A New Cosmic-Ray Rejection Routine for HST WFC3/UVIS via Label-free Training of deepCR
Abstract deepCR is a deep-learning-based cosmic-ray (CR) rejection framework originally
presented by Zhang & Bloom. The original approach requires a dedicated training set that …
presented by Zhang & Bloom. The original approach requires a dedicated training set that …
Cosmic-CoNN: A Cosmic-Ray Detection Deep-learning Framework, Data Set, and Toolkit
C Xu, C McCully, B Dong, DA Howell… - The Astrophysical …, 2023 - iopscience.iop.org
Rejecting cosmic rays (CRs) is essential for the scientific interpretation of CCD-captured
data, but detecting CRs in single-exposure images has remained challenging. Conventional …
data, but detecting CRs in single-exposure images has remained challenging. Conventional …