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相关论文: Kepler data analysis: non-Gaussian noise and Fouri…

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An earlier study of the Kepler Mission noise properties on time scales of primary relevance to detection of exoplanet transits found that higher than expected noise followed to a large extent from the stars, rather than instrument or data…

太阳与恒星天体物理 · 物理学 2015-10-14 Ronald L. Gilliland , William J. Chaplin , Jon M. Jenkins , Lawrence W. Ramsey , Jeffrey C. Smith

Pulsar-timing datasets have been analyzed with great success using probabilistic treatments based on Gaussian distributions, with applications ranging from studies of neutron-star structure to tests of general relativity and searches for…

天体物理仪器与方法 · 物理学 2017-02-01 Michele Vallisneri , Rutger van Haasteren

The analysis of photometric time series in the context of transiting planet surveys suffers from the presence of stellar signals, often dubbed "stellar noise". These signals, caused by stellar oscillations and granulation, can usually be…

The detection of terrestrial planets by radial velocity and photometry is hindered by the presence of stellar signals. Those are often modeled as stationary Gaussian processes, whose kernels are based on qualitative considerations, which do…

太阳与恒星天体物理 · 物理学 2025-04-23 Nathan C. Hara , Jean-Baptiste Delisle

We present the first results of the application of supervised classification methods to the Kepler Q1 long-cadence light curves of a subsample of 2288 stars measured in the asteroseismology program of the mission. The methods, originally…

The study of exoplanetary atmospheres epitomises a continuous quest for higher accuracy measurements. Systematic effects and noise associated with both the stellar activity and the instrument can bias the results and thus limit the…

地球与行星天体物理 · 物理学 2014-01-03 C. Danielski , T. Kacprzak , G. Tinetti , P. Jagoda

Kepler Mission results are rapidly contributing to fundamentally new discoveries in both the exoplanet and asteroseismology fields. The data returned from Kepler are unique in terms of the number of stars observed, precision of photometry…

We introduce a method for performing a robust Bayesian analysis of non-Gaussianity present in pulsar timing data, simultaneously with the pulsar timing model, and additional stochastic parameters such as those describing red spin noise and…

天体物理仪器与方法 · 物理学 2014-09-19 Lindley Lentati , Michael P. Hobson , Paul Alexander

There are more than 5000 confirmed and validated planets beyond the solar system to date, more than half of which were discovered by NASA's Kepler mission. The catalog of Kepler's exoplanet candidates has only been extensively analyzed…

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

Pulsars are known to display short-term variability. Recently, examples of longer-term emission variability have emerged that are often correlated with changes in the rotational properties of the pulsar. To further illuminate this…

高能天体物理现象 · 物理学 2016-01-27 P. R. Brook , A. Karastergiou , S. Johnston , M. Kerr , R. M. Shannon , S. J. Roberts

We present the results of an automated variability analysis of the Kepler public data measured in the first quarter (Q1) of the mission. In total, about 150 000 light curves have been analysed to detect stellar variability, and to identify…

太阳与恒星天体物理 · 物理学 2015-05-27 J. Debosscher , J. Blomme , C. Aerts , J. De Ridder

Gaussian process regression in its most simplified form assumes normal homoscedastic noise and utilizes analytically tractable mean and covariance functions of predictive posterior distribution using Gaussian conditioning. Its…

应用统计 · 统计学 2023-01-20 Pooja Algikar , Lamine Mili

We present a simple and powerful method for extracting transit signals associated with a known transiting planet from noisy light curves. Assuming the orbital period of the planet is known and the signal is periodic, we illustrate that…

地球与行星天体物理 · 物理学 2015-07-09 Johan Samsing

The detection and characterisation of Earth-like planets with Doppler signals of the order of 1 m/s currently represent one of the greatest challenge for extrasolar-planet hunters. As results for such findings are often controversial, it is…

地球与行星天体物理 · 物理学 2017-03-15 M. Damasso , F. Del Sordo

We present a theoretical background for the data analysis of the gravitational-wave signals from spinning neutron stars for Earth-based laser interferometric detectors. We introduce a detailed model of the signal including both the…

广义相对论与量子宇宙学 · 物理学 2009-12-30 Piotr Jaranowski , Andrzej Królak , Bernard F. Schutz

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…

太阳与恒星天体物理 · 物理学 2017-12-27 Ruth Angus , Timothy Morton , Suzanne Aigrain , Daniel Foreman-Mackey , Vinesh Rajpaul

Transmission spectroscopy, which consists of measuring the wavelength-dependent absorption of starlight by a planet's atmosphere during a transit, is a powerful probe of atmospheric composition. However, the expected signal is typically…

地球与行星天体物理 · 物理学 2015-05-30 N. P. Gibson , S. Aigrain , S. Roberts , T. M. Evans , M. Osborne , F. Pont

With the unprecedented photometric precision of the Kepler Spacecraft, significant systematic and stochastic errors on transit signal levels are observable in the Kepler photometric data. These errors, which include discontinuities,…

The use of Gaussian processes (GPs) is a common approach to account for correlated noise in exoplanet time series, particularly for transmission and emission spectroscopy. This analysis has typically been performed for each wavelength…

地球与行星天体物理 · 物理学 2024-06-05 Mark Fortune , Neale P. Gibson , Daniel Foreman-Mackey , Thomas M. Evans-Soma , Cathal Maguire , Swaetha Ramkumar
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