Junwei Cao LIGO Scientific Collaboration Research Group Tsinghua University, Beijing, China November 4, 2010. Real-time Gravitational-wave Burst Search for Multi-messenger Astronomy. Outline. Introduction LSC Burst Group What’s Real-time Search Motivation Our method and pipeline
LIGO Scientific Collaboration Research Group
Tsinghua University, Beijing, China
November 4, 2010Real-time Gravitational-wave Burst Search for Multi-messenger Astronomy
Star: Loudest trigger
Rapid detector characterization
Nearly Real-time low latency analysis for the first time
Cite from LIGO-G0900008
Decentralized GWB data processing
DMT monitor on pipeline trigger for glitch study
GPU acceleration in GWB data processing
Pattern recognition for veta analysis
Trigger Rate on L1
Trigger Rate on H1
Triggers’ scatter plot on L1
Triggers’ scatter plot on H1
A case: GPU acceleration on IIR (Infinite impulse response) filtering
For a predicted inspiral waveform, it can be decomposed into a series of constant frequency decaying sinusoids. Each sinusoid is used to define a single IIR filter. The coherent addition of the output of the set of IIR filters recovers predicted waveforms with near optimal signal to noise ratio. Since among IIR filters , the independence are significant, which is suitable for GPU acceleration parallel process.
No signal and
no glitch either!
No instrument faults!
perfect for training
We want to know
if this is a signal
or a glitch
This is definitely
a GW signal
GC 1 1 0 0
AUX1 0 1 0 0
AUXn 0 0 1 0
ENV1 0 0 1 0
ENVm 0 1 0 0
Efficiency: fraction (%) of GW triggers rejected.
Dead-time: fraction (%) of live-time lost due to veto application.
Current Burst real-time low latency search is successful, but not perfect
To be ready for AdvLIGO, burst search infrastructure should evolve
Advanced computing technology and method can significantly boost real-time multi-messenger astronomy