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Meeting GHOST2

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Algo, Single transit analysis. Single transit analysis. Coarse ... Algo try broadening function, rv shift, best fit. Other method: Least Square Deconvolution ... – PowerPoint PPT presentation

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Title: Meeting GHOST2


1
Meeting GHOST2
  • Participation in CU6

2
Overview
  • Different deadlines depending on the state of the
    workpackages
  • rv, Vsini for all types of stars cold to hot
    stars
  • General information on spectra
  • rv, Vsini on component of multiple system
  • Detection of the variability

3
Algos
4
Algo, Single transit analysis
5
Single transit analysis Coarse characterization
of sourcesS650-06000 C.Martayan, A.-M. Hubert
  • Lists of abs/Em lines (common with CU8)
  • Give S/N ratios
  • Give slopes of spectra
  • Determine RVS magnitudes, comparisons RVS vs
    spectro-photométrie and vs ground-based
    photometry
  • Use templates/masks for lines and
    cross-correlation

6
Single transit analysis Coarse characterization
of sources
  • Other tasks to add ?
  • Cycle 2 10/2006-05/2007
  • Define methods
  • Specification of requirements
  • Obtaining observed and synthetic spectra
  • Cycle 3 05/2007-11/2007
  • Define and write algorithms
  • Observations
  • Tests with observed and synthetic spectra
  • Improvement of methods/algo.

7
Algos
8
Single transit analysisrv Vsini in Fourier
space S650-08000/09000 Y. Frémat, A. Lobel, C.
Delle-Luche, S. Jankov
  • rv, use of cross-correlation in Fourier space
  • Functional analysis done
  • Fortran prototype good results
  • Cold to hot stars
  • Vsini0, rv20 ltrvgt19.75-19.84 for V6-14
  • Vsini150, rv20 ltrvgt18.94-19.27 for V6-14

9
Single transit analysisrv Vsini in Fourier
space S650-08000/09000 Y. Frémat, A. Lobel, C.
Delle-Luche, S. Jankov
  • Cycle 2
  • delivery soft requirements,
  • soft design,
  • end of fortran prototype, implementation of java
    algo.
  • Tests of java algo, delivery soft products
  • Validation of soft
  • Cycle 3 beginning of Vsini study

10
Single transit analysisrv Vsini by mini
distance method S650-10000 R. Blomme, A. Lobel
  • Input grids of template spectra Teff, logg
    (provided by CU8)
  • Method defined
  • Algo try broadening function, rv shift, best fit
  • Other method Least Square Deconvolution
  • Cycle 2 implementation 1st solution direct in
    java
  • Cycle 3 implementation 2nd solution

11
Algos
multiple transits analysis
12
Multiple transits analysisRV Vsini for
multiple line systemsS660-04000 E. Gosset, G.
Rauw, Y. Nazé
  • Using TODCOR method 2D cross-correlation with 2
    templates of spectra
  • Ratio of flux pre-defined or fitted
  • Cycle2 flux ratio fixed, test data to be
    computed
  • Problems of parameters difficult in case of
    multiple lines
  • Provide a flag to indicate the multiplicity
  • Recruitment of 1 postdoc

13
Multiple transits analysisAssess source
variabilityS660-06000 P. De Cat, L. Eyer,
A.-M. Hubert, S. Jankov, P. Dubath, S. Udry
  • Drv as function of type of variable
  • Detection of the variability in CU6 (CU7
    analyses)
  • Function of the S/N ratio
  • Statistical tests (low S/N)
  • Cross-correlation peak (intermediate S/N)
  • Line profile variation, study of Em lines (good
    S/N)
  • Cycle2 analysis on low S/N ratio, statistical
    tests on rv distributions, prototypes will be
    developed
  • Cycle3 request for simulated data
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