IN11B:
Application Development in Python for Solar and Space Physics Posters


Submit an Abstract to this Session


Session ID#: 46412

Session Description:
Numerous software projects in various branches of astronomy are being developed in or converted to the Python programming language. The solar and space physics communities have begun coordinating related software development efforts. We are working to establish standards and processes, share lessons learned, reduce the incidence of duplicated efforts, identify opportunities for future collaboration, and ensure that existing software tools are interoperable and widely available. This session invites contributions from Python software projects across the Heliophysics and Space Science communities, discussing all aspects of software development for these fields.
Primary Convener:  Alexandria Ware, University of Colorado at Boulder, Boulder, CO, United States
Conveners:  D Aaron Roberts, NASA Goddard SFC, Code 672, Greenbelt, MD, United States, Stuart Mumford, University of Sheffield, SP2RC, School of Mathematics and Statistics, Sheffield, United Kingdom and Dr. Alexa Jean Halford, PhD. , NASA Goddard Space Flight Center, Greenbelt, MD, United States
Primary Liaison:  Alexandria Ware, University of Colorado at Boulder, Boulder, CO, United States
Chairs:  Alexandria Ware, University of Colorado at Boulder, Boulder, CO, United States and D Aaron Roberts, NASA Goddard SFC, Code 672, Greenbelt, MD, United States
OSPA Liaison:  Alexandria Ware, University of Colorado at Boulder, Boulder, CO, United States
Co-Organized with:
Earth and Space Science Informatics, and SPA-Solar and Heliospheric Physics

Cross-Listed:
  • SA - SPA-Aeronomy
  • SH - SPA-Solar and Heliospheric Physics
  • SM - SPA-Magnetospheric Physics

Proposed Co-Organized Session with:
  • SH - SPA-Solar and Heliospheric Physics
Index Terms:

1904 Community standards [INFORMATICS]
1936 Interoperability [INFORMATICS]
1976 Software tools and services [INFORMATICS]
7599 General or miscellaneous [SOLAR PHYSICS, ASTROPHYSICS, AND ASTRONOMY]

Abstracts Submitted to this Session:

