Two-dimensional Multi-fiber Spectrum Image Correction Based on Machine Learning Techniques

16 Feb 2020Jiali XuQian YinPing GuoXin Zheng

Due to limited size and imperfect of the optical components in a spectrometer, aberration has inevitably been brought into two-dimensional multi-fiber spectrum image in LAMOST, which leads to obvious spacial variation of the point spread functions (PSFs). Consequently, if spatial variant PSFs are estimated directly , the huge storage and intensive computation requirements result in deconvolutional spectral extraction method become intractable... (read more)

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