Print Email Facebook Twitter PyMieDAP Title PyMieDAP: A Python-Fortran tool for computing fluxes and polarization signals of (exo)planets Author Rossi, L.C.G. (TU Delft Astrodynamics & Space Missions) Berzosa Molina, J. (TU Delft Education AE) Stam, D.M. (TU Delft Astrodynamics & Space Missions) Date 2018-08-01 Abstract PYMIEDAP (the Python Mie Doubling-Adding Programme) is a Python-based tool for computing the total linearly and circularly polarized fluxes of incident unpolarized sunlight or starlight that is reflected by solar system planets or moons, respectively, or by exoplanets at a range of wavelengths. The radiative transfer computations are based on an doubling-adding Fortran algorithm and fully include polarization for all orders of scattering. The model (exo)planets are described by a model atmosphere composed of a stack of homogeneous layers containing gas and/or aerosol and/or cloud particles bounded below by an isotropically depolarizing surface (that is optionally black). The reflected light can be computed spatially resolved and/or disk-integrated. Spatially resolved signals are mostly representative for observations of solar system planets (or moons), while disk-integrated signals are mostly representative for exoplanet observations. PYMIEDAP is modular and flexible, and allows users to adapt and optimize the code according to their needs. PYMIEDAP keeps options open for connections with external programs and for future additions and extensions. In this paper, we describe the radiative transfer algorithm that PYMIEDAP is based on and the principal functionalities of the code. We also provide benchmark results of PYMIEDAP that can be used for testing its installation and for comparison with other codes. Subject Planets and satellites: atmospheresPolarizationRadiative transfer To reference this document use: http://resolver.tudelft.nl/uuid:1e76d795-d5f0-43e4-8d51-9fac8faf4175 DOI https://doi.org/10.1051/0004-6361/201832859 ISSN 0004-6361 Source Astronomy & Astrophysics, 616 Part of collection Institutional Repository Document type journal article Rights © 2018 L.C.G. Rossi, J. Berzosa Molina, D.M. Stam Files PDF PyMieDAP.pdf 996.62 KB Close viewer /islandora/object/uuid:1e76d795-d5f0-43e4-8d51-9fac8faf4175/datastream/OBJ/view