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Exoplanet Characterization ToolKit (ExoCTK)

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Presentation on theme: "Exoplanet Characterization ToolKit (ExoCTK)"— Presentation transcript:

1 Exoplanet Characterization ToolKit (ExoCTK)
July 11th, 2017 Presented by Kevin Stevenson

2 STScI Team Members Nikole Lewis (PI) Kevin Stevenson (Project Manager)
Jonathan Fraine (Deputy Project Manager) Giovanni Bruno Rafia Bushra Joe Filippazzo Jules Fowler Matt Hill Laurent Pueyo Jeff Valenti MAST Team

3 External Collaborators
Loïc Albert Mike Line Natasha Batalha Mark Marley Patricio Cubillos Caroline Morley Jonathan Fortney Hannah Wakeford Eliza Kempton Jason Wang Laura Kreidberg Jason Wright David Lafrenière Et al.

4 What is ExoCTK? Open-source, modular data analysis package
Intended for atmospheric characterization of exoplanets JWST and WFIRST First publicly-available end-to-end characterization toolkit Lowers the bar to new astronomers entering the field of exoplanet characterization Modules written by community members like you! Anyone can contribute Python 3, well documented, shared core module with common classes, defined I/O format, parallel development and support, funded

5 ExoCTK Modules Observation planning service
Atmospheric forward modeling Data reduction pipeline Limb-darkening calculator Light-curve fitting tools Bayesian atmospheric retrieval Planetary atmospheres libraries and tools IFS spectral extraction (direct imaging)

6 Observation Planning Problem #1: Problem #2: Solution:
APT isn’t set up to specify an observation with a given duration Need to provide # of integrations (NINTS) Determining the observation duration in APT is time consuming Problem #2: Determining the number of groups (NGROUPS, up-the-ramp samples) without saturating the detector is non-trivial Requires trial-and-error calculations with ETC NIRISS/SOSS takes 2-3 minutes per calculation, time consuming Solution: Given a specified observation duration and stellar magnitude, ExoCTK computes NINTS and NGROUPS for you (in a few seconds)

7 Observation Planning Additional tools:
Target overlap (NIRISS, NIRCam, MIRI) -> APT PA constraints Observation start phase range -> APT timing requirements Target acquisition (NGROUPS)

8 Forward Modeling Pre-generated atmospheric forward models
Gas giant exoplanets (Jonathan Fortney) Super-Earths & brown dwarfs (Caroline Morley) Custom atmospheric forward models ExoTransmit (Eliza Kempton) CHIMERA (Mike Line)

9 Forward Modeling

10 Data Reduction Convert time series of 2D integrations into time series of 1D spectra Cosmic ray rejection Background subtraction Optimal spectral extraction We need your JWST data reduction modules!!!

11 Limb Darkening Multiple stellar models
Phoenix, Kurucz Large assortment of filters/grisms Spitzer/IRAC, HST/WFC3, JWST Select one or more LD models 8 options (linear, quadratics, etc.) Interpolates model grids to determine best stellar model Will use stellar uncertainties to compute LD uncertainties

12 Limb Darkening Only formal errors for now

13 Light Curve Fitting Comprehensive library of physical and systematic model components Ramps (time dependent) IPSV (position dependent) Unknowns (unknown dependent) Fit white and spectroscopic light curves BATMAN (Laura Kreidberg) LMFIT Estimate uncertainties MC3 (Patricio Cubillos) EMCEE (Dan Forman-Mackey) Generate transmission/emission spectrum

14 Light Curve Fitting

15 Atmospheric Retrieval
Estimate physical parameter uncertainties under a Bayesian framework CHIMERA (Mike Line) Example parameters Molecular abundances Thermal structure C/O Metallicity Clouds

16 Atmospheric Retrieval

17 Final Thoughts… ExoCTK will automatically-generate a Bibtex file with relevant citations Due to be completed by the launch of JWST We need your modules!!! xkcd.com/ “import antigravity”


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