Order-by-order Modeling of Exoplanet Radial Velocity Data
Authors/Creators
-
Langford, Zachary
(Researcher)1
-
Blake, Cullen
(Researcher)1
-
Halverson, Samuel
(Researcher)2, 3
-
Ford, Eric
(Researcher)4, 5
-
Mahadevan, Suvrath
(Researcher)5, 4, 6
-
Giovinazzi, Mark
(Researcher)7
-
Gupta, Arvind
(Researcher)8
-
Robertson, Paul
(Researcher)9
-
Alvarado-Montes, Jaime A.
(Researcher)10, 11, 12
-
Bender, Chad
(Researcher)13
- et al. Show all 15 authors
-
Langford, Zachary
(Researcher)1
-
Blake, Cullen
(Researcher)1
-
Halverson, Samuel
(Researcher)2, 3
-
Ford, Eric
(Researcher)4, 5
-
Mahadevan, Suvrath
(Researcher)5, 4, 6
-
Giovinazzi, Mark
(Researcher)7
-
Gupta, Arvind
(Researcher)8
-
Robertson, Paul
(Researcher)9
-
Alvarado-Montes, Jaime A.
(Researcher)10, 11, 12
-
Bender, Chad
(Researcher)13
-
Krolikowski, Daniel
(Researcher)14, 13
-
Roy, Arpita
(Researcher)15
-
Schwab, Christian
(Researcher)10
-
Terrien, Ryan
(Researcher)16
-
Wright, Jason
(Researcher)17
-
1.
University of Pennsylvania
- 2. Jet Propulsion Laboratory
-
3.
California Institute of Technology
- 4. Center for Exoplanets and Habitable Worlds
-
5.
Pennsylvania State University
- 6. Astrobiology Research Center
-
7.
Amherst College
-
8.
NSF NOIRLab
- 9. University of California, Irvine
-
10.
Macquarie University
- 11. Macquarie University Faculty of Science and Engineering
- 12. Princeton Review Inc
- 13. University of Arizona
- 14. Steward Observatory
-
15.
Schmidt Sciences
-
16.
Carleton College
- 17. Penn State
Description
In the era of extremely precise radial velocity (EPRV) spectrographs, we are now in a regime where instrumental precision is below the intrinsic variability of many stars. These EPRV instruments, in principle, can provide sub-1 m/s measurement errors by collapsing the multi-wavelength spectra down to a single RV measurement at each epoch. However, astrophysical variations can be correlated in both time and wavelength, which will contaminate these types of RV measurements. In turn, this can bias the resulting estimation of exoplanet orbital parameters. We explore new methods for measuring exoplanet orbital parameters that take advantage of the fact that RV data sets are fundamentally multi-wavelength. Using simple Bayesian modeling techniques, and publicly available software and EPRV data, we show that we can achieve better Msini uncertainties compared to fitting single-RV-per-epoch time-series.
Files
OBO_Poster_A1.pdf
Files
(919.3 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:7dad546c433f1f6315d7f496b8c1e0cd
|
919.3 kB | Preview Download |
Additional details
Related works
- Is described by
- Publication: 10.1088/1538-3873/ae1640 (DOI)