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New Insight on Hubble 4

Published online by Cambridge University Press:  26 May 2016

Carlos R. Rabaça ,
François Cuisinier ,
Silvia Lorenz-Martins ,
Daniel N. Epitácio Pereira ,
Denise R. Gonçalves  and
Erwan Lastennet
Carlos R. Rabaça
Affiliation:
Departamento de Astronomia - UFRJ, Ladeira do Pedro Antonio 43, 20080-090 Rio de Janeiro, Brazil
François Cuisinier
Affiliation:
Departamento de Astronomia - UFRJ, Ladeira do Pedro Antonio 43, 20080-090 Rio de Janeiro, Brazil
Silvia Lorenz-Martins
Affiliation:
Departamento de Astronomia - UFRJ, Ladeira do Pedro Antonio 43, 20080-090 Rio de Janeiro, Brazil
Daniel N. Epitácio Pereira
Affiliation:
Departamento de Astronomia - UFRJ, Ladeira do Pedro Antonio 43, 20080-090 Rio de Janeiro, Brazil
Denise R. Gonçalves
Affiliation:
Instituto de Astrofísica de Canarias, Spain
Erwan Lastennet
Affiliation:
Departamento de Astronomia - UFRJ, Ladeira do Pedro Antonio 43, 20080-090 Rio de Janeiro, Brazil

Extract

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We started a program of identification of faint structures in PNe on HST archive images, based on the “à trous” wavelet transform (Starck et al. 1998). Using this technique, an image is decomposed in a new set of N images, each with the same number of pixels as the original one, but containing only the structures of a characteristic scale size (going from one image to the next, the characteristic scale vary by a factor of two). The original image c0 can be expressed as the sum of all wavelet scales plus a residual smoothed array cN by C0(x, y) = CN(x, y) + Σj=1Nwj(x, y).

Type
Part VII: Nebular Morphology and Dynamics
Information
Symposium - International Astronomical Union , Volume 209: Planetary Nebulae: Their Evolution and Role in the Universe , 2003 , pp. 491 - 492
Copyright
Copyright © Astronomical Society of the Pacific 2003 

References

Acker, A., et al. 1992, Strasbourg-ESO Catalog of Planetary Nebulae, ESO Publ. Google Scholar
Gonçalves, , et al., 2001, ApJ, 547, 302 Google Scholar
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López, J., et al., 1997, ApJ, 485, 697 Google Scholar
Starck, J. L., et al., 1998, Image and Data Analysis: The Multiscale Approach, Cambridge Un. Press Google Scholar