Cloud2to3: Three-dimensional reconstruction via spherization

[2503.19259] Cloud2to3: Three-dimensional reconstruction via spherization Skip to main content Search Submit Donate Log in Search arXiv Press Enter to search · Advanced search Astrophysics > Astrophysics of Galaxies arXiv:2503.19259 (astro-ph) [Submitted on 25 Mar 2025 ( v1 ), last revised 15 Aug 2026 (this version, v2)] Title: Cloud2to3: Three-dimensional reconstruction via spherization Authors: Xunchuan Liu , Pak-Shing Li View a PDF of the paper titled Cloud2to3: Three-dimensional reconstruction via spherization, by Xunchuan Liu and 1 other authors View PDF HTML (experimental) Abstract: Inferring three-dimensional structures from two-dimensional maps remains a major challenge due to line of sight degeneracies. We present Cloud2to3, a flexible framework to reconstruct three-dimensional (3D) volumetric density fields from two-dimensional (2D) maps by generalizing the inverse Abel transform and the AVIATOR algorithm. The pipeline decomposes a 2D map into overlapping circles whose centers serve as the structural skeleton of each intensity slice. By linking these centers into a unified network, the 3D reconstruction problem is elegantly reduced to growing this skeletal tree along the line of sight. This work implements three benchmark strategies: a randomized approach, a deterministic approach, and a physically constrained model. While exact real space structural matching is degenerate due to a lack of local line of sight constraints, benchmarks show that both 2D and 3D density statistical properties are robustly preserved. The projected column density probability density function (PDF) remains invariant under multi-angle views, and testing against magnetohydrodynamic numerical simulation data confirms that \texttt{Cloud2to3} can recover the intrinsic volume density statistics. Overall, our framework preserves the continuity of primary morphological patterns, allowing features like filamentary junctions and dense core clustering to be qualitatively represented within the reconstructed volume. Comments: revised version Subjects: Astrophysics of Galaxies (astro-ph.GA) ; Instrumentation and Methods for Astrophysics (astro-ph.IM) Cite as: arXiv:2503.19259 [astro-ph.GA] (or arXiv:2503.19259v2 [astro-ph.GA] for this version) https://doi.org/10.48550/arXiv.2503.19259 Focus to learn more arXiv-issued DOI via DataCite Submission history From: Xunchuan Liu [ view email ] [v1] Tue, 25 Mar 2025 01:45:16 UTC (827 KB) [v2] Sat, 15 Aug 2026 10:01:30 UTC (844 KB) Full-text links: Access Paper: View a PDF of the paper titled Cloud2to3: Three-dimensional reconstruction via spherization, by Xunchuan Liu and 1 other authors View PDF HTML (experimental) TeX Source view license Current browse context: astro-ph.GA < prev | next > new | recent | 2025-03 Change to browse by: astro-ph astro-ph.IM References & Citations NASA ADS Google Scholar Semantic Scholar export BibTeX citation Loading... BibTeX formatted citation × loading... Data provided by: Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer ( What is the Explorer? ) Connected Papers Toggle Connected Papers ( What is Connected Papers? ) Litmaps Toggle Litmaps ( What is Litmaps? ) scite.ai Toggle scite Smart Citations ( What are Smart Citations? ) Code, Data, Media Code, Data and Media Associated with this Article alphaXiv Toggle alphaXiv ( What is alphaXiv? ) Links to Code Toggle CatalyzeX Code Finder for Papers ( What is CatalyzeX? ) DagsHub Toggle DagsHub ( What is DagsHub? ) GotitPub Toggle Gotit.pub ( What is GotitPub? ) Huggingface Toggle Hugging Face ( What is Huggingface? ) ScienceCast Toggle ScienceCast ( What is ScienceCast? ) Demos Demos Replicate Toggle Replicate ( What is Replicate? ) Spaces Toggle Hugging Face Spaces ( What is Spaces? ) Spaces Toggle TXYZ.AI ( What is TXYZ.AI? ) Related Papers Recommenders and Search Tools Link to Influence Flower Influence Flower ( What are Influence Flowers? ) Core recommender toggle CORE Recommender ( What is CORE? ) IArxiv recommender toggle IArxiv Recommender ( What is IArxiv? ) Author Venue Institution Topic About arXivLabs arXivLabs: experimental projects with community collaborators arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs . Which authors of this paper are endorsers? | Disable MathJax ( What is MathJax? ) We gratefully acknowledge support from our major funders , member institutions , , and all contributors. About · Help · Contact · Subscribe · Copyright · Privacy · Accessibility · Operational Status (opens in new tab) Major funding support from

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