最小绝对偏差法测量280 ~ 360 nm区域CS2吸收截面

IF 1.9 3区 物理与天体物理 Q2 OPTICS
Yuanzhe Li , Sebastian Oscar Danielache , Shinkoh Nanbu , Yuichiro Ueno
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引用次数: 0

摘要

我们以1 cm−1的分辨率绘制了二硫化碳(CS2)在280-360 nm区域的紫外吸收截面。采用一种基于最小绝对偏差(LAD)线性回归的新算法计算截面,在高信噪比(SNR)频带区域误差约为10%。该算法可广泛应用于高分辨率、高精度的光谱计算。与现有的主要是低分辨率或不完整的数据相比,我们的测量显著提高了数据质量,特别是在波长超过320纳米的波段区域,太阳辐射到达地球表面。此外,我们引入了在平均太阳辐照度条件下新的CS2光激发反应速率常数J。此外,从新报道的光谱中得到的J值的传播误差降低了两个数量级,显著提高了我们测量的可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CS2 absorption cross-sections measurement in 280–360nm region using least absolute deviation method
We present ultraviolet absorption cross-sections of carbon disulfide (CS2) 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 CS2 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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来源期刊
CiteScore
5.30
自引率
21.70%
发文量
273
审稿时长
58 days
期刊介绍: Papers with the following subject areas are suitable for publication in the Journal of Quantitative Spectroscopy and Radiative Transfer: - Theoretical and experimental aspects of the spectra of atoms, molecules, ions, and plasmas. - Spectral lineshape studies including models and computational algorithms. - Atmospheric spectroscopy. - Theoretical and experimental aspects of light scattering. - Application of light scattering in particle characterization and remote sensing. - Application of light scattering in biological sciences and medicine. - Radiative transfer in absorbing, emitting, and scattering media. - Radiative transfer in stochastic media.
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