Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Cosmic Ray Removal in Fiber Spectroscopic Image
by
Yuan, Hailong
, Zhao, Yongheng
, Yang, Huiqin
, Bai, Zhongrui
, Lei, Yajuan
, Carlin, Jeffrey L.
, Li, Guangwei
, Dong, Yiqiao
, Zhang, Haotong
, Cao, Zihuang
in
techniques: image processing
2017
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Cosmic Ray Removal in Fiber Spectroscopic Image
by
Yuan, Hailong
, Zhao, Yongheng
, Yang, Huiqin
, Bai, Zhongrui
, Lei, Yajuan
, Carlin, Jeffrey L.
, Li, Guangwei
, Dong, Yiqiao
, Zhang, Haotong
, Cao, Zihuang
in
techniques: image processing
2017
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Cosmic Ray Removal in Fiber Spectroscopic Image
2017
Request Book From Autostore
and Choose the Collection Method
Overview
Single-exposure spectra in large spectral surveys are valuable for time domain studies such as stellar variability, but there is no available method to eliminate cosmic rays for single-exposure, multi-fiber spectral images. In this paper, we describe a new method to detect and remove cosmic rays in multi-fiber spectroscopic single exposures. Through the use of two-dimensional profile fitting and a noise model that considers the position-dependent errors, we successfully detect as many as 80% of the cosmic rays and correct the cosmic ray polluted pixels to an average accuracy of 97.8%. Multiple tests and comparisons with both simulated data and real LAMOST data show that the method works properly in detection rate, false detection rate, and validity of cosmic ray correction.
Publisher
The Astronomical Society of the Pacific
Subject
This website uses cookies to ensure you get the best experience on our website.