The Architecture of LISA Science Analysis: Imagining the Future The Architecture of LISA Science Analysis: Imagining the Future

The Architecture of LISA Science Analysis: Imagining the Future

January 16 - 19, 2018
California Institute of Technology - Pasadena, CA 91125

Workshop Overview:

The space-based gravitational-wave observatory LISA will offer unparalleled science returns, including a view of massive black-hole mergers to high redshifts, precision tests of general relativity and black-hole structure, a census of thousands of compact binaries in the Galaxy, and the possibility of detecting stochastic signals from the early Universe.

While the Mock LISA Data Challenges (2006–2011) gave us confidence that LISA will be able to fulfill its scientific potential, we still have a rather incomplete idea of what the end-to-end LISA science analysis should look like. The task at hand is substantial. Our algorithms need to resolve thousands of individual sources of different types and strengths, all of them superimposed in the same multi-year dataset, and simultaneously characterize the underlying noise-like stochastic background. Our catalogs need to represent the complex and highdimensional joint distributions of estimated source parameters for all sources. Our waveform models need to reach part-in-105 accuracy (to achieve full testingGR performance), with sufficient computational efficiency to sample parameter space broadly. Our data reduction needs to ensure the phase coherence of GW measurements across data gaps and instrument glitches over multiple years. It is tempting to assume that current algorithms and prototype codes will scale up to this challenge, thanks to the greatly increased computational power that will become available by LISA’s launch in the early 2030s. In reality, harnessing that power will require very different methods, adapted to future high-performance computational architectures that we can only glimpse now. Thus, we need to begin our exploration at this time, seeking inspiration from other disciplines (e.g., big-data processing, computational biology, the most advanced applications in astroinformatics), and learning to pose the same physical questions in different, future-proof ways—or even daring to imagine questions that will be tractable only with future machines.

The broad objective of this study program is to imagine how evolved or rethought data-analysis algorithms and source-modeling codes will solve the LISA science analysis on the computers of the future. For instance, can we run numericalrelativity simulations on massively parallel, loosely connected processors, in a fault tolerant way? Can we break away from the serial nature of stochastic parameter estimation to (again) exploit parallelism? Can we apply “divide and conquer” principles to the extremely interconnected LISA “global fit”? What representation can we give for the entries (which range from very fuzzy to very defined) in evolving source catalogs, so that we can support the production of partially cleaned datasets, and allow the interaction of multiple analysts? The answers will help guide LISA science and data analysis R&D for the next decade.

Schedule Coming Soon...

List of Workshop Participants Coming Soon...

Lodging for out-of-town attendees

There are a number of hotels (4 pages pdf, 143KB) that are close to the Caltech campus where we have a negotiated rate. (Please note that this negotiated rate does not guarantee you the lowest rate as there may be internet specials or AAA rates that may be better.)

Please note that with enough notice, you can reserve rooms for attendees at the Athenaeum, which has been recognized as a Platinum Club of America. Newly refurbished, it is conveniently located on the Caltech Campus. Contact Janet Seid if you would like to check the availability of this option.

Visa Requirements

For Visa requirement information and travel to the United States please visit the website of the U.S. Department of State.

Parking (for Visitors and for JPL Personnel)

For Visitors: From the Arroyo Parkway, turn right (east) on Del Mar Avenue. Proceed approximately one and a quarter miles. The Caltech campus will be on your right. Turn right (south) onto Michigan Avenue. Turn right into the outdoor parking lot and park in an unmarked spot. Buy a parking permit from the kiosks near the middle of the lot or request one ahead of time from KISS.

For JPL Personnel: JPLers may use their JPL hang tag for parking or request a special parking hangtag from the JPL parking office. Employees who do not have on-Lab parking privileges can obtain a hang tag created for this purpose from JPL parking coordinator Robert Kennedy (818-354-4586, Building 310-108B, 9/80 schedule). Please park in the outdoor parking lot located on Michigan Avenue in an unmarked spot.

Maps and General Information on Pasadena

Directions and Maps

Presentations will be posted here during the first week of the workshop. Coming Soon...