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相关论文: Toward Extremely Precise Radial Velocities: II. A …

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Tens of thousands of solar-like oscillating stars have been observed by space missions. Their photometric variability in the Fourier domain can be parameterized by a sum of two super-Lorentizian functions for granulation and a…

太阳与恒星天体物理 · 物理学 2022-02-15 Zhao Guo , Eric B. Ford , Dennis Stello , Jacob K. Luhn , Suvrath Mahadevan , Arvind F. Gupta , Jie Yu

The radial velocity (RV) method, also known as Doppler spectroscopy, is a powerful technique for exoplanet discovery and characterization. In recent years, progress has been made thanks to the improvements in the quality of spectra from new…

地球与行星天体物理 · 物理学 2026-01-06 Joseph Salzer , Jessi Cisewski-Kehe , Eric B. Ford , Lily L. Zhao

Gaussian process regression is a widespread tool used to mitigate stellar correlated noise in radial velocity time series. It is particularly useful to search for and determine the properties of signals induced by small-size, low-mass…

地球与行星天体物理 · 物理学 2019-08-21 M. Damasso , M. Pinamonti , G. Scandariato , A. Sozzetti

Ongoing ground-based radial-velocity observations seeking to detect circumbinary planets focus on single-lined binaries even though over nine in every ten binary systems in the solar-neighbourhood are double-lined. Double-lined binaries are…

The Gaussian process (GP) is a widely used probabilistic machine learning method with implicit uncertainty characterization for stochastic function approximation, stochastic modeling, and analyzing real-world measurements of nonlinear…

机器学习 · 统计学 2026-04-14 Mark D. Risser , Marcus M. Noack , Hengrui Luo , Ronald Pandolfi

Although instruments for measuring the radial velocities (RVs) of stars now routinely reach sub-meter per second accuracy, the detection of low-mass planets is still very challenging. The rotational modulation and evolution of spots and/or…

地球与行星天体物理 · 物理学 2024-01-12 Haochuan Yu , Suzanne Aigrain , Baptiste Klein , Oscar Barragán , Annelies Mortier , Niamh K. O'Sullivan , Michael Cretignier

By controlling instrumental errors to below 10 cm/s, the EXtreme PREcision Spectrograph (EXPRES) allows for a more insightful study of photospheric velocities that can mask weak Keplerian signals. Gaussian Processes (GP) have become a…

Stellar active regions like spots and faculae can distort the shapes of spectral lines, inducing variations in the radial velocities that are often orders of magnitude larger than the signals from Earth-like planets. Efforts to mitigate…

地球与行星天体物理 · 物理学 2024-10-17 Haochuan Yu , Suzanne Aigrain , Baptiste Klein , Michael Cretignier , Florian Lienhard , Stephen J. Roberts

Despite their promise and ubiquity, Gaussian processes (GPs) can be difficult to use in practice due to the computational impediments of fitting and sampling from them. Here we discuss a short R package for efficient multivariate normal…

统计计算 · 统计学 2015-07-23 Giri Gopalan , Luke Bornn

In many real-world applications we are interested in approximating costly functions that are analytically unknown, e.g. complex computer codes. An emulator provides a fast approximation of such functions relying on a limited number of…

统计方法学 · 统计学 2020-10-02 Hossein Mohammadi , Peter Challenor , Marc Goodfellow , Daniel Williamson

Many of the planets discovered via the radial velocity technique are hot Jupiters in 3-5 day orbits with ~10$% chance of transiting their parent star. However, radial velocity surveys for extra-solar planets generally require substantial…

天体物理学 · 物理学 2007-05-23 Stephen R. Kane , Jian Ge

Precise radial velocity (RV) measurements are a crucial tool for exoplanet discovery and characterization. Today, the majority of these measurements are derived from Echelle spectra in the optical wavelength region using cross-correlation…

Owing to recent advances in radial-velocity instrumentation and observation techniques, the detection of Earth-mass planets around Sun-like stars may soon be primarily limited by intrinsic stellar variability. Several processes contribute…

Stellar activity due to different processes (magnetic activity, photospheric flows) affects the measurement of radial velocities (RV). Radial velocities have been widely used to detect exoplanets, although the stellar signal significantly…

太阳与恒星天体物理 · 物理学 2021-04-14 Nadège Meunier

Precision radial velocity (RV) measurements continue to be a key tool to detect and characterise extrasolar planets. While instrumental precision keeps improving, stellar activity remains a barrier to obtain reliable measurements below 1-2…

New photometric space missions to detect and characterise transiting exoplanets are focusing on bright stars to obtain high cadence, high signal-to-noise light curves. Since these missions will be sensitive to stellar oscillations and…

地球与行星天体物理 · 物理学 2020-02-12 S. C. C. Barros , O. Demangeon , R. F. Díaz , J. Cabrera , N. C. Santos , J. P. Faria , F. Pereira

Observations of exoplanet atmospheres in high resolution have the potential to resolve individual planetary absorption lines, despite the issues associated with ground-based observations. The removal of contaminating stellar and telluric…

地球与行星天体物理 · 物理学 2022-03-18 Annabella Meech , Suzanne Aigrain , Matteo Brogi , Jayne Birkby

Just as the ordinary Doppler effect serves as a tool to measure radial velocities of celestial objects, so can the relativistic Doppler effect be implemented to measure a combination of radial and transverse velocities by using recent…

天体物理学 · 物理学 2016-01-13 Leonid M. Ozernoy

With the large amounts of spectroscopic data available today and the very large surveys to come (e.g. Gaia), the need for automatic data analysis software is unquestionable. We thus developed an automatic spectra analysis program for the…

Accounting for stellar activity is a crucial component of the search for ever-smaller planets orbiting stars of all spectral types. We use Doppler imaging methods to demonstrate that starspot induced radial velocity variability can be…

太阳与恒星天体物理 · 物理学 2017-01-18 J. R. Barnes , S. V. Jeffers , G. Anglada-Escude , C. A. Haswell , H. R. A. Jones , M. Tuomi , F. Feng , J. S. Jenkins , P. Petit