{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/galaxy-merger-reconstruction-with-equivariant","title":"Galaxy Merger Reconstruction with Equivariant Graph Normalizing Flows","arxiv_id":"2207.02786","date":"2022-07-06","proceeding":null,"authors":["Kwok Sun Tang","Yuan-Sen Ting"],"abstract":"A key yet unresolved question in modern-day astronomy is how galaxies formed and evolved under the paradigm of the $\\Lambda$CDM model. A critical limiting factor lies in the lack of robust tools to describe the merger history through a statistical model. In this work, we employ a generative graph network, E(n) Equivariant Graph Normalizing Flows Model. We demonstrate that, by treating the progenitors as a graph, our model robustly recovers their distributions, including their masses, merging redshifts and pairwise distances at redshift z=2 conditioned on their z=0 properties. The generative nature of the model enables other downstream tasks, including likelihood-free inference, detecting anomalies and identifying subtle correlations of progenitor features.","url_abs":"https://arxiv.org/abs/2207.02786v1","url_pdf":"https://arxiv.org/pdf/2207.02786v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"links_only","authors_date_abstract":"arXiv metadata, CC0 1.0 (https://info.arxiv.org/help/license), from the Kaggle arXiv metadata snapshot of 2026-09-12"},"code_links":[{"paper_slug":"galaxy-merger-reconstruction-with-equivariant","repo_url":"https://github.com/hisunnytang/haloegnn","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"pytorch","reach":null}],"tasks":[],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":"https://app.syntology.ai/?focus=2207.02786","mcp":{"get_harvested_code_for_paper":{"arxiv_id":"2207.02786"}},"developers":"https://syntology.ai/developers","read_at":"2026-09-24T18:15:14+00:00","read_at_is":"when the build read Syntology's graph, not when any sample ran","claim":"Per-sample execution status on synthesized fixtures; not a correctness claim about the paper. Samples come from repositories linked to the paper, official or community; repo_kind says which.","repos":[{"provenance":"external:paperswithcode_snapshot_2025-07-28","url":"https://github.com/hisunnytang/haloegnn","reach":null}],"summary":{"ran_draft_wrong":1,"unverified":1},"by_repo_kind":{"official":{"samples":2,"ran":1,"repositories":1}},"repo_kind_vocabulary":{"official":"The archive marks this repository official for the paper","named_in_paper":"The archive records that the paper mentions this repository; it is not marked official","listed":"In the archive's code links for this paper, not marked official and not recorded as mentioned in the paper","found_in_text":"Syntology found this repository in the paper's own text; whether it is the authors' implementation is not asserted","community":"Not in the archive's code links for this paper; a community repository Syntology harvested"},"n_pointer_only_for_licence":2,"samples":[{"code_sha256_prefix":"818238e6b54fe5fc","entry":"repeat_batch","repo":"hisunnytang/haloegnn","repo_kind":"official","path":"HaloEGNNFlows/infer_graph.py","file_url":"https://github.com/hisunnytang/haloegnn/blob/HEAD/HaloEGNNFlows/infer_graph.py","link_basis":"first_harvest_node","language":"python","status":"ran_draft_wrong","verification_level":1,"contract_check":"MISDECLARED","metamorphic_tier":"deterministic","behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"818238e6b54fe5fc"}},{"code_sha256_prefix":"1df2c82a706f96ae","entry":"get_model","repo":"hisunnytang/haloegnn","repo_kind":"official","path":"HaloEGNNFlows/EGNNFlows/models.py","file_url":"https://github.com/hisunnytang/haloegnn/blob/HEAD/HaloEGNNFlows/EGNNFlows/models.py","link_basis":"first_harvest_node","language":"python","status":"unverified","verification_level":0,"contract_check":null,"metamorphic_tier":null,"behaviour_fingerprint":false,"licence":"NONE","inline_ok":false,"mcp_get_code":{"code_sha256":"1df2c82a706f96ae"}}]},"arxiv_metadata":null,"syntology_extracted_results":null}