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Searching for codes credited to 'Candey, R.'

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[ascl:1804.019] ViSBARD: Visual System for Browsing, Analysis and Retrieval of Data
Roberts, D. Aaron; Boller, Ryan; Rezapkin, V.; Coleman, J.; McGuire, R.; Goldstein, M.; Kalb, V.; Kulkarni, R.; Luckyanova, M.; Byrnes, J.; Kerbel, U.; Candey, R.; Holmes, C.; Chimiak, R.; Harris, B.

ViSBARD interactively visualizes and analyzes space physics data. It provides an interactive integrated 3-D and 2-D environment to determine correlations between measurements across many spacecraft. It supports a variety of spacecraft data products and MHD models and is easily extensible to others. ViSBARD provides a way of visualizing multiple vector and scalar quantities as measured by many spacecraft at once. The data are displayed three-dimesionally along the orbits which may be displayed either as connected lines or as points. The data display allows the rapid determination of vector configurations, correlations between many measurements at multiple points, and global relationships. With the addition of magnetohydrodynamic (MHD) model data, this environment can also be used to validate simulation results with observed data, use simulated data to provide a global context for sparse observed data, and apply feature detection techniques to the simulated data.

[ascl:2405.001] SPEDAS: Space Physics Environment Data Analysis System
Angelopoulos, V.; Cruce, P.; Drozdov, A.; Grimes, E. W.; Hatzigeorgiu, N.; King, D. A.; Larson, D.; Lewis, J. W.; McTiernan, J. M.; Roberts, D. A.; Russell, C. L.; Hori, T.; Kasahara, Y.; Kumamoto, A.; Matsuoka, A.; Miyashita, Y.; Miyoshi, Y.; Shinohara, I.; Teramoto, M.; Faden, J. B.; Halford, A. J.; McCarthy, M.; Millan, R. M.; Sample, J. G.; Smith, D. M.; Woodger, L. A.; Masson, A.; Narock, A. A.; Asamura, K.; Chang, T. F.; Chiang, C. Y.; Kazama, Y.; Keika, K.; Matsuda, S.; Segawa, T.; Seki, K.; Shoji, M.; Tam, S. W. Y.; Umemura, N.; Wang, B. J.; Wang, S. Y.; Redmon, R.; Rodriguez, J. V.; Singer, H. J.; Vandegriff, J.; Abe, S.; Nose, M.; Shinbori, A.; Tanaka, Y. M.; UeNo, S.; Andersson, L.; Dunn, P.; Fowler, C.; Halekas, J. S.; Hara, T.; Harada, Y.; Lee, C. O.; Lillis, R.; Mitchell, D. L.; Argall, M. R.; Bromund, K.; Burch, J. L.; Cohen, I. J.; Galloy, M.; Giles, B.; Jaynes, A. N.; Le Contel, O.; Oka, M.; Phan, T. D.; Walsh, B. M.; Westlake, J.; Wilder, F. D.; Bale, S. D.; Livi, R.; Pulupa, M.; Whittlesey, P.; DeWolfe, A.; Harter, B.; Lucas, E.; Auster, U.; Bonnell, J. W.; Cully, C. M.; Donovan, E.; Ergun, R. E.; Frey, H. U.; Jackel, B.; Keiling, A.; Korth, H.; McFadden, J. P.; Nishimura, Y.; Plaschke, F.; Robert, P.; Turner, D. L.; Weygand, J. M.; Candey, R. M.; Johnson, R. C.; Kovalick, T.; Liu, M. H.; McGuire, R. E.; Breneman, A.; Kersten, K.; Schroeder, P.

The SPEDAS (Space Physics Environment Data Analysis Software) framework supports multi-mission data ingestion, analysis and visualization for the Space Physics community. It standardizes the retrieval of data from distributed repositories, the scientific processing with a powerful set of legacy routines, the quick visualization with full output control and the graph creation for use in papers and presentations. SPEDAS includes a GUI for ease of use by novice users, works on multiple platforms, and though based on IDL, can be used with or without an IDL license. The framework supports plugin modules for multiple projects such as THEMIS, MMS, and WIND, and provides interfaces for software modules developed by the individual teams of those missions. A Python implementation of the framework, PySPEDAS (ascl:2405.005), is also available.