eleonoraalei/mpear: v1.0.0

Multi-bandpass Photometry for Exoplanet Atmosphere Reconnaissance (MPEAR) MPEAR is an open-source algorithm designed to optimize multi-bandpass photometric observing strategies for the Habitable Worlds Observatory (HWO). The algorithm identifies the best combination of broadband photometric observations to maximize information extraction during the first visit to a planetary system, allowing to qualitatively differentiate between planetary classes. Key Features: Identifies degeneracies in orbital configurations, fluxes, and observational noise that could lead to confusion between different planet types Determines optimal secondary photometry bandpasses across the UV to NIR wavelength range to reduce ambiguities in planetary characterization Provides qualitative planet classification during the first visit to inform target prioritization for spectroscopic follow-up observations Dependencies: MPEAR requires: pyEDITH (Python Exoplanet Direct Imaging Telescope Helper): HWO coronagraph exposure time calculator for noise simulations and S/N calculations. Installation guide: https://pyedith.readthedocs.io/en/latest/installation.html PSG (Planetary Spectrum Generator): Dockerized version for radiative transfer modeling. Installation guide: https://psg.gsfc.nasa.gov/helpapi.php#installation Citation: If you use MPEAR in your research, please cite: Alei et al. (2026), "Multi-bandpass Photometry for Exoplanet Atmosphere Reconnaissance (MPEAR) with the Habitable Worlds Observatory (HWO): I. Differentiating Earth from Neptunes During Discovery": https://ui.adsabs.harvard.edu/abs/2025arXiv251205279A/abstract Source Code: GitHub: https://github.com/eleonoraalei/mpear