On the Use of WGANs for Super Resolution in Dark-Matter Simulations
Super-resolution techniques have the potential to reduce the computational cost of cosmological and astrophysical simulations. This can be achieved by enabling traditional simulation methods to run at lower resolution and then efficiently computing high-resolution data corresponding to the simulated...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Maynooth Academic Publishing
2025-06-01
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| Series: | The Open Journal of Astrophysics |
| Online Access: | https://doi.org/10.33232/001c.141236 |
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| _version_ | 1849329237230616576 |
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| author | John Brennan Sreedhar Balu Yuxiang Qin John Regan Chris Power |
| author_facet | John Brennan Sreedhar Balu Yuxiang Qin John Regan Chris Power |
| author_sort | John Brennan |
| collection | DOAJ |
| description | Super-resolution techniques have the potential to reduce the computational cost of cosmological and astrophysical simulations. This can be achieved by enabling traditional simulation methods to run at lower resolution and then efficiently computing high-resolution data corresponding to the simulated low-resolution data. In this work, we investigate the application of a Wasserstein Generative Adversarial Network (WGAN) model, previously proposed in the literature, to increase the particle resolution of dark-matter-only simulations. We reproduce prior results, showing the WGAN model successfully generates high-resolution data with summary statistics, including the power spectrum and halo mass function, that closely match those of true high-resolution simulations. However, we also identify a limitation of the WGAN model in the form of smeared features in generated high-resolution data, particularly in the shapes of dark-matter halos and filaments. This limitation points to a potential weakness of the proposed WGAN-based super-resolution method in capturing the detailed structure of halos, and underscores the need for further development in applying such models to cosmological data. |
| format | Article |
| id | doaj-art-7d339b9f2bbe4263a16d87da44e6383b |
| institution | Kabale University |
| issn | 2565-6120 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Maynooth Academic Publishing |
| record_format | Article |
| series | The Open Journal of Astrophysics |
| spelling | doaj-art-7d339b9f2bbe4263a16d87da44e6383b2025-08-20T03:47:20ZengMaynooth Academic PublishingThe Open Journal of Astrophysics2565-61202025-06-01810.33232/001c.141236On the Use of WGANs for Super Resolution in Dark-Matter SimulationsJohn BrennanSreedhar BaluYuxiang QinJohn ReganChris PowerSuper-resolution techniques have the potential to reduce the computational cost of cosmological and astrophysical simulations. This can be achieved by enabling traditional simulation methods to run at lower resolution and then efficiently computing high-resolution data corresponding to the simulated low-resolution data. In this work, we investigate the application of a Wasserstein Generative Adversarial Network (WGAN) model, previously proposed in the literature, to increase the particle resolution of dark-matter-only simulations. We reproduce prior results, showing the WGAN model successfully generates high-resolution data with summary statistics, including the power spectrum and halo mass function, that closely match those of true high-resolution simulations. However, we also identify a limitation of the WGAN model in the form of smeared features in generated high-resolution data, particularly in the shapes of dark-matter halos and filaments. This limitation points to a potential weakness of the proposed WGAN-based super-resolution method in capturing the detailed structure of halos, and underscores the need for further development in applying such models to cosmological data.https://doi.org/10.33232/001c.141236 |
| spellingShingle | John Brennan Sreedhar Balu Yuxiang Qin John Regan Chris Power On the Use of WGANs for Super Resolution in Dark-Matter Simulations The Open Journal of Astrophysics |
| title | On the Use of WGANs for Super Resolution in Dark-Matter Simulations |
| title_full | On the Use of WGANs for Super Resolution in Dark-Matter Simulations |
| title_fullStr | On the Use of WGANs for Super Resolution in Dark-Matter Simulations |
| title_full_unstemmed | On the Use of WGANs for Super Resolution in Dark-Matter Simulations |
| title_short | On the Use of WGANs for Super Resolution in Dark-Matter Simulations |
| title_sort | on the use of wgans for super resolution in dark matter simulations |
| url | https://doi.org/10.33232/001c.141236 |
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