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Point-spread Function Deconvolution of the IFU Data and Restoration of Galaxy Stellar Kinematics

Journal Article · · The Astrophysical Journal. Supplement Series
 [1];  [2];  [3]
  1. Univ. of Arizona, Tucson, AZ (United States); Seoul National Univ. (Korea, Republic of); Korea Institute for Advanced Study, Seoul (Korea, Republic of)
  2. Korea Institute for Advanced Study, Seoul (Korea, Republic of)
  3. Seoul National Univ. (Korea, Republic of)
We present a performance test of the point-spread function (PSF) 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 a diverse combination of surface brightness profile, signal-to-noise ratio, 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 differences 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.
Research Organization:
US Department of Energy (USDOE), Washington, DC (United States). Office of Science, Sloan Digital Sky Survey (SDSS)
Sponsoring Organization:
Alfred P. Sloan Foundation; USDOE Office of Science (SC)
Contributing Organization:
Lawrence Berkeley National Laboratory (LBNL)
OSTI ID:
1983299
Journal Information:
The Astrophysical Journal. Supplement Series, Journal Name: The Astrophysical Journal. Supplement Series Journal Issue: 2 Vol. 257; ISSN 0067-0049
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

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