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The result of this study will suggest a new zoo for 4FGL γ-ray objects, opening up new considerations on the population of the γ-ray sky, and it will facilitating the planning of significant samples for rigorous analyses and multiwavelength observational campaigns.
4FGL BCUs Classification
Class 1FGL 2FGL 3FGL 4FGL
BL Lac 295 (44%) 436 (41%) 660 (38%) 1116 (36%)
FSRQ 278 (42%) 370 (35%) 484 (28%) 686(22%)
BCU 92 (14%) 257 (24%) 573 (34%) 1329(42%)
Total 665 1063 1717 3131
Table 1. Blazar class distribution in Fermi-LAT catalogs.
Classifying BCUs, using a supervised machine learning method based on an artificial neural network, probabilities for each of 1329 uncertain blazars to be a BL Lac or FSRQ are obtained.
Using 90% precision metric, 801 can be classified as BL Lacs and 406 as FSRQs while 122 still remain unclassified.
Here the full list 4FGL BCUs_ANN_table.txt
A spectrometric optical observation campaign will be organized to confirm the data resulting from the neural algorithm.