Segmenting Superbubbles in a Simulated Multiphase Interstellar Medium using Computer Vision
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2026
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866910082441150464 |
|---|---|
| author | Chen, Jing-Wen Hill, Alex S. Ordog, Anna Booth, Rebecca A. Shehata, Mohamed S. |
| author_facet | Chen, Jing-Wen Hill, Alex S. Ordog, Anna Booth, Rebecca A. Shehata, Mohamed S. |
| contents | We developed a computer vision-based methodology to achieve precise 3D segmentation and tracking of superbubbles within magnetohydrodynamic simulations of the supernova-driven interstellar medium. Leveraging advanced 3D transformer models, our approach effectively captures the complex morphology and dynamic evolution of these astrophysical structures. To demonstrate the technique, we specifically focused on a superbubble exhibiting interesting interactions with its surrounding medium, driven by a series of successive supernova explosions. Our model successfully generated detailed 3D segmentation masks, enabling us to visualize and analyze the bubble's structural evolution over time. The results reveal insights into the superbubble's growth patterns, energy retention, and interactions with surrounding interstellar matter. This interdisciplinary approach not only enhances our understanding of superbubble dynamics but also offers a robust framework for investigating other complex phenomena in the cosmos. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_27741 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Segmenting Superbubbles in a Simulated Multiphase Interstellar Medium using Computer Vision Chen, Jing-Wen Hill, Alex S. Ordog, Anna Booth, Rebecca A. Shehata, Mohamed S. Astrophysics of Galaxies Computer Vision and Pattern Recognition We developed a computer vision-based methodology to achieve precise 3D segmentation and tracking of superbubbles within magnetohydrodynamic simulations of the supernova-driven interstellar medium. Leveraging advanced 3D transformer models, our approach effectively captures the complex morphology and dynamic evolution of these astrophysical structures. To demonstrate the technique, we specifically focused on a superbubble exhibiting interesting interactions with its surrounding medium, driven by a series of successive supernova explosions. Our model successfully generated detailed 3D segmentation masks, enabling us to visualize and analyze the bubble's structural evolution over time. The results reveal insights into the superbubble's growth patterns, energy retention, and interactions with surrounding interstellar matter. This interdisciplinary approach not only enhances our understanding of superbubble dynamics but also offers a robust framework for investigating other complex phenomena in the cosmos. |
| title | Segmenting Superbubbles in a Simulated Multiphase Interstellar Medium using Computer Vision |
| topic | Astrophysics of Galaxies Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2603.27741 |