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Spitzer Data Analysis Workshop #3
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Contents: Overview | Agenda (includes talks) | Feedback Form | Registration
This free 5-day tutorial-style workshop is intended for Guest (GO) Observers or Archival (AR) researchers in Cycle 1 and Cycle 2 who wish to learn more about analyzing their Spitzer Space Telescope data with the various tools supported by the Spitzer Science Center (SSC). The workshop will occur at the SSC (Keith Spalding Bldg.) on the campus of the California Institute of Technology (Caltech) in Pasadena, CA, USA. The workshop consists of lectures on instrument performance, calibration, pipeline processing, and tools, such as MOPEX, SPICE, SMART, and IRSFRINGE, available for data analysis, as well as intensive hands-on experience with members of the Spitzer Instrument and Science User Support Teams. Due to the level of personal interaction to be offered, registration for this workshop is limited to about 25 participants, on a first-come, first-served basis. Strong preference will be given to those investigators who already have data in-hand for their Cycle 1 or 2 GO or AR programs.
The workshop is arranged with IRAC topics on April 3, MIPS topics on April 4 and 5, and IRS topics on April 6 and 7. Participants may attend some or all of the days, depending on their interests. Participants are required to bring a laptop (DHCP enabled and with SSH protocol version 2; also bringing a CAT5, i.e., regular ethernet, cable would be helpful) loaded with both the data analysis tools software, available from the SSC website (ssc.spitzer.caltech.edu/postbcd), and the complement of their GO1 or GO2 data, available from the data archive via Leopard. These tools run under Solaris, Linux, and Mac OSX. Those participants who are unable to, or would rather not, run the tools and load their data on their own laptops, we expect to have a central Unix server, with ample disk space, for participants to log in (from their own laptops or from desktops at the Workshop) and run the tools. However, due to the computational and graphical intensive nature of the data reduction tools, we caution that this could be rather slow. Participants are also strongly encouraged to have read the specific Data Handbooks of interest (available from ssc.spitzer.caltech.edu/archanaly/), as well as the documentation for the specific post-BCD tools, prior to arrival at the workshop. (Experience with the previous workshops revealed that those participants that do even a little pre-workshop preparation are able to get started faster on the first day they attend the workshop.) The presentations will also be posted here a few days in advance of the workshop, so that participants can preview them. This will all ensure the participant's maximum benefit from the workshop.
Presentations from the previous workshop can be found here.
Participants are required to handle their own transportation to/from and accommodations in Pasadena. Suggested transportation to and from area airports can be found at ssc.spitzer.caltech.edu/visitorinfo/airportbus.html. A list of local accommodations can be found at www.admissions.caltech.edu/visiting/accommodations. We urge participants to use an interactive mapping service, such as Mapquest, to gauge the distances of the available accommodations from Caltech, which is at 1200 E. California Blvd., Pasadena, CA 91125. Many hotels and motels are a long walk from the SSC, and some participants may wish to rent a car. Anyone driving to campus may email us ahead of time and request a (free) parking permit from us for the days of their participation. Note, however, that we only have a limited number of free permits and these must be picked up from the Workshop registration desk on the fourth floor of the SSC, and must be displayed on a daily basis. Paid parking is also available in the parking garage located under the athletic field just south of the SSC (enter from California Blvd.). Local transportation, e.g., the free Pasadena Arts bus, is also available, but with limited geographical coverage within the area.
Principal Investigators (PIs) are not required to attend; co-investigators, postdocs, or students directly affiliated with the PI's Cycle 1 or 2 program may attend instead. Program ID numbers (pids) are required information on the registration pages, and verification will be obtained of a registrant's affiliation to the program. Registration for the workshop represents a commitment to attend. Registrants are required to indicate which days they intend to be present, if less than the full week. Registrants will first be acknowledged, pending verification, and will later be informed of their expectation to participate. A waiting list for participation will be kept, so spaces can be filled, in the event of cancellations.
We anticipate other, future workshops will be held later in 2006. If you are unable to attend this workshop, therefore, there will likely be other opportunities in the near future to do so. We will continue to inform GO investigators of possible future data analysis workshops.
The agenda for this workshop is here.
Registration is open to all, first-come, first-served, up to the facility capacity. There is no fee associated with this workshop. We look forward to your participation.
This workshop, from Spring 2006, is entirely over and done with. Looking for a more recent workshop? Try the main SSC workshops page to look for a more recent workshop. We (so far) have held two per year, one in the Spring and one in the late Summer.
help@spitzer.caltech.edu