Method for optical adjustment with deep learning to quantitatively predict misalignment in optics
Year: 2024
Type: article
Source: Applied Optics
DOI: 10.1364/ao.532265
Authors: Ryo Hashimoto, Shuji Matsuura, Yusuke Iida
Institution: Niigata University
Language: English
Subfield: Biomedical Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: closed
Awards: Investigation of the origin of the optical and near-infrared background excess with NASA sounding rocket experiments, Revealing the near-infrared excess of the cosmic infrared background and searching for primordial blackholes by sounding rocket experiments, Revealing the origin of the excess in mean intensity and fluctuations of the cosmic near-infrared background by sounding rocket experiments CIBER-2
OpenAlex ID: W4401611690