The hands-on sessions will be introduced on the first day of the workshop, including short presentations on the software - EXOFASTv2 and VESPA - that will be used on Tuesday and Wednesday. Workshop attendees will then be asked to sign-up for a group project using one of these software packages. You will need your laptop for the hands-on sessions.
On Thursday participants will work on group projects and prepare their presentations, which will be shown on Friday afternoon at the conclusion of the workshop.
The software will be installed on the Amazon cloud, so there is no need for participants to install it on their laptops (but they are welcome to do so if they want to try it out; however, we cannot provide any support).
This software package, written in IDL by Jason Eastman, will be used to fit transit photometry and radial velocity data to derive exoplanet properties. EXOFASTv2 has been an important fitting tool for astronomers who want to use transit light curves or radial velocity data and various inputs to create models of planet systems. Planet and stellar properties are derived self-consistently, and MCMC is used to characterize the uncertainties.
EXOFAST on the NASA Exoplanet Archive
The NASA Exoplanet Archive has integrated Jason Eastman's EXOFAST code into its suite of web services, which provides the tool with a more robust and stable home with several enhancements.
The Exoplanet Archive's version of EXOFAST offers the same IDL-based calculations as the original code, and also provides sufficient back-end computing resources to enable Markov Chain Monte Carlo (MCMC) analysis. In addition, the new EXOFAST draws on the archive's database of stellar and planetary parameters, which are updated weekly based on the current literature.
This software package, written in Python by Tim Morton, calculates the false positive probabilities for transit signals and statistically validates transiting exoplanets. It uses information from the light curve, and, if available, results from follow-up spectroscopy and imaging data.
(last updated June 21st, 2018 14:35:34)