A new non-linear limb-darkening law for LTE stellar atmosphere models II. A. Claret

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A&A 401, 657 660 (2003) DOI: 10.1051/0004-6361:20030142 c ESO 2003 Astronomy & Astrophysics A new non-linear limb-darkening law for LTE stellar atmosphere models II Geneva and Walraven systems: Calculations for 5.0 log [M/H] +1, 2000 K T eff 50 000 K at several surface gravities A. Claret Instituto de Astrofísica de Andalucía, CSIC, Apartado 3004, 18080 Granada, Spain Received 3 December 2002 / Accepted 15 January 2003 Abstract. As an extension of our previous investigations on stellar atmospheres (Claret 2000), the limb-darkening coefficients for the Geneva and Walraven photometric systems are presented for the first time using the ATLAS and PHOENIX models. They cover a wide range of values of log g, T eff, metallicities and microturbulent velocities. In addition to the traditional applications of limb-darkening coefficients, the present ones are now being used in the interpretation of phase shift of B and A-F type pulsating stars. Key words. stars: atmospheres stars: binaries: eclipsing stars: abundances 1. Introduction In a previous paper (Claret 2000, Paper I) a new non-linear limb-darkening law was presented, that is capable of describe very accurately the specific intensity distribution. In addition, such a law can be applied in the whole HR diagram, instead of the bi-parametric laws which are barely adequate only in a certain range of effective temperatures and surface gravities. The corresponding non-linear limb-darkening coefficients were derived using the Least-Square Method (LSM) allowing a very good description of specific intensity atanypart of the disk, for any filter or wavelength, log g, effective temperature, metallicity and microturbulent velocity. The results were tabulated for two of the most used photometric systems, uvbyubvrijhk and bolometric and monochromatic calculations were also made available. The computations were presented for 19 metallicities ranging from 10 5 up to 10 +1 solar abundances, 0 log g 5 and 2000 K T eff 50 000 K. For the solar composition, we have also computed limb-darkening coefficients (LDC) for microturbulent velocities of 0, 1, 2, 4, 8 km s 1. It was also shown in that paper that the Flux Conservation Method (FCM) is not adequate to describe, mainly near the border of the disk, which are the most crucial points. Tables 2 38 are available in electronic form at the CDS via anonymous ftp to cdsarc.u-strasbg.fr (130.79.128.5) or via http://cdsweb.u-strasbg.fr/cgi-bin/qcat?j/a+a/401/657. Additional data are available on CD ROMs upon request. e-mail: claret@iaa.es Although the mentioned calculations cover the needs of several fields of astrophysics, many observations are now being carried out in less known photometric systems, such as the Geneva and Walraven ones. To give an example of a recent application, they are now being utilized in investigations on phase shifts of pulsating B and A-F stars (Daszynska 2002). The importance of the corresponding limb-darkening coefficients (LDC) for those stars and for other branches of stellar astrophysics are therefore obvious. The aim of this short paper is to present such calculations. 2. The calculations and the table organization The importance of the LDC in astrophysics in general were discussed in detail in the previous papers and we do not repeat here the arguments; we only add to that list the mentioned research on the phase shift of pulsating B and A-F stars (Daszynska 2001, 2002). The numerical procedure and methodology which will be used here, as well as the input data, were described in detail in Paper I; the only difference is the filter transmission: Geneva system (Golay 1962) and Walraven (Walraven & Walraven 1960). As in Paper I, we have used the ATLAS (Kurucz 2000) and PHOENIX (Haulschildt 2000) models. We have performed calculations of LDC for the same grids as before, that is, 19 metallicities ranging from 10 5 up to 10 +1 solar abundances, 0 log g 5 and 2000 K T eff 50 000 K as well as for 5 values of the microturburlent velocities (0, 1, 2, Article published by EDP Sciences and available at http://www.aanda.org or http://dx.doi.org/10.1051/0004-6361:20030142

