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JetCurry: Modeling 3D geometry of AGN jets from 2D images

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Ada Coda
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JetCurry: Modeling 3D geometry of AGN jets from 2D images

Postby Ada Coda » Sun Feb 26, 2017 8:51 pm

JetCurry: Modeling 3D geometry of AGN jets from 2D images

Abstract: Written in Python, JetCurry models the 3D geometry of jets from 2-D images. JetCurry requires NumPy and SciPy and incorporates emcee (ascl:1303.002) and AstroPy (ascl:1304.002), and optionally uses VPython. From a defined initial part of the jet that serves as a reference point, JetCurry finds the position of highest flux within a bin of data in the image matrix and fits along the x axis for the general location of the bends in the jet. A spline fitting is used to smooth out the resulted jet stream.

Credit: Kosak, Katie; Li, KunYang; Avachat, Sayali S.; Perlman, Eric S.

Site: https://github.com/esperlman/JetCurry
http://adsabs.harvard.edu/abs/2017arXiv170200534L

Bibcode: 2017ascl.soft02005K

ID: ascl:1702.005
Last edited by Ada Coda on Sun Mar 12, 2017 2:43 am, edited 1 time in total.
Reason: Updated code entry.

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