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Quick recipes for gravitational-wave selection effects
Davide Gerosa
*
, Malvina Bellotti
*
Corresponding author for this work
Physics and Astronomy
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peer-review
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Keyphrases
Signal-to-noise Ratio
100%
Gravitational Waves
100%
Selection Effect
100%
False Alarm Rate
50%
High-redshift
50%
Accurate Modeling
50%
Population-based Study
50%
Bayesian Probability
50%
Closed-form Expression
50%
Analytical Considerations
50%
Detection Probability
50%
Above-threshold
50%
Selection Function
50%
Matched Filter
50%
Ready-to-use
50%
Gravitational Wave Astronomy
50%
Hierarchical Bayesian Model
50%
Population Synthesis
50%
Multiple Detectors
50%
Analytical Software
50%
Signal-to-noise Ratio Threshold
50%
Statistical Population
50%
Optimal Signals
50%
Multiple Noises
50%
Marcum Q-function
50%
Computer Science
Noise-to-Signal Ratio
100%
Detection Pipeline
66%
Approximation (Algorithm)
33%
Selection Function
33%
closed-form expression
33%
False Alarm Rate
33%
Detection Probability
33%
Analytical Consideration
33%
Physics
Signal-to-Noise Ratio
100%
Gravitational Wave
100%
False Alarm
33%
Matched Filter
33%
Gravitational Wave Astronomy
33%
Earth and Planetary Sciences
Gravitational Wave
100%
State of the Art
50%
False Alarm
50%
Matched Filter
50%
Biochemistry, Genetics and Molecular Biology
Signal Noise Ratio
100%
Population Research
33%
Neuroscience
Signal-to-Noise Ratio
100%