Astrocombs are ideal spectrograph calibrators whose limiting precision can be derived using a second, independent, astrocomb system. We therefore analyse data from two astrocombs (one 18 GHz and one 25 GHz) used simultaneously on the HARPS (High Accuracy Radial velocity Planet Searcher) spectrograph at the European Southern Observatory. The first aim of this paper is to quantify the wavelength repeatability achieved by a particular astrocomb. The second aim is to measure wavelength calibration consistency between independent astrocombs, that is to place limits or measure any possible zero-point offsets. We present three main findings, each with important implications for exoplanet detection, varying fundamental constant and redshift drift measurements. First, wavelength calibration procedures are important: using multiple segmented polynomials within one echelle order results in significantly better wavelength calibration compared to using a single higher order polynomial. Segmented polynomials should be used in all applications aimed at precise spectral line position measurements. Secondly, we found that changing astrocombs causes significant zero-point offsets (approximate to 60 cm s(-1) in our raw data) which were removed. Thirdly, astrocombs achieve a precision of less than or similar to 4 cm s(-1) in a single exposure (approximate to 10 per cent above the measured photon-limited precision) and 1 cm s(-1) when time-averaged over a few hours, confirming previous results. Astrocombs therefore provide the technological requirements necessary for detecting Earth-Sun analogues, measuring variations of fundamental constants and the redshift drift.
机构:
NYU, Dept Psychol, New York, NY 10003 USANYU, Dept Psychol, New York, NY 10003 USA
Fulvio, Jacqueline M.
Singh, Manish
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Rutgers State Univ, Dept Psychol, New Brunswick, NJ 08903 USA
Rutgers State Univ, Ctr Cognit Sci, New Brunswick, NJ 08903 USANYU, Dept Psychol, New York, NY 10003 USA
Singh, Manish
Maloney, Laurence T.
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NYU, Dept Psychol, New York, NY 10003 USA
NYU, Ctr Neural Sci, New York, NY USANYU, Dept Psychol, New York, NY 10003 USA
机构:
Xiamen Univ, Sch Econ, Dept Stat & Data Sci, Xiamen, Fujian, Peoples R China
Xiamen Univ, Wang Yanan Inst Studies Econ, Xiamen, Fujian, Peoples R ChinaXiamen Univ, Sch Econ, Dept Stat & Data Sci, Xiamen, Fujian, Peoples R China
Zhang, Qingzhao
Ma, Shuangge
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Yale Univ, Dept Biostat, New Haven, CT 06520 USAXiamen Univ, Sch Econ, Dept Stat & Data Sci, Xiamen, Fujian, Peoples R China
Ma, Shuangge
Huang, Yuan
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Yale Univ, Dept Biostat, New Haven, CT 06520 USAXiamen Univ, Sch Econ, Dept Stat & Data Sci, Xiamen, Fujian, Peoples R China