Authors: S.Grouffal, A.Santerne, N.C. Hara, I.Boisse, S.Coez, N.Heidari, S.Sulis

Published on: April 26, 2024

Impact Score: 6.8

Arxiv code: Arxiv:2404.17282

Summary

• What is new: A new method for correcting NZP variations in radial-velocity time series using Gaussian Processes and ancillary data.
• Why this is important: Temporal variations in the reference velocity of high precision spectrographs aren’t fully accounted for with current methods.
• What the research proposes: Using Gaussian Processes and ancillary data (like internal pressure and temperature) to model NZP variations and propagate uncertainties.
• Results: Effectively models the red noise of constant stars, improves detection false-alarm probability, and increases detection of small amplitude radial velocity signals by up to 10%.

Technical Details

Technological frameworks used: Gaussian Processes

Models used: Radial-velocity time series correction

Data used: Housekeeping data (internal pressure, temperature)

Potential Impact

Astronomical equipment manufacturers, observatories, space agencies, and related analytical software providers.

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