{"title":"MCSpectra*:一个在线工具,用于逐行光谱模拟与不确定度量化","authors":"Ihsan Farouki, Bassam Dally, Aamir Farooq","doi":"10.1016/j.jqsrt.2025.109500","DOIUrl":null,"url":null,"abstract":"<div><div>Line-by-line databases such as HITRAN enable the simulation of high-resolution molecular absorbance and emission spectra, which are indispensable for the development and application of spectroscopic diagnostics. Multiple tools reported in the literature have been built to assist with calculating absorbance and emission spectra based on line-by-line data. However, the available tools lack the essential function of propagating the uncertainty in line parameters into simulated spectra. This work presents MCSpectra: an online tool which aims at addressing this critical shortcoming. The main highlight of the presented tool is the implementation of the Monte Carlo method to estimate uncertainties in simulated spectra. Line parameter uncertainties reported in the HITRAN database and/or uncertainties in experimental conditions are propagated by simulating a large number of spectra each corresponding to a set of randomly sampled spectral parameters. In addition, MCSpectra introduces a few unique features not offered by previous tools, such as manual control of line parameters which enables the user to selectively over-ride HITRAN database parameters. The utility of this new tool to the community is showcased by presenting and interpreting representative simulated spectra. The results emphasize that the uncertainties associated with simulated absorbance and emission spectra vary considerably depending on the species, wavelength range, temperature and pressure.</div></div>","PeriodicalId":16935,"journal":{"name":"Journal of Quantitative Spectroscopy & Radiative Transfer","volume":"342 ","pages":"Article 109500"},"PeriodicalIF":2.3000,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MCSpectra*: An online tool for line-by-line spectral simulations with uncertainty quantification\",\"authors\":\"Ihsan Farouki, Bassam Dally, Aamir Farooq\",\"doi\":\"10.1016/j.jqsrt.2025.109500\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Line-by-line databases such as HITRAN enable the simulation of high-resolution molecular absorbance and emission spectra, which are indispensable for the development and application of spectroscopic diagnostics. Multiple tools reported in the literature have been built to assist with calculating absorbance and emission spectra based on line-by-line data. However, the available tools lack the essential function of propagating the uncertainty in line parameters into simulated spectra. This work presents MCSpectra: an online tool which aims at addressing this critical shortcoming. The main highlight of the presented tool is the implementation of the Monte Carlo method to estimate uncertainties in simulated spectra. Line parameter uncertainties reported in the HITRAN database and/or uncertainties in experimental conditions are propagated by simulating a large number of spectra each corresponding to a set of randomly sampled spectral parameters. In addition, MCSpectra introduces a few unique features not offered by previous tools, such as manual control of line parameters which enables the user to selectively over-ride HITRAN database parameters. The utility of this new tool to the community is showcased by presenting and interpreting representative simulated spectra. The results emphasize that the uncertainties associated with simulated absorbance and emission spectra vary considerably depending on the species, wavelength range, temperature and pressure.</div></div>\",\"PeriodicalId\":16935,\"journal\":{\"name\":\"Journal of Quantitative Spectroscopy & Radiative Transfer\",\"volume\":\"342 \",\"pages\":\"Article 109500\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2025-04-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Quantitative Spectroscopy & Radiative Transfer\",\"FirstCategoryId\":\"101\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0022407325001621\",\"RegionNum\":3,\"RegionCategory\":\"物理与天体物理\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"OPTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Quantitative Spectroscopy & Radiative Transfer","FirstCategoryId":"101","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022407325001621","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"OPTICS","Score":null,"Total":0}
MCSpectra*: An online tool for line-by-line spectral simulations with uncertainty quantification
Line-by-line databases such as HITRAN enable the simulation of high-resolution molecular absorbance and emission spectra, which are indispensable for the development and application of spectroscopic diagnostics. Multiple tools reported in the literature have been built to assist with calculating absorbance and emission spectra based on line-by-line data. However, the available tools lack the essential function of propagating the uncertainty in line parameters into simulated spectra. This work presents MCSpectra: an online tool which aims at addressing this critical shortcoming. The main highlight of the presented tool is the implementation of the Monte Carlo method to estimate uncertainties in simulated spectra. Line parameter uncertainties reported in the HITRAN database and/or uncertainties in experimental conditions are propagated by simulating a large number of spectra each corresponding to a set of randomly sampled spectral parameters. In addition, MCSpectra introduces a few unique features not offered by previous tools, such as manual control of line parameters which enables the user to selectively over-ride HITRAN database parameters. The utility of this new tool to the community is showcased by presenting and interpreting representative simulated spectra. The results emphasize that the uncertainties associated with simulated absorbance and emission spectra vary considerably depending on the species, wavelength range, temperature and pressure.
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.