LISA Science Analysis Workshop: Proof-of-Principle Demonstrations of LISA Analysis Capabilities
Register Now!
Please contact the with any additional questions you may have.
I am not interested in registering now, but please keep me informed.
Participants
Click here for the current list of participants.
Schedule
View the workshop schedule. Workshop presentations are now available.
Workshop Preparation
24-26 June 2006
LISA Science Analysis Workshop presentations now available.
Hilton Garden Inn Greenbelt
The Dogwood Room
7810 Walker Drive
Greenbelt, MD 20770
Phone: 301-474-7400
Scientific Organizing Committee
Matt Benacquista Montana State University, Billings
Sam Finn Penn State University
Shane Larson Penn State University
Louis Rubbo Penn State University
Abstract
Gravitational wave observations made by LISA have the potential to revolutionize our understanding of the cosmos in a way not seen since Galileo first turned a telescope to the heavens. Behind LISA's great potential is an equally great challenge: how does one separately identify, characterize, and learn from the myriad of sources whose signals overlap in the LISA data stream? The LISA Science Analysis Workshop is intended to highlight the challenges of LISA science analysis and how, as a community, we can move forward to demonstrate our ability to meet those challenges.
The meeting will take place immediately following the 6th International LISA Symposium nearby to the site of the LISA Symposium, enabling Symposium participants to stay-over for a few extra days to attend the Workshop.
The principal focus of the meeting is the discussion and development of proof-of-principle LISA science analysis challenges that members of the LISA science community can attack, alone or in collaboration, to demonstrate the different ways in which LISA can meet its broad science goals. To seed this discussion the Scientific Organizing Committee will distribute, several weeks before the meeting, suggestions for challenge analysis problems associated with each of LISA's broad science goals. Example data sets that can be used to help analysts address these challenge problems will be available on the TLA web site when the challenge analysis problem suggestions are distributed. (The workshop will include a tutorial on how to read and use these data sets in C, FORTRAN, Matlab and Mathematica.) During the meeting, participants will discuss these challenge problem examples and identify additional challenge problems and related data sets. From the workshop discussions we expect multiple opportunities to collaborate on interesting research problems, suitable for publication and tractable on a short timescale, will arise.
There will be no registration fee for this meeting; however, we ask that you register for the meeting in order to insure that we can arrange for appropriate size facilities, refreshments, and prepare name tags for participants.

