A Machine-Readable Value-Added Catalog for Uncertain-Type Blazars in the Fifth Roma-BZCAT

The fifth edition of the Roma-BZCAT catalog (5BZCAT) contains 227 blazars of the uncertain type (BZU), whose available data do not support an unambiguous assignment to the BL Lacertae object (BZB), flat-spectrum radio quasar (BZQ), or host-galaxy-dominated blazar-like source (BZG) categories. We construct a machine-readable value-added catalog for these sources using 1151 BZB, 1909 BZQ, and 274 BZG catalog entries as the supervised reference sample. The compact input set contains redshift, optical magnitude, radio, X-ray, and gamma-ray measurements; missingness indicators; and spectral slopes connecting the radio, optical, and X-ray bands. Redshift and its availability are explicitly treated as optical-spectroscopy-related label proxies. Cross-validation shows that the Light Gradient Boosting Machine (LightGBM) provides the most reliable probability scores among the tested models, although the stacking ensemble gives a slightly higher balanced accuracy. The final catalog reports LightGBM probabilities and contains 61 BZB-like, 120 BZQ-like, and 46 BZG-like sources; 17 are flagged for low probability separation. These probabilities quantify similarity to existing 5BZCAT labels conditional on catalog measurements, rather than an independent physical taxonomy.

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Publication Details

Journal
Universe
Published
2026-08-17
DOI
https://doi.org/10.3390/universe12080250
Primary Topic
Astrophysics and Cosmic Phenomena
Type
article
Field-Weighted Citation Impact
0.00

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article

A Machine-Readable Value-Added Catalog for Uncertain-Type Blazars in the Fifth Roma-BZCAT

Hubing Xiao, Jingtian Zhu, J. H. Fan, D. Bastieri et al.
Universe
Astrophysics and Cosmic Phenomena
article

A Machine-Readable Value-Added Catalog for Uncertain-Type Blazars in the Fifth Roma-BZCAT

Hubing Xiao, Jingtian Zhu, J. H. Fan, D. Bastieri, Xinwen Shu, Tianbo Xu, Qian Wang, Haitao Cao, Wen Yang, Guo Li, Jun Zhang, Fengchun Tao, Xianyao Zhang, Aibo Liu, Kun Ou, Yuhui Song
article en

Abstract

The fifth edition of the Roma-BZCAT catalog (5BZCAT) contains 227 blazars of the uncertain type (BZU), whose available data do not support an unambiguous assignment to the BL Lacertae object (BZB), flat-spectrum radio quasar (BZQ), or host-galaxy-dominated blazar-like source (BZG) categories. We construct a machine-readable value-added catalog for these sources using 1151 BZB, 1909 BZQ, and 274 BZG catalog entries as the supervised reference sample. The compact input set contains redshift, optical magnitude, radio, X-ray, and gamma-ray measurements; missingness indicators; and spectral slopes connecting the radio, optical, and X-ray bands. Redshift and its availability are explicitly treated as optical-spectroscopy-related label proxies. Cross-validation shows that the Light Gradient Boosting Machine (LightGBM) provides the most reliable probability scores among the tested models, although the stacking ensemble gives a slightly higher balanced accuracy. The final catalog reports LightGBM probabilities and contains 61 BZB-like, 120 BZQ-like, and 46 BZG-like sources; 17 are flagged for low probability separation. These probabilities quantify similarity to existing 5BZCAT labels conditional on catalog measurements, rather than an independent physical taxonomy.

UniverseVol. 12(8)
University of Padua (IT), Shanghai Normal University (CN), Guangzhou University (CN), Guangzhou Panyu Polytechnic (CN), Istituto Nazionale di Fisica Nucleare, Sezione di Padova (IT), Guangdong Polytechnic Normal University (CN), Anhui Institute of Information Technology (CN), Wuhu Institute of Technology (CN), Osservatorio Astronomico di Padova (IT), Anhui Normal University (CN)
National Natural Science Foundation of China, Anhui Provincial Department of Education
Openalex Percentile: Top 12%
Astrophysics and Cosmic Phenomena
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