methods: data analysis; techniques: radial velocities; stars: kinematics and dynamics; techniques: spectroscopic; surveys
Abstract :
[en] Context. The derivation of radial velocities from large numbers of spectra that typically result from survey work, requires automation. However, except for the classical cases of slowly rotating late-type spectra, existing methods of measuring Doppler shifts require fine-tuning to avoid a loss of accuracy due to the idiosyncrasies of individual spectra. The radial velocity spectrometer (RVS) on the Gaia mission, which will start operating very soon, prompted a new attempt at creating a measurement pipeline to handle a wide variety of spectral types. <BR /> Aims: The present paper describes the theoretical background on which this software is based. However, apart from the assumption that only synthetic templates are used, we do not rely on any of the characteristics of this instrument, so our results should be relevant for most telescope-detector combinations. <BR /> Methods: We propose an approach based on the simultaneous use of several alternative measurement methods, each having its own merits and drawbacks, and conveying the spectral information in a different way, leading to different values for the measurement. A comparison or a combination of the various results either leads to a "best estimate" or indicates to the user that the observed spectrum is problematic and should be analysed manually. <BR /> Results: We selected three methods and analysed the relationships and differences between them from a unified point of view; with each method an appropriate estimator for the individual random error is chosen. We also develop a procedure for tackling the problem of template mismatch in a systematic way. Furthermore, we propose several tests for studying and comparing the performance of the various methods as a function of the atmospheric parameters of the observed objects. Finally, we describe a procedure for obtaining a knowledge-based combination of the various Doppler-shift measurements.
Disciplines :
Space science, astronomy & astrophysics
Author, co-author :
David, M.; Departement Wiskunde en InformaticaUniversiteit Antwerpen, Middelheimlaan 1, 2020, Antwerpen, Belgium
Blomme, R.; Royal Observatory of Belgium, Ringlaan 3, 1180, Brussels, Belgium
Frémat, Y.; Royal Observatory of Belgium, Ringlaan 3, 1180, Brussels, Belgium
Damerdji, Yassine ; Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Astroph. extragalactique et observations spatiales (AEOS)
Delle Luche, C.; GEPI, Observatoire de Paris, CNRS, Université Paris Diderot, place Jules Janssen, 92195, Meudon Cedex, France
Gosset, Eric ; Université de Liège - ULiège > Groupe d'astrophysique des hautes énergies (GAPHE)
Katz, D.; GEPI, Observatoire de Paris, CNRS, Université Paris Diderot, place Jules Janssen, 92195, Meudon Cedex, France
Viala, Y.; GEPI, Observatoire de Paris, CNRS, Université Paris Diderot, place Jules Janssen, 92195, Meudon Cedex, France)
Language :
English
Title :
A multi-method approach to radial-velocity measurement for single-object spectra
Brown, T. M. 1990, in CCDs in astronomy, ed. G. H. Jacoby, ASP Conf. Ser., 8, 335
Butler, R. P., Marcy, G. W., Williams, E. et al., 1996, PASP, 108, 500
Cahoy, K., Fischer, D., Spronck, J., & DeMille, D. 2010, in Modern Technologies in Space- and Ground-Based Telescopes and Instrumentation, ed. E. L. D. Atad-Ettedgui, Proc. SPIE The International Society for Optical Engineering, 7739
Cash, W. 1979, ApJ, 228, 939
Chelli, A. 2000, A&A, 358, L59
Chen, C. H., Mamajek, E. E., Bitner, M. A. et al., 2011, ApJ, 738, 122
Connes, P. 1985, Ap&SS, 110, 211
Cornu, A. 1890, Sur la méthode Doppler-Fizeau permettant la détermination, par l'analyse spectrale, de la vitesse des astres dans la direction du rayon visuel (Paris: Impr. Gauthier-Villars et fils)
Da Costa, G. S., Freeman, K. C., Kalnajs, A. J., Rodgers, A. W., & Stapinski, T. E. 1977, AJ, 82, 810
David, M., & Verschueren, W. 1995, A&AS, 111, 183
De Loore, C., Monderen, P., & Rousseeuw, P. 1987, A&A, 178, 307
Deslandres, H. 1898, Astron. Nachr., 148, 23
Díaz, C. G., González, J. F., Levato, H., & Grosso, M. 2011, A&A, 531, A143
Dravins, D., Lindegren, L., & Madsen, S. 1999, A&A, 348, 1040
Fekel, F. C. 1999, in IAU Colloq. 170: Precise Stellar Radial Velocities, eds. J. B. Hearnshaw, & C. D. Scarfe, ASP Conf. Ser., 185, 378
Fellgett, P. 1955, Optica Acta, 2, 9
Furenlid, I., & Furenlid, L. 1990, PASP, 102, 592
Gray, D. F. 2005, The Observation and Analysis of Stellar Photospheres (Cambridge University Press)
Griffin, R. F. 1967, ApJ, 148, 465
Griffin, R. F., & Gunn, J. E. 1974, ApJ, 191, 545
Griffin, R. E. M., David, M., & Verschueren, W. 2000, A&AS, 147, 299
Groote, D., & Hunger, K. 1977, A&A, 56, 129
Gullberg, D., & Lindegren, L. 2002, A&A, 390, 383
Hill, G. 1982, Publications of the Dominion Astrophysical Observatory Victoria, 16, 59
Hill, G. 1993, in New Frontiers in Binary Star Research, eds. K.-C. Leung, & I.-S. Nha, ASP Conf. Ser., 38, 127
Höhle, J., & Höhle, M. 2009, Int. J. Photogrammetry Remote Sensing, 64, 398
Huggins, W. 1868, Roy. Soc. London Philos. Trans. Ser. I, 158, 529
Jenkins, G. M., & Watts, D. G. 1969, Spectral analysis and its applications (London: Holden-Day)
Kambe, E., Ando, H., Sato, B. et al., 2008, Publ. Astron. Soc. Japan, 60, 45
Katz, D., Munari, U., Cropper, M. et al., 2004, MNRAS, 354, 1223
Kendall, M., & Stuart, A. 1969, The advanced theory of statistics. Vol.1: Distribution theory 3rd edn. (London: Charles Griffin & Co. Ltd.)
