Skip to content

New Burst search to be added to the GraceDB Playground

Our group would like our new unmodelled burst search pipeline, GWAK, to be added to GraceDB Playground. Example output fields that we want to capture are "time", "detection_statistic", "FAR" and "IFOs". The first three quantities are numeric and the last is string.

GWAK is a machine-learning-based algorithm that has been presented several times to the Burst group. The detailed description was published in the MLST journal on 25 April 2024, it performs comparably with the rest of LVK pipelines. We would like to run GWAK in real-time after all the reviews and checks are completed. But in the meantime, it will be helpful to start testing its real-time running, including working out details around real-time training of the algorithm.

Please let me know if you need further information. I am adding the rest of the GWAK team: @eric.moreno, @ryan.raikman, @erik-katsavounidis

Edited by Katya Govorkova
To upload designs, you'll need to enable LFS and have an admin enable hashed storage. More information