Artículo

Estamos trabajando para incorporar este artículo al repositorio
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Abstract:

Aims. Knowing the distribution of stellar rotational velocities is essential for understanding stellar evolution. Because we measure the projected rotational speed v sin i, we need to solve an ill-posed problem given by a Fredholm integral of the first kind to recover the "true" rotational velocity distribution. Methods. After discretization of the Fredholm integral we apply the Tikhonov regularization method to obtain directly the probability distribution function for stellar rotational velocities. We propose a simple and straightforward procedure to determine the Tikhonov parameter. We applied Monte Carlo simulations to prove that the Tikhonov method is a consistent estimator and asymptotically unbiased. Results. This method is applied to a sample of cluster stars. We obtain confidence intervals using a bootstrap method. Our results are in close agreement with those obtained using the Lucy method for recovering the probability density distribution of rotational velocities. Furthermore, Lucy estimation lies inside our confidence interval. Conclusions. Tikhonov regularization is a highly robust method that deconvolves the rotational velocity probability density function from a sample of v sin i data directly without the need for any convergence criteria. © 2016 ESO.

Registro:

Documento: Artículo
Título:A method to deconvolve stellar rotational velocities II: The probability distribution function via Tikhonov regularization
Autor:Christen, A.; Escarate, P.; Curé, M.; Rial, D.F.; Cassetti, J.
Filiación:Instituto de Estadística, Pontificia Universidad Católica de Valparaíso, Valparaíso, 2950, Chile
Centro Avanzado de Ingenieriá Eléctrica y Electrónica, Universidad Técnica Federico Santa Mariá, Valparaíso, 1680, Chile
Large Binocular Telescope Observatory, Steward Observatory, Tucson, AZ 85546, United States
Instituto de Física y Astronomiá, Universidad de Valparaíso, Chile
Departamento de Matemáticas, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires, Buenos Aires, 1053, Argentina
Universidad Nacional de General Sarmiento, Buenos Aires, 1613, Argentina
Palabras clave:Methods: data analysis; Methods: numerical; Methods: statistical; Stars: fundamental parameters; Stars: rotation; Distribution functions; Financial data processing; Intelligent systems; Monte Carlo methods; Numerical methods; Probability; Probability distributions; Problem solving; Stars; Statistical methods; Velocity; Velocity distribution; Methods: numericals; Methods:data analysis; Methods:statistical; Stars: Rotation; Stars:fundamental parameters; Probability density function
Año:2016
Volumen:595
DOI: http://dx.doi.org/10.1051/0004-6361/201629070
Título revista:Astronomy and Astrophysics
Título revista abreviado:Astron. Astrophys.
ISSN:00046361
CODEN:AAEJA
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_00046361_v595_n_p_Christen

Referencias:

  • Bouhamidi, A., Jbilou, K., (2007) J. Comput. Appl. Math., 206, p. 86
  • Burger, M., (2007) Inverse Problems, Lecture Notes, , Winter 2007/08 (University Muenster)
  • Chandrasekhar, S., Münch, G., (1950) ApJ, 111, p. 142
  • Curé, M., Rial, D.F., Christen, A., Cassetti, J., (2014) A&A, 565, p. A85
  • Deng, L.-J., Huang, T.-Z., Zhao, L., Wang, S., (2013) J. Opt. Soc. Am. A, 30, p. 5
  • Efron, B., Tibshirani, R.J., (1993) An Introduction to the Bootstrap, , (Chapman & Hall CRC)
  • Eggermont, P.P.B., (1993) SIAM J. Math. Anal., 24, p. 6
  • Fomel, S., (2007) Geophysics, 72, p. 29
  • Hansen, P.C., (2010) Discrete Inverse Problems: Insight and Algorithms (SIAM)
  • Ivanov, V., Vasin, V., Tanana, V., (2002) Theory of Linear Ill-posed Problems and Its Applications, , (Utrecht, Boston: VSP)
  • Lucy, L.B., (1974) AJ, 79, p. 745
  • Lucy, L.B., (1994) Rev. Mod. Astron., 7, p. 31
  • Press, W.H., Teukolsky, S.A., Vetterling, W.T., Flannery, B.P., (2007) Numerical Recipes, , (Cambridge University Press)
  • Ramírez-Agudelo, O.H., Simón-Diáz, S., Sana, H., (2013) A&A, 560, p. A29
  • Richardson, W.H., (1972) J. Opt. Soc. America, 62, p. 55
  • Silverman, B.W., Density estimation for statistics and data analysis (1986) Monographs on Statistics and Applied Probability No. 26, , (London: Chapman and Hall)
  • Tikhonov, A.N., (1943) Acad. Sci. URSS, 39, p. 176. , C. R. (Doklady) (N. S.)
  • Tikhonov, A.N., Soviet Math Dokl, 4, p. 1035. , English translation of Dokl Akad Nauk SSSR, 1963, 151, 501
  • Tikhonov, A.N., Arsenin, V.Y., (1977) Solution of Ill-posed Problems, , (Washington: Winston & Sons)
  • Tikhonov, A.N., Goncharsky, A.V., Stepanov, V.V., Yagola, A.G., (1995) Numerical Methods for the Solution of Ill-Posed Problems, , (Kluwer Academic Publishers)

Citas:

---------- APA ----------
Christen, A., Escarate, P., Curé, M., Rial, D.F. & Cassetti, J. (2016) . A method to deconvolve stellar rotational velocities II: The probability distribution function via Tikhonov regularization. Astronomy and Astrophysics, 595.
http://dx.doi.org/10.1051/0004-6361/201629070
---------- CHICAGO ----------
Christen, A., Escarate, P., Curé, M., Rial, D.F., Cassetti, J. "A method to deconvolve stellar rotational velocities II: The probability distribution function via Tikhonov regularization" . Astronomy and Astrophysics 595 (2016).
http://dx.doi.org/10.1051/0004-6361/201629070
---------- MLA ----------
Christen, A., Escarate, P., Curé, M., Rial, D.F., Cassetti, J. "A method to deconvolve stellar rotational velocities II: The probability distribution function via Tikhonov regularization" . Astronomy and Astrophysics, vol. 595, 2016.
http://dx.doi.org/10.1051/0004-6361/201629070
---------- VANCOUVER ----------
Christen, A., Escarate, P., Curé, M., Rial, D.F., Cassetti, J. A method to deconvolve stellar rotational velocities II: The probability distribution function via Tikhonov regularization. Astron. Astrophys. 2016;595.
http://dx.doi.org/10.1051/0004-6361/201629070