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Published February 2021 | Accepted Version + Published
Journal Article Open

Refining the Transit-timing and Photometric Analysis of TRAPPIST-1: Masses, Radii, Densities, Dynamics, and Ephemerides

Abstract

We have collected transit times for the TRAPPIST-1 system with the Spitzer Space Telescope over four years. We add to these ground-based, HST, and K2 transit-time measurements, and revisit an N-body dynamical analysis of the seven-planet system using our complete set of times from which we refine the mass ratios of the planets to the star. We next carry out a photodynamical analysis of the Spitzer light curves to derive the density of the host star and the planet densities. We find that all seven planets' densities may be described with a single rocky mass–radius relation which is depleted in iron relative to Earth, with Fe 21 wt% versus 32 wt% for Earth, and otherwise Earth-like in composition. Alternatively, the planets may have an Earth-like composition but enhanced in light elements, such as a surface water layer or a core-free structure with oxidized iron in the mantle. We measure planet masses to a precision of 3%–5%, equivalent to a radial-velocity (RV) precision of 2.5 cm s⁻¹, or two orders of magnitude more precise than current RV capabilities. We find the eccentricities of the planets are very small, the orbits are extremely coplanar, and the system is stable on 10 Myr timescales. We find evidence of infrequent timing outliers, which we cannot explain with an eighth planet; we instead account for the outliers using a robust likelihood function. We forecast JWST timing observations and speculate on possible implications of the planet densities for the formation, migration, and evolution of the planet system.

Additional Information

© 2021 The Author(s). Published by the American Astronomical Society. Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Received 2020 June 26; revised 2020 September 30; accepted 2020 November 3; published 2021 January 22. This work is based in part on observations made with the Spitzer Space Telescope, which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under a contract with NASA. Support for this work was provided by NASA through an award issued by JPL/Caltech. E.A. was supported by a Guggenheim Fellowship and NSF grant AST-1615315. This research was partially conducted during the Exostar19 program at the Kavli Institute for Theoretical Physics at UC Santa Barbara, which was supported in part by the National Science Foundation under grant No. NSF PHY-1748958. We also acknowledge support from NASA's NExSS Virtual Planetary Laboratory, funded under NASA Astrobiology Institute Cooperative Agreement Number NNA13AA93A, and the NASA Astrobiology Program grant 80NSSC18K0829. This work was facilitated though the use of the advanced computational, storage, and networking infrastructure provided by the Hyak supercomputer system at the University of Washington. TRAPPIST is a project funded by the Belgian Fonds (National) de la Recherche Scientifique (F.R.S.-FNRS) under grant FRFC 2.5.594.09.F. TRAPPIST-North is a project funded by the University of Liége, in collaboration with Cadi Ayyad University of Marrakech (Morocco). B.-O.D., C.D., and J.H. acknowledge support from the Swiss National Science Foundation (grants PP00P2-163967, PZ00P2_174028, and 200020_19203, respectively). Calculations were performed on UBELIX (http://www.id.unibe.ch/hpc), the HPC cluster at the University of Bern. This work has been carried out in the framework of the PlanetS National Centre of Competence in Research (NCCR) supported by the Swiss National Science Foundation (SNSF). This research has made use of NASA's Astrophysics Data System and of services produced by the NASA Exoplanet Science Institute at the California Institute of Technology. This project has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie Grant Agreement No. 832738/ESCAPE and European Research Council (ERC; grant agreement Nos. 679030/WHIPLASH and 803193/BEBOP). M.T. thanks the Gruber Foundation for its generous support to this research. The research leading to these results has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP/2007–2013) ERC Grant Agreement No. 336480 and from the ARC grant for Concerted Research Actions, financed by the Wallonia-Brussels Federation. V.V.G. is an F.R.S.-FNRS Research Associate. M.G. and E.J. are F.R.S.-FNRS Senior Research Associates. R.M. acknowledges support for this research from NASA (grant 80NSSC18K0397). Z.L. acknowledges support from the Washington NASA Space Grant Consortium Summer Undergraduate Research Program. We thank Trevor Branch for discussions about HMC and automatic differentiation. We thank Pramod Gupta, Diana Windemuth, and Tyler Gordon for help in using Hyak. We thank Vardan Adibekyan, Rory Barnes, Jim Davenport, Natalie Hinkel, Dave Joswiak, and Sarah Millholland for useful discussions. Finally, we thank the referees for valuable feedback which improved this paper. Software: Matplotlib (Hunter 2007; Caswell et al. 2020), Julia (Bezanson et al. 2017), Limbdark.jl (Agol et al. 2020).

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Published - Agol_2021_Planet._Sci._J._2_1.pdf

Accepted Version - 2010.01074.pdf

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Additional details

Created:
August 22, 2023
Modified:
October 23, 2023