Nodal Precession of WASP-33b for Eleven Years by Doppler Tomographic and Transit Photometric Observations

@inproceedings{Watanabe2022NodalPO,
  title={Nodal Precession of WASP-33b for Eleven Years by Doppler Tomographic and Transit Photometric Observations},
  author={Noriharu Watanabe and Norio Narita and Enric Palle and Akihiko Fukui and Nobuhiko Kusakabe and Hannu Parviainen and Felipe Murgas and N. Casasayas-Barris and Marshall C. Johnson and Bun’ei Sato and John H. Livingston and Jerome P. de Leon and Mayuko Mori and Taku Nishiumi and Yuka Terada and Emma Esparza-Borges and Kiyoe Kawauchi},
  year={2022}
}
WASP-33b, a hot Jupiter around a hot star, is a rare system in which nodal precession has been discovered. We updated the model for the nodal precession of WASP-33b by adding new observational points. Consequently, we found a motion of the nodal precession spanning 11 years. We present homogenous Doppler tomographic analyses of eight datasets, including two new datasets from TS23 and HIDES, obtained between 2008 and 2019, to illustrate the variations in the projected spin-orbit obliquity ofWASP… 
1 Citations

Figures and Tables from this paper

Stellar Obliquities in Exoplanetary Systems

The rotation of a star and the revolutions of its planets are not necessarily aligned. This article reviews the measurement techniques, key findings, and theoretical interpretations related to the

References

SHOWING 1-6 OF 6 REFERENCES

PyRAF: Python alternative for IRAF

  • Science Software Branch at STScI
  • 2012

Continuance of Figure A3. Plot distributions for the impact parameter of each epoch, σ of each band, l, period, and transit mid-time of each epoch

  • MNRAS 000,
  • 2020

Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning)

The treatment is comprehensive and self-contained, targeted at researchers and students in machine learning and applied statistics, and includes detailed algorithms for supervised-learning problem for both regression and classification.

A71 APPENDIX A: MCMC RESULTS OF DOPPLER TOMOGRAPHIC AND PHOTOMETRIC MEASUREMENTS Here, we display the corner plots after using MCMC

  • A&A,
  • 2019

Gaussian Processes for Machine

  • Pepper J., et al.,
  • 2015