658 A. Claret: A new non-linear limb-darkening law for LTE stellar atmosphere models. II. Fig. 1. The linear coefficient u following PHOENIX models (continuous lines) and ATLAS (asterisks). Log g = 4.5, solar abundance. 4, 8 km s 1 ). We reproduce below the adopted LDC laws in order to facilitate the identification of the coefficients contained in the tables: Linear = 1 u(1 µ). (1) I(1) Quadratic I(1) = 1 a(1 µ) b(1 µ)2. (2) Square root I(1) = 1 c(1 µ) d(1 µ). (3) Logarithmic = 1 e(1 µ) f µ ln(µ) (4) I(1) where I(1) is the specific intensity at the center of the disk, u, a, b, c, d, e, f are the corresponding LDC and µ = cos(γ), γ being the angle between the line of sight and the emergent intensity. The proposed new law introduced in Paper I can be written as I(1) =1 a 1(1 µ 1/2 ) a 2 (1 µ) a 3 (1 µ 3/2 ) a 4 (1 µ 2 ). We shall denote the Geneva filters with a prefix G in order to differentiate them from the corresponding filter in the Walraven system (prefix W) because there are some common letters to design the bands. In this way, the filters are denoted by GU GB1 GB GB2 GV1 GV GG WW WU WL WB WV. As commented, we have adopted the LSM, which is superior to the FCM and we refer the interested readers to Paper I for a detailed comparison. This superiority was again detected in this series of calculations whatever the filter, effective temperature, log g, metallicity and microturburlent velocity. The superiority of the LSM over FCM is clear whatever the law used. Among other reasons (see Sects. 2.2 and 3.1 in Paper I), the FCM method does not use any kind of information on how the intensity is distributed over the disk and an extra condition (arbitrary) to derive the LDC is, therefore, necessary (the arbitrariness increasing with the complexity of the corresponding law). (5)

A. Claret: A new non-linear limb-darkening law for LTE stellar atmosphere models. II. 659 Fig. 2. The specific intensities as a function of µ for T eff = 4000 K and 9000 K (log g = 4.5). ATLAS models are represented by full lines while dashed ones denote PHOENIX models. Solar metallicity. As an example of the behavior of the derived LDC we can see in Fig. 1 how the coefficient u depends on the effective temperature for ATLAS and PHOENIX models. For 6300 K T eff 9800 K and for larger passbands the comparison shows an acceptable agreement while for smaller T eff the interagreement is worse. This comparison presents similarities with the one discussed in Claret (1998) when comparing the ATLAS and PHOENIX models in the LDC calculations for uvbyubvrijhk filters. Figure 2 shows the intensities for two models (T eff = 4000 K and 9000 K, log g = 4.5, filters GU and GB) using ATLAS (full line) and PHOENIX (dashed one). The new non-linear law was adopted. These models confirm the aspect suggested by Fig. 1: for lower effective temperatures and small effective wavelength, a large difference is detected. Note that such a disagreement is due to the input physics of both codes. We do not reproduce the arguments in Paper I and in Claret (1998). We refer the interested readers to both papers. However, some words of caution on this kind of comparison are needed. Although the number of µ points are similar in ATLAS and PHOENIX codes, their distribution are not the same. This has immediate implication for the interpretation of, for example, bi-parametric coefficients. So, the differences shown in Figs. 1 and 2 cannot be attributed only to differences in the physics of the codes but also to the angular distribution of points. Finally, some words concerning the table organization. Table 1 summarizes the main characteristics of the computed LDC and it is self explanatory. We encourage the reader to use the new non-linear law since it provides a very good description of (with merit functions about 10 3 10 4 times smaller than those for linear and bi-parametric approximations (see Paper I). However, if one is interested in using the linear or bi-parametric approximations, additional tables containing the respectives merit functions are also available to evaluate the errors. Although the FCM does not provide good fits to the actual specific intensities, the LDC based on this method are also available on request. The same holds for the monochromatic and actual intensities for the 12 passbands. Acknowledgements. R. Kurucz and P. H. Hauschildt are acknowledged for providing the data of their respective atmosphere models. The Spanish DGYCIT (PB98-0499) is gratefully acknowledged for its support during the development of this work.

