GravStat 2005: Bose

Networks of broadband detectors.
A single broadband detector can be thought of as a network of narrow band detectors.
Mergers have 3 phases - s/n may be small in each phase but combined may exceed threshold. How can we be sure we are associating 3 phases correctly - consistency checks.
Networking broadband detectors -> sky positions, stochastic GW background. Computationally very intensive.
Detectors have hugely different sensitivities - network dimensionality reduced for weakest detectable sources (only most sensitive detectors are likely to see them).
Network of aligned detectors - same signal in all detectors (to within time delay), can trigger on one detector and search on others, improved background determination. But blind spots and cannot find polarization of transients.
Unaligned detectors - can unravel more parameters, signal coverage better.
With more detectors there are more ways of analyzing the data - how do we decide which are best ?
What happens if different detectors have different noise characteristics - gaussian vs non-gaussian ?
In a network of detectors do you set confidence intervals for each unique combination ?
With large numbers of detectors computational costs are high - tricks to control this mutilate the normality of the initial statistic pdf.
How stringent are requirements on calibration accuracies across the network ?
How and when sould we effect astrophysical figures-of-merit, vetoes ? eg suppose derived position is where network has low sensitivity ?