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DTSTAMP:20220812T074334Z
LOCATION:Foyer 2nd Floor
DTSTART;TZID=Europe/Stockholm:20220628T090000
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UID:submissions.pasc-conference.org_PASC22_sess181_pos136@linklings.com
SUMMARY:P23 - An Innovative and Automated Vortex Identification Method Bas
 ed on the Estimation of the Center of Rotation
DESCRIPTION:Poster\n\nP23 - An Innovative and Automated Vortex Identificat
 ion Method Based on the Estimation of the Center of Rotation\n\nCanivete C
 uissa, Steiner\n\nAn unambiguous method for the detection of vortices in h
 ydrodynamical flows has not been found yet. <br />We aim at developing a r
 obust method for the automated identification of vortices. Local and globa
 l rotations in the flow should be considered as both are necessary for the
  detection of coherent vortical structures. Moreover, the use of a thresho
 ld should be avoided to not exclude slow vortices in the identification pr
 ocess. <br />We present a new method, based on the velocity field alone, t
 hat combines the rigor of mathematical criteria and the global perspective
  of morphological techniques. The core of the method is the estimation of 
 the center of rotation for every point in the flow that presents some degr
 ee of local rotation. For that, we employ the Rortex criterion and the mor
 phology of the neighboring velocity field. We then identify coherent vorti
 cal structures by clustering the estimated centers of rotation with a grid
 -adapted version of the clustering by fast search and find of density peak
 s (CFSFDP) algorithm. <br />We apply the method to different examples of v
 ortical velocity fields and demonstrate its reliability and accuracy in th
 e solar atmosphere.
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