RHESSI Data Analysis Workshop

October 18 to 22, 2004

Space Sciences Laboratory
University of California
Berkeley CA

Recognizing that the RHESSI (Ramaty High Energy Solar Spectroscopic Imager)
observations have tremendous potential but require non-traditional analysis
techniques, the 2003 Senior Review recommended that NASA provide support for
training in data usage and dissemination. In response, the RHESSI team is
planning a week-long workshop designed to train researchers in the RHESSI
data analysis methods, including the latest developments in the software
tools.

The workshop is designed as an intense hands-on workshop for interested
scientists at all levels of expertise, from beginners to power users.  The
workshop will include descriptive talks and demonstrations by the experts,
including the developers of the analysis software, as well as time for
one-on-one discussions on individual areas of interest.

The first day will be focused exclusively on the basics, and is designed
primarily for those who are unfamiliar with the instrument and have had no
hands-on experience with the RHESSI software procedures. It will include
introductions to high-energy solar physics, to the RHESSI mission and
instrumentation, and to the Graphical User Interface (GUI).

The second day is devoted to more advanced material of particular interest
to experienced users, but nevertheless will be of value to beginners as
well. The third through fifth days will include material and techniques for
all levels of users. A more detailed agenda can be found on the workshop web
site at:

 http://sprg.ssl.berkeley.edu:80/RHESSI/daw04/

Significant time will be set aside for attendees to practice the analysis
procedures on their own laptops and to interact with RHESSI experts, most of
whom will be in attendance all week.

To facilitate one-on-one training, the number of attendees at the Berkeley
workshop will be limited. A second workshop at or near Goddard is planned
about 6 months later to accommodate the overflow. Preference will be given
to hands-on users of RHESSI data, in particular, students and post-docs.
Limited financial aid is available for students.

To register, please send an email to rhessiws@ssl.berkeley.edu with the
following information:

Name:

Nationality:

Institution:

Address:

Telephone:

FAX:

Email address:

Level of Expertise: Beginner, User at GUI level, User at CLI (Command Line
Interface) level, Expert

Previous work with RHESSI data:

Topics of interest:

Days attending workshop:

Request for financial support, if applicable, with justification: