GRAPE: Genetic Routine for Astronomical Period Estimation
- Submitting institution
-
Liverpool John Moores University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 971
- Type
- D - Journal article
- DOI
-
10.1093/mnras/sty1823
- Title of journal
- Monthly Notices of the Royal Astronomical Society
- Article number
- -
- First page
- 5196
- Volume
- 479
- Issue
- 4
- ISSN
- 1365-2966
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2018
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
-
- Citation count
- 3
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This output represents the culmination of research developed through the Royal Academy of Engineering Newton Research Collaboration Programme (NRCP1617/5/67, £6000k, 2016-2017) in collaboration with Pontifícia Universidade Católica do Rio de Janeiro, Brazil. While statistical analysis underpins most astrophysical approaches, this work presents Genetic Routine for Astronomical Period Estimation, a genetic algorithm optimised for the processing of survey data with spurious and aliased artefacts. The generality of the framework allows it to be applied to any astrophysical survey data (Millennium Institute of Astrophysics, Chile).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
