Three-dimensional interferometric, spectrometric, and planetary views of Procyon

被引:38
|
作者
Chiavassa, A. [1 ]
Bigot, L. [2 ]
Kervella, P. [3 ]
Matter, A. [4 ]
Lopez, B. [2 ]
Collet, R. [5 ,6 ]
Magic, Z. [7 ]
Asplund, M. [8 ]
机构
[1] Univ Libre Bruxelles, Inst Astron & Astrophys, B-1050 Brussels, Belgium
[2] Univ Nice Sophia Antipolis, Observ Cote Azur, CNRS, Lab Lagrange, F-06304 Nice 4, France
[3] Univ Paris Diderot, UPMC, CNRS, LESIA,Observ Paris,UMR 8109, F-92195 Meudon, France
[4] Max Planck Inst Radioastron, D-53121 Bonn, Germany
[5] Univ Copenhagen, Nat Hist Museum Denmark, Ctr Star & Planet Format, DK-1350 Copenhagen, Denmark
[6] Niels Bohr Inst, Astron Observ, DK-2100 Copenhagen, Denmark
[7] Max Planck Inst Astrophys, D-85741 Garching, Germany
[8] Australian Natl Univ, Res Sch Astron & Astrophys, Weston, ACT 2611, Australia
来源
ASTRONOMY & ASTROPHYSICS | 2012年 / 540卷
关键词
radiative transfer; hydrodynamics; techniques: interferometric; planetary systems; stars: atmospheres; stars: individual: Procyon; SOLAR-LIKE OSCILLATIONS; GLOBAL PRESSURE OSCILLATIONS; EXTRASOLAR GIANT PLANETS; P-MODE OSCILLATIONS; ALPHA-CENTAURI-B; OPTICAL INTERFEROMETRY; STELLAR GRANULATION; MULTISITE CAMPAIGN; CONVECTION MODELS; DATA REDUCTION;
D O I
10.1051/0004-6361/201118652
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
Context. Procyon is one of the brightest stars in the sky and one of our nearest neighbours. It is therefore an ideal benchmark object for stellar astrophysics studies using interferometric, spectroscopic, and asteroseismic techniques. Aims. We use a new realistic three-dimensional (3D) radiative-hydrodynamical (RHD) model atmosphere of Procyon generated with the STAGGER CODE and synthetic spectra computed with the radiative transfer code OPTIM3D to re-analyze interferometric and spectroscopic data from the optical to the infrared. We provide synthetic interferometric observables that can be validated using observations. Methods. We computed intensity maps from a RHD simulation in two optical filters centered on 500 and 800 nm (Mark III) and one infrared filter centered on 2.2 mu m (VINCI). We constructed stellar disk images accounting for the center-to-limb variations and used them to derive visibility amplitudes and closure phases. We also computed the spatially and temporally averaged synthetic spectrum from the ultraviolet to the infrared. We compare these observables to Procyon data. Results. We study the impact of the granulation pattern on center-to-limb intensity profiles and provide limb-darkening coefficients in the optical as well as in the infrared. We show how the convection-related surface structures affect the visibility curves and closure phases with clear deviations from circular symmetry, from the 3rd lobe on. These deviations are detectable with current interferometers using closure phases. We derive new angular diameters at different wavelengths with two independent methods based on 3D simulations. We find that theta(Vinci) = 5.390 +/- 0.03 mas, which we confirm by comparison with an independent asteroseismic estimation (theta(seismic) = 5.360 +/- 0.07 mas. The resulting T-eff is 6591 K (or 6556 K depending on the bolometric flux used), which is consistent with the value of T-eff,T-IR = 6621 K found with the infrared flux method. We measure a surface gravity log g = 4.01 +/- 0.03 [cm/s(2)] that is higher by 0.05 dex than literature values. Spectrophotometric comparisons with observations provide very good agreement with the spectral energy distribution and photometric colors, allowing us to conclude that the thermal gradient in the simulation matches Procyon fairly well. Finally, we show that the granulation pattern of a planet-hosting Procyon-like star has a non-negligible impact on the detection of hot Jupiters in the infrared using interferometry closure phases. It is then crucial to have a comprehensive knowledge of the host star to directly detect and characterize hot Jupiters. In this respect, RHD simulations are very important to achieving this aim.
引用
收藏
页数:14
相关论文
共 50 条
  • [21] Reflection of planetary waves in three-dimensional tropospheric flows
    Magnusdottir, G
    11TH CONFERENCE ON ATMOSPHERIC AND OCEANIC FLUID DYNAMICS, 1997, : 253 - 256
  • [22] Weighted reconstruction of three-dimensional refractive index in interferometric tomography
    Tomioka, Satoshi
    Nishiyama, Shusuke
    Miyamoto, Naoki
    Kando, Daichi
    Heshmat, Samia
    APPLIED OPTICS, 2017, 56 (24) : 6755 - 6764
  • [23] Multipass Interferometric ISAR for Three-Dimensional Space Target Reconstruction
    Yu, Xiang
    Wang, Zhuang
    Du, Xiaoyong
    Jiang, Libing
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 60
  • [24] Estimation of three-dimensional motion parameters in interferometric ISAR imaging
    Zhang, Q
    Yeo, TS
    Du, G
    Zhang, SH
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2004, 42 (02): : 292 - 300
  • [26] An interferometric CT technique for three-dimensional shock wave phenomena
    Honma, H
    Maeno, K
    Ishihara, M
    Yoshimura, T
    24TH INTERNATIONAL CONGRESS ON HIGH-SPEED PHOTOGRAPHY AND PHOTONICS, 2001, 4183 : 566 - 573
  • [27] Multiview Three-Dimensional Interferometric Inverse Synthetic Aperture Radar
    Salvetti, Federica
    Martorella, Marco
    Giusti, Elisa
    Stagliano, Daniele
    IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2019, 55 (02) : 718 - 733
  • [28] INTERFEROMETRIC TSAR THREE-DIMENSIONAL IMAGING USING ONE ANTENNA
    Liu, C. L.
    Gao, X. Z.
    Jiang, W. D.
    Li, X.
    PROGRESS IN ELECTROMAGNETICS RESEARCH M, 2011, 21 : 33 - 45
  • [29] Brain views that benefit from three-dimensional ultrasound
    Youssef, Aly
    Pilu, Gianluigi
    CURRENT OPINION IN OBSTETRICS & GYNECOLOGY, 2021, 33 (02) : 135 - 142
  • [30] Three-dimensional object recognition based on the combination of views
    Ullman, S
    COGNITION, 1998, 67 (1-2) : 21 - 44