Cosmological multifield emulator Article Swipe
Sambatra Andrianomena
,
Sultan Hassan
,
Francisco Villaescusa-Navarro
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2402.10997
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2402.10997
We demonstrate the use of deep network to learn the distribution of data from state-of-the-art hydrodynamic simulations of the CAMELS project. To this end, we train a generative adversarial network to generate images composed of three different channels that represent gas density (Mgas), neutral hydrogen density (HI), and magnetic field amplitudes (B). We consider an unconstrained model and another scenario where the model is conditioned on the matter density $Ω_{\rm m}$ and the amplitude of density fluctuations $σ_{8}$. We find that the generated images exhibit great quality which is on a par with that of data, visually. Quantitatively, we find that our model generates maps whose statistical properties, quantified by probability distribution function of pixel values and auto-power spectra, agree reasonably well with those of the real maps. Moreover, the cross-correlations between fields in all maps produced by the emulator are in good agreement with those of the real images, which indicates that our model generates instances whose maps in all three channels describe the same physical region. Furthermore, a CNN regressor, which has been trained to extract $Ω_{\rm m}$ and $σ_{8}$ from CAMELS multifield dataset, recovers the cosmology from the maps generated by our conditional model, achieving $R^{2}$ = 0.96 and 0.83 corresponding to $Ω_{\rm m}$ and $σ_{8}$ respectively. This further demonstrates the great capability of the model to mimic CAMELS data. Our model can be useful for generating data that are required to analyze the information from upcoming multi-wavelength cosmological surveys.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2402.10997
- https://arxiv.org/pdf/2402.10997
- OA Status
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- 10
- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W4391988407Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2402.10997Digital Object Identifier
- Title
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Cosmological multifield emulatorWork title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
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2024-02-16Full publication date if available
- Authors
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Sambatra Andrianomena, Sultan Hassan, Francisco Villaescusa-NavarroList of authors in order
- Landing page
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https://arxiv.org/abs/2402.10997Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2402.10997Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://arxiv.org/pdf/2402.10997Direct OA link when available
- Concepts
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Physics, Theoretical physics, AstrophysicsTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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10Other works algorithmically related by OpenAlex
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