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Table D.1.

Fraction of cross match for different BPT and morphological types.

BPT – class LTG Elliptical S0 Merger Uncertain Total
DP-sample

SF 326(12.9%) 54(2.1%) 990(39.1%) 266(10.5%) 898(35.4%) 2534
COMP 431(20.0%) 69(3.2%) 715(33.2%) 208(9.7%) 730(33.9%) 2153
AGN 103(16.3%) 24(3.8%) 204(32.4%) 77(12.2%) 222(35.2%) 630
LINER 29(16.7%) 13(7.5%) 53(30.5%) 22(12.6%) 57(32.8%) 174
Uncertain 25(14.5%) 7(4.1%) 65(37.8%) 16(9.3%) 59(34.3%) 172

No-bias control sample

SF 873(31.1%) 23(0.8%) 539(19.2%) 245(8.7%) 1131(40.2%) 2811
COMP 388(31.6%) 41(3.3%) 266(21.7%) 116(9.5%) 415(33.8%) 1226
AGN 177(25.8%) 29(4.2%) 129(18.8%) 80(11.6%) 272(39.6%) 687
LINER 76(24.7%) 38(12.3%) 56(18.2%) 35(11.4%) 103(33.4%) 308
Uncertain 25(26.0%) 3(3.1%) 19(19.8%) 11(11.5%) 38(39.6%) 96

Control sample

SF 18 510(22.6%) 120(0.1%) 5328(6.5%) 5934(7.2%) 52 173(63.6%) 82 065
COMP 1123(23.8%) 76(1.6%) 1229(26.0%) 360(7.6%) 1933(40.9%) 4721
AGN 331(20.4%) 46(2.8%) 418(25.8%) 138(8.5%) 690(42.5%) 1623
LINER 122(22.8%) 56(10.4%) 106(19.8%) 49(9.1%) 203(37.9%) 536
Uncertain 71(15.2%) 4(0.9%) 64(13.7%) 43(9.2%) 285(61.0%) 467

Notes. This is a cross match of Tables 4 and 5. We present the fraction of each morphological type for all different subsets classified with the BPT diagram in Sect. 3.1. For the DPS we show the BPT-classification using the non-parametric fit. We present these fractions for the DPS, the NBCS and the CS. All rows add up to unity.

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