Hostname: page-component-7479d7b7d-q6k6v Total loading time: 0 Render date: 2024-07-08T19:34:45.606Z Has data issue: false hasContentIssue false

Gamma-ray flux distribution analysis on 145 gamma-ray bright blazars

Published online by Cambridge University Press:  11 September 2023

Kenji Yoshida
Affiliation:
Shibaura Institute of Technology, Japan
Foteini Oikonomou
Affiliation:
Norwegian University of Science and Technology, Norway
Maria Petropoulou
Affiliation:
National and Kapodistrian University of Athens, Greece
Kohta Murase
Affiliation:
The Pennsylvania State University, USA

Abstract

We present the results of the gamma-ray flux distribution analysis on 145 gamma-ray bright blazars observed by Fermi-LAT. For the gamma-ray flux distribution, we applied a log-normal distribution to discuss the nature of the high-energy emission processes of blazars and a power-law distribution convolved with a Poisson distribution to investigate the implications of gamma-ray bright blazars for neutrino emission. Both distributions can represent the observed flux distributions as well. The leptonic models, which give the physical relationship between neutrinos and gamma rays, indicate that the flaring contribution to the neutrino emission can be dominant for the power-law index less than ∼2.5. From the power-law distribution analysis, we found that the power-law index < 2.5 accounts for the 82 % blazars. This result suggests that the flaring contribution of blazars is dominant for high-energy neutrino emission.

Type
Contributed Paper
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of International Astronomical Union

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Abdollahi, S., Ackermann, M., Ajello, M., et. al 2017, ApJ, 846, 34 CrossRefGoogle Scholar
Ajello, M., Angioni, R., Axelsson, M., et. al 2020, ApJ, 892, 105 CrossRefGoogle Scholar
Bhatta, G. & Dhital, N. 2020, ApJ, 891, 120 CrossRefGoogle Scholar
Brunner, E. & Munzel, U. 2000, Biometrical Journal, 42, 17 3.0.CO;2-U>CrossRefGoogle Scholar
IceCube-Collaboration, Fermi-LAT, MAGIC et al. 2018, Sci., 361, 146Google Scholar
Murase, K. & Waxman, E. 2016, Phys. Rev. D, 94, 103006 CrossRefGoogle Scholar
Murase, K., Oikonomou, F., & Petropoulou, M. 2018, ApJ, 865, 124 CrossRefGoogle Scholar
Scargle, J.D. 2020, ApJ, 895, 90 CrossRefGoogle Scholar
Shah, Z., Mankuzhiyil, N., Sinha, A. et al. 2018, Res. Astron. Astrophys., 18, 141 CrossRefGoogle Scholar
Uttley, P., McHardy, M., & Vaughan, S. 2005, Mon. Not. R. Astron. Soc., 359, 345 CrossRefGoogle Scholar
Yoshida, K., Petropoulou, M., Murase, K., & Oikonomou, F. 2023, ApJ, submitted, arXiv:2210.10011Google Scholar