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aion: An R Package to Represent Archaeological TimeSeries aion：表示考古时间序列的 R 软件包
Journal of open source software Pub Date : 2024-04-11 DOI: 10.21105/joss.06210
Nicolas Frerebeau
{"title":"aion: An R Package to Represent Archaeological Time\u0000Series","authors":"Nicolas Frerebeau","doi":"10.21105/joss.06210","DOIUrl":"https://doi.org/10.21105/joss.06210","url":null,"abstract":"aion is designed to provide a consistent framework for representing archaeological time series that can extend very far in the past. aion provides a system of classes and methods to represent and work with such time series. This package does not provide tools for temporal analysis or modeling. Instead, it offers a system of classes and methods to represent and work with archaeological time series. This API can be extended and used by other specialized packages (see kairos v2.0 as an example)","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140715016","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ABSESpy: An agent-based modeling framework forsocial-ecological systems ABSESpy：基于代理的社会生态系统建模框架
Journal of open source software Pub Date : 2024-04-10 DOI: 10.21105/joss.06298
Shuang Song, Shuai Wang, Chentai Jiao, Elías José Mantilla Ibarra
{"title":"ABSESpy: An agent-based modeling framework for\u0000social-ecological systems","authors":"Shuang Song, Shuai Wang, Chentai Jiao, Elías José Mantilla Ibarra","doi":"10.21105/joss.06298","DOIUrl":"https://doi.org/10.21105/joss.06298","url":null,"abstract":"ABSESpy is a novel agent-based modeling (ABM) framework that facilitates socio-ecological systems (SES) research. It serves as an extension package of Mesa , the most popular ABM framework","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140716988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Monte Carlo / Dynamic Code (MC/DC): An acceleratedPython package for fully transient neutron transport and rapid methodsdevelopment 蒙特卡罗/动态代码 (MC/DC)：用于完全瞬态中子输运和快速方法开发的加速 Python 软件包
Journal of open source software Pub Date : 2024-04-09 DOI: 10.21105/joss.06415
Joanna Piper Morgan, Ilham Variansyah, Sam Pasmann, Kayla B. Clements, Braxton Cuneo, Alexander Mote, Charles Goodman, Caleb Shaw, Jordan Northrop, Rohan Pankaj, Ethan Lame, Benjamin Whewell, Ryan G. McClarren, Todd S. Palmer, Lizhong Chen, Dmitriy Anistratov, C. T. Kelley, Camille J. Palmer, Kyle E. Niemeyer
{"title":"Monte Carlo / Dynamic Code (MC/DC): An accelerated\u0000Python package for fully transient neutron transport and rapid methods\u0000development","authors":"Joanna Piper Morgan, Ilham Variansyah, Sam Pasmann, Kayla B. Clements, Braxton Cuneo, Alexander Mote, Charles Goodman, Caleb Shaw, Jordan Northrop, Rohan Pankaj, Ethan Lame, Benjamin Whewell, Ryan G. McClarren, Todd S. Palmer, Lizhong Chen, Dmitriy Anistratov, C. T. Kelley, Camille J. Palmer, Kyle E. Niemeyer","doi":"10.21105/joss.06415","DOIUrl":"https://doi.org/10.21105/joss.06415","url":null,"abstract":"pseudo-random","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140722598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
ClassiPyGRB: Machine Learning-Based Classification andVisualization of Gamma Ray Bursts using t-SNE ClassiPyGRB：使用 t-SNE 对伽马射线暴进行基于机器学习的分类和可视化
Journal of open source software Pub Date : 2024-04-08 DOI: 10.21105/joss.05923
K. Garcia-Cifuentes, R. L. Becerra, F. Colle
{"title":"ClassiPyGRB: Machine Learning-Based Classification and\u0000Visualization of Gamma Ray Bursts using t-SNE","authors":"K. Garcia-Cifuentes, R. L. Becerra, F. Colle","doi":"10.21105/joss.05923","DOIUrl":"https://doi.org/10.21105/joss.05923","url":null,"abstract":"Gamma-ray burst (GRBs) are the brightest events in the universe. For decades, astrophysicists have known about their cosmological nature. Every year, space missions such as Fermi and SWIFT detect hundreds of them. In spite of this large sample, GRBs show a complex taxonomy in the first seconds after their appearance, which makes it very difficult to find similarities between them using conventional techniques. It is known that GRBs originate from the death of a massive star or from the merger of two compact objects. GRB classification is typically based on the duration of the burst (Kouveliotou et al., 1993). Nevertheless, events such as GRB 211211A (Yang et al., 2022), whose duration of about 50 seconds lies in the group of long GRBs, has challenged this categorization by the evidence of features related with the short GRB population (the kilonova emission and the properties of its host galaxy). Therefore, a classification based only on their gamma-ray duration does not provide a completely reliable determination of the progenitor. Motivated by this problem, Jespersen et al. (2020) and Steinhardt et al. (2023) carried out analysis of GRB light curves by using the t-SNE algorithm, showing that Swift/BAT GRBs database, consisting of light curves in four energy bands (15-25 keV, 25-50 keV, 50-100 keV, 100-350 keV), clusters into two groups corresponding with the typical long/short classification. However, in this case, this classification is based on the information provided by their gamma-ray emission light curves. ClassiPyGRB is a Python 3 package to download, process, visualize and classify GRBs database from the Swift/BAT Instrument (up to July 2022). It is distributed over the GNU General Public License Version 2 (1991). We also included a noise-reduction and an interpolation tools for achieving a deeper analysis of the data.","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140729499","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
