loosely modeled “burst” searches

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Presentation transcript:

loosely modeled “burst” searches “eyes-wide-open” ----> is it “ideally” agnostic to the GW morphology ? yes as a goal, …. not fully viable as a method coherent analysis is an excellent starting point, but candidate morphology is a powerful additional tool for a more efficient discrimination of signals vs glitches e.g. blip glitches are killers of GW candidates which classification methods ? how to inform the GW candidate ranking ?

“burst” detection challenges preparing for a significant detection: improve discrimination against glitches and noise outliers vetoes: excise from the search some signal parameters demote known glitch morphologies (e.g. bin the search so to delimit the damage of some glitch family to the smallest volume of GW morphologies) promote some loosely defined GW morphologies preference to collection of coherent SNR from some morphological prior (e.g. flavored searches for long duration transients, for chirping-ish transients, …) some classification method (of your choice). careful about not loosing the needed generality of the search the simpler is the classification machinery the better ? the problem is entangled with the reconstruction of the morphology and extrinsic parameters of the candidate future: more frequent overlap of different signals and glitches (at all amplitude scales)

“burst” searches: interpretation challenges interpreting the observation: measure very general signal characteristics (mean frequency, bandwidth, duration, hrss in the network…) calibrate with signal models e.g. simulations informed by NR waveforms for a search for GW emission from a NS remnant after BNS merger (A.Pucher + in progress)

“burst” searches: interpretation challenges interpreting the observation: model selection among sparse or loosely defined alternatives coherentWB reconstruction of GW151012 investigating a sub-threshold post-merger feature F.Salemi+ arxiv 1905.09260

“burst” searches: 2nd detection challenge which agreement should we expect across different burst searches ? background distributions of different analyses are currently independent different analyses have different detection efficiencies for different GW morphologies