Volume 587, March 2016
|Number of page(s)||6|
|Section||Numerical methods and codes|
|Published online||16 February 2016|
Detection of multiple velocity components in partially overlapping emitting regions
Max-Planck-Institut für Radioastronomie,
Auf dem Hügel 69,
2 Institut für Experimentalphysik, Universität Hamburg, Luruper Chaussee 149, 22761 Hamburg, Germany
Received: 19 November 2015
Accepted: 18 January 2016
Context. Velocity measurements made from multiple-epoch astronomical images of evolving objects with optically thin continuum emission (e.g. as relativistic jets or expanding supernova shells) may be confused as a result of the overlap of semi-transparent features moving at different speeds.
Aims. Multi-scale wavelet decomposition can be effectively applied to identify and track such overlapping features, provided that their respective structural responses can be separated over the spatial scales used for the decomposition.
Methods. We developed a new method that combines the stacked cross-correlation with the wavelet-based image segmentation and evaluation (WISE) technique of decomposition of two-dimensional structures, to separate and track dominant spatial responses of overlapping evolving features.
Results. The method is tested on a set of simulated images of a stratified relativistic jet, demonstrating the robust detection of both the faster spine and the slower sheath speeds. The method is applied to mutliple-epoch images from the MOJAVE survey, revealing two different superluminal streams inside the jet in 3C 273 and the acceleration of the flow in 3C 120.
Conclusions. The method can be applied to densely monitored objects with composite structural evolution such as the parsec-scale jet in M 87 or heavily resolved expanding supernova shells.
Key words: methods: data analysis / galaxies: jets / galaxies: individual: 3C 120 / galaxies: individual: 3C 273
© ESO, 2016
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.