Cartwright, Annabel and Whitworth, Anthony Peter ![]() |
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Abstract
Context. Statistical methods for quantifying clustering have not yet been tested against anti-clustered data. Aims. We investigate the performance of the normalised correlation length, , and when applied to anti-clustered data. Methods. We tested the operation of on simulated data and recently published observations. Results. successfully distinguishes anticlustered data in simulations and indicates anticlustering in an area where it is speculated that triggered star formation has occurred. The existence of radial anticlustering can cause the clustering analysis method to malfunction. Users of should therefore use to rule out anticlustering before applying .
Item Type: | Article |
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Date Type: | Publication |
Status: | Published |
Schools: | Physics and Astronomy Advanced Research Computing @ Cardiff (ARCCA) |
Subjects: | Q Science > QB Astronomy |
Uncontrolled Keywords: | stars: formation -- HII regions -- methods: statistical |
Publisher: | EDP Sciences |
ISSN: | 0004-6361 |
Last Modified: | 04 May 2023 14:28 |
URI: | https://orca.cardiff.ac.uk/id/eprint/19020 |
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