Klinkerfues, E. F. W. 1866, Astron. Nachr., 66, 337
Kurtz, M. J., & Mink, D. J. 1998, PASP, 110, 934
Lampton, M., Margon, B., & Bowyer, S. 1976, ApJ, 208, 177
Li, C.-H., Benedick, A. J., Fendel, P. et al., 2008, Nature, 452, 610
Martin, B. R. 1971, Statistics for physicists (London: Academic Press)
Mazeh, T., & Zucker, S. 1992, in IAU Colloq. 135: Complementary Approaches to Double and Multiple Star Research, eds. H. A. McAlister, & W. I. Hartkopf, ASP Conf. Ser., 32, 164
Mazeh, T., Zucker, S., Goldberg, D. et al., 1995, ApJ, 449, 909
Murdoch, K., & Hearnshaw, J. B. 1991, Ap&SS, 186, 137
Murphy, M. T., Udem, T., Holzwarth, R. et al., 2007, MNRAS, 380, 839
North, R. C., Marsh, T. R., Kolb, U., Dhillon, V. S., & Moran, C. K. J. 2002, MNRAS, 337, 1215
Penrose, R. 1955, Math. Proc. Cambridge Philos. Soc., 51, 406
Penrose, R. 1956, Math. Proc. Cambridge Philos. Soc., 52, 17
Press, W. H., Flannery, B. P., & Teukolsky, S. A. 1986, Numerical recipes, The art of scientific computing
Ramm, D. J. 2004, Ph.D. Thesis, University of Canterbury
Reiners, A., Bean, J. L., Huber, K. F. et al., 2010, ApJ, 710, 432
Royer, F. 1999, Ph.D. Thesis, Observatoire de Paris
Royer, F., Gerbaldi, M., Faraggiana, R., & Gómez, A. E. 2002, A&A, 381, 105
Sargent, W. L. W., Schechter, P. L., Boksenberg, A., & Shortridge, K. 1977, ApJ, 212, 326
Seifahrt, A., & Kaeufl, H. U. 2008, A&A, 491, 929
Siegel, S. 1956, Non-parametric statistics for the behavioral sciences (New York: McGraw-Hill)
Simkin, S. M. 1974, A&A, 31, 129
Sohncke, L. 1867, Astron. Nachr., 69, 209
Steinmetz, M., Zwitter, T., Siebert, A. et al., 2006, AJ, 132, 1645
Steinmetz, T., Wilken, T., Araujo-Hauck, C. et al., 2008, Science, 321, 1335
Steinmetz, M., Siebert, A., Zwitter, T., & RAVE Collaboration. 2009, in IAU Symp. 254, eds. J. Andersen, J. Bland-Hawthorn, & B. Nordström, 453
Tonry, J., & Davis, M. 1979, AJ, 84, 1511
Torres, G., Latham, D. W., & Stefanik, R. P. 2007, ApJ, 662, 602
Valdivielso, L., Esparza, P., Martin, E. L., Maukonen, D., & Peale, R. E. 2010, ApJ, 715, 1366
van Eyken, J. C., Ge, J., & Mahadevan, S. 2010, ApJS, 189, 156
Verschueren, W. 1991, Ph.D. thesis, Vrije Universiteit Brussel
Verschueren, W., & David, M. 1999, A&AS, 136, 591
Verschueren, W., David, M., & Griffin, R. E. M. 1999, A&AS, 140, 107
Weiss, W. W., Jenkner, H., & Wood, H. J. 1978, A&A, 63, 247
Wilkinson, M. I., Vallenari, A., Turon, C. et al., 2005, MNRAS, 359, 1306
Woodward, P. M. 1953, Probability and Information Theory, with Applications to Radar (London: Pergamon Press)
Woodward, P. M., & Davies, I. L. 1950, Philosophical Magazine, 41, 1001
Zane, S., Haberl, F., Cropper, M. et al., 2002, MNRAS, 334, 345
Zucker, S. 2003, MNRAS, 342, 1291
Zucker, S., & Mazeh, T. 1994, ApJ, 420, 806
Zverko, J., Ziznovsky, J., Mikulasek, Z., & Iliev, I. K. 2007, Contributions of the Astronomical Observatory Skalnate Pleso, 37, 49
Zwitter, T., Munari, U., & Siebert, A. 2005, in The Three-Dimensional Universe with Gaia, eds. C. Turon, K. S. O'Flaherty, & M. A. C. Perryman, ESA SP, 576, 623