Matches in SemOpenAlex for { <https://semopenalex.org/work/W3102873835> ?p ?o ?g. }
- W3102873835 abstract "We fit the spectral energy distributions (SEDs) of 46 GeV - TeV BL Lac objects in the frame of leptonic one-zone synchrotron self-Compton (SSC) model and investigate the physical properties of these objects. We use the Markov Chain Monte Carlo (MCMC) method to obtain the basic parameters, such as magnetic field (B), the break energy of the relativistic electron distribution ($gamma'_{rm{b}}$) and the electron energy spectral index. Based on the modeling results, we support the following scenarios on GeV-TeV BL Lac objects: (1) Some sources have large Doppler factors, implying other radiation mechanism should be considered. (2) Comparing with FSRQs, GeV-TeV BL Lac objects have weaker magnetic field and larger Doppler factor, which cause the ineffective cooling and shift the SEDs to higher bands. Their jet powers are around $4.0times 10^{45}~rm{ ergcdot s}^{-1}$, comparing with radiation power, $5.0times 10^{42}~rm{ ergcdot s}^{-1}$, indicating that only a small fraction of jet power is transformed into the emission power. (3) For some BL Lacs with large Doppler factors, their jet components could have two substructures, e.g., the fast core and the slow sheath. For most GeV-TeV BL Lacs, Kelvin-Helmholtz instabilities are suppressed by their higher magnetic fields, leading few micro-variability or intro-day variability in the optical bands. (4) Combined with a sample of FSRQs, an anti-correlation between the peak luminosity $L_{rm {pk}}$ and the peak frequency $nu_{rm {pk}}$ is obtained, favoring the blazar sequence scenario. In addition, an anti-correlation between the jet power $P_{rm {jet}}$ and the break Lorentz factor $gamma_{rm {b}}$ also supports the blazar sequence." @default.
- W3102873835 created "2020-11-23" @default.
- W3102873835 creator A5000168358 @default.
- W3102873835 creator A5013489004 @default.
- W3102873835 creator A5027917832 @default.
- W3102873835 creator A5045806875 @default.
- W3102873835 creator A5049464050 @default.
- W3102873835 creator A5074523330 @default.
- W3102873835 date "2018-01-01" @default.
- W3102873835 modified "2023-09-26" @default.
- W3102873835 title "Using the Markov chain Monte Carlo method to study the physical properties of GeV–TeV BL Lac objects" @default.
- W3102873835 cites W1488043707 @default.
- W3102873835 cites W1636384029 @default.
- W3102873835 cites W1908457319 @default.
- W3102873835 cites W1951204806 @default.
- W3102873835 cites W1953516118 @default.
- W3102873835 cites W1955807230 @default.
- W3102873835 cites W1970300720 @default.
- W3102873835 cites W1972799310 @default.
- W3102873835 cites W1983280472 @default.
- W3102873835 cites W1985909628 @default.
- W3102873835 cites W1987076419 @default.
- W3102873835 cites W1992565029 @default.
- W3102873835 cites W1994368354 @default.
- W3102873835 cites W1995993679 @default.
- W3102873835 cites W2002690879 @default.
- W3102873835 cites W2015349898 @default.
- W3102873835 cites W2036385708 @default.
- W3102873835 cites W2042049323 @default.
- W3102873835 cites W2042064058 @default.
- W3102873835 cites W2048364703 @default.
- W3102873835 cites W2050444942 @default.
- W3102873835 cites W2051701449 @default.
- W3102873835 cites W2052361349 @default.
- W3102873835 cites W2052978992 @default.
- W3102873835 cites W2054245028 @default.
- W3102873835 cites W2055332331 @default.
- W3102873835 cites W2057268551 @default.
- W3102873835 cites W2057402945 @default.
- W3102873835 cites W2062769740 @default.
- W3102873835 cites W2064071608 @default.
- W3102873835 cites W2068305704 @default.
- W3102873835 cites W2081443204 @default.
- W3102873835 cites W2086247295 @default.
- W3102873835 cites W2088604799 @default.
- W3102873835 cites W2089934535 @default.
- W3102873835 cites W2107819646 @default.
- W3102873835 cites W2119667992 @default.
- W3102873835 cites W2120289895 @default.
- W3102873835 cites W2121231750 @default.
- W3102873835 cites W2123602663 @default.
- W3102873835 cites W2126790663 @default.
- W3102873835 cites W2135101687 @default.
- W3102873835 cites W2136931506 @default.
- W3102873835 cites W2140036978 @default.
- W3102873835 cites W2140435052 @default.
- W3102873835 cites W2143427359 @default.
- W3102873835 cites W2147412917 @default.
- W3102873835 cites W2149714711 @default.
- W3102873835 cites W2150679551 @default.
- W3102873835 cites W2153208487 @default.
- W3102873835 cites W2158988833 @default.
- W3102873835 cites W2168523612 @default.
- W3102873835 cites W2168792528 @default.
- W3102873835 cites W2192074838 @default.
- W3102873835 cites W2205809520 @default.
- W3102873835 cites W2207248201 @default.
- W3102873835 cites W2286323084 @default.
- W3102873835 cites W2595866903 @default.
- W3102873835 cites W2625495387 @default.
- W3102873835 cites W2755124496 @default.
- W3102873835 cites W3022002556 @default.
- W3102873835 cites W3098352501 @default.
- W3102873835 cites W3098598729 @default.
- W3102873835 cites W3098634206 @default.
- W3102873835 cites W3098665358 @default.
- W3102873835 cites W3098731512 @default.
- W3102873835 cites W3099593515 @default.
- W3102873835 cites W3100282356 @default.
- W3102873835 cites W3101032806 @default.
- W3102873835 cites W3101250786 @default.
- W3102873835 cites W3101991128 @default.
- W3102873835 cites W3102058380 @default.
- W3102873835 cites W3102364505 @default.
- W3102873835 cites W3102774732 @default.
- W3102873835 cites W3103346894 @default.
- W3102873835 cites W3105113820 @default.
- W3102873835 cites W3106371963 @default.
- W3102873835 cites W3124515183 @default.
- W3102873835 cites W3124722386 @default.
- W3102873835 cites W3125361158 @default.
- W3102873835 cites W3125749721 @default.
- W3102873835 cites W4211080138 @default.
- W3102873835 doi "https://doi.org/10.1093/pasj/psx150" @default.
- W3102873835 hasPublicationYear "2018" @default.
- W3102873835 type Work @default.
- W3102873835 sameAs 3102873835 @default.
- W3102873835 citedByCount "4" @default.
- W3102873835 countsByYear W31028738352020 @default.
- W3102873835 countsByYear W31028738352021 @default.