{"title":"Reducing round-off errors using pair-precision technique and its application to the orbit integration","authors":"Burçak Yeşilırmak, Murat Ak","doi":"10.2139/ssrn.4339714","DOIUrl":"https://doi.org/10.2139/ssrn.4339714","url":null,"abstract":"","PeriodicalId":8590,"journal":{"name":"Astron. Comput.","volume":"1 1","pages":"100706"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83157491","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}
Y. E. jariri, F. Sefyani, A. Benhida, Z. Benkhaldoun, K. Kolenberg, K. Chafouai, Abdelfettah Habib, M. Sabil
{"title":"New tool in python for spectroscopic data analysis: Application to variable stars data from the Oukaimden and OHP observatories","authors":"Y. E. jariri, F. Sefyani, A. Benhida, Z. Benkhaldoun, K. Kolenberg, K. Chafouai, Abdelfettah Habib, M. Sabil","doi":"10.2139/ssrn.4334682","DOIUrl":"https://doi.org/10.2139/ssrn.4334682","url":null,"abstract":"","PeriodicalId":8590,"journal":{"name":"Astron. Comput.","volume":"6 1","pages":"100708"},"PeriodicalIF":0.0,"publicationDate":"2023-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78412672","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}
D. R. Scott, H. Cho, C. K. Day, A. Deller, M. Głowacki, K. Gourdji, K. Bannister, A. Bera, S. Bhandari, C. W. James, R. I. F. S. Research, C. University, C. F. A. HarvardSmithsonian, D. Physics, M. University, Centre for Gravitational Astrophysics, Supercomputing, S. U. Technology, Csiro Space, Astronomy, Australia Telescope National Facility, Astron, N. F. F. R. Astronomy, J. Eric, A. G. I. F. Astronomy, U. Amsterdam
Fast radio bursts (FRBs) are being detected with increasing regularity. However, their spontaneous and often once-off nature makes high-precision burst position and frequency-time structure measurements difficult without specialised real-time detection techniques and instrumentation. The Australian Square Kilometre Array Pathfinder (ASKAP) has been enabled by the Commensal Real-time ASKAP Fast Transients Collaboration (CRAFT) to detect FRBs in real-time and save raw antenna voltages containing FRB detections. We present the CRAFT Effortless Localisation and Enhanced Burst Inspection pipeline (CELEBI), an automated software pipeline that extends CRAFT's existing software to process ASKAP voltages in order to produce sub-arcsecond precision localisations and polarimetric data at time resolutions as fine as 3 ns of FRB events. We use Nextflow to link together Bash and Python code that performs software correlation, interferometric imaging, and beamforming, making use of common astronomical software packages.
{"title":"CELEBI: The CRAFT Effortless Localisation and Enhanced Burst Inspection pipeline","authors":"D. R. Scott, H. Cho, C. K. Day, A. Deller, M. Głowacki, K. Gourdji, K. Bannister, A. Bera, S. Bhandari, C. W. James, R. I. F. S. Research, C. University, C. F. A. HarvardSmithsonian, D. Physics, M. University, Centre for Gravitational Astrophysics, Supercomputing, S. U. Technology, Csiro Space, Astronomy, Australia Telescope National Facility, Astron, N. F. F. R. Astronomy, J. Eric, A. G. I. F. Astronomy, U. Amsterdam","doi":"10.2139/ssrn.4347158","DOIUrl":"https://doi.org/10.2139/ssrn.4347158","url":null,"abstract":"Fast radio bursts (FRBs) are being detected with increasing regularity. However, their spontaneous and often once-off nature makes high-precision burst position and frequency-time structure measurements difficult without specialised real-time detection techniques and instrumentation. The Australian Square Kilometre Array Pathfinder (ASKAP) has been enabled by the Commensal Real-time ASKAP Fast Transients Collaboration (CRAFT) to detect FRBs in real-time and save raw antenna voltages containing FRB detections. We present the CRAFT Effortless Localisation and Enhanced Burst Inspection pipeline (CELEBI), an automated software pipeline that extends CRAFT's existing software to process ASKAP voltages in order to produce sub-arcsecond precision localisations and polarimetric data at time resolutions as fine as 3 ns of FRB events. We use Nextflow to link together Bash and Python code that performs software correlation, interferometric imaging, and beamforming, making use of common astronomical software packages.","PeriodicalId":8590,"journal":{"name":"Astron. Comput.","volume":"19 1","pages":"100724"},"PeriodicalIF":0.0,"publicationDate":"2023-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91144119","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}
We present Sengi ( this http URL, this https URL ), an online tool for viewing the spectral outputs of stellar population synthesis (SPS) codes. Typical SPS codes require significant disk space or computing resources to produce spectra for simple stellar populations with arbitrary parameters. This makes it difficult to present their results in an interactive, web-friendly format. Sengi uses Non-negative Matrix Factorisation (NMF) and bilinear interpolation to estimate output spectra for arbitrary values of stellar age and metallicity. The reduced disk requirements and computational expense allows the result to be served as a client-based Javascript application. In this paper we present the method for generating grids of spectra, fitting those grids with NMF, bilinear interpolation across the fitted coefficients, and finally provide estimates of the prediction and interpolation errors.
