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相关论文: EXOFAST: A fast exoplanetary fitting suite in IDL

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We present the next generation public exoplanet fitting software, EXOFASTv2. It is capable of fitting an arbitrary number of planets, radial velocity data sets, astrometric data sets, and/or transits observed with any combination of…

We introduce EXOFIT, a Bayesian tool for estimating orbital parameters of extrasolar planets from radial velocity measurements. EXOFIT can search for either one or two planets at present. EXOFIT employs Markov Chain Monte Carlo method…

太阳与恒星天体物理 · 物理学 2009-07-22 Sreekumar T. Balan , Ofer Lahav

Retrieval of orbital parameters of extrasolar planets poses considerable statistical challenges.Due to sparse sampling, measurement errors, parameters degeneracy and modelling limitations, there are no unique values of basic parameters,…

天体物理学 · 物理学 2009-11-13 Sreekumar T. Balan , Ofer Lahav

The ability for citizen scientists to analyze image data and search for exoplanets using images from small telescopes has the potential to greatly accelerate the search for exoplanets. Recent work on the Exoplanet Transit Interpretation…

地球与行星天体物理 · 物理学 2020-06-25 Sujay Nair , Jonathan Varghese , Kalée Tock

Useful information can be retrieved by analysing the transit light curve of a planet-hosting star or induced radial velocity oscillations. However, inferring the physical parameters of the planet, such as mass, size, and semi-major axis,…

地球与行星天体物理 · 物理学 2020-03-04 Andrea Bonfanti , Michaël Gillon

Precise radial velocity measurements have led to the discovery of ~170 extrasolar planetary systems. Understanding the uncertainties in the orbital solutions will become increasingly important as the discovery space for extrasolar planets…

天体物理学 · 物理学 2009-11-13 Eric B. Ford

The advent of high-contrast imaging instruments combined with medium-resolution spectrographs allows spectral and temporal dimensions to be combined with spatial dimensions to detect and potentially characterize exoplanets with higher…

地球与行星天体物理 · 物理学 2024-09-11 Rakesh Nath-Ranga , Olivier Absil , Valentin Christiaens , Emily O. Garvin

A significant fraction of an exoplanet transit model evaluation time is spent calculating projected distances between the planet and its host star. This is a relatively fast operation for a circular orbit, but slower for an eccentric one.…

地球与行星天体物理 · 物理学 2020-09-30 Hannu Parviainen , Judith Korth

We present the Exoplanet Simple Orbit Fitting Toolbox (ExoSOFT), a new, open-source suite to fit the orbital elements of planetary or stellar mass companions to any combination of radial velocity and astrometric data. To explore the…

天体物理仪器与方法 · 物理学 2017-11-13 Kyle Mede , Timothy D. Brandt

Markov Chain Monte Carlo (MCMC) proves to be powerful for Bayesian inference and in particular for exoplanet radial velocity fitting because MCMC provides more statistical information and makes better use of data than common approaches like…

天体物理仪器与方法 · 物理学 2014-01-30 Fengji Hou , Jonathan Goodman , David W. Hogg , Jonathan Weare , Christian Schwab

Characterizing the interior structure of exoplanets is essential for understanding their diversity, formation, and evolution. As the interior of exoplanets is inaccessible to observations, an inverse problem must be solved, where numerical…

地球与行星天体物理 · 物理学 2023-08-23 Philipp Baumeister , Nicola Tosi

We present an IDL graphical user interface-driven software package designed for the analysis of extrasolar planet transit light curves. The Transit Analysis Package (TAP) software uses Markov Chain Monte Carlo (MCMC) techniques to fit light…

地球与行星天体物理 · 物理学 2015-05-27 J. Zachary Gazak , John A. Johnson , John Tonry , Jason Eastman , Andrew W. Mann , Eric Agol

In this paper a homomorphic filtering scheme is proposed to improve the estimation of the planet/star radius ratio in astronomical transit signals. The idea is to reduce the effect of the short-term earth atmosphere variations. A two-step…

天体物理仪器与方法 · 物理学 2017-10-03 Rodrigo Mahu , Patricio Rojo , Ali Dehghan Firoozabadi , Ismael Soto , Elyar Sedaghati , Nestor Becerra Yoma

Transit timing variation (TTV) provides rich information about the mass and orbital properties of exoplanets, which are often obtained by solving an inverse problem via Markov Chain Monte Carlo (MCMC). In this paper, we design a new…

地球与行星天体物理 · 物理学 2024-09-10 Chen Chen , Lingkai Kong , Gongjie Li , Molei Tao

We update the ephemerides of 16 transiting exoplanets using our ground-based observations, new TESS data, and previously published observations including those of amateur astronomers. All these light curves were modeled by making use of a…

In this work, we propose a new flow-matching Markov chain Monte Carlo (FM-MCMC) algorithm for estimating the orbital parameters of exoplanetary systems, especially for those only one exoplanet is involved. Compared to traditional methods…

地球与行星天体物理 · 物理学 2025-11-10 Bo Liang , Hanlin Song , Chang Liu , Tianyu Zhao , Yuxiang Xu , Zihao Xiao , Manjia Liang , Minghui Du , Wei-Liang Qian , Li-e Qiang , Peng Xu , Ziren Luo

We present a database of well determined orbital parameters of exoplanets. This database comprises spectroscopic orbital elements measured for 427 planets orbiting 363 stars from radial velocity and transit measurements as reported in the…

Precise radial velocity measurements have led to the discovery of ~100 extrasolar planetary systems. We investigate the uncertainty in the orbital solutions that have been fit to these observations. Understanding these uncertainties will…

天体物理学 · 物理学 2011-05-05 Eric B. Ford

In this PhD dissertation, I discuss issues of the Radial Velocities (RV) and transit methods. These techniques allow us to derive the mass and radius of an exoplanet, necessary to model its bulk structure and to have insight on its…

地球与行星天体物理 · 物理学 2016-04-15 Giovanni Bruno

Transiting exoplanet parameter estimation from time-series photometry and Doppler spectroscopy is fundamental to study planets' internal structures and compositions. Here we present the code pyaneti, a powerful and user-friendly software…

地球与行星天体物理 · 物理学 2018-09-19 O. Barragán , D. Gandolfi , G. Antoniciello
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