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piglot: an Open-source Package for Derivative-freeOptimisation of Numerical Responses piglot：用于数值响应无衍生优化的开源软件包
Journal of open source software Pub Date : 2024-07-23 DOI: 10.21105/joss.06652
R. P. C. Coelho, A. F. C. Alves, T. M. N. Pires, F. M. A. Pires
{"title":"piglot: an Open-source Package for Derivative-free\u0000Optimisation of Numerical Responses","authors":"R. P. C. Coelho, A. F. C. Alves, T. M. N. Pires, F. M. A. Pires","doi":"10.21105/joss.06652","DOIUrl":"https://doi.org/10.21105/joss.06652","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":"117 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141811781","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
Clouddrift: a Python package to accelerate the use ofLagrangian data for atmospheric, oceanic, and climate sciences Clouddrift：用于大气、海洋和气候科学加速使用拉格朗日数据的 Python 软件包
Journal of open source software Pub Date : 2024-07-23 DOI: 10.21105/joss.06742
S. Elipot, Philippe Miron, Milan Curcic, Kevin Santana, Rick Lumpkin
{"title":"Clouddrift: a Python package to accelerate the use of\u0000Lagrangian data for atmospheric, oceanic, and climate sciences","authors":"S. Elipot, Philippe Miron, Milan Curcic, Kevin Santana, Rick Lumpkin","doi":"10.21105/joss.06742","DOIUrl":"https://doi.org/10.21105/joss.06742","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":"35 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141813962","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
NLSE: A Python package to solve the nonlinearSchrödinger equation NLSE：求解非线性薛定谔方程的 Python 软件包
Journal of open source software Pub Date : 2024-07-23 DOI: 10.21105/joss.06607
Tangui Aladjidi, C. Piekarski, Q. Glorieux
{"title":"NLSE: A Python package to solve the nonlinear\u0000Schrödinger equation","authors":"Tangui Aladjidi, C. Piekarski, Q. Glorieux","doi":"10.21105/joss.06607","DOIUrl":"https://doi.org/10.21105/joss.06607","url":null,"abstract":"The nonlinear Schrödinger equation (NLSE) is a general nonlinear equation used to model the propagation of light in nonlinear media. This equation is mathematically isomorphic to the Gross-Pitaevskii equation (GPE) (Pitaevskij & Stringari, 2016) describing the evolution of cold atomic ensembles. Recently, the growing field of quantum fluids of light (Carusotto & Ciuti, 2013) has proven a fruitful testbed for several fundamental quantum and classical phenomena such as superfluidity (Michel et al., 2018) or turbulence (Baker-Rasooli et al., 2023). Providing a flexible, modern and performant framework to solve these equations is crucial to model realistic experimental scenarios.","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":"31 17","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141814288","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
OMEGA-Py: Python Tools for OMEGA Data OMEGA-Py：用于 OMEGA 数据的 Python 工具
Journal of open source software Pub Date : 2024-07-20 DOI: 10.21105/joss.06566
A. Stcherbinine, Y. Langevin, John Carter, M. Vincendon, Y. Leseigneur, O. Barraud
{"title":"OMEGA-Py: Python Tools for OMEGA Data","authors":"A. Stcherbinine, Y. Langevin, John Carter, M. Vincendon, Y. Leseigneur, O. Barraud","doi":"10.21105/joss.06566","DOIUrl":"https://doi.org/10.21105/joss.06566","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":"29 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141819497","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
TelescopeML – I. An End-to-End Python Package forInterpreting Telescope Datasets through Training Machine LearningModels, Generating Statistical Reports, and Visualizing Results TelescopeML - I. 通过训练机器学习模型、生成统计报告和可视化结果来解释望远镜数据集的端到端 Python 软件包
Journal of open source software Pub Date : 2024-07-18 DOI: 10.21105/joss.06346
E. Gharib-Nezhad, N. Batalha, Hamed Valizadegan, Miguel J. S. Martinho, M. Habibi, Gopal Nookula
