論文

査読有り
2015年1月

MAXI INVESTIGATION INTO THE LONG-TERM X-RAY VARIABILITY FROM THE VERY-HIGH-ENERGY gamma-RAY BLAZAR Mrk 421

ASTROPHYSICAL JOURNAL
  • Naoki Isobe
  • Ryosuke Sato
  • Yoshihiro Ueda
  • Masaaki Hayashida
  • Megumi Shidatsu
  • Taiki Kawamuro
  • Shiro Ueno
  • Mutsumi Sugizaki
  • Juri Sugimoto
  • Tatehiro Mihara
  • Masaru Matsuoka
  • Hitoshi Negoro
  • 全て表示

798
1
開始ページ
27
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1088/0004-637X/798/1/27
出版者・発行元
IOP PUBLISHING LTD

The archetypical very-high-energy gamma-ray blazar Mrk 421 was monitored for more than three years with the Gas Slit Camera on board Monitor of All Sky X-ray Image (MAXI), and its long-term X-ray variability was investigated. The MAXI light curve in the 3-10 keV range was transformed into the periodogram in the frequency range f = 1 x 10(-8)-2 x 10(-6) Hz. The artifacts on the periodogram, resulting from data gaps in the observed light curve, were extensively simulated for variations with a power-law-like power spectrum density (PSD). By comparing the observed and simulated periodograms, the PSD index was evaluated as alpha = 1.60 +/- 0.25. This index is smaller than that obtained in the higher-frequency range (f greater than or similar to 1 x 10(-5) Hz), namely, alpha = 2.14 +/- 0.06 in the 1998 ASCA observation of the object. The MAXI data impose a lower limit on the PSD break at f(b) = 5 x 10(-6) Hz, consistent with the break of f(b) = 9.5 x 10(-6) Hz suggested from the ASCA data. The low-frequency PSD index of Mrk 421 derived with MAXI falls well within the range of typical values among nearby Seyfert galaxies (alpha = 1-2). The physical implications from these results are briefly discussed.

リンク情報
DOI
https://doi.org/10.1088/0004-637X/798/1/27
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000347245100063&DestApp=WOS_CPL
URL
http://iopscience.iop.org/article/10.1088/0004-637X/798/1/27/meta
ID情報
  • DOI : 10.1088/0004-637X/798/1/27
  • ISSN : 0004-637X
  • eISSN : 1538-4357
  • Web of Science ID : WOS:000347245100063

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