Design, Calibration, and On-Site Validation of an LCVR-Driven Fast-Tunable Lyot Filter for the YOGIS Coronagraph

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Authors: Tengfei Song, Yu Liu, Xuefei Zhang, Mingyu Zhao, Z. Y. Li
Cited by: 0
References: 21

Abstract

The Lyot filter, a fundamental element of the Yunnan Observatories Coronagraph Green-line Imaging System (YOGIS) at Lijiang Observatory, utilizes a Liquid Crystal Variable Retarder (LCVR) for swift electrical modulation. This filter allows for precise observations of the coronal green line (Fe XIV, central wavelength 5303 Å) with a narrow full-width at half-maximum (FWHM) of 1 Å and enables rapid adjustment of the transmission band wavelength. This feature aids in capturing the sky background intensity around the green line and images of two line wings (offset by ±0.45 Å from the central wavelength), crucial for determining the green line’s Doppler shift. By employing sky background subtraction and processing line wing images, an improved signal-to-noise ratio (SNR) in coronal green line images is achieved. The YOGIS Lyot filter, an enhancement of the NOrikura Green-line Imaging System (NOGIS) filter, operates at a wavelength of 5303 Å, offers a wavelength tuning range of ±2 Å, and tunes within

Fields of Study & Subjects

Adaptive optics and wavefront sensing Astronomy and Astrophysical Research Optical Polarization and Ellipsometry

Publication details

Journal / source
Photonics
Volume
13
Issue
1
Pages
76–76
Publication date
16 January 2026
Language
EN