordinator=Michel Nonon

DU = Development Unit = a group of people contributing to a CU or a sub-part of a CU (with a DU coordinator) GHOST = Gaia Hot Stars Team = a DU

(G)WP = (Gaia) Work Package = a group of tasks to be performed in a CU (with a WP manager and sub-WP managers)

SSU = Specific Stars Unit


The ghost in cu8

The CUs of GAIA

  • CU1: System architecture (O’Mullan)

  • CU2: Data simulations (Luri)

  • CU3: Core processing (Bastian)

  • CU4: Object processing (Pourbaix, Tanga)

  • CU5: Photometric processing (van Leeuwen)

  • CU6: Spectroscopic processing (Katz) D. Katz this morning

  • CU7: Variability processing (Eyer)  C. Aerts this morning

  • CU8: Astrophysical parameters (Bailer-Jones)  now!

  • (CU9: Catalogue access)


The ghost in cu8

CU8 Astrophysical parameters

Work Beakdown Structure

  • Top level WPs:

  • Common packagesGWP-C-81xx

  • Support packagesGWP-S-82xx

  • Algorithmic unitsGWP-S-83xx (all objects)

    GWP-S-84xx (SSU)


The ghost in cu8

Common WPs:

GWP-C-8110Coordination and management

GWP-C-8120Definition of system architecture

GWP-C-8130Simulations

GWP-C-8140Configuration management

GWP-C-8150Hardware/System administration


The ghost in cu8

  • Support WPs:

  • GWP-S-8210Stellar models/spectra (Korn/Thevenin)

  • Provide synthetic spectra for single stars across the full AP space expected, at sufficient wavelength resolution and coverage to ensure accurate simulation in BBP, MBP and RVS.

    GHOST contribution:

    models for hot stars and emission line stars (contributors: Y.Frémat, R. Blomme, C. Martayan, J. Zorec, J.-C. Bouret, F. Martins,…)  Y. Frémat this afternoon


The ghost in cu8

  • GWP-S-8220Calibrations and auxiliary data (Soubiran)

  • Provide the real data and parameters required to calibrate the classification and AP estimation methods. Perform new observations if necessary.

    GHOST contribution:

  • provide a list of object types than need new observations (contributors: the whole GHOST)

  • provide a list of typical targets for this object types (contributors: the whole GHOST)

  • help with the observations (contributors: I. Kolka with the Tartu Observatory, A.-M. Hubert, M. Floquet, C. Neiner with the Pic du Midi/TBL,…)


The ghost in cu8

  • GWP-S-8230Interstellar extinction (Straizys)

  • Establish an optimal method for determining the line-of-sight interstellar extinction to individual stars, based on BBP, MBP and RVS.

    GHOST contribution:

    make sure the interstellar extinction is treated properly in emission line stars…


The ghost in cu8

  • Algorithmic units:

  • GWP-S-8310Discrete Source Classifier (DSC) (Bailer-Jones)

  • Use photometry of unresolved ‘slow’ sources to determine the broad class of the object (single star, binary, QSO, …)

    GHOST contribution:

    provide typical criteria for hot stars and emission line stars?


The ghost in cu8

  • GWP-S-8320Generalized Stellar Parametrizer – Photometry (GSP-phot) (Bailer-Jones)

  • Estimate APs for the full range of type of single stars based on photometry (and parallaxes in late-mission)

    GHOST contribution:

    provide typical photometric criteria for hot stars and emission line stars?


The ghost in cu8

  • GWP-S-8330Initial Spectral Analyser (ISA) (Manteiga)

  • For single stars, from RVS spectra, find evidence for binarity, search for emission lines, estimate Av from the DIB

    GHOST contribution:

    provide typical spectral criteria for hot stars and emission line stars?


The ghost in cu8

  • GWP-S-8340Generalized Stellar Parametrizer – Spectroscopy (GSP-spec) (Recio-Blanco)

  • Estimate APs for the full range of type of single stars based on RVS and GSP-Phot

    GHOST contribution:

    provide spectral criteria for hot stars and emission line stars?


The ghost in cu8

GWP-S-8350Object Clustering Analysis (OCA) (Sarro)

  • Identify natural or intrinsic classes of objects (unsupervised classification)

    GHOST contribution:

    provide algorithms for unsupervised classification for hot stars and emission line stars?

     Would the algorithm developed in Leuven be useful here?


