Description
Radial Velocity Method for Detecting Exoplanets.
Description
Has various functions designed to implement the Hermite-Gaussian Radial Velocity (HGRV) estimation approach of Holzer et al. (2020) <arXiv:2005.14083>, which is a particular application of the radial velocity method for detecting exoplanets. The overall approach consists of four sequential steps, each of which has a function in this package: (1) estimate the template spectrum with the function estimate_template(), (2) find absorption features in the estimated template with the function findabsorptionfeatures(), (3) fit Gaussians to the absorption features with the function Gaussfit(), (4) apply the HGRV with simple linear regression by calling the function hgrv(). This package is meant to be open source. But please cite the paper Holzer et al. (2020) <arXiv:2005.14083> when publishing results that use this package.
README.md
The rvmethod package is designed to implement the Radial Velocity (RV) method for detecting exoplanets through the periodic motion of their host star. Particularly, this uses the methodology from Holzer et. al (2020) that introduces the Hermite-Gaussian Radial Velocity (HGRV) approach that simplifies the process to simple linear regression.
The process of implementing this method through this package is the following sequence of steps:
- feed a time-series of normalized stellar spectra into the function estimate_template( ) to estimate the template spectrum
- apply the absorption feature finding algorithm to the estimated template by feeding it into the findabsorptionfeatures( ) function
- fit Gaussians to the absorption features found in the template spectrum with the gaussfit( ) function
- estimate the RV in each stellar spectrum by feeding the estimated template spectrum and Gaussian fit parameters into the hgrv( ) function
To install the package, run the following command in R: install.packages("rvmethod")
Along with the functions mentioned in the sequence above, there are some example data sets that are used in examples given in the documentation.