Jun
27
10:35 AM
11:35 AM

Posters

Listed below are confirmed posters for SciPy2013.

Poster session is scheduled for 10:35 AM - 11:35 AM on June 27th.

  1. 3D Perception: Point cloud data processing and visualization
    • Marion, Pat, Kitware;
  2. A Python way to an undergraduate CFD course
    • Jaime Kardontchik
  3. Basic Interactive Unix for Data Processing
    • Hale, Walker, Baylor College of Medicine
  4. Basin-hopping and beyond: Global optimization and energy landscape exploration in molecular systems
    • Jacob Stevenson and Victor Rühle
  5. Code as text: Open source in academia
    • Rey, Sergio, Arizona State University
  6. Data Wrangling with the SheafSystem™
    • Butler, David M., Limit Point Systems, Inc.
  7. Dedalus: A Python-Based Spectral PDE Solver
    • Keaton J. Burns, University of California Berkeley; Jeffrey S. Oishi, American Museum of Natural History; Geoffrey M. Vasil, University of California Berkeley; Daniel Lecoanet, University of California Berkeley; Eliot Quataert, University of California Berkeley
  8. Experimental Mathematics with Python: Calculating Lyapunov exponents of non-elastic billiard models
    • Alonso Espinosa & David P. Sanders* (presenter) Institution: Department of Physics, Faculty of Sciences, Universidad Nacional Autónoma de México (UNAM)
  9. G-mode Clustering Method applied to Asteroid Taxonomy
    • Hasselmann, P. H., Carvano, J. M., Lazzaro, D.
  10. Hearing Assessment: Lessons learned developing a modular solution for audiometric testing
    • Chambers, Robert D., Creare Inc.; Finger, William H., Creare Inc.; Norris, Jesse A., Creare Inc.; Cl
  11. HTSQL - A Navigational Query Language For Relational Databases
    • Charles Tirrell and Clark Evans
  12. IRLB, a fast partial SVD
    • Baglama, Jim, University of Rhode Island; Kane, Michael, Yale
  13. Managing Ensembles of Multi-Processor Jobs with Tex-MECS and PyLauncher
    • Tobis, Michael, Planet 3.0; Eijkhout, Victor, Texas Advanced Computing Center
  14. Mica: data-mining the Chandra archive for satellite operations
    • Jean M. Connelly, Smithsonian Astrophysical Observatory (SAO); Thomas L. Aldcroft, SAO
  15. Modeling elastic wave propagation using PyOpenCL
    • Ursula Iturraran-Viveros and Miguel Molero
  16. Navigating the Scientific Python Communities - the missing guide
    • Ivanov, Paul, UC Berkeley
  17. Peatland data analysis and simulation with Python
    • Reeve, Andrew (University of Maine); Westervelt, Claire (University of Maine)
  18. Powering Recommendations with Distributed Computing using Python and MapReduce
    • Caraciolo, Marcel; Atapassar
  19. PyDocX: Parsing Word documents in order to increase greater collaboration in collaborative writing
    • Portnow, Samuel, University of Virginia; Ward, Jason, PolicyStat LLC; Spies, Jeff, R, Center for Open Science
  20. Scholarly: An open, freely accessible dataset of the academic citation network
    • Rybacki, Harry, UNCG; Carp, Joshua, University of Michigan; Spies, Jeffery, Center for Open Science
  21. Self-documenting runtime: becoming omniscient with Contexture
    • Alexander Kouznetsov
  22. Technical and social challenges in creating the Python ARM Radar Toolkit (Py-ART)
    • Helmus, Jonathan, Argonne National Laboratory; Collis, Scott, Argonne National Laboratory
  23. The UQ Foundation: Supporting the Right Scientific Tools for Reproducibility
    • Drew Marsden1, Michael McKerns2, Houman Owhadi2, Clint Scovel2, Tim Sullivan3
  24. The Use of Python in the Prompt Assessment of Global Earthquake Response (PAGER) System
    • Hearne, Michael, US Geological Survey
  25. Ureka: a distribution of Python & IRAF software for astronomy
    • Turner, James, Gemini Observatory; Slocum, Christine, Space Telescope Science Institute; Sienkiewicz
  26. Using Git to improve reproducibility & transparency
    • Gemayel, Toni, Banyan
  27. Using Python to Study Rotational Velocity Distributions of Hot Stars
    • Bragança, Gustavo, Observatório Nacional; Daflon, Simone, Observatório Nacional
  28. UV-CDAT Re-sharable Analyses and Diagnostics (U-ReAD): a framework to create and share UV-CDAT plugins
    • Doutriaux, Charles, LLNL