1999
DOI: 10.1086/307555
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Spectral Evolution of the Parsec‐Scale Jet in the Quasar 3C 345

Abstract: The long-term evolution of the synchrotron emission from the parsec-scale jet in the quasar 3C 345 is analysed, on the basis of multi-frequency monitoring with very long baseline interferometry (VLBI) and covering the period 1979-1994. We demonstrate that the compact radio structure of 3C 345 can be adequately represented by Gaussian model fits and that the model fits at different frequencies are sufficiently reliable for studying the spectral properties of the jet. We combine the model fits from 44 VLBI obser… Show more

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Cited by 82 publications
(127 citation statements)
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References 32 publications
(38 reference statements)
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“…In general, there are two approaches to the extraction of the spectral parameters, one based on the flux densities in each pixel (Lobanov 1998a) and the other one on the fitted components (Lobanov & Zensus 1999;Savolainen et al 2008). The advantage of the pixel-based approach is that it provides a continuous evolution of the spectral values along the jet.…”
Section: Spectral Analysismentioning
confidence: 99%
See 1 more Smart Citation
“…In general, there are two approaches to the extraction of the spectral parameters, one based on the flux densities in each pixel (Lobanov 1998a) and the other one on the fitted components (Lobanov & Zensus 1999;Savolainen et al 2008). The advantage of the pixel-based approach is that it provides a continuous evolution of the spectral values along the jet.…”
Section: Spectral Analysismentioning
confidence: 99%
“…Assuming adiabatic expansion losses as the main energy loss mechanism, and following Marscher & Gear (1985); Lobanov & Zensus (1999), the slope in the ν m −S m plane is given by with b the exponent for the evolution of the magnetic field intensity (B ∝ R −b ), k the exponent for the evolution of the normalization coefficient of the relativistic electron distribution (K ∝ R −k ), d the exponent for the evolution of the Doppler factor (δ ∝ R −d ), and s the spectral slope (N = Kγ −s ). A power law fit to the variation in the turnover flux-density with respect to the turnover frequency provides an exponent η = 0.8 ± 0.1 (see Fig.…”
Section: Core Region In May 2005mentioning
confidence: 99%
“…In flat spectrum radio quasars (FSRQs), such as 3C 345, the component flux decay is commonly driven by radiative losses (Lobanov & Zensus 1999;Jorstad et al 2005), which was assumed in Sect. 3.1.1 without any additional justification.…”
Section: Jet Intensity Gradientmentioning
confidence: 99%
“…: Biretta et al 1986;Baath et al 1992;Lobanov 1996;Zensus et al 1995;Ros et al 2000;Klare 2004;Jorstad et al 2007). On the basis of previous observations, spectral index and turnover frequency distributions have been obtained (Lobanov 1996(Lobanov , 1998aRos et al 2000), the spectral evolution of the jet has been studied (Lobanov & Zensus 1999), the properties of the radio and X-ray emission have been related (Unwin et al 1997;Lobanov & Roland 2005), the dynamics of the central region has been investigated (Lobanov & Roland 2005) and opacity in the nuclear region has been used to determine the physical properties and matter composition of the compact jet (Lobanov 1998b;Hirotani 2005). Quasi-periodic variations in the emission have been detected in the optical (Babadzhanyants & Belokon 1984;Kidger & Takalo 1990) and radio (Aller et al 1996;Teräsranta et al 1998;Lobanov & Zensus 1999) regimes with a possible periodicity of 3.5-4.5 years and major flares occurring every 8-10 years.…”
Section: Introductionmentioning
confidence: 99%
“…High-resolution VLBI observations offer the unique possibility of studying the structural and spectral evolution in AGN on parsec-scales (e.g., Lobanov & Zensus 1999;Savolainen et al 2002). These observations provide a tool to test several jet models and to probe how variations within the first few parsecs contribute to the high-energy emission.…”
Section: Introductionmentioning
confidence: 99%