PACMAN: A pipeline to reduce and analyze Hubble Wide Field Camera 3 IR Grism data
arXiv:2212.11421 · doi:10.21105/joss.04838
Abstract
Here we present PACMAN, an end-to-end pipeline developed to reduce and analyze HST/WFC3 data. The pipeline includes both spectral extraction and light curve fitting. The foundation of PACMAN has been already used in numerous publications (e.g., Kreidberg et al., 2014; Kreidberg et al., 2018) and these papers have already accumulated hundreds of citations. The Hubble Space Telescope (HST) has become the preeminent workhorse facility for the characterization of extrasolar planets. HST currently has two of the most powerful space-based tools for characterizing exoplanets over a broad spectral range: The Space Telescope Imaging Spectrograph (STIS) in the UV and the Wide Field Camera 3 (WFC3) in the Near Infrared. With the introduction of a spatial scan mode on WFC3 where the star moves perpendicular to the dispersion direction during an exposure, WFC3 observations have become very efficient due to the reduction of overhead time and the possibility of longer exposures without saturation. For exoplanet characterization, WFC3 is used for transit and secondary eclipse spectroscopy, and phase curve observations. The instrument has two different grisms: G102 with a spectral range from 800 nm to up to 1150 nm and G141 encompassing 1075 nm to about 1700 nm. The spectral range of WFC3/G141 is primarily sensitive to molecular absorption from water at approximately 1.4 microns. This led to the successful detection of water in the atmosphere of over a dozen of exoplanets. The bluer part of WFC3, the G102 grism, is also sensitive to water and most notably led to the first detection of a helium exosphere.
arXiv comment8 pages, 2 figures, Published in JOSS, GitHub: https://github.com/sebastian-zieba/PACMAN
References in corpus (28)
- SciPy 1.0--Fundamental Algorithms for Scientific Computing in Python
- Array Programming with NumPy
- Astropy: A Community Python Package for Astronomy
- emcee: The MCMC Hammer
- The Astropy Project: Building an inclusive, open-science project and status of the v2.0 core package
- The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package
- dynesty: A Dynamic Nested Sampling Package for Estimating Bayesian Posteriors and Evidences
- Detection of an Extrasolar Planet Atmosphere
- batman: BAsic Transit Model cAlculatioN in Python
- Clouds in the atmosphere of the super-Earth exoplanet GJ 1214b
- Infrared Transmission Spectroscopy of the Exoplanets HD209458b and XO-1b Using the Wide Field Camera-3 on the Hubble Space Telescope
- A Precise Water Abundance Measurement for the Hot Jupiter WASP-43b
- Helium in the eroding atmosphere of an exoplanet
- Juliet: a versatile modelling tool for transiting and non-transiting exoplanetary systems
- STARRY: Analytic Occultation Light Curves
- Water Vapour Absorption in the Clear Atmosphere of an exo-Neptune
- Detection of H2O and evidence for TiO/VO in an ultra hot exoplanet atmosphere
- Global Climate and Atmospheric Composition of the Ultra-Hot Jupiter WASP-103b from HST and Spitzer Phase Curve Observations
- exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series
- An HST Optical to Near-IR Transmission Spectrum of the Hot Jupiter WASP-19b: Detection of Atmospheric Water and Likely Absence of TiO
- Evidence for a Large Exomoon Orbiting Kepler-1625b
- A new approach to analysing HST spatial scans: the transmission spectrum of HD 209458 b
- EXOFASTv2: A public, generalized, publication-quality exoplanet modeling code
- No Evidence for Lunar Transit in New Analysis of Hubble Space Telescope Observations of the Kepler-1625 System
- ARES V: No Evidence For Molecular Absorption in the HST WFC3 Spectrum of GJ 1132 b
- SPIDERMAN: an open-source code to model phase curves and secondary eclipses
- Indications for very high metallicity and absence of methane for the eccentric exo-Saturn WASP-117b
- Allesfitter: Flexible Star and Exoplanet Inference From Photometry and Radial Velocity