Data Analysts Without Borders: A Case Study

Document #:

LIGO-G1000994-v3

Document type:

G - Presentations (eg Graphics)

Abstract:

Gravitational wave data analysis for ground-based interferometers has traditionally divided signals and search algorithms into four categories - compact binary inspirals, unmodeled bursts, continuous waves and stochastic backgrounds. While this has been a convenient paradigm, the boundaries between these four categories are really blurry and artificial. More and more data analysts are ending up in multiple camps. I will present a particular example of an analysis development being lead at UMN that is drawing from multiple camps to get results, and will appeal to future generations of gravitational wave data analysts to do likewise.

Files in Document:

• PDF formatted version (OK) (GW2010.pdf, file is not accessible)

Other Files:

• Keynote (original) version (Best) (GW2010.key, file is not accessible)
• PowerPoint formatted version (Better) (GW2010.ppt, file is not accessible)

Topics:

• Other data analysis

Authors:

• Warren Anderson