ORIGIN is a software to perform blind detection of faint emitters in MUSE datacubes.
The algorithm is tuned to efficiently detects faint spatial-spectral emission signatures, while allowing for a stable false detection rate over the data cube and providing in the same time an automated and reliable estimation of the purity.
The algorithm implements :
1. A nuisance removal part based on a continuum subtraction combining a Discrete Cosine Transform and an iterative Principal Component Analysis,
2. A detection part based on the local maxima of Generalized Likelihood Ratio test statistics obtained for a set of spatial-spectral profiles of emission line emitters,
3. A purity estimation part, where the proportion of true emission lines is estimated from the data itself: the distribution of the local maxima in the noise only configuration is estimated from that of the local minima.
Citation
ORIGIN is presented in the following paper: Mary et al., A&A, 2020, in press
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Metadata
Release files for muse-origin 3.2
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Source distribution (sdist)
| File | Size | Uploaded | |
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| muse-origin-3.2.tar.gz | 1.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| muse_origin-3.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.2 MB
Release files / muse-origin-3.2.tar.gz
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Release files / muse_origin-3.2-py3-none-any.whl
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| Tags | Python 3 |
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