Invertible mapping between fields in CAMELS Article Swipe
Sambatra Andrianomena
,
Sultan Hassan
,
Francisco Villaescusa-Navarro
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2303.07473
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2303.07473
We build a bijective mapping between different physical fields from hydrodynamic CAMELS simulations. We train a CycleGAN on three different setups: translating dark matter to neutral hydrogen (Mcdm-HI), mapping between dark matter and magnetic fields magnitude (Mcdm-B), and finally predicting magnetic fields magnitude from neutral hydrogen (HI-B). We assess the performance of the models using various summary statistics, such as the probability distribution function (PDF) of the pixel values and 2D power spectrum ($P(k)$). Results suggest that in all setups, the model is capable of predicting the target field from the source field and vice versa, and the predicted maps exhibit statistical properties which are consistent with those of the target maps. This is indicated by the fact that the mean and standard deviation of the PDF of maps from the test set is in good agreement with those of the generated maps. The mean and variance of $P(k)$ of the real maps agree well with those of generated ones. The consistency tests on the model suggest that the source field can be recovered reasonably well by a forward mapping (source to target) followed by a backward mapping (target to source). This is demonstrated by the agreement between the statistical properties of the source images and those of the recovered ones.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2303.07473
- https://arxiv.org/pdf/2303.07473
- OA Status
- green
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4327486726
All OpenAlex metadata
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https://openalex.org/W4327486726Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2303.07473Digital Object Identifier
- Title
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Invertible mapping between fields in CAMELSWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-03-13Full publication date if available
- Authors
-
Sambatra Andrianomena, Sultan Hassan, Francisco Villaescusa-NavarroList of authors in order
- Landing page
-
https://arxiv.org/abs/2303.07473Publisher landing page
- PDF URL
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https://arxiv.org/pdf/2303.07473Direct link to full text PDF
- Open access
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://arxiv.org/pdf/2303.07473Direct OA link when available
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Bijection, Consistency (knowledge bases), Field (mathematics), Set (abstract data type), Standard deviation, Pixel, Statistical physics, Mathematics, Physics, Statistics, Computer science, Geometry, Optics, Discrete mathematics, Programming language, Pure mathematicsTop 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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| abstract_inverted_index.performance | 50 |
| abstract_inverted_index.probability | 61 |
| abstract_inverted_index.statistical | 101, 199 |
| abstract_inverted_index.statistics, | 57 |
| abstract_inverted_index.translating | 21 |
| abstract_inverted_index.demonstrated | 193 |
| abstract_inverted_index.distribution | 62 |
| abstract_inverted_index.hydrodynamic | 10 |
| abstract_inverted_index.simulations. | 12 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 3 |
| citation_normalized_percentile |