IFORS2014

Optimization Techniques in Astronomy

Invited abstract in session TD-25: Patterns Detection in Very Large Datasets, stream Data Mining.

Area: 03. Data Mining, Knowledge Discovery and Artificial Intelligence

Tuesday, 14:00-15:30
Room: Room 009

Authors (first author is the speaker)

1. Mauricio Solar
Informatica, Universidad Tecnica Federico Santa Maria
2. Rodrigo Gregorio
Departamento de Informática, Universidad Técnica Federico Santa María

Abstract

In the context of ChiVO (www.chivo.cl) used for search of ALMA data, processing tools and image analysis to detect and classify astronomical structures are developed.
We will show an algorithm to identify and classify astronomical structures at different scales using the wavelet transform (WT) in 2D images. WT provides a matrix to decompose it into several images of different scales. Identifying objects in WT is, given a scale, isolate structures.
Then a classification algorithm is applied to recognize the structures and incorporate them into an astronomical catalog.

Keywords

Status: accepted


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