# The Richardson-Lucy Deconvolution method to Extract LAMOST 1D Spectra

## TL;DR

This paper applies the Richardson-Lucy deconvolution algorithm to extract high-quality 1D spectra from LAMOST images, achieving better resolution and noise reduction compared to existing methods.

## Contribution

It introduces a faster deconvolution approach that improves spectral resolution and signal-to-noise ratio while reducing ringing artifacts in LAMOST spectra.

## Key findings

- Higher SNR and resolution in extracted spectra
- Faster processing compared to other algorithms
- Effective suppression of ringing artifacts

## Abstract

We use the Richardson-Lucy deconvolution algorithm to extract one dimensional (1D) spectra from LAMOST spectrum images. Compared with other deconvolution algorithms, this algorithm is much more fast. The practice on a real LAMOST image illustrates that the 1D resulting spectrum of this method has a higher SNR and resolution than those extracted by the LAMOST pipeline. Furthermore, our algorithm can effectively depress the ringings that are often shown in the 1D resulting spectra of other deconvolution methods.