论文标题
IFU数据的PSF反卷积和星系恒星运动学的恢复
PSF Deconvolution of the IFU Data and Restoration of Galaxy Stellar Kinematics
论文作者
论文摘要
我们提出了应用于天文学积分单元（IFU）光谱数据恢复星系运动学的点扩散函数反向卷积算法的性能测试。我们通过将Lucy-Richardson算法应用于每个波长的2D图像切片来解析IFU数据。我们证明，通过使用模拟IFU数据，具有表面亮度曲线，S/N，S/N，视线线几何形状和视线速度分布（LOSVD）的模拟IFU数据，可以有效地恢复银河系的真实恒星运动学。此外，我们表明可以从DeConvolved IFU数据中准确测量自旋参数$λ_{r_ {e}} $的代理。我们将反卷积算法应用于实际的SDSS-IV漫画IFU调查数据。与从原始IFU数据中测得的相比，从Deconvolved漫画IFU数据中测量的2D LOSVD，几何和$λ_{R_ {E}} $显示出明显的差异。该方法可以应用于任何其他常规网格IFU数据，以提取PSF卷入的空间信息。
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 $λ_{R_{e}}$ 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 $λ_{R_{e}}$ 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.
