Benoît Seignovert
🌍 Planetary data scientist 🌔
JUICE on ESA DataLabs
DataLabs workshop 2022
B. Seignovert, G. Tobie, C. Vallat, N. Altobelli, I. Belgacem & M. Costa
Science planning opportunities and coverage analysis
JUICE
- ESA L-1 mission
- Selected in 2012
- Launch in April 2023
- Arrived at Jupiter in 2031
- Orbit around Ganymede in 2035
Mission planning
1 - Timelines and filtering
2 - Tracks and footprints
3 - Regions of interest intersections
SPICE
🌶 🤔
SPICE
- Developed by NASA / JPL
- Started in 1982
- 1st public release ~1995
- Used in many space missions
- Fully tested
- Very reliable
- C / Fortran / IDL / Matlab / Java
pacecraft
lanet
nstrument
amera
vents
SPICE
- Expert users
- Mission / instrument specific
- Complex setup
- Very large kernels dataset
pacecraft
lanet
nstrument
amera
vents
See Alfredo Escalante talk at 3 PM
-coverage
moon
-
Python
3.8+object oriented library -
Open-source
BSDlicence -
Use only
numpy,matplotlibandspiceypy
- Developed at the LPG/Nantes Université
- Founded by ESA JUICE SOC
- Fully tested and documented package
- Available on PyPI (
0.12.0) - Deployed on ESA Datlabs in April 2021
pip install moon-coverageHow to install it?
Python
Coming soon…
Conda-Forge
import matplotlib.pyplot as plt
from moon_coverage import TourConfig, CALLISTO, CallistoROIs
tour = TourConfig(mk=5.0, spacecraft='JUICE', instrument='MAJIS_IR', target='Callisto')
fig = plt.figure()
ax = fig.add_subplot(projection=CALLISTO)
ax.add_collection(CallistoROIs(edgecolor='white', linestyle='--'))
for flyby in tour.flybys:
traj = flyby.where((flyby.alt < 750) & (flyby.inc < 90))
ax.add_collection(traj.fovs('inc', vmin=0, vmax=90))
if traj in CallistoROIs:
ax.plot(traj & CallistoROIs, color='red')
ax.add_collection((CallistoROIs & traj)(edgecolor='red'))
ax.colorbar(vmin=0, vmax=90, label='inc', extend='max')✍️ 20 lines from scratch to plot! 📈
Callisto flybys planning
Demo time ! 👀
DataLabs advantages
- No setup for the user
- Access to all ESA SPICE kernels (no download required)
- Re-use of existing notebooks (git plugin)
Current limitations
- Limited number of users
- Volume manual mounting
- No team shared workspaces
- Tools upgrade (👉 SciApps)
- Real time collaboration
- Open in ESA DataLabs
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This presentation:
The tool:
Contact us:
DataLabs 2022
By Benoît Seignovert
DataLabs 2022
Movember 24, 2022 | ESA DataLabs workshop
