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Related papers: ARVE: Analyzing Radial Velocity Elements. I. The C…

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Variable screening methods have been shown to be effective in dimension reduction under the ultra-high dimensional setting. Most existing screening methods are designed to rank the predictors according to their individual contributions to…

Methodology · Statistics 2022-02-08 Ye Tian , Yang Feng

Abstract visual reasoning (AVR) domain encompasses problems solving which requires the ability to reason about relations among entities present in a given scene. While humans, generally, solve AVR tasks in a "natural" way, even without…

Artificial Intelligence · Computer Science 2025-02-24 Mikołaj Małkiński , Jacek Mańdziuk

The derivation of radial velocities from large numbers of spectra that typically result from survey work, requires automation. However, except for the classical cases of slowly rotating late-type spectra, existing methods of measuring…

Instrumentation and Methods for Astrophysics · Physics 2014-05-20 M. David , R. Blomme , Y. Frémat , Y. Damerdji , C. Delle Luche , E. Gosset , D. Katz , Y. Viala

This work assesses the potential capability of the next generation of high-precision Radial Velocity (RV) instruments for Earth-twin exoplanet detection. From the perspective of the importance of data sampling, the Terra Hunting Experiment…

Earth and Planetary Astrophysics · Physics 2018-06-13 Richard D. Hall , Samantha J. Thompson , Will Handley , Didier Queloz

Context. As increasingly more spectroscopic data are being delivered by medium- and high-resolving power multi-object spectrographs, more automatic stellar parameter determination softwares are being developed. The quality of the spectra…

Solar and Stellar Astrophysics · Physics 2012-09-04 Helene Posbic , David Katz , Elisabetta Caffau , Piercarlo Bonifacio , Ana Gomez , Luca Sbordone , Frederic Arenou

Stellar magnetic activity produces time-varying distortions in the photospheric line profiles of solar-type stars. These lead to systematic errors in high-precision radial-velocity measurements, which limit efforts to discover and measure…

Stellar variability is a key obstacle in reaching the sensitivity required to recover Earth-like exoplanetary signals using the radial velocity (RV) detection method. To explore activity signatures in Sun-like stars, we present SolAster, a…

By integrating dynamics models into model-free reinforcement learning (RL) methods, model-based value expansion (MVE) algorithms have shown a significant advantage in sample efficiency as well as value estimation. However, these methods…

Machine Learning · Computer Science 2019-12-12 Bo Zhou , Hongsheng Zeng , Fan Wang , Yunxiang Li , Hao Tian

Stellar magnetic activity induces both distortions and Doppler-shifts in the absorption line profiles of Sun-like stars. Those effects produce apparent radial velocity (RV) signals which greatly hamper the search for potentially habitable,…

The Kepler mission has provided high-accurate photometric data in a long time span for more than two hundred thousands stars, looking for planetary transits. Among the detected candidates, the planetary nature of around 15% has been…

Earth and Planetary Astrophysics · Physics 2015-04-15 J. Lillo-Box , D. Barrado , L. Mancini , Th. Henning , P. Figueira , S. Ciceri , N. Santos

Precision radial velocity (RV) measurements in the near-infrared are a powerful tool to detect and characterize exoplanets around low-mass stars or young stars with higher magnetic activity. However, the presence of strong telluric…

*Context: The optimisation of new multiplex spectrographs (resolution, wavelength range,...), their associated surveys (choice of setup), or their parameterisation pipelines require methods that estimate which wavelengths contain useful…

Instrumentation and Methods for Astrophysics · Physics 2023-06-14 Georges Kordopatis , Vanessa Hill , Karin Lind

We present a deep-learning based approach for measuring small planetary radial velocities in the presence of stellar variability. We use neural networks to reduce stellar RV jitter in three years of HARPS-N sun-as-a-star spectra. We develop…

Earth and Planetary Astrophysics · Physics 2023-05-10 Ian Colwell , Virisha Timmaraju , Alexander Wise

The detection of exoplanets with the radial velocity method consists in detecting variations of the stellar velocity caused by an unseen sub-stellar companion. Instrumental errors, irregular time sampling, and different noise sources…

Earth and Planetary Astrophysics · Physics 2023-09-06 L. A. Nieto , R. F. Díaz

We present a novel analysis of the metal-poor star sample in the complete Radial Velocity Experiment (RAVE) Data Release 5 catalog with the goal of identifying and characterizing all very metal-poor stars observed by the survey. Using a…

High resolution observations of the asteroids Iris and Juno have been performed by means of the UVES spectrograph at the ESO VLT to obtain the effective accurac y of the spectrograph's radial velocity. The knowledge of this quantity has…

Astrophysics · Physics 2009-11-13 P. Molaro , S. A. Levshakov , S. Monai , M. Centurion , P. Bonifacio , S. D'Odorico , L. Monaco

Context. Although the new generation of radial-velocity (RV) instruments such as ESPRESSO are expected to reach the long-term precision required to find other earths, the RV measurements are contaminated by some signal from stellar…

Earth and Planetary Astrophysics · Physics 2020-01-15 M. Cretignier , X. Dumusque , R. Allart , F. Pepe , C. Lovis

Context. Radial velocities (RVs) of stars contain both the Doppler reflex motion of potential planetary companions and the drowning and sometimes imitating effect of stellar activity. To separate the two, previous efforts have sought for…

Solar and Stellar Astrophysics · Physics 2023-12-19 K. Al Moulla , X. Dumusque , M. Cretignier

Visual reasoning models (VRMs) have recently shown strong cross-modal reasoning capabilities by integrating visual perception with language reasoning. However, they often suffer from overthinking, producing unnecessarily long reasoning…

Computer Vision and Pattern Recognition · Computer Science 2026-04-17 Yixu Huang , Tinghui Zhu , Muhao Chen

Here we propose the Reweighted Autoencoded Variational Bayes for Enhanced Sampling (RAVE) method, a new iterative scheme that uses the deep learning framework of variational autoencoders to enhance sampling in molecular simulations. RAVE…

Chemical Physics · Physics 2018-02-13 Joao Marcelo Lamim Ribeiro , Pablo Bravo Collado , Yihang Wang , Pratyush Tiwary
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