Exposure-integrated Gaussian processes allow prediction of both latent stellar signals and instrument-specific binned versions, supporting combination of overlapping EPRV datasets with varying exposure times.
S., Leifer, S., et al
7 Pith papers cite this work, alongside 2 external citations. Polarity classification is still indexing.
7
Pith papers citing it
2
external citations · Pith
abstract
Precise mass measurements of exoplanets discovered by the direct imaging or transit technique are required to determine planet bulk properties and potential habitability. Furthermore, it is generally acknowledged that, for the foreseeable future, the Extreme Precision Radial Velocity (EPRV) measurement technique is the only method potentially capable of detecting and measuring the masses and orbits of habitable-zone Earths orbiting nearby F, G, and K spectral-type stars from the ground. In particular, EPRV measurements with a precision of better than approximately 10 cm/s (with a few cm/s stability over many years) are required. Unfortunately, for nearly a decade, PRV instruments and surveys have been unable to routinely reach RV accuracies of less than roughly 1 m/s. Making EPRV science and technology development a critical component of both NASA and NSF program plans is crucial for reaching the goal of detecting potentially habitable Earthlike planets and supporting potential future exoplanet direct imaging missions such as the Habitable Exoplanet Observatory (HabEx) or the Large Ultraviolet Optical Infrared Surveyor (LUVOIR). In recognition of these facts, the 2018 National Academy of Sciences (NAS) Exoplanet Science Strategy (ESS) report recommended the development of EPRV measurements as a critical step toward the detection and characterization of habitable, Earth-analog planets. In response to the NAS-ESS recommendation, NASA and NSF commissioned the EPRV Working Group to recommend a ground-based program architecture and implementation plan to achieve the goal intended by the NAS. This report documents the activities, findings, and recommendations of the EPRV Working Group.
representative citing papers
SRA-derived photospheric activity indicators track stellar RV variability up to a factor of two better than classical proxies like logR'HK across 14 G/K stars.
FLARES iterative line-selection algorithm achieves 1.122 m/s RV RMS using 24 lines on 383 days of NEID solar data, better than full list or CCF.
Deep neural networks using temperature-based spectral representations recover planetary Doppler signals with amplitudes of at least 25 cm/s from HARPS-N solar spectra under cross-validation.
3D simulations of strongly magnetic solar granulation reveal convective redshifts in absorption lines, originating from hot down-moving elements created by shocks and adiabatic compression in magnetically channeled flows.
A spatial-variability proxy method applied to MURaM and MPS-ATLAS simulations of the Sun reveals stronger line-strength variations in neutral-element lines and larger central-wavelength shifts in singly-ionized lines.
Multi-method spectroscopic analysis of 585 FGK dwarfs shows parameter scatters larger than internal errors, inducing sub-5% fractional uncertainties on derived exoplanet radius and mass.
citing papers explorer
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Exposure-averaged Gaussian Processes for Combining Overlapping Datasets
Exposure-integrated Gaussian processes allow prediction of both latent stellar signals and instrument-specific binned versions, supporting combination of overlapping EPRV datasets with varying exposure times.
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Spectral Ratio Analysis: probing of a new suite of stellar activity indicators as a tool for astrophysical noise mitigation
SRA-derived photospheric activity indicators track stellar RV variability up to a factor of two better than classical proxies like logR'HK across 14 G/K stars.
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Improving the Precision of Line-by-Line Radial Velocities: A Data-Driven Iterative Algorithm for Spectral Line Selection
FLARES iterative line-selection algorithm achieves 1.122 m/s RV RMS using 24 lines on 383 days of NEID solar data, better than full list or CCF.
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Modeling Doppler Shifts in Radial-Velocity Data with Deep Learning toward Earth-mass Exoplanet Detection
Deep neural networks using temperature-based spectral representations recover planetary Doppler signals with amplitudes of at least 25 cm/s from HARPS-N solar spectra under cross-validation.
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Solar photospheric spectrum microvariability III. Radial velocities and line profiles in magnetic active-region granulation
3D simulations of strongly magnetic solar granulation reveal convective redshifts in absorption lines, originating from hot down-moving elements created by shocks and adiabatic compression in magnetically channeled flows.
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Sensitivity of spectral lines to granulation: The Sun
A spatial-variability proxy method applied to MURaM and MPS-ATLAS simulations of the Sun reveals stronger line-strength variations in neutral-element lines and larger central-wavelength shifts in singly-ionized lines.
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gr8stars II : judgement day for spectroscopic parameter model systematics
Multi-method spectroscopic analysis of 585 FGK dwarfs shows parameter scatters larger than internal errors, inducing sub-5% fractional uncertainties on derived exoplanet radius and mass.