Spectral Energy Distribution Variability of the Blazar OJ 287 During 2009-2021
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Abstract Using nearly simultaneous radio, near-infrared, optical, and ultraviolet (UV) data collected since 2009, we constructed 106 spectral energy distributions (SEDs) of the blazar OJ 287. These SEDs are well fitted by a log-parabolic model. By classifying the data into “flare” and “quiescent” segments, we find that the median flux at the peak frequency of the SEDs during the flare segments is 0.37 ± 0.22 dex higher compared to the quiescent segments, while no significant differences are observed in the median values of the curvature parameter b or the peak frequency
log
ν
p
. A significant bluer-when-brighter trend is confirmed through the relation between the V magnitude and B − V color index, with this trend being stronger in the flare segments. Additionally, a significant anticorrelation is detected between
log
ν
p
and b, with a slope of 5.79 in the relation between 1/b and
log
ν
p
, closer to the prediction from a statistical acceleration model than a stochastic acceleration interpretation, though a notable discrepancy persists. This discrepancy indicates that additional factors—such as deviations from idealized conditions or radiative contributions, such as the thermal emission from the accretion disk in the optical–UV range during quiescent states—may play a role in producing the observed steeper slope. Within the framework of the statistical acceleration mechanism, the lack of correlation between the change in the peak intensity and the change in the peak frequency suggests that the change in the electron energy distribution is unlikely to be responsible for the time-dependent SED changes. Instead, changes in Doppler boosting or magnetic fields may have a greater influence.
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Acknowledgements: We thank the referee for insightful suggestions, which have significantly improved the draft. We thank M. S. Anjum for helpful discussion of the physical mechanism for LP SEDs. W.W.Z. is supported by the science research grants from the China Manned Space Project with No. CMSCSST-2021-A06. A.C.G. is partially supported by the Chinese Academy of Sciences (CAS) President's International Fellowship Initiative (PIFI) (grant No. 2016VMB073). M.F.G. is supported by the National Science Foundation of China (grant 12473019), the Shanghai Pilot Program for Basic Research–Chinese Academy of Sciences, Shanghai Branch (grant No. JCYJ-SHFY-2021-013), the National SKA Program of China (grant No. 2022SKA0120102), and the science research grants from the China Manned Space Project with No. CMSCSST-2021-A06. S.K. was funded by the European Union ERC-2022-STG—BOOTES—101076343. The views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Research Council Executive Agency. Neither the European Union nor the granting authority can be held responsible for them. P.K. acknowledges support from the Department of Science and Technology (DST), Government of India, through the DST-INSPIRE faculty grant (DST/INSPIRE/04/2020/002586). L.C. is supported by the National Science Foundation of China (grant 12173066), the National SKA Program of China (grant No. 2022SKA0120102), and the Shanghai Pilot Program for Basic Research–Chinese Academy of Sciences, Shanghai Branch (grant No. JCYJ-SHFY-2021-013). Q.Y. is supported by the National Key R&D Intergovernmental Cooperation Program of China (grant No. 2022YFE0133700), the Regional Collaborative Innovation Project of Xinjiang Uyghur Autonomous Region (grant No. 2022E01013), and the National Natural Science Foundation of China (grant No. 12173078). The research at Boston University was supported in part by National Science Foundation grant AST-2108622 and several NASA Fermi Guest Investigator grants—the latest is 80NSSC23K1508. The work at UMRAO was supported in part by a series of grants from the NSF and NASA, most recently AST-0607523 and NASA Fermi GI grant Nos. NNX09AU16G, NNX10AP16G, NNX11AO13G, and NNX13AP18G. This research has made use of data from the OVRO 40 m monitoring program, supported by private funding from the California Institute of Technology and the Max Planck Institute for Radio Astronomy, as well as by NASA grant Nos. NNX08AW31G, NNX11A043G, and NNX14AQ89G and NSF grants AST-0808050 and AST-1109911. This publication makes use of data obtained at Metsähovi Radio Observatory, operated by Aalto University in Finland. The various diligent observers of Aalto University in Finland are thankfully acknowledged. The VLBA is an instrument of the National Radio Astronomy Observatory. The National Radio Astronomy Observatory is a facility of the National Science Foundation operated by Associated Universities, Inc. This study is based in part on observations conducted using the Perkins Telescope Observatory (PTO) in Arizona, USA, which is owned and operated by Boston University. This paper has also made use of up-to-date SMARTS optical/near-infrared light curves that are available at www.astro.yale.edu/smarts/glast/home.php. SMARTS observations of Large Area Telescope–monitored blazars are supported by Yale University and Fermi GI grant NNX 12AP15G, while the SMARTS 1.3 m observing queue received support from NSF grant AST-0707627. Data from the Steward Observatory spectropolarimetric monitoring project were used. This program is supported by Fermi Guest Investigator grant Nos. NNX08AW56G, NNX09AU10G, NNX12AO93G, and NNX15AU81G.
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1538-4357
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National Science Foundation (NSF) (AST-0808050)
National Science Foundation (NSF) (AST-1109911)
National Science Foundation (NSF) (AST-0707627)
MOST ∣ National Natural Science Foundation of China (NSFC) (12473019)
MOST ∣ National Natural Science Foundation of China (NSFC) (12173066)
National Science Foundation (NSF) (AST-2108622)
MOST ∣ National Natural Science Foundation of China (NSFC) (12173078)

