On the Lorentz factor of superluminal sources

We investigate the properties of features seen within superluminal sources often referred to as components. Our result indicates a fairly strong correlation of r ～ 0.5 for quasars, r ～ 0.4 for galaxies and r ～ 0.7 for BL Lac objects in our sam- ple between component sizes and distances from the stat...

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Bibliographic Details
Published inResearch in astronomy and astrophysics Vol. 13; no. 5; pp. 509 - 516
Main Authors Onuchukwu, Chika Christian, Ubachukwu, Augustine A.
Format Journal Article
LanguageEnglish
Published 01.05.2013
Subjects
Adiabatic flow
Astronomy
Astrophysics
Correlation
Expanding plasmas
Galaxies
Lac天体
Lorentz factor
Quasars
z因子
星系
洛仑兹
等离子
类星体
超光速
零部件
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Summary:We investigate the properties of features seen within superluminal sources often referred to as components. Our result indicates a fairly strong correlation of r ～ 0.5 for quasars, r ～ 0.4 for galaxies and r ～ 0.7 for BL Lac objects in our sam- ple between component sizes and distances from the stationary core. The assumption of free adiabatic expanding plasma enables us to constrain the Lorentz factor for su- perluminal sources. Our estimated Lorentz factor of y ～ 9-13 for quasars, 7 ～ 7-11 for galaxies and y～ 4 - 9 for BL Lac objects indicates that BL Lacs have the lowest range of Lorentz factors.
Bibliography:11-5721/P
We investigate the properties of features seen within superluminal sources often referred to as components. Our result indicates a fairly strong correlation of r ～ 0.5 for quasars, r ～ 0.4 for galaxies and r ～ 0.7 for BL Lac objects in our sam- ple between component sizes and distances from the stationary core. The assumption of free adiabatic expanding plasma enables us to constrain the Lorentz factor for su- perluminal sources. Our estimated Lorentz factor of y ～ 9-13 for quasars, 7 ～ 7-11 for galaxies and y～ 4 - 9 for BL Lac objects indicates that BL Lacs have the lowest range of Lorentz factors.
galaxies： general -- galaxies： active -- galaxies： jets -- methods： ana-lytical -- methods： statistical -- methods： data analysis
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ISSN:1674-4527
2397-6209
DOI:10.1088/1674-4527/13/5/002