AVIATOR: Morphological object reconstruction in 3D
Autor: | Birgit Hasenberger, João Alves |
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Rok vydání: | 2020 |
Předmět: |
Physics
Plane (geometry) FOS: Physical sciences 020207 software engineering Astronomy and Astrophysics Reconstruction algorithm 02 engineering and technology Astrophysics Astrophysics - Astrophysics of Galaxies 01 natural sciences Set (abstract data type) Distribution (mathematics) Space and Planetary Science Robustness (computer science) Astrophysics of Galaxies (astro-ph.GA) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Noise (video) Astrophysics - Instrumentation and Methods for Astrophysics Projection (set theory) Instrumentation and Methods for Astrophysics (astro-ph.IM) 010303 astronomy & astrophysics Algorithm Physical quantity |
Zdroj: | Astronomy & Astrophysics. 633:A132 |
ISSN: | 1432-0746 0004-6361 |
Popis: | Reconstructing 3D distributions from their 2D projections is a ubiquitous problem in various scientific fields, particularly so in observational astronomy. In this work, we present a new approach to solving this problem: a Vienna inverse-Abel-transform based object reconstruction algorithm AVIATOR. The reconstruction that it performs is based on the assumption that the distribution along the line of sight is similar to the distribution in the plane of projection, which requires a morphological analysis of the structures in the projected image. The output of the AVIATOR algorithm is an estimate of the 3D distribution in the form of a reconstruction volume that is calculated without the problematic requirements that commonly occur in other reconstruction methods such as symmetry in the plane of projection or modelling of radial profiles. We demonstrate the robustness of the technique to different geometries, density profiles, and noise by applying the AVIATOR algorithm to several model objects. In addition, the algorithm is applied to real data: We reconstruct the density and temperature distributions of two dense molecular cloud cores and find that they are in excellent agreement with profiles reported in the literature. The AVIATOR algorithm is thus capable of reconstructing 3D distributions of physical quantities consistently using an intuitive set of assumptions. 11 pages, 16 figures, accepted for publication by Astronomy & Astrophysics. v2: Typo in Eq. 3 corrected. The AVIATOR code and a Jupyter notebook illustrating its use is publicly available at https://github.com/BirgitHa/AVIATOR |
Databáze: | OpenAIRE |
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