Table C.1
Optimal parameters for PSF subtraction techniques and RSM for each cluster center.
| Parameters | Center 1 | Center 2 | Center 3 | Center 4 | Center 5 | Center 6 |
|---|---|---|---|---|---|---|
| APCA components | 20 | 14 | 18 | 8 | 7 | 12 |
| APCA segments | 4 | 3 | 3 | 3 | 3 | 4 |
| APCA FOV rotation | 0.42 | 0.29 | 0.26 | 0.31 | 0.5 | 0.76 |
| NMF components | 9 | 10 | 10 | 22 | 11 | 6 |
| LOCI tolerance | 0.0038 | 0.0016 | 0.0012 | 0.0057 | 0.0096 | 0.002 |
| LOCI FOV rotation | 0.49 | 0.14 | 0.48 | 0.1 | 0.13 | 0.73 |
| FM KLIP components | 9 | 19 | 8 | 12 | 5 | 5 |
| FM KLIP FOV rotation | 0.51 | 0.27 | 0.27 | 0.34 | 0.25 | 0.81 |
| FM LOCI tolerance | 0.0042 | 0.0074 | 0.0072 | 0.0073 | 0.0099 | 0.0016 |
| FM LOCI FOV rotation | 0.11 | 0.13 | 0.13 | 0.11 | 0.2 | 0.61 |
| APCA δ | 5 | 5 | 5 | 5 | 5 | 5 |
| NMF δ | 5 | 5 | 5 | 5 | 5 | 5 |
| LOCI δ | 5 | 5 | 5 | 5 | 5 | 5 |
| FM KLIP δ | 5 | 5 | 5 | 5 | 5 | 5 |
| FM LOCI δ | 5 | 5 | 5 | 5 | 5 | 5 |
| APCA crop size | 4 | 4 | 4 | 4 | 4 | 4 |
| NMF crop size | 4 | 4 | 4 | 4 | 4 | 4 |
| LOCI crop size | 4 | 4 | 4 | 4 | 4 | 4 |
| FM KLIP crop size | 7 | 7 | 7 | 7 | 7 | 7 |
| FM LOCI crop size | 7 | 7 | 7 | 7 | 7 | 7 |
| APCA variance | SM | ST | SM | SM | SM | FR |
| NMF variance | SM | SM | SM | SM | SM | SM |
| LOCI variance | FR | ST | ST | SM | SM | ST |
| FM KLIP variance | FR | ST | ST | SM | ST | SM |
| FM LOCI variance | SM | SM | ST | ST | ST | ST |
Notes. The RSM parameters include the planetary flux multiplicative factor (δ), defined as a multiple of the standard deviation, the crop size, and the variance term used to determine the noise estimation region within the annulus. The noise estimation methods are denoted as follows: “SM” (Segment with mask-based estimation), “ST” (Spatio-Temporal estimation), and “FR” (Frame-based estimation) (for further details, see Dahlqvist et al. 2021a).
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