The ghost in cu8

  • GWP-S-8360Luminosity, Age and Mass Estimator (LAME) (Lebreton)

  • Estimate the luminosity, age and mass of single stars based on their APs, parallax and apparent G-band magnitude

    GHOST contribution:

    help to determine the G-band magnitude and luminosity, which are crucial for the age and mass determination, for hot stars and emission line stars


The ghost in cu8

GWP-S-8410SSU: QSOs (Claeskens)

GWP-S-8420SSU: Unresolved galaxies (Kontizas)

GWP-S-8430SSU: Solar system objects (Lagerkvist)

GWP-S-8440SSU: Non-single stars (?)

GWP-S-8450Extended stellar parametrizer (Frémat)

51 SSU: Hot stars (Neiner)

52 SSU: Cool stars (Lanzafame)

53 SSU: Ultra cool dwarfs (Barrado)

54 SSU: Abundance anomalous stars (Straizys)

55 SSU: Emission line stars (Neiner)

GWP-S-8460Outlier analysis (Manteiga)

Study, develop and test algorithmswhich provideextended parameter estimates for the considered stars.


The ghost in cu8

  • GWP-S-8451 (hot stars)& GWP-S-8455 (emission line stars)

  •  Study, develop and test algorithmswhich provideextended parameter estimates

  • GHOST contribution:everything in these 2 WPs!

  • Tasks:

  • Develop, implement and test classification algorithms

  • Obtain synthetic data to operate and test algorithms

  • Obtain auxiliary data (via GWP-S-8210!)

  • Analyse test data and GAIA data

  • Participate in final catalogue


The ghost in cu8

  • Deliverables:

  • Project plan (March 2006)

  • Reports onperformance of various algorithms (2006- 2008)

  • Final version of algorithms (2010)

  • Documentation (2010)

  • Improved version from real GAIA data (2012-2016)

  • Progress reports


The ghost in cu8

What needs to be done

(before launch in 2011)

  • Observations:

  • To converge on a list of objects types for which we need new observations, via the GHOST mailing list and website  in the coming months

  • To converge on a list of targets for these object types, via the GHOST mailing list and website  in the coming months

  • To organize, obtain and reduce observations, in collaboration with GWP-S-8210, in particular in Tartu and in France (and with belgian telecopes?)  for the semesters 2007A and 2007B


The ghost in cu8

  • Models:

  • Develop RVS synthetic spectra for OB stars (Frémat et al.)  2006-2007

  • Develop RVS synthetic spectra with emission (Zorec et al.)  2006-2008

  • Develop photometric models for OB stars with and without emission (Frémat et al.)  2006-2008


The ghost in cu8

  • Criteria:

  • Find suitable criteria to classify hot stars from RVS spectra (Fremat et al.)  2006

  • Find suitable criteria to classify emission line stars from RVS spectra (Martayan et al.)  2006

  • Find suitable criteria to classify hot stars from GAIA photometry (Fabregat et al.?)  2006-2007

  • Find suitable criteria to classify emission line stars from GAIA photometry (Kolka et al.)  2006-2007


The ghost in cu8

  • Criteria in practice:

  • The ‘hot stars’ and ‘emission lines stars’ include:

  • O stars- Wolf-Rayet

  • B stars- Luminous Blue Variable (LBV)

  • Be stars- β Cep stars

  • B[e] stars- Slowly Pulsating B (SPB) stars

  • shell Be stars- T Tauri

  • Herbig Ae/Be stars- …

  • 2 millions hot stars in photometry + 400 000 RVS spectra!

  • 400 000 emission line stars + 80 000 RVS spectra!


The ghost in cu8

  • Algorithms:

  • Study, develop and test algorithms to classify hot stars and provide stellar parameters (Frémat et al.) 2006-2010

  • Study, develop and test algorithms to classify emission line stars and provide stellar parameters (Martayan et al.)  2006-2010

    - Help with study, development and test of algorithms to provide luminosity, mass and age estimates (GWP-S-8360) (Frémat et al.?)  2006-2010

  • Help with study, development and test of algorithms for interstellar extinction (GWP-S-8230) (Who?)  2006-2010

  •  Final versions in Java, with documentation


The ghost in cu8

  • Algorithms in practice:

  • We can study and test algorithms in any language

  • We then select the best algorithm for a certain task (efficiency is an important issue!)

  • We write it in Java, with the help of the data center (CNES) if needed

  • We test it thoroughly

  • We provide it to the data center at the latest in 2010 for integration in the GAIA algorithm


The ghost in cu8

  • Where/How can the belgian members of the GHOST contribute:

  • Y. Frémat in Brussels is already involved in many tasks. Needs help!?

  • Expertise of members from Liege for WR stars would be welcome (for example)

  • Will the members from Leuven concentrate on CU7?

  • Contributions to observations?

  •  Discussion open!...


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