tag:joss.theoj.org,2005:/papers/reviewed_by/@zhampelJournal of Open Source Software2020-02-06T16:49:11ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/11272020-02-06T16:49:11Z2021-02-15T11:31:54ZASCENDS: Advanced data SCiENce toolkit for Non-Data Scientistsacceptedv0.4.02019-07-24 15:01:28 UTC462020-02-06 16:49:11 UTC520201656SangkeunLeeOak Ridge National Laboratory0000-0002-1317-5112JianPengOak Ridge National Laboratory0000-0002-9763-4741AndrewWilliamsCornell UniversityDongwonShinOak Ridge National Laboratory0000-0002-5797-342310.21105/joss.01656https://doi.org/10.5281/zenodo.3635782Python, Jupyter Notebook, JavaScripthttps://joss.theoj.org/papers/10.21105/joss.01656.pdfmachine learning, artificial intelligence, neural networktag:joss.theoj.org,2005:Paper/12772020-02-01T07:09:03Z2021-02-15T11:31:32ZGeometric nested sampling: sampling from distributions defined on non-trivial geometriesacceptedv1.012019-10-04 19:27:27 UTC462020-02-01 07:09:03 UTC520201809KamranJavidKavli Institute for Cosmology Cambridge, Madingley Road, Cambridge, CB3 0HA, United Kingdom, Astrophysics Group, Cavendish Laboratory, JJ Thomson Avenue, Cambridge CB3 0HE, United Kingdom0000-0002-2089-396410.21105/joss.01809https://doi.org/10.5281/zenodo.3569956Pythonhttps://joss.theoj.org/papers/10.21105/joss.01809.pdfNested sampling, Monte Carlo methods, Bayesian inference, Astrophysicstag:joss.theoj.org,2005:Paper/10832019-10-21T08:32:56Z2021-02-15T11:32:02ZBlimpy: Breakthrough Listen I/O Methods for Pythonaccepted1.3.62019-06-28 17:55:34 UTC422019-10-21 08:32:56 UTC420191554DannyC.PriceEqual contribution from both authors, Department of Astronomy, University of California Berkeley, Berkeley CA 94720, United States of America, Centre for Astrophysics & Supercomputing, Swinburne University of Technology, Hawthorn, VIC 3122, Australia0000-0003-2783-1608J.EmilioEnriquezEqual contribution from both authors, Department of Astronomy, University of California Berkeley, Berkeley CA 94720, United States of America, Department of Astrophysics/IMAPP, Radboud University, Nijmegen, Netherlands0000-0003-2516-3546YuhongChenDepartment of Astronomy, University of California Berkeley, Berkeley CA 94720, United States of AmericaMarkSiebertDepartment of Astronomy, University of California Berkeley, Berkeley CA 94720, United States of America10.21105/joss.01554https://doi.org/10.5281/zenodo.3472084Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.01554.pdfastronomy, radio astronomy, technosignatures, SETItag:joss.theoj.org,2005:Paper/5752019-10-01T16:20:58Z2021-02-15T11:33:08ZComet Time Series Visualizer: CometTSacceptedv1.02018-07-31 17:17:16 UTC422019-10-01 16:20:58 UTC420191047JacobShermeyerCosmiQ Works, In-Q-Tel0000-0002-8143-279010.21105/joss.01047https://doi.org/10.5281/zenodo.3418091Python, Jupyter Notebookhttps://joss.theoj.org/papers/10.21105/joss.01047.pdfVisualizer, Remote Sensing, Time Series Analysistag:joss.theoj.org,2005:Paper/11452019-09-10T18:00:47Z2021-02-15T11:31:50ZGoFish: Fishing for Line Observations in Protoplanetary Disksacceptedv1.0.02019-08-02 14:05:29 UTC412019-09-10 18:00:47 UTC420191632RichardTeagueDepartment of Astronomy, University of Michigan, 1085 S. University Ave., Ann Arbor, MI 48109, USA0000-0003-1534-518610.21105/joss.01632https://doi.org/10.5281/zenodo.3403894Pythonhttps://joss.theoj.org/papers/10.21105/joss.01632.pdfastronomytag:joss.theoj.org,2005:Paper/6262018-09-30T12:06:09Z2021-02-15T11:33:00ZdyPolyChord: dynamic nested sampling with PolyChordacceptedv0.0.42018-09-16 10:19:35 UTC292018-09-30 12:06:09 UTC32018965EdwardHigsonCavendish Astrophysics Group, Cavendish Laboratory, J.J.Thomson Avenue, Cambridge, CB3 0HE, UK, Kavli Institute for Cosmology, Madingley Road, Cambridge, CB3 0HA, UK0000-0001-8383-461410.21105/joss.00965https://doi.org/10.5281/zenodo.1439193Pythonhttps://joss.theoj.org/papers/10.21105/joss.00965.pdfnested sampling, dynamic nested sampling, Bayesian inferencetag:joss.theoj.org,2005:Paper/5542018-08-28T15:34:32Z2021-02-15T11:33:12Zfgivenx: A Python package for functional posterior plottingacceptedv2.1.02018-07-18 20:35:11 UTC282018-08-28 15:34:32 UTC32018849WillHandleyAstrophysics Group, Cavendish Laboratory, J.J.Thomson Avenue, Cambridge, CB3 0HE, UK, Kavli Institute for Cosmology, Madingley Road, Cambridge, CB3 0HA, UK, Gonville & Caius College, Trinity Street, Cambridge, CB2 1TA, UK0000-0002-5866-044510.21105/joss.00849https://doi.org/10.5281/zenodo.1404584Pythonhttps://joss.theoj.org/papers/10.21105/joss.00849.pdfStatistics, Bayesian inference, Astronomy