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Related papers: A Gaussian process framework for modelling stellar…

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The last two decades have seen a major expansion in the availability, size, and precision of time-domain datasets in astronomy. Owing to their unique combination of flexibility, mathematical simplicity and comparative robustness, Gaussian…

Instrumentation and Methods for Astrophysics · Physics 2022-11-11 Suzanne Aigrain , Daniel Foreman-Mackey

In this note we present the starry_process code, which implements an interpretable Gaussian process (GP) for modeling variability in stellar light curves. As dark starspots rotate in and out of view, the total flux received from a distant…

Solar and Stellar Astrophysics · Physics 2021-02-10 Rodrigo Luger , Daniel Foreman-Mackey , Christina Hedges

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…

Earth and Planetary Astrophysics · Physics 2020-02-12 S. C. C. Barros , O. Demangeon , R. F. Díaz , J. Cabrera , N. C. Santos , J. P. Faria , F. Pereira

Stellar activity mitigation is one of the major challenges for the detection of earth-like exoplanets in radial velocity (RV) measurements. Several promising techniques are now investigating the use of spectral time-series, to differentiate…

Solar and Stellar Astrophysics · Physics 2023-03-01 Yinan Zhao , Xavier Dumusque

Stellar activity induces apparent radial velocity (RV) variations in late-type main-sequence stars that may hamper the detection of low-mass planets and the measurement of their mass. We use simultaneous measurements of the active planet…

Solar and Stellar Astrophysics · Physics 2015-05-28 A. F. Lanza , I. Boisse , F. Bouchy , A. S. Bonomo , C. Moutou

The discovery and characterization of extrasolar planets using radial velocity (RV) measurements is limited by noise sources from the surfaces of host stars. Current techniques to suppress stellar magnetic activity rely on decorrelation…

Solar and Stellar Astrophysics · Physics 2022-05-18 Jared C. Siegel , Ryan A. Rubenzahl , Samuel Halverson , Andrew W. Howard

Detecting planetary signatures in radial velocity time-series of young stars is challenging due to their inherently strong stellar activity. However, it is possible to learn information about the properties of the stellar signal by using…

The radial velocity (RV) technique is a powerful tool for detecting extrasolar planets and deriving mass detection limits that are useful for constraining planet pulsations and formation models. Detection limit methods must take into…

Earth and Planetary Astrophysics · Physics 2015-06-05 Nadège Meunier , Anne-Marie Lagrange , Katrien De Bondt

Stellar activity is the main limitation to the detection of Earth-twins using the RV technique. Despite many efforts in trying to mitigate the effect of stellar activity using empirical and statistical techniques, it seems that we are…

Solar and Stellar Astrophysics · Physics 2018-12-05 Xavier Dumusque

Atmospheric retrievals are essential tools for interpreting exoplanet transmission and eclipse spectra, enabling quantitative constraints on the chemical composition, aerosol properties, and thermal structure of planetary atmospheres. The…

Earth and Planetary Astrophysics · Physics 2025-08-19 Yoav Rotman , Luis Welbanks , Michael R. Line , Peter McGill , Michael Radica , Matthew C. Nixon

Variability in the light curves of spotted, rotating stars is often non-sinusoidal and quasi-periodic --- spots move on the stellar surface and have finite lifetimes, causing stellar flux variations to slowly shift in phase. A strictly…

Solar and Stellar Astrophysics · Physics 2017-12-27 Ruth Angus , Timothy Morton , Suzanne Aigrain , Daniel Foreman-Mackey , Vinesh Rajpaul

The detection of small exoplanets with the radial velocity (RV) technique is limited by various poorly known noise sources of instrumental and stellar origin. As a consequence, current detection techniques often fail to provide reliable…

Earth and Planetary Astrophysics · Physics 2022-11-16 S. Sulis , D. Mary , L. Bigot , M. Deleuil

In many areas of the observational and experimental sciences data is scarce. Data observation in high-energy astrophysics is disrupted by celestial occlusions and limited telescope time while data derived from laboratory experiments in…

Machine Learning · Statistics 2023-03-28 Ryan-Rhys Griffiths

Gaussian processes (GPs) are popular nonparametric statistical models for learning unknown functions and quantifying the spatiotemporal uncertainty in data. Recent works have extended GPs to model scalar and vector quantities distributed…

The effect of stellar activity on RV appears to be a limiting factor in detecting Earth-mass planets in the habitable zone of a star similar to the Sun in spectral type and activity level. It is crucial to estimate if this conclusion remain…

Solar and Stellar Astrophysics · Physics 2019-09-09 Nadège Meunier , Anne-Marie Lagrange

With dedicated exoplanet surveys underway for multiple extreme precision radial velocity (EPRV) instruments, the near-future prospects of RV exoplanet science are promising. These surveys' generous time allocations are expected to…

Earth and Planetary Astrophysics · Physics 2024-06-26 Arvind F. Gupta , Megan Bedell

This article shortly introduces Gaussian processes (GP) as a new approach for modelling time series in the field of blazar physics. In the second part of the paper, recent results from an application of GP modelling to the multi-wavelength…

High Energy Astrophysical Phenomena · Physics 2017-03-08 V. Karamanavis

One of the main obstacles in exoplanet detection when using the radial velocity (RV) technique is the presence of stellar activity signal induced by magnetic regions. In this context, a realistic simulated dataset that can provide…

Solar and Stellar Astrophysics · Physics 2025-01-29 Yinan Zhao , Xavier Dumusque , Michael Cretignier , Khaled Al Moulla , Momo Ellwarth , Ansgar Reiners , Alessandro Sozzetti

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…

Methodology · Statistics 2020-10-02 Hossein Mohammadi , Peter Challenor , Marc Goodfellow , Daniel Williamson

Gaussian Processes (GPs) provide a flexible and statistically principled foundation for modelling spatiotemporal phenomena, but their $O(N^3)$ scaling makes them intractable for large datasets. Approximate methods such as variational…

Machine Learning · Statistics 2026-04-01 Jhonathan Navott , Daniel Jenson , Seth Flaxman , Elizaveta Semenova