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Interferometric Monitoring of Gamma-Ray Bright AGNs: S5 0716+714
Lee, Jee Won,Lee, Sang-Sung,Hodgson, Jeffrey A.,Kim, Dae-Won,Algaba, Juan-Carlos,Kang, Sincheol,Kang, Jiman,Kim, Sungsoo S. American Astronomical Society 2017 The Astrophysical Journal Vol.841 No.2
<P>We present the results of very long baseline interferometry (VLBI) observations of gamma-ray bright blazar S5 0716+714 using the Korean VLBI Network (KVN) at the 22, 43, 86, and 129 GHz bands, as part of the Interferometric Monitoring of Gamma-ray Bright active galactic nuclei (iMOGABA) KVN key science program. Observations were conducted in 29 sessions from 2013 January 16 to 2016 March 1, with the source being detected and imaged at all available frequencies. In all epochs, the source was compact on the milliarcsecond scale, yielding a compact VLBI core dominating the synchrotron emission on these scales. Based on the multiwavelength data between 15 GHz (Owens Valley Radio Observatory) and 230 GHz (Submillimeter Array), we found that the source shows multiple prominent enhancements of the flux density at the centimeter (cm) and millimeter (mm) wavelengths, with mm enhancements leading cm enhancements by -16 +/- 8 days. The turnover frequency was found to vary between 21 and 69 GHz during our observations. By assuming a synchrotron self-absorption model for the relativistic jet emission in S5 0716+714, we found the magnetic field strength in the mas emission region to be <= 5 mG during the observing period, yielding a weighted mean of 1.0 +/- 0.6 mG for higher turnover frequencies (e.g., > 45 GHz).</P>
김윤섭,김성수 경희대학교 자연과학종합연구원 2003 자연과학논문집 Vol.9 No.2
Aarseth의 NBODY program에서 사용된 algorithm을 이해하기 쉽도록 풀어보았다. algorithm에서 사용된 식들을 간단히 증명해 보았으며 N-body manual에서 자세히 다뤄지지 않은 부분 역시 설명하여 program을 처음 접한 사용자들의 이해를 도우려 한다. We give a detailed description of the Aarseth's NBODY algorithm, which is an algorithm for a direct integration of the gravitational N-body problem. Derivations of all the relevant mathematical expressions are given, together with a detailed discussion of the algorithm.