Software report demonstrates modular coronagraphic exposure calculation for the Habitable Worlds Observatory, suggesting streamlined target planning for exoplanet habitability searches.
Key Points
To introduce and validate pyEDITH, an open-source, modular Python exposure time calculator designed to simulate high-fidelity coronagraphic direct imaging observations for NASA's Habitable Worlds Observatory.
Built a modular Python framework incorporating astrophysical and instrumental noise models alongside customizable engineering specifications to simulate wavelength-dependent exposure times and signal-to-noise ratios.
Benchmarked and validated computational outputs against existing exposure time calculators across synthetic direct imaging observations of exoplanetary systems.
Established an adaptable simulator capable of evaluating diverse Habitable Worlds Observatory architectures to optimize observation strategies for habitability signatures.
Published the open-source software package on GitHub and Zenodo, equipped with full API documentation, tutorial workflows, and a graphical user interface.