seesus: a social, environmental, and economicsustainability classifier for Python seesus：Python 的社会、环境和经济可持续性分类器
Journal of open source software Pub Date : 2024-04-08 DOI: 10.21105/joss.06244
Meng Cai, Yingjie Li, Dirk Colbry, Veronica F. Frans, Yuqian Zhang
{"title":"seesus: a social, environmental, and economic\u0000sustainability classifier for Python","authors":"Meng Cai, Yingjie Li, Dirk Colbry, Veronica F. Frans, Yuqian Zhang","doi":"10.21105/joss.06244","DOIUrl":"https://doi.org/10.21105/joss.06244","url":null,"abstract":"","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140729613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
HiddenMarkovModels.jl: generic, fast and reliable statespace modeling HiddenMarkovModels.jl：通用、快速、可靠的状态空间建模
Journal of open source software Pub Date : 2024-04-05 DOI: 10.21105/joss.06436
Guillaume Dalle
{"title":"HiddenMarkovModels.jl: generic, fast and reliable state\u0000space modeling","authors":"Guillaume Dalle","doi":"10.21105/joss.06436","DOIUrl":"https://doi.org/10.21105/joss.06436","url":null,"abstract":"","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140740462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
lbh15: a Python package for standard use andimplementation of physical data of heavy liquid metals used in nuclearreactors lbh15：用于核反应堆所用重金属液态物理数据的标准使用和实现的 Python 软件包
Journal of open source software Pub Date : 2024-04-05 DOI: 10.21105/joss.06383
Gabriele Ottino, Daniele Panico, D. Tomatis, Pierre-Alexandre Pantel
{"title":"lbh15: a Python package for standard use and\u0000implementation of physical data of heavy liquid metals used in nuclear\u0000reactors","authors":"Gabriele Ottino, Daniele Panico, D. Tomatis, Pierre-Alexandre Pantel","doi":"10.21105/joss.06383","DOIUrl":"https://doi.org/10.21105/joss.06383","url":null,"abstract":"","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140738458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
GCIdentifier.jl: A Julia package for identifyingmolecular fragments from SMILES GCIdentifier.jl：从 SMILES 识别分子片段的 Julia 软件包
Journal of open source software Pub Date : 2024-04-05 DOI: 10.21105/joss.06453
Pierre J. Walker, Andrés Riedemann, Zhen-Gang Wang
{"title":"GCIdentifier.jl: A Julia package for identifying\u0000molecular fragments from SMILES","authors":"Pierre J. Walker, Andrés Riedemann, Zhen-Gang Wang","doi":"10.21105/joss.06453","DOIUrl":"https://doi.org/10.21105/joss.06453","url":null,"abstract":"","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140740712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
goFlux: A user-friendly way to calculate GHG fluxesyourself, regardless of user experience goFlux：一种用户友好型方法，无论用户经验如何，都能自行计算温室气体流量
Journal of open source software Pub Date : 2024-04-04 DOI: 10.21105/joss.06393
Karelle Rheault, J. Christiansen, K. Larsen
{"title":"goFlux: A user-friendly way to calculate GHG fluxes\u0000yourself, regardless of user experience","authors":"Karelle Rheault, J. Christiansen, K. Larsen","doi":"10.21105/joss.06393","DOIUrl":"https://doi.org/10.21105/joss.06393","url":null,"abstract":"The R package goFlux has been developed for calculating greenhouse gas (GHG) flux estimates from static chamber measurements. Compared to previous software developed for the same purpose, the goFlux package is not limited to the linear regression approach (LM), but also estimates GHG fluxes from a non-linear regression approach, i.e., the Hutchinson and Mosier model (HM). An automatic selection procedure has been implemented in the package to help users select the best flux estimate (LM or HM) based on objective criteria. In addition, this package can be used to import raw data directly downloaded from a broad selection of instruments (LI-COR, LGR, GAIA2TECH, Gasmet, Picarro, Aeris and PP-Systems). The package is divided into five steps: 1. import raw data into R; 2. define the start and end points of each measurement and assign a UniqueID; 3. calculate GHG flux estimates (LM and HM); 4. automatically select the best flux estimate (LM or HM) based on our default choices of objective criteria; 5. visually inspect the results on plots that can be saved as pdf. For a detailed protocol on how to use this package, visit the webpage https://qepanna.quarto.pub/","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140742401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ZOSPy: optical ray tracing in Python throughOpticStudio ZOSPy：通过 OpticStudio 在 Python 中进行光学光线追踪
Journal of open source software Pub Date : 2024-04-04 DOI: 10.21105/joss.05756
Luc van Vught, Corné Haasjes, Jan-Willem M. Beenakker
{"title":"ZOSPy: optical ray tracing in Python through\u0000OpticStudio","authors":"Luc van Vught, Corné Haasjes, Jan-Willem M. Beenakker","doi":"10.21105/joss.05756","DOIUrl":"https://doi.org/10.21105/joss.05756","url":null,"abstract":"","PeriodicalId":16635,"journal":{"name":"Journal of open source software","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140743747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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