Scheduling strategies for the ESPRESSO follow-up of TESS targets

Abstract

Radial-velocity follow-up of stars harbouring transiting planets detected by TESS is expected to require very large amounts of expensive telescope time in the next few years. Therefore, scheduling strategies should be implemented to maximize the amount of information gathered about the target planetary systems. We consider myopic and non-myopic versions of a novel uniform-in-phase scheduler, as well as a random scheduler, and compare these scheduling strategies with respect to the bias, accuracy and precision achieved in recovering the mass and orbital parameters of transiting and non-transiting planets. This comparison is carried out based on realistic simulations of radial-velocity follow-up with ESPRESSO of a sample of 50 TESS target stars, with simulated planetary systems containing at least one transiting planet with a radius below $4R_{\oplus }$. Radial-velocity datasets were generated under reasonable assumptions about their noise component, including that resulting from stellar activity, and analysed using a fully Bayesian methodology. We find the random scheduler leads to a more biased, less accurate, and less precise, estimation of the mass of the transiting exoplanets. No significant differences are found between the results of the myopic and non-myopic implementations of the uniform-in-phase scheduler. With only about 22 radial velocity measurements per dataset, our novel uniform-in-phase scheduler enables an unbiased (at the level of 1\%) measurement of the masses of the transiting planets, while keeping the average relative accuracy and precision around 16\% and 23\% respectively. The number of non-transiting planets detected is similar for all the scheduling strategies considered, as well as the bias, accuracy and precision with which their masses and orbital parameters are recovered.

arXiv comment20 pages, 11 figures, 6 tables. Accepted by MNRAS

References in corpus (41)

• Gaia Data Release 2. Summary of the contents and survey properties
• Gaia Data Release 1. Summary of the astrometric, photometric, and survey properties
• The false positive rate of Kepler and the occurrence of planets
• The Occurrence and Architecture of Exoplanetary Systems
• Rotation Periods of 34,030 Kepler Main-Sequence Stars: The Full Autocorrelation Sample
• Probabilistic Forecasting of the Masses and Radii of Other Worlds
• ESPRESSO@VLT -- On-sky performance and first results
• Planets and Stellar Activity: Hide and Seek in the CoRoT-7 system
• Can we constrain interior structure of rocky exoplanets from mass and radius measurements?
• Parametrizing the exoplanet eccentricity distribution with the Beta distribution
• A Revised Exoplanet Yield from the Transiting Exoplanet Survey Satellite (TESS)
• Planetary detection limits taking into account stellar noise. I. Observational strategies to reduce stellar oscillation and granulation effects
• Probabilistic Mass-Radius Relationship for Sub-Neptune-Sized Planets
• The orbital eccentricity of small planet systems
• Inferring probabilistic stellar rotation periods using Gaussian processes
• Kepler-21b: A rocky planet around a V = 8.25 magnitude star
• Detecting extrasolar planets from stellar radial velocities using Bayesian evidence
• Uncovering the planets and stellar activity of CoRoT-7 using only radial velocities
• Characterization of the K2-18 multi-planetary system with HARPS: A habitable zone super-Earth and discovery of a second, warm super-Earth on a non-coplanar orbit
• Bayesian analysis of radial velocity data of GJ667C with correlated noise: evidence for only 2 planets
• Bayesian priors for the eccentricity of transiting planets
• Radial Velocity Fitting Challenge. I. Simulating the data set including realistic stellar radial-velocity signals
• Adaptive Scheduling Algorithms for Planet Searches
• kima: Exoplanet detection in radial velocities
• Predicting Exoplanets Mass and Radius: A Nonparametric Approach
• Mass-Radius relationship for M dwarf exoplanets: Comparing nonparametric and parametric methods
• Fast Bayesian Inference for Exoplanet Discovery in Radial Velocity Data
• Estimating Stellar Radial Velocity Variability from Kepler and GALEX: Implications for the Radial Velocity Confirmation of Exoplanets
• Revisiting the Long-Period Transiting Planets from Kepler
• Decoding the radial velocity variations of HD41248 with ESPRESSO
• Challenges to Constraining Exoplanet Masses via Transmission Spectroscopy
• Simulating the M-R Relation from APF follow up of TESS targets: Survey design and strategies for overcoming mass biases
• The Impact of Stellar Surface Magnetoconvection and Oscillations on the Detection of Temperate, Earth-Mass Planets Around Sun-Like Stars
• Quantifying the Observational Effort Required for the Radial Velocity Characterization of TESS Planets
• Kinematic structures of the Solar neighbourhood revealed by Gaia DR1/TGAS and RAVE
• Stellar activity as noise in exoplanet detection I. Methods and application to solar-like stars and activity cycles
• Predicting Granulation "Flicker" and Radial Velocity "Jitter" from Spectroscopic Observables
• Bayesian Methods for Analysis and Adaptive Scheduling of Exoplanet Observations
• A HARDCORE model for constraining an exoplanet's core size
• A Cloud-based architecture for the Cherenkov Telescope Array observation simulations. Optimisation, design, and results
• An adaptive scheduling tool to optimize measurements to reach a scientific objective: methodology and application to the measurements of stellar orbits in the Galactic Center

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