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The radial velocity method is one of the most successful techniques for detecting exoplanets. It works by detecting the velocity of a host star induced by the gravitational effect of an orbiting planet, specifically the velocity along our…

Instrumentation and Methods for Astrophysics · Physics 2020-08-26 David E. Jones , David C. Stenning , Eric B. Ford , Robert L. Wolpert , Thomas J. Loredo , Christian Gilbertson , Xavier Dumusque

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…

Solar and Stellar Astrophysics · Physics 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

Gaia mission will offer an exceptional opportunity to perform variability studies. The data homogeneity, its optimised photometric systems, composed of 11 medium and 4-5 broad bands, the high photometric precision in G band of one milli-mag…

Astrophysics · Physics 2007-05-23 Laurent Eyer

A central aspect of every pulsed radar signal processor is the targets Range-Doppler estimation within a Coherent Processing Interval. Conventional methods typically rely on simplifying assumptions, such as linear target motion, narrowband…

Signal Processing · Electrical Eng. & Systems 2026-04-24 Nadav Neuberger , Simon Kollecker , Martin Kaeske

We present a novel 3D odometry method that recovers the full motion of a vehicle only from a Doppler-capable range sensor. It leverages the radial velocities measured from the scene, estimating the sensor's velocity from a single scan. The…

The detection of planets around other stars by the measurement of the stellar Radial Velocity (RV) variations benefits from improvements of dedicated spectrographs, allowing to achieve a precision of 1 ms$^{-1}$ or better. Spectral…

Earth and Planetary Astrophysics · Physics 2023-05-10 A. Ivanova , R. Lallement , J. L. Bertaux

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…

Earth and Planetary Astrophysics · Physics 2016-04-15 Giovanni Bruno

Gaia's Radial Velocity Spectrometer (RVS) has been operating in routine phase for over one year since initial commissioning. RVS continues to work well but the higher than expected levels of straylight reduce the limiting magnitude. The…

General requirements for radar digital signal processing are ionospheric distortion and Doppler dispersion correction, which has historically required radar-specific hardware to implement in real time. Although analog solutions are…

Signal Processing · Electrical Eng. & Systems 2025-09-30 Daniel J. Vickers , A. H. Mack , Idahosa A. Osaretin

We describe a detailed radial velocity error budget for the NASA-NSF Extreme Precision Doppler Spectrometer instrument concept NEID (NN-explore Exoplanet Investigations with Doppler spectroscopy). Such an instrument performance budget is a…

The Large Sky Area Multi-Object Fiber Spectroscopic Telescope (LAMOST) started median-resolution spectroscopic (MRS, R$\sim$7500) survey since October 2018. The main scientific goals of MRS, including binary stars, pulsators, and other…

Solar and Stellar Astrophysics · Physics 2021-12-08 Jianping Xiong , Bo Zhang , Chao Liu , Jiao Li , Yongheng Zhao , Yonghui Hou

This chapter describes briefly the key aspects behind the derivation of precise radial velocities. I start by defining radial velocity precision in the context of astrophysics in general and exoplanet searches in particular. Next I discuss…

Earth and Planetary Astrophysics · Physics 2017-11-23 Pedro Figueira

I concisely review the history, applications, and recent developments pertaining to radial velocity (RV) observations of classical pulsating stars. The focus lies on type-I (classical) Cepheids, although the historical overview and most…

Solar and Stellar Astrophysics · Physics 2018-02-09 Richard I. Anderson

To accurately estimate locations and velocities of surrounding targets (cars) is crucial for advanced driver assistance systems based on radar sensors. In this paper we derive methods for fusing data from multiple radar sensors in order to…

Signal Processing · Electrical Eng. & Systems 2019-08-08 Bin Zhu , Augusto Ferrante , Johan Karlsson , Mattia Zorzi

We investigate the problem of localizing multiple targets using a single set of measurements from a network of radar sensors. Such "single snapshot imaging" provides timely situational awareness, but can utilize neither platform motion, as…

Signal Processing · Electrical Eng. & Systems 2024-10-01 Anant Gupta , Ahmet Dundar Sezer , Upamanyu Madhow

Solar contamination, due to moonlight and atmospheric scattering of sunlight, can cause systematic errors in stellar radial velocity (RV) measurements that significantly detract from the ~10cm/s sensitivity required for the detection and…

The RVS instrument aboard GAIA is a slitless spectrograph, so some spectral tracing overlap is inevitable. We show that this background can be accurately modeled and subtracted. Radial velocity accuracy is not degraded significantly unless…

Astrophysics · Physics 2007-05-23 Tomaz Zwitter

Radio maps find numerous applications in wireless communications and mobile robotics tasks, including resource allocation, interference coordination, and mission planning. Although numerous techniques have been proposed to construct radio…

Signal Processing · Electrical Eng. & Systems 2022-01-14 Raju Shrestha , Daniel Romero , Sundeep Prabhakar Chepuri

We present a precise and complete procedure for processing spectral data observed by the 1-meter New Vacuum Solar Telescope (NVST). The procedure is suitable for both the sit-and-stare and raster-scan spectra. In this work, the geometric…

Solar and Stellar Astrophysics · Physics 2017-10-18 Yunfang Cai , Zhi Xu , Zhenggang Li , Yongyuan Xiang , Yuchao Chen , Yu Fu , Kaifan Ji
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