{"title":"TelescopeML – I. An End-to-End Python Package for\u0000Interpreting Telescope Datasets through Training Machine Learning\u0000Models, Generating Statistical Reports, and Visualizing Results","authors":"E. Gharib-Nezhad, N. Batalha, Hamed Valizadegan, Miguel J. S. Martinho, M. Habibi, Gopal Nookula","doi":"10.21105/joss.06346","DOIUrl":"https://doi.org/10.21105/joss.06346","url":null,"abstract":"We are on the verge of a revolutionary era in space exploration, thanks to advancements in telescopes such as the James Webb Space Telescope (textit{JWST}). High-resolution, high signal-to-noise spectra from exoplanet and brown dwarf atmospheres have been collected over the past few decades, requiring the development of accurate and reliable pipelines and tools for their analysis. Accurately and swiftly determining the spectroscopic parameters from the observational spectra of these objects is crucial for understanding their atmospheric composition and guiding future follow-up observations. texttt{TelescopeML} is a Python package developed to perform three main tasks: 1. Process the synthetic astronomical datasets for training a CNN model and prepare the observational dataset for later use for prediction; 2. Train a CNN model by implementing the optimal hyperparameters; and 3. Deploy the trained CNN models on the actual observational data to derive the output spectroscopic parameters.","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":" 42","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141824288","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
open Delft Advanced Research Terra Simulator(open-DARTS) 开放式代尔夫特高级研究地球模拟器（open-DARTS）
Journal of open source software Pub Date : 2024-07-18 DOI: 10.21105/joss.06737
Denis Voskov, Ilshat Saifullin, Aleks Novikov, M. Wapperom, Luisa Orozco, G. S. Seabra, Yuan Chen, M. Khait, Xiaocong Lyu, Xiaoming Tian, Stephan de Hoop, Artur Palha
{"title":"open Delft Advanced Research Terra Simulator\u0000(open-DARTS)","authors":"Denis Voskov, Ilshat Saifullin, Aleks Novikov, M. Wapperom, Luisa Orozco, G. S. Seabra, Yuan Chen, M. Khait, Xiaocong Lyu, Xiaoming Tian, Stephan de Hoop, Artur Palha","doi":"10.21105/joss.06737","DOIUrl":"https://doi.org/10.21105/joss.06737","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":" 9","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141824035","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
MOLE: Mimetic Operators Library Enhanced MOLE：增强型拟态运算符库
Journal of open source software Pub Date : 2024-07-17 DOI: 10.21105/joss.06288
Johnny Corbino, Miguel A. Dumett, Jose E. Castillo
{"title":"MOLE: Mimetic Operators Library Enhanced","authors":"Johnny Corbino, Miguel A. Dumett, Jose E. Castillo","doi":"10.21105/joss.06288","DOIUrl":"https://doi.org/10.21105/joss.06288","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":" 2","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141829480","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
MIRP: A Python package for standardisedradiomics MIRP：用于标准化放射组学的 Python 软件包
Journal of open source software Pub Date : 2024-07-17 DOI: 10.21105/joss.06413
A. Zwanenburg, Steffen Löck
{"title":"MIRP: A Python package for standardised\u0000radiomics","authors":"A. Zwanenburg, Steffen Löck","doi":"10.21105/joss.06413","DOIUrl":"https://doi.org/10.21105/joss.06413","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":" 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828185","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
SubsetTools: A Python package to subset data to buildand run ParFlow hydrologic models 子集工具：用于子集数据以构建和运行 ParFlow 水文模型的 Python 软件包
Journal of open source software Pub Date : 2024-07-17 DOI: 10.21105/joss.06752
Amanda Triplett, Georgios Artavanis, W. Hasling, Reed M. Maxwell, Amy Defnet, Amy M. Johnson, William Lytle, Andrew Bennett, Elena Leonarduzzi, Lisa K. Gallagher, L. Condon
{"title":"SubsetTools: A Python package to subset data to build\u0000and run ParFlow hydrologic models","authors":"Amanda Triplett, Georgios Artavanis, W. Hasling, Reed M. Maxwell, Amy Defnet, Amy M. Johnson, William Lytle, Andrew Bennett, Elena Leonarduzzi, Lisa K. Gallagher, L. Condon","doi":"10.21105/joss.06752","DOIUrl":"https://doi.org/10.21105/joss.06752","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":" 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141828080","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
scribl: A system for the semantic capture ofrelationships in biological literature scribl：生物文献关系语义捕捉系统
Journal of open source software Pub Date : 2024-07-17 DOI: 10.21105/joss.06645
Gordon D. Webster, Alexander K. Lancaster
{"title":"scribl: A system for the semantic capture of\u0000relationships in biological literature","authors":"Gordon D. Webster, Alexander K. Lancaster","doi":"10.21105/joss.06645","DOIUrl":"https://doi.org/10.21105/joss.06645","url":null,"abstract":"","PeriodicalId":94101,"journal":{"name":"Journal of open source software","volume":" 38","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141831412","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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