HaloFlow. I. Neural Inference of Halo Mass from Galaxy Photometry and Morphology
We present HaloFlow , a new machine-learning approach for inferring the mass of host dark matter halos, M _h , from the photometry and morphology of galaxies ( https://github.com/changhoonhahn/haloflow/ ). HaloFlow uses simulation-based inference with normalizing flows to conduct rigorous Bayesian i...
| المؤلفون الرئيسيون: | , , |
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| التنسيق: | مقال |
| اللغة: | English |
| منشور في: |
IOP Publishing
2024-01-01
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| سلاسل: | The Astrophysical Journal |
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://doi.org/10.3847/1538-4357/ad4344 |