{"title":"RAPOC: The Rosseland and Planck opacity converter","authors":"Lorenzo V. Mugnai, Darius Modirrousta-Galian","doi":"10.1007/s10686-022-09869-2","DOIUrl":null,"url":null,"abstract":"<div><p><span>RAPOC</span> (Rosseland and Planck Opacity Converter) is a Python 3 code that calculates Rosseland and Planck mean opacities (RPMs) from wavelength-dependent opacities for a given temperature, pressure, and wavelength range. In addition to being user-friendly and rapid, <span>RAPOC</span> can interpolate between discrete data points, making it flexible and widely applicable to the astrophysical and Earth-sciences fields, as well as in engineering. <span>RAPOC</span> uses <i>ExoMol</i>, <i>DACE</i>, or any user defined input data, provided that it is in a readable format. In this paper, we present the <span>RAPOC</span> code and compare its calculated Rosseland and Planck mean opacities with other values in the literature. <span>RAPOC</span> is open-source and available on Pypi and GitHub.</p></div>","PeriodicalId":551,"journal":{"name":"Experimental Astronomy","volume":"55 2","pages":"521 - 539"},"PeriodicalIF":2.7000,"publicationDate":"2022-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10686-022-09869-2.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Experimental Astronomy","FirstCategoryId":"101","ListUrlMain":"https://link.springer.com/article/10.1007/s10686-022-09869-2","RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ASTRONOMY & ASTROPHYSICS","Score":null,"Total":0}
引用次数: 0
Abstract
RAPOC (Rosseland and Planck Opacity Converter) is a Python 3 code that calculates Rosseland and Planck mean opacities (RPMs) from wavelength-dependent opacities for a given temperature, pressure, and wavelength range. In addition to being user-friendly and rapid, RAPOC can interpolate between discrete data points, making it flexible and widely applicable to the astrophysical and Earth-sciences fields, as well as in engineering. RAPOC uses ExoMol, DACE, or any user defined input data, provided that it is in a readable format. In this paper, we present the RAPOC code and compare its calculated Rosseland and Planck mean opacities with other values in the literature. RAPOC is open-source and available on Pypi and GitHub.
RAPOC (Rosseland and Planck不透明度转换器)是一个Python 3代码，用于计算给定温度，压力和波长范围下波长相关不透明度的Rosseland和Planck平均不透明度(rpm)。除了用户友好和快速之外，RAPOC还可以在离散数据点之间进行插值，使其灵活并广泛适用于天体物理学和地球科学领域以及工程。RAPOC使用ExoMol、DACE或任何用户定义的输入数据，只要它是可读的格式。在本文中，我们提出了RAPOC代码，并将其计算的Rosseland和Planck平均不透明度与文献中的其他值进行了比较。RAPOC是开源的，可以在Pypi和GitHub上获得。
期刊介绍：
Many new instruments for observing astronomical objects at a variety of wavelengths have been and are continually being developed. Furthermore, a vast amount of effort is being put into the development of new techniques for data analysis in order to cope with great streams of data collected by these instruments.
Experimental Astronomy acts as a medium for the publication of papers of contemporary scientific interest on astrophysical instrumentation and methods necessary for the conduct of astronomy at all wavelength fields.
Experimental Astronomy publishes full-length articles, research letters and reviews on developments in detection techniques, instruments, and data analysis and image processing techniques. Occasional special issues are published, giving an in-depth presentation of the instrumentation and/or analysis connected with specific projects, such as satellite experiments or ground-based telescopes, or of specialized techniques.
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