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Meeting GHOST2

Meeting GHOST2. Participation in CU6. 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. Algos….

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Meeting GHOST2

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  1. Meeting GHOST2 Participation in CU6 13-14/11/2006 LAM

  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 analysisCoarse 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 analysisCoarse 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 spaceS650-08000/09000 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 • Vsini=0, rv=20 <rv>:19.75-19.84 for V:6-14 • Vsini=150, rv=20 <rv>:18.94-19.27 for V:6-14

  9. Single transit analysisrv & Vsini in Fourier spaceS650-08000/09000 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 methodS650-10000 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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