首页> 外文期刊>The Astronomical journal >The distance of the first overtone RR Lyrae variables in the MACHO large Magellanic Cloud database: A new method to correct for the effects of crowding
【24h】

The distance of the first overtone RR Lyrae variables in the MACHO large Magellanic Cloud database: A new method to correct for the effects of crowding

机译:The distance of the first overtone RR Lyrae variables in the MACHO large Magellanic Cloud database: A new method to correct for the effects of crowding

获取原文
获取原文并翻译 | 示例
       

摘要

Previous studies have indicated that many of the RR Lyrae variables in the LMC have properties similar to those in the Galactic globular cluster M3. Assuming that the M3 RR Lyrae variables follow the same relationships among period, temperature, amplitude, and Fourier phase parameter 03, as their LMC counterparts, we have used the M3 phi(31)-log P relation to identify the M3-like unevolved first overtone RR Lyrae variables in 16 MACHO fields near the LMC bar. The temperatures of these variables were calculated from the M3 log P- log T-eff relation so that the extinction could be derived for each star separately. Since blended stars have lower amplitudes for a given period, the period-amplitude relation should be a useful tool for determining which stars are affected by crowding. We find that the low-amplitude LMC RR1 stars are brighter than the stars that fit the M3 period-amplitude relation and we estimate that at least 40 of the stars are blended. Simulated data for three of the crowded stars illustrate that an unresolved companion with V similar to 20.5 could account for the observed amplitude and magnitude. We derive a corrected mean apparent magnitude (V-0) = 19.01 +/- 0.10 (extinction) +/-0.02 (calibration) for the 51 uncrowded unevolved M3-like RR1 variables. Assuming that the unevolved RR1 variables in M3 have a mean absolute magnitude M-V = 0.52 +/- 0.02 leads to an LMC distance modulus mu = 18.49 +/- 0.11.

著录项

获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号