CS2 absorption cross-sections measurement in 280–360nm region using least absolute deviation method

• Ultraviolet absorption cross-sections of carbon disulfide in 280-360 nm were measured. • The new measured spectrum is at a resolution of 1 cm −1 with about 10% error in the high signal-to-noise region. • A new algorithm using the least absolute deviation linear regression was applied to improve the data quality. We present ultraviolet absorption cross-sections of carbon disulfide (CS 2 ) in the 280-360 nm region at a resolution of 1 cm −1 . A novel algorithm, based on least absolute deviation (LAD) linear regression, was employed to calculate the cross-sections, achieving approximately 10% error in the high signal-to-noise (SNR) band region. The proposed algorithm is broadly applicable to spectral calculations requiring high resolution and accuracy. Compared to existing data, which are predominantly low-resolution or incomplete, our measurements significantly enhance data quality, particularly in the band region with wavelengths longer than 320 nm, where solar radiation reaches the Earth’s surface. Additionally, we introduce a novel CS 2 photoexcitation reaction rate constant, J , under average global solar irradiance conditions. Furthermore, the propagated errors in the J values derived from the newly reported spectra have been reduced by two orders of magnitude, significantly enhancing the reliability of our measurements.

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Publication Details

Journal
Journal of Quantitative Spectroscopy and Radiative Transfer
Published
2025-06-22
DOI
https://doi.org/10.1016/j.jqsrt.2025.109569
Primary Topic
Spectroscopy and Laser Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

CS2 absorption cross-sections measurement in 280–360nm region using least absolute deviation method

Yuichiro Ueno, Yuanzhe Li, Sebastian O. Danielache, Shinkoh Nanbu
Journal of Quantitative Spectroscopy and Radiative Transfer
Spectroscopy and Laser Applications
article

CS2 absorption cross-sections measurement in 280–360nm region using least absolute deviation method

Yuichiro Ueno, Yuanzhe Li, Sebastian O. Danielache, Shinkoh Nanbu
article en

Abstract

• Ultraviolet absorption cross-sections of carbon disulfide in 280-360 nm were measured. • The new measured spectrum is at a resolution of 1 cm −1 with about 10% error in the high signal-to-noise region. • A new algorithm using the least absolute deviation linear regression was applied to improve the data quality. We present ultraviolet absorption cross-sections of carbon disulfide (CS 2 ) in the 280-360 nm region at a resolution of 1 cm −1 . A novel algorithm, based on least absolute deviation (LAD) linear regression, was employed to calculate the cross-sections, achieving approximately 10% error in the high signal-to-noise (SNR) band region. The proposed algorithm is broadly applicable to spectral calculations requiring high resolution and accuracy. Compared to existing data, which are predominantly low-resolution or incomplete, our measurements significantly enhance data quality, particularly in the band region with wavelengths longer than 320 nm, where solar radiation reaches the Earth’s surface. Additionally, we introduce a novel CS 2 photoexcitation reaction rate constant, J , under average global solar irradiance conditions. Furthermore, the propagated errors in the J values derived from the newly reported spectra have been reduced by two orders of magnitude, significantly enhancing the reliability of our measurements.

Journal of Quantitative Spectroscopy and Radiative TransferVol. 345
Tokyo Institute of Technology (JP), Planetary Science Institute (US), Japan Agency for Marine-Earth Science and Technology (JP), Life Science Institute (JP), Sophia University (JP)
Japan Society for the Promotion of Science
Openalex Percentile: Top 87%
Spectroscopy and Laser Applications
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CS2 absorption cross-sections measurement in 280–360nm region using least absolute deviation method — Yuichiro Ueno, Yuanzhe Li, et al. · Journal of Quantitative Spectroscopy and Radiative Transfer (2025) | TGRS Research Map | TGRS