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Table 3.

Summary of the spatial best-fitting distribution in each cluster.

Cluster N images HST with MUSE only MUSE two fixed comp two free comp one comp
(Nobj)
A2744 63 (49) 43 20 46 4 13
A370 39 (15) 16 23 23 6 11
MACS0257 27 (12) 14 13 14 1 11
MACS0329 7 (4) 3 4 6 1 0
MACS0416N 33 (22) 27 6 25 6 2
MACS0416S 30 (14) 27 3 24 2 3
MACS0451 16 (10) 2 15 14 0 3
MACS0520 16 (10) 1 15 10 3 3
BULLET 5 (5) 1 4 5 0 0
MACS0940 31 (25) 10 21 20 6 4
MACS1206 41 (25) 11 30 24 6 11
RXJ1347 60 (32) 16 44 44 6 10
SMACS2031 37 (15) 11 26 24 7 6
SMACS2131 15 (8) 4 11 11 4 0
A2390 5 (3) 5 0 3 1 1
MACS2214 20 (8) 6 14 13 3 4
AS1063 15 (7) 15 0 14 1 0
A2667 7 (4) 1 8 5 1 1
TOTAL 469 (268) 45% 55% 67% 12% 21%

Notes. The first column shows the total number of Lyman-α images selected for spatial fitting and the boldface numbers the number of unique objects. The second and third columns shows the number of images with both UV and Lyman-α detection and only a Lyman-α detection respectively. The three last columns show the distribution in the three main categories of Lyman-α emission models. The last row shows the repartition for the global sample.

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