{"title":"Sengi: A small, fast, interactive viewer for spectral outputs from stellar population synthesis models","authors":"C. Lovell","doi":"10.5281/zenodo.3554532","DOIUrl":"https://doi.org/10.5281/zenodo.3554532","url":null,"abstract":"We present Sengi ( this http URL, this https URL ), an online tool for viewing the spectral outputs of stellar population synthesis (SPS) codes. Typical SPS codes require significant disk space or computing resources to produce spectra for simple stellar populations with arbitrary parameters. This makes it difficult to present their results in an interactive, web-friendly format. Sengi uses Non-negative Matrix Factorisation (NMF) and bilinear interpolation to estimate output spectra for arbitrary values of stellar age and metallicity. The reduced disk requirements and computational expense allows the result to be served as a client-based Javascript application. In this paper we present the method for generating grids of spectra, fitting those grids with NMF, bilinear interpolation across the fitted coefficients, and finally provide estimates of the prediction and interpolation errors.","PeriodicalId":8590,"journal":{"name":"Astron. Comput.","volume":"37 1","pages":"100444"},"PeriodicalIF":0.0,"publicationDate":"2019-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75224879","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}
Pub Date : 2019-01-01DOI: 10.1016/J.ASCOM.2018.09.009
Eusebio Sánchez, J. Castro-Chacón, J. S. Silva, J. B. Hernández-Águila, M. Reyes-Ruiz, Carlos Alberto Guerrero Peña, B. Hernández-Valencia, F. I. Alvarez-Santana, M. T. García-Díaz
{"title":"APPHi: An automated photometry pipeline for high cadence, large volume data","authors":"Eusebio Sánchez, J. Castro-Chacón, J. S. Silva, J. B. Hernández-Águila, M. Reyes-Ruiz, Carlos Alberto Guerrero Peña, B. Hernández-Valencia, F. I. Alvarez-Santana, M. T. García-Díaz","doi":"10.1016/J.ASCOM.2018.09.009","DOIUrl":"https://doi.org/10.1016/J.ASCOM.2018.09.009","url":null,"abstract":"","PeriodicalId":8590,"journal":{"name":"Astron. Comput.","volume":"37 1","pages":"1-13"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76396505","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}
Pub Date : 2019-01-01DOI: 10.1016/J.ASCOM.2018.11.002
B. Benson, W. Pan, G. A. Gary, Q. Hu, Tyler Staudinger
{"title":"Determining the parameter for the linear force-free magnetic field model with multi-dipolar configurations using deep neural networks","authors":"B. Benson, W. Pan, G. A. Gary, Q. Hu, Tyler Staudinger","doi":"10.1016/J.ASCOM.2018.11.002","DOIUrl":"https://doi.org/10.1016/J.ASCOM.2018.11.002","url":null,"abstract":"","PeriodicalId":8590,"journal":{"name":"Astron. Comput.","volume":"19 1","pages":"50-60"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91161219","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}
Pub Date : 2018-11-20DOI: 10.1016/j.ascom.2019.02.003
Xin Xu, J. Cisewski-Kehe, S. B. Green, D. Nagai
{"title":"Finding cosmic voids and filament loops using topological data analysis","authors":"Xin Xu, J. Cisewski-Kehe, S. B. Green, D. Nagai","doi":"10.1016/j.ascom.2019.02.003","DOIUrl":"https://doi.org/10.1016/j.ascom.2019.02.003","url":null,"abstract":"","PeriodicalId":8590,"journal":{"name":"Astron. Comput.","volume":"20 1","pages":"34-52"},"PeriodicalIF":0.0,"publicationDate":"2018-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91155916","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}
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