PSF Deconvolution of the IFU Data and Restoration of Galaxy Stellar Kinematics. (arXiv:2008.04313v2 [astro-ph.GA] UPDATED)

<a href="http://arxiv.org/find/astro-ph/1/au:+Chung_H/0/1/0/all/0/1">Haeun Chung</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Park_C/0/1/0/all/0/1">Changbom Park</a>, <a href="http://arxiv.org/find/astro-ph/1/au:+Park_Y/0/1/0/all/0/1">Yong-Sun Park</a>

We present a performance test of the Point Spread Function deconvolution

algorithm applied to astronomical Integral Field Unit (IFU) Spectroscopy data

for restoration of galaxy kinematics. We deconvolve the IFU data by applying

the Lucy-Richardson algorithm to the 2D image slice at each wavelength. We

demonstrate that the algorithm can effectively recover the true stellar

kinematics of the galaxy, by using mock IFU data with diverse combination of

surface brightness profile, S/N, line-of-sight geometry and Line-Of-Sight

Velocity Distribution (LOSVD). In addition, we show that the proxy of the spin

parameter $lambda_{R_{e}}$ can be accurately measured from the deconvolved IFU

data. We apply the deconvolution algorithm to the actual SDSS-IV MaNGA IFU

survey data. The 2D LOSVD, geometry and $lambda_{R_{e}}$ measured from the

deconvolved MaNGA IFU data exhibit noticeable difference compared to the ones

measured from the original IFU data. The method can be applied to any other

regular-grid IFU data to extract the PSF-deconvolved spatial information.

We present a performance test of the Point Spread Function deconvolution

algorithm applied to astronomical Integral Field Unit (IFU) Spectroscopy data

for restoration of galaxy kinematics. We deconvolve the IFU data by applying

the Lucy-Richardson algorithm to the 2D image slice at each wavelength. We

demonstrate that the algorithm can effectively recover the true stellar

kinematics of the galaxy, by using mock IFU data with diverse combination of

surface brightness profile, S/N, line-of-sight geometry and Line-Of-Sight

Velocity Distribution (LOSVD). In addition, we show that the proxy of the spin

parameter $lambda_{R_{e}}$ can be accurately measured from the deconvolved IFU

data. We apply the deconvolution algorithm to the actual SDSS-IV MaNGA IFU

survey data. The 2D LOSVD, geometry and $lambda_{R_{e}}$ measured from the

deconvolved MaNGA IFU data exhibit noticeable difference compared to the ones

measured from the original IFU data. The method can be applied to any other

regular-grid IFU data to extract the PSF-deconvolved spatial information.

http://arxiv.org/icons/sfx.gif