Table 5
Comparison of the classification results between our diagnostic and other widely used mid-infrared diagnostics.
Other diagnostics | This work | AGN | Non-AGN |
---|---|---|---|
JR11 | AGN | 25 (7.6%) | 1 (0.3%) |
Non-AGN | 158 (48.0%) | 145 (44.1%) | |
MT12 | AGN | 22 (6.7%) | 1 (0.3%) |
Non-AGN | 161 (48.9%) | 145 (44.1%) | |
CZ14 | AGN | 85 (31.4%) | 49 (18.0%) |
Non-AGN | 73 (26.9%) | 64 (23.6%) | |
AS18 (R75) | AGN | 55 (16.7%) | 2 (0.6%) |
Non-AGN | 128 (38.9%) | 144 (43.8%) | |
AS18 (R90) | AGN | 32 (9.7%) | 1 (0.3%) |
Non-AGN | 151 (45.9%) | 145 (44.1%) |
Notes. The comparison is performed on an optically selected sample of 329 AGN galaxies. Columns represent our classification results while rows are the classification obtained by the other diagnostics. The R75 and R90 refer to the two available schemes in the work of Assef et al. (2018) that give 75 and 90% reliability for AGN selection, respectively. References: JR11, Jarrett et al. (2011); MT12, Mateos et al. (2012); CZ14, Coziol et al. (2014); AS18, Assef et al. (2018).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.