Upholding the Scientific Ethos in Scientific Data Analysis (Invited) (350579)
Angeline G Burrell1, Dr. Alexa Jean Halford, PhD. 2, Russell Stoneback1, Jeff Klenzing2 and Adam C Kellerman3, (1)University of Texas at Dallas, Richardson, TX, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States, (3)University of California Los Angeles, Department of Earth, Planetary, and Space Sciences, Los Angeles, United States
Joint Analysis of Solar-Wind Ion Measurements from Multiple Spacecraft Instruments (374720)
Mark Joshua Pultrone, University of Delaware, Newark, DE, United States, Bennett Maruca, Center for Astrophysics, Berkeley, CA, United States, Ramiz A Qudsi, University of Delaware, Department of Physics and Astronomy, Newark, United States and Michael Louis Stevens, Smithsonian Astrophysical Observatory, Cambridge, MA, United States
Data Mining of the MMS Data using Python (378635)
Joey Mukherjee1, Stephen A Fuselier1, Jerry Goldstein2, Roman G Gomez1 and Petrinec M Steven3, (1)Southwest Research Institute, San Antonio, TX, United States, (2)Southwest Research Institute, San Antonio, United States, (3)Lockheed Martin Advanced Technology Center, Palo Alto, CA, United States
Open Source Python Libraries for Visualization and Manipulation of Space Physics Data, Developed by the MAVEN Science Data Center (396033)
Bryan Harter Jr1, Alexandria Ware2, Elysia Lucas1, Ms. Julie I Barnum, MSc1, Dave A Brain3 and Michael Chaffin4, (1)Laboratory for Atmospheric and Space Physics, Boulder, CO, United States, (2)University of Colorado at Boulder, Boulder, CO, United States, (3)University of Colorado at Boulder, Laboratory for Atmospheric and Space Physics, Boulder, United States, (4)University of Colorado Boulder, Laboratory for Atmospheric and Space Physics, Boulder, United States
Open Heliophysics Python Development at the Smallest Scale: An Individual’s Project Becomes Useful to Other Scientists (397893)
Dr. James Paul Mason, PhD, NASA Goddard Space Flight Center, Greenbelt, MD, United States
PlasmaPy: A Community Python Package for Plasma Physics (401465)
Nicholas A Murphy, Center for Astrophysics | Harvard & Smithsonian, Cambridge, MA, United States, Dominik Stańczak, University of Warsaw, Warsaw, Poland, Pawel M Kozlowski, Johns Hopkins University, Balitmore, MD, United States, Andrew J. Leonard, Aperio Software, Sheffield, United Kingdom, Samuel J. Langendorf, Los Alamos National Laboratory, Los Alamos, United States, Jasper P. Beckers, ASML, Veldhoven, Netherlands, Stuart Mumford, University of Sheffield, SP2RC, School of Mathematics and Statistics, Sheffield, United Kingdom, Ritiek Malhotra, Chandigarh University, Chandigarh, India, Tulasi Parashar, University of Delaware, Newark, DE, United States, Colby C Haggerty, University of Chicago, Department of Astronomy and Astrophysics, Chicago, United States, Yi-Min Huang, Princeton University, Princeton Plasma Physics Laboratory, Princeton, NJ, United States and PlasmaPy Community
Forecasting International Space Station Transits of the Sun (415279)
Trevor Winstral, Zurich, Switzerland
The Python Satellite Data Analysis Toolkit: Building Towards an Integrated Future (441483)
Russell Stoneback1, Angeline Burrell1 and Jeff Klenzing2, (1)University of Texas at Dallas, Richardson, TX, United States, (2)NASA Goddard Space Flight Center, Greenbelt, MD, United States
Kameleon Next-Gen: A new python-based architecture for space weather model access and interpolation (442218)
Asher D. Pembroke, NASA Goddard Space Flight Center, Greenbelt, MD, United States, Lutz Rastaetter, NASA Goddard Space Flight Center, Community Coordinated Modeling Center, Greenbelt, MD, United States, Darren De Zeeuw, University of Michigan, Ann Arbor, United States and Ja Soon Shim, Catholic University of America, Washington, DC, United States
SpacePy: Space Physics in the Scientific Python Community (443745)
Jonathan T. Niehof, University of New Hampshire, Durham, United States, Steven Morley, Los Alamos National Laboratory, Space Science and Applications, Los Alamos, United States, Brian Larsen, Los Alamos National Laboratory, Los Alamos, NM, United States and Daniel T Welling, University of Michigan, Ann Arbor, MI, United States
The SunPy Ecosystem (444357)
Daniel Ryan1, Stuart Mumford2, Nabil Freij3, Jack Ireland4, Steven Christe5, Albert Y Shih5 and Sunpy Community, (1)NASA Goddard Space Flight Center, Solar Physics Lab, Greenbelt, MD, United States, (2)University of Sheffield, SP2RC, School of Mathematics and Statistics, Sheffield, United Kingdom, (3)Universitat de les Illes Balears, Physics, Palma, Spain, (4)ADNET Systems Inc. Greenbelt, Greenbelt, MD, United States, (5)NASA GSFC, Solar Physics Lab, Greenbelt, United States
Pyspedas, a Python Implementation of SPEDAS (452349)
James Wilbur Lewis, University of California Berkeley, Berkeley, CA, United States, Vassilis Angelopoulos, University of California Los Angeles, Earth, Planetary, and Space Sciences, Los Angeles, United States, E. W. Grimes, University of California Los Angeles, Department of Earth, Planetary, and Space Sciences, Los Angeles, CA, United States, James M McTiernan, Univ California Berkeley, Berkeley, CA, United States, Nick Hatzigeorgiu, University of California Berkeley, Berkeley, United States, Alexander Drozdov, University of California Los Angeles, Los Angeles, United States and Cynthia Russell, University of California Los Angeles, Department of Earth, Planetary and Space Sciences, Los Angeles, CA, United States
Deriving Plasma Temperatures for Solar Features Using Python (466597)
Amanda Shackelford, NOAA Boulder, Boulder, CO, United States, Jonathan Darnel, NOAA, Boulder, CO, United States, Daniel B Seaton, Southwest Research Institute, Boulder, CO, United States and Vicki Hsu, Cooperative Institute for Research in Environmental Sciences, Boulder, CO, United States

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