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Deep generative models for galaxy image simulations

Research article (Monthly Notices of the Royal Astronomical Society, 2021) · cited 47× · AI/ML
CreativeWork academia

Facts

5 properties
Instance of
scholarly article[2]
Publication date
April 30, 2021as of 2026-09-23
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Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
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Transform
4ort-mint · openalex:20260923 · version not recorded
Published in
Monthly Notices of the Royal Astronomical Societyas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
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4ort-mint · openalex:20260923 · version not recorded
Sponsor
National Science Foundationas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
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4ort-mint · openalex:20260923 · version not recorded
Title
Deep generative models for galaxy image simulationsas of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
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4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
OpenAlex ID
W3047856369as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
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Transform
4ort-mint · openalex:20260923 · version not recorded
DOI
10.1093/MNRAS/STAB1214as of 2026-09-23
where from?
Source
OpenAlex
Edition
20260923 · as of 2026-09-23
Bronze
not in the catalog
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4ort-mint · openalex:20260923 · version not recorded

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📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Authored by 5
Rachel Mandelbaum, Chunliang Li, Francois Lanusse, Peter E. Freeman, Siamak Ravanbakhsh
← Author of 5
Rachel Mandelbaum, Chunliang Li, Francois Lanusse, Peter E. Freeman, Siamak Ravanbakhsh
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Summary

Deep generative models for galaxy image simulations is a scholarly article[1].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Deep generative models for galaxy image simulations. Retrieved October 20, 2026, from https://4ort.xyz/entity/deep-generative-models-for-galaxy-image-simulations
MLA “Deep generative models for galaxy image simulations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 20 Oct. 2026, https://4ort.xyz/entity/deep-generative-models-for-galaxy-image-simulations.
BibTeX @misc{4ortxyz_deep-generative-models-for-galaxy-image-simulations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deep generative models for galaxy image simulations}}, year = {2026}, url = {https://4ort.xyz/entity/deep-generative-models-for-galaxy-image-simulations}, note = {Accessed: 2026-10-20}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deep generative models for galaxy image simulations — https://4ort.xyz/entity/deep-generative-models-for-galaxy-image-simulations (retrieved 2026-10-20)

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