Table 1.
Summary of properties and names of eight cluster finder algorithms that participated in CFC.
Name | CFC participation | Detection principle | Main reference | Cluster properties assumptions | Use of calibration field | Membership |
---|---|---|---|---|---|---|
AMASCFI | 1,2,3,4 | Adaptive kernel | Adami & Mazure (1999) | Typical size and ![]() |
Yes | X |
AMICO | 1,2,3,4 | Optimal filtering | Bellagamba et al. (2018) | LF and profile | No | |
HCFA | 3,4 | Hierarchical finder | Díaz-Sánchez (in prep.) | Typical size only | No | |
PZWav | 1,2,3,4 | Wavelet adaptive | Gonzalez (2014) | Typical size and ![]() |
No | X |
sFoF | 1,2,3,4 | Friends-of-friends | Farrens et al. (2011) | None | Yes | |
WaZP | 1,2,3,4 | Wavelet | Benoist (2014) | Typical size and ![]() |
Yes | |
RedGOLD | 1,2 | Red sequence | Licitra et al. (2016a) | – | – | – |
Voronoi | 1 | Voronoi tessellation | Iovino (in prep.) | – | – | – |
Notes. The properties listed here correspond to those of the final CFC. All algorithms performed redshift slicing or made use of a grid, and all rely on the H-band in the case of the final CFC. RedGOLD and Voronoi did not participate in the last challenge for reasons not related to their performance in the earlier ones.
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