Tools for data analysis
How to use Arase data
Other Spacecraft and Ground-Based Observations
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Conjunction Event Finder (CEF)
- Outline of CEF Data ARchives and Transmission System (DARTS)
- Reference: Miyashita et al.. Earth Planet Sp 63, e1–e4 (2011). https://doi.org/10.5047/eps.2011.01.003
- CEF moved from DARTS of C-SODA/ISAS/JAXA to ERG Science Center at STEL (ISEE at present), Nagoya University in 2013.
- ERG-GBO Conjunction Interval Finder (To find future conjunctions of ERG spacecraft and optical observations)
- ERG-SuperDARN conjunction summary
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Links to Various QL Plots
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Magnetospheric Spacecraft:
Geotail 2-hour plots Geotail 4-hour plots MMS 1-hour, 2-hour, and ROI plots THEMIS 2-hour plots Cluster 2-hour plots Double Star TC1 2-hour plots Double Star TC2 2-hour plots-
Low-Altitude Spacecraft:
Akebono 2-hour plots Reimei plots for each path
pySPEDAS（Python-based SPEDAS）
- pySPEDAS Documentation
- Wiki of pySPEDAS
- GitHub : bleeding edge
- PyPI : stable distribution of pySPEDAS
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Installation manual（WG only）
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Sample programs of ERG-SC plug-in for pySPEDAS
SPEDAS
- ERG plug-in tools
- stable distribution
- bleeding edge
- ERG installation manual
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The text of training course
- Beginner course
- "SPEDAS training session -Beginner course-"
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説明動画(English)
1&2: Introduction (テキスト p.1～7)
3: Basics of SPEDAS: tplot and tplot variable #1 (テキスト p.8～15)
4: Basics of SPEDAS: tplot and tplot variable #2 (テキスト p.16～20)
5: Basics of SPEDAS: tplot and tplot variable #3 (テキスト p.21～25)
6: Basics of SPEDAS: Various filtering routines for tplot data (テキスト p.26～29)
7: Basics of SPEDAS: Frequency analysis of tplot data (テキスト p.26～29)
- Plots of ERG orbit and ionospheric footprint
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textbook
SPEDAS training course: ERG orbit and footprint (Oct., 2021) -
Crib sheet
SPEDAS training course: ERG orbit and footprint (Oct., 2021) -
movie
Youtube Channel - ERG part_products
- ISEE_3D
- Reference: Keika et al., EPS (2017) https://doi.org/10.1186/s40623-017-0761-9
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Visualization tool for three-dimensional plasma velocity distributions (ISEE_3D) as a plug-in for SPEDAS