High Precision Near Infrared Velocimetry:Reduction, Optimization, and Analysis of Data from the CARMENES Survey

CARMENES项目的目标是在低质量恒星周围发现类地系外行星，该项目将于2015年启动，从数百颗恒星获得高精度的近红外光谱。新的数据提取和分析算法需要成功地应用高精度的长波测速方法。我们建议优化近红外波长m/s多普勒测量的数据提取和分析技术，这是几个即将到来和计划中的测速任务的核心，利用我们的工具最大化卡门调查的性能，并在这次调查中搜索行星。该提案有三个主要的科学目标：(i)优化近红外波段的数据提取和分析技术，（ii）寻找系外行星，（iii）从CARMENES恒星中提取高质量的光谱。

With the goal to discover Earth-like extrasolar planets aroundlow-mass stars, the CARMENES project will start in 2015 to obtainhigh-precision near-infrared spectroscopy from several hundredstars. Novel data extraction and analysis algorithms are required tosuccessfully apply high-precision velocimetry methods at longwavelengths. We propose to optimize data extraction and analysistechniques for m/s Doppler measurements at near-infrared wavelengths,which is central to several upcoming and planned velocimetry missions,to utilize our tools to maximize the performance of the CARMENESsurvey, and to search for planets in this survey. The proposal hasthree main scientific goals: (i) the optimization of data extractionand analysis techniques for the use at near-infrared wavelengths, (ii)the search for extrasolar planets, and (iii) the extraction ofhigh-quality spectra from the CARMENES stars.