Hostname: page-component-586b7cd67f-tf8b9 Total loading time: 0 Render date: 2024-11-22T17:59:10.715Z Has data issue: false hasContentIssue false

Interplay of various particle acceleration processes in astrophysical environment

Published online by Cambridge University Press:  20 January 2023

Sayan Kundu*
Affiliation:
Department of Astronomy, Astrophysics and Space Engineering Indian Institute of Technology, Indore Madhya Pradesh, India - 452020
Bhargav Vaidya
Affiliation:
Department of Astronomy, Astrophysics and Space Engineering Indian Institute of Technology, Indore Madhya Pradesh, India - 452020
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Astrophysical systems possess various sites of particle acceleration, which gives rise to the observed non-thermal spectra. Diffusive shock acceleration (DSA) and stochastic turbulent acceleration (STA) are the candidates for producing very high energy particles in weakly magnetized regions. While DSA is a systematic acceleration process, STA is a random energization process, usually modelled as a biased random walk in energy space with a Fokker-Planck equation. In astrophysical systems, different acceleration processes work in an integrated manner along with various energy losses.

Here we study the interplay of both STA and DSA in addition to various energy losses, in a simulated RMHD jet cocoon. Further, we consider a phenomenologically motivated STA timescale and discuss its effect on the emission profile of the RMHD jet. A parametric study on the turbulent acceleration timescale is also conducted to showcase the effect of turbulence damping on the emission structure of the simulated jet.

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

References

Matthews, J. H., Bell, A. R., Araudo, A. T., Blundell, K. M., 2019, EPJWC, 210, 04002. doi: 10.1051/epjconf/201921004002 CrossRefGoogle Scholar
Fraschetti, F., Giacalone, J., 2012, ApJ, 755, 114. doi: 10.1088/0004-637X/755/2/114 Google Scholar
Hanasz, M., Strong, A. W., Girichidis, P., 2021, LRCA, 7, 2. doi: 10.1007/s41115-021-00011-1 CrossRefGoogle Scholar
Winner, G., Pfrommer, C., Girichidis, P., Pakmor, R., 2019, MNRAS, 488, 2235. doi: 10.1093/mnras/stz1792 Google Scholar
Vazza, F., Wittor, D., Brunetti, G., Brüggen, M., 2021, A&A, 653, A23. doi: 10.1051/0004-6361/202140513 Google Scholar
Petrosian, V., 2012, SSRv, 173, 535. doi: 10.1007/s11214-012-9900-6 Google Scholar
Vurm, I., Poutanen, J., 2009, ApJ, 698, 293. doi: 10.1088/0004-637X/698/1/293 CrossRefGoogle Scholar
Ferrand, G., Marcowith, A., 2010, A&A, 510, A101. doi: 10.1051/0004-6361/200913520 Google Scholar
Schlickeiser, R., Dermer, C. D., 2000, A&A, 360, 789 Google Scholar
O’Sullivan, S., Reville, B., Taylor, A. M., 2009, MNRAS, 400, 248. doi: 10.1111/j.1365-2966.2009.15442.x CrossRefGoogle Scholar
Fan, Z.-H., Liu, S., Wang, J.-M., Fryer, C. L., Li, H., 2008, ApJL, 673, L139. doi: 10.1086/528372 CrossRefGoogle Scholar
Donnert, J., Brunetti, G., 2014, MNRAS, 443, 3564. doi: 10.1093/mnras/stu1417 CrossRefGoogle Scholar
Asano, K., Hayashida, M., 2018, ApJ, 861, 31. doi: 10.3847/1538-4357/aac82a CrossRefGoogle Scholar
Blandford, R. D., 1994, ApJS, 90, 515. doi: 10.1086/191869 Google Scholar
Marcowith, A., Ferrand, G., Grech, M., Meliani, Z., Plotnikov, I., Walder, R., 2020, LRCA, 6, 1. doi: 10.1007/s41115-020-0007-6 Google Scholar
Webb, G. M., 1989, ApJ, 340, 1112. doi: 10.1086/167462 CrossRefGoogle Scholar
Fermi, E., 1949, PhRv, 75, 1169. doi: 10.1103/PhysRev.75.1169 Google Scholar
Vaidya, B., Mignone, A., Bodo, G., Rossi, P., Massaglia, S., 2018, ApJ, 865, 144. doi: 10.3847/1538-4357/aadd17 CrossRefGoogle Scholar
Kundu, S., Vaidya, B., Mignone, A., 2021, ApJ, 921, 74. doi: 10.3847/1538-4357/ac1ba5 CrossRefGoogle Scholar
Mukherjee, D., Bodo, G., Rossi, P., Mignone, A., Vaidya, B., 2021, MNRAS, 505, 2267. doi: 10.1093/mnras/stab1327 CrossRefGoogle Scholar
Brunetti, G., Lazarian, A., 2007, MNRAS, 378, 245. doi: 10.1111/j.1365-2966.2007.11771.x Google Scholar
Schlickeiser, R., 2002, cra.bookGoogle Scholar
Mignone, A., Bodo, G., Massaglia, S., Matsakos, T., Tesileanu, O., Zanni, C., Ferrari, A., 2007, ApJS, 170, 228. doi: 10.1086/513316 CrossRefGoogle Scholar