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| Paper: |
Noise-based Detection and Segmentation of Nebulous Signal: A review |
| Volume: |
512, Astronomical Data Analysis Software and Systems XXV |
| Page: |
213 |
| Authors: |
Akhlaghi, M.; Ichikawa, T. |
| Abstract: |
Because of the rich dynamic history of internal and external
processes, galaxies display a very diverse variety of shapes or
morphologies. Added with their low surface brightness features this
diversity can cause various systematic biases in their detection and
photometry. This method imposes statistically negligible constraints
on the to-be-detected targets. It is able to apply a sub-sky threshold
(–0.5σ) to the image for the first time. This allows for very
accurate non-parametric detection of the low surface brightness
structure in the outer wings of bright galaxies or the intrinsically
faint objects that remain wholly below the commonly used thresholds
(>1σ). NoiseChisel is the software we have created to
apply this algorithm. The software infrastructure hosting
NoiseChisel (GNU Astronomy Utilities) is also introduce here. |
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