Learning JWST Data Analysis With the JWebbinars

STScI will be hosting a set of JWebbinars to teach the JWST community about tools and methods to analyze data from the James Webb Space Telescope. Each JWebbinar will provide virtual, hands-on instruction on common data analysis methods for JWST observations.

Typical JWebbinar topics may include:

  • Overview of data analysis tools and data products
  • The JWST pipeline for imaging
  • The JWST pipeline for spectroscopy
  • Analyzing IFUs and spectral cubes
  • Analyzing MIRI photometry
  • Analyzing time series spectroscopy

The JWebbinars will be led by experts from STScI and the JWST Observer community. Participants will be given hands-on experience with the data analysis tools. A virtual programming environment will be provided so that participants will not be required to install software prior to attending the event.

The JWST data analysis ecosystem is based on Python and it is recommend that participants be familiar with basic Python coding and the Jupyter notebook interface to get the most out of the JWebbinars.

JWebbinars will begin in April 2021 with 2-3 occurring each month at various times to accommodate different time zones and work schedules. A schedule of events and registration links will be available in March 2021 and will be announced via JWST Observer at that time. 

All JWebbinars will be recorded and the teaching material will be available to download for asynchronous instruction after the event has occurred.

If you have questions about the JWebbinar events please contact the JWST Help Desk.



For technical assistance, please contact the JWST Help Desk.


The NASA James Webb Space Telescope, developed in partnership with ESA and CSA, is operated by AURA’s Space Telescope Science Institute.