660 A. Claret: A new non-linear limb-darkening law for LTE stellar atmosphere models. II. Table 1. Limb-Darkening coefficients for GU GB1 GB GB2 GV1 GV GG WW WU WL WB WV bands (Least-Squares Method). Name Source range T eff range log g log [M/H] Vel Turb. Kind of fitting Table 2 ATLAS 3500 K 50 000 K 0.0 5.0 5.0 2 km s 1 Eq. (5), 12 filters Table 3 ATLAS 3500 K 50 000 K 0.0 5.0 4.5 2 km s 1 Eq. (5), 12 filters Table 4 ATLAS 3500 K 50 000 K 0.0 5.0 4.0 2 km s 1 Eq. (5), 12 filters Table 5 ATLAS 3500 K 50 000 K 0.0 5.0 3.5 2 km s 1 Eq. (5), 12 filters Table 6 ATLAS 3500 K 50 000 K 0.0 5.0 3.0 2 km s 1 Eq. (5), 12 filters Table 7 ATLAS 3500 K 50 000 K 0.0 5.0 2.5 2 km s 1 Eq. (5), 12 filters Table 8 ATLAS 3500 K 50 000 K 0.0 5.0 2.0 2 km s 1 Eq. (5), 12 filters Table 9 ATLAS 3500 K 47 500 K 0.0 5.0 1.5 2 km s 1 Eq. (5), 12 filters Table 10 ATLAS 3500 K 50 000 K 0.0 5.0 1.0 2 km s 1 Eq. (5), 12 filters Table 11 ATLAS 3500 K 50 000 K 0.0 5.0 0.5 2 km s 1 Eq. (5), 12 filters Table 12 ATLAS 3500 K 50 000 K 0.0 5.0 0.3 2 km s 1 Eq. (5), 12 filters Table 13 ATLAS 3500 K 50 000 K 0.0 5.0 0.2 2 km s 1 Eq. (5), 12 filters Table 14 ATLAS 3500 K 50 000 K 0.0 5.0 0.1 2 km s 1 Eq. (5), 12 filters Table 15 ATLAS 3500 K 50 000 K 0.0 5.0 0.0 2 km s 1 Eq. (5), 12 filters Table 16 ATLAS 3500 K 50 000 K 0.0 5.0 +0.1 2 km s 1 Eq. (5), 12 filters Table 17 ATLAS 3500 K 50 000 K 0.0 5.0 +0.2 2 km s 1 Eq. (5), 12 filters Table 18 ATLAS 3500 K 50 000 K 0.0 5.0 +0.3 2 km s 1 Eq. (5), 12 filters Table 19 ATLAS 3500 K-45 000 K 0.0 5.0 +0.5 2 km s 1 Eq. (5), 12 filters Table 20 ATLAS 3500 K-40 000 K 0.0 5.0 +1.0 2 km s 1 Eq. (5), 12 filters Table 21 ATLAS 3500 K 50 000 K 0.0 5.0 0.0 0 km s 1 Eq. (5), 12 filters Table 22 ATLAS 3500 K 50 000 K 0.0 5.0 0.0 1 km s 1 Eq. (5), 12 filters Table 23 ATLAS 3500 K 50 000 K 0.0 5.0 0.0 4 km s 1 Eq. (5), 12 filters Table 24 ATLAS 3500 K 50 000 K 0.0 5.0 0.0 8 km s 1 Eq. (5), 12 filters Table 25 (Sun) ATLAS 5777 K 4.377 0.0 1.5 km s 1 Eq. (5), 12 filters Table 26 (Vega) ATLAS 9400 K 3.90 0.5 0 km s 1 Eq. (5), 12 filters Table 30 ATLAS 3500 K 50 000 K 0.0 5.0 all metallicities 0, 1, 2, 4, 8 km s 1 Eq. (1), 12 filters Table 31 ATLAS 3500 K 50 000 K 0.0 5.0 all metallicities 0, 1, 2, 4, 8 km s 1 Eq. (2), 12 filters Table 32 ATLAS 3500 K 50 000 K 0.0 5.0 all metallicities 0, 1, 2, 4, 8 km s 1 Eq. (3), 12 filters Table 33 ATLAS 3500 K 50 000 K 0.0 5.0 all metallicities 0, 1, 2, 4, 8 km s 1 Eq. (4), 12 filters Table 34 PHOENIX 2000 K 9800 K 3.5 5.0 0 2 km s 1 Eq. (5), 12 filters Table 35 PHOENIX 2000 K 9800 K 3.5 5.0 0 2 km s 1 Eq. (1), 12 filters Table 36 PHOENIX 2000 K 9800 K 3.5 5.0 0 2 km s 1 Eq. (2), 12 filters Table 37 PHOENIX 2000 K 9800 K 3.5 5.0 0 2 km s 1 Eq. (3), 12 filters Table 38 PHOENIX 2000 K 9800 K 3.5 5.0 0 2 km s 1 Eq. (4), 12 filters References Claret, A. 1998, A&A, 335, 647 Claret, A. 2000, A&A, 363, 1081 Daszynska, J. 2001, Ph.D. Thesis, Wroclaw University Daszynska, J. 2002, private communication Golay, M. 1972, Vistas Astron., 14, 13 Hauschildt, P. H. 2000, private communication Kurucz, R. L. 2000, private communication Walraven, T., & Walraven, J. H. 1960, BAN, 15, 67

effective temperature, coefficients, Teff, specific intensity, stellar atmosphere, non-linear, stellar atmospheres, photometric systems, LDC, PHOENIX models, ATLAS, PHOENIX, Claret, surface gravities A new non-linear limb-darkening law for LTE stellar atmosphere models IIâ