Optimization by Smoothed Bandpass Calibration in Radio Spectroscopy
Haruka Yamaki, Seiji Kameno, Hirohisa Beppu, Izumi Mizuno, Hiroshi, Imai

TL;DR
The paper introduces the Smoothed Bandpass Calibration (SBC) method, which optimizes radio spectroscopic observations by reducing noise and telescope time through spectral smoothing and efficient scan patterns, improving data quality and efficiency.
Contribution
The paper presents a novel SBC method with an optimized scan pattern that enhances radio spectroscopic observation efficiency and noise reduction, validated with real data.
Findings
Noise level reduced by a factor of 1.74 using SBC.
Telescope time required was reduced to one-third of conventional methods.
Efficiency improvements of 3x, 2x, and 1.3x for different scan types.
Abstract
We have developed the Smoothed Bandpass Calibration (SBC) method and the best suitable scan pattern to optimize radio spectroscopic observations. Adequate spectral smoothing is applied to the spectrum toward OFF-source blank sky adjacent to a target source direction for the purpose of bandpass correction. Because the smoothing process reduces noise, the integration time for OFF-source scans can be reduced keeping the signal-to-noise ratio. Since the smoothing is not applied to ON-source scans, the spectral resolution for line features is kept. An optimal smoothing window is determined by bandpass flatness evaluated by Spectral Allan Variance (SAV). An efficient scan pattern is designed to the OFF-source scans within the bandpass stability timescale estimated by Time-based Allan Variance (TAV). We have tested the SBC using the digital spectrometer, VESPA, on the VERA Iriki station. For…
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