UFig v1: The ultra-fast image generator
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arXiv
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| Main Authors: | , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916953755484160 |
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| author | Fischbacher, Silvan Moser, Beatrice Kacprzak, Tomasz Tortorelli, Luca Herbel, Joerg Bruderer, Claudio Schmitt, Uwe Refregier, Alexandre Berge, Joel Gamper, Lukas Amara, Adam |
| author_facet | Fischbacher, Silvan Moser, Beatrice Kacprzak, Tomasz Tortorelli, Luca Herbel, Joerg Bruderer, Claudio Schmitt, Uwe Refregier, Alexandre Berge, Joel Gamper, Lukas Amara, Adam |
| contents | With the rise of simulation-based inference (SBI) methods, simulations need to be fast as well as realistic. $\texttt{UFig v1}$ is a public Python package that simulates astronomical images with exceptional speed, taking approximately the same time as source extraction. This makes it particularly well-suited for SBI methods where computational efficiency is crucial. To render an image, $\texttt{UFig}$ requires a galaxy catalog, and a description of the point spread function (PSF). It can also add background noise, sample stars using the Besançon model of the Milky Way, and run $\texttt{SExtractor}$ to extract sources from the rendered image. The extracted sources can be matched to the intrinsic catalog, flagged based on $\texttt{SExtractor}$ output and survey masks, and emulators can be used to bypass the image simulation and extraction steps. A first version of $\texttt{UFig}$ was presented in Bergé et al. (2013) and the software has since been used and further developed in a variety of forward modelling applications. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2412_08716 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | UFig v1: The ultra-fast image generator Fischbacher, Silvan Moser, Beatrice Kacprzak, Tomasz Tortorelli, Luca Herbel, Joerg Bruderer, Claudio Schmitt, Uwe Refregier, Alexandre Berge, Joel Gamper, Lukas Amara, Adam Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics With the rise of simulation-based inference (SBI) methods, simulations need to be fast as well as realistic. $\texttt{UFig v1}$ is a public Python package that simulates astronomical images with exceptional speed, taking approximately the same time as source extraction. This makes it particularly well-suited for SBI methods where computational efficiency is crucial. To render an image, $\texttt{UFig}$ requires a galaxy catalog, and a description of the point spread function (PSF). It can also add background noise, sample stars using the Besançon model of the Milky Way, and run $\texttt{SExtractor}$ to extract sources from the rendered image. The extracted sources can be matched to the intrinsic catalog, flagged based on $\texttt{SExtractor}$ output and survey masks, and emulators can be used to bypass the image simulation and extraction steps. A first version of $\texttt{UFig}$ was presented in Bergé et al. (2013) and the software has since been used and further developed in a variety of forward modelling applications. |
| title | UFig v1: The ultra-fast image generator |
| topic | Instrumentation and Methods for Astrophysics Cosmology and Nongalactic Astrophysics |
| url | https://arxiv.org/abs/2412.08716 |