Skip to main navigation
Skip to search
Skip to main content
University of Birmingham Home
Help & FAQ
Home
Research output
Profiles
Research units
Projects
Activities
Datasets
Equipment
Prizes
Press/Media
Search by expertise, name or affiliation
Quick recipes for gravitational-wave selection effects
Davide Gerosa
*
, Malvina Bellotti
*
Corresponding author for this work
Physics and Astronomy
Research output
:
Contribution to journal
›
Article
›
peer-review
50
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Quick recipes for gravitational-wave selection effects'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Above-threshold
50%
Accurate Modeling
50%
Analytical Considerations
50%
Analytical Software
50%
Bayesian Probability
50%
Closed-form Expression
50%
Detection Probability
50%
False Alarm Rate
50%
Gravitational Wave Astronomy
50%
Gravitational Waves
100%
Hierarchical Bayesian Model
50%
High-redshift
50%
Marcum Q-function
50%
Matched Filter
50%
Multiple Detectors
50%
Multiple Noises
50%
Optimal Signals
50%
Population Synthesis
50%
Population-based Study
50%
Ready-to-use
50%
Selection Effect
100%
Selection Function
50%
Signal-to-noise Ratio
100%
Signal-to-noise Ratio Threshold
50%
Statistical Population
50%
Computer Science
Analytical Consideration
33%
Approximation (Algorithm)
33%
closed-form expression
33%
Detection Pipeline
66%
Detection Probability
33%
False Alarm Rate
33%
Noise-to-Signal Ratio
100%
Selection Function
33%
Physics
False Alarm
33%
Gravitational Wave
100%
Gravitational Wave Astronomy
33%
Matched Filter
33%
Signal-to-Noise Ratio
100%
Earth and Planetary Sciences
False Alarm
50%
Gravitational Wave
100%
Matched Filter
50%
State of the Art
50%
Biochemistry, Genetics and Molecular Biology
Population Research
33%
Signal Noise Ratio
100%
Neuroscience
Signal-to-Noise Ratio
100%