Improved signal detection algorithms for unevenly sampled data. Six signals in the radial velocity data for GJ876
The hunt for Earth analogue planets orbiting Sun-like stars has forced the introduction of novel methods to detect signals at, or below, the level of the intrinsic noise of the observations. We present a new global periodogram method that returns more information than the classic Lomb–Scargle period...
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| Vydáno v: | Monthly notices of the Royal Astronomical Society Ročník 441; číslo 3; s. 2253 - 2265 |
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| Médium: | Journal Article |
| Jazyk: | angličtina |
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Oxford University Press
01.07.2014
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| ISSN: | 0035-8711, 1365-2966 |
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| Abstract | The hunt for Earth analogue planets orbiting Sun-like stars has forced the introduction of novel methods to detect signals at, or below, the level of the intrinsic noise of the observations. We present a new global periodogram method that returns more information than the classic Lomb–Scargle periodogram method for radial velocity signal detection. Our method uses the minimum mean-squared error as a framework to determine the optimal number of genuine signals present in a radial velocity timeseries using a global search algorithm, meaning that we can discard noise spikes from the data before a follow-up analysis. This method also allows us to determine the phase and amplitude of the signals we detect, meaning that we can track these quantities as a function of time to test if the signals are stationary or non-stationary. We apply our method to the radial velocity data for GJ876 as a test system to highlight how the phase information can be used to select against the non-stationary sources of detected signals in radial velocity data, such as rotational modulation of star spots. Analysis of this system yields two new statistically significant signals in the combined Keck and HARPS velocities with periods of 10 and 15 d. Although a planet with a period of 15 d would relate to a Laplace resonant chain configuration with three of the other planets (8:4:2:1), we stress that the follow-up dynamical analyses are needed to test the reliability of such a six-planet system. |
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| AbstractList | The hunt for Earth analogue planets orbiting Sun-like stars has forced the introduction of novel methods to detect signals at, or below, the level of the intrinsic noise of the observations. We present a new global periodogram method that returns more information than the classic Lomb-Scargle periodogram method for radial velocity signal detection. Our method uses the minimum mean-squared error as a framework to determine the optimal number of genuine signals present in a radial velocity timeseries using a global search algorithm, meaning that we can discard noise spikes from the data before a follow-up analysis. This method also allows us to determine the phase and amplitude of the signals we detect, meaning that we can track these quantities as a function of time to test if the signals are stationary or non-stationary. We apply our method to the radial velocity data for GJ876 as a test system to highlight how the phase information can be used to select against the non-stationary sources of detected signals in radial velocity data, such as rotational modulation of star spots. Analysis of this system yields two new statistically significant signals in the combined Keck and HARPS velocities with periods of 10 and 15 d. Although a planet with a period of 15 d would relate to a Laplace resonant chain configuration with three of the other planets (8:4:2:1), we stress that the follow-up dynamical analyses are needed to test the reliability of such a six-planet system. The hunt for Earth analogue planets orbiting Sun-like stars has forced the introduction of novel methods to detect signals at, or below, the level of the intrinsic noise of the observations. We present a new global periodogram method that returns more information than the classic Lomb–Scargle periodogram method for radial velocity signal detection. Our method uses the minimum mean-squared error as a framework to determine the optimal number of genuine signals present in a radial velocity timeseries using a global search algorithm, meaning that we can discard noise spikes from the data before a follow-up analysis. This method also allows us to determine the phase and amplitude of the signals we detect, meaning that we can track these quantities as a function of time to test if the signals are stationary or non-stationary. We apply our method to the radial velocity data for GJ876 as a test system to highlight how the phase information can be used to select against the non-stationary sources of detected signals in radial velocity data, such as rotational modulation of star spots. Analysis of this system yields two new statistically significant signals in the combined Keck and HARPS velocities with periods of 10 and 15 d. Although a planet with a period of 15 d would relate to a Laplace resonant chain configuration with three of the other planets (8:4:2:1), we stress that the follow-up dynamical analyses are needed to test the reliability of such a six-planet system. |
| Author | Jenkins, J. S. Mahu, R Rojo, P. Wuth, J. Becerra Yoma, N. |
| Author_xml | – sequence: 1 givenname: J. S. surname: Jenkins fullname: Jenkins, J. S. email: jjenkins@das.uchile.cl organization: 1Departamento de Astronomia, Universidad de Chile, Camino el Observatorio 1515, Las Condes, Santiago, Casilla 36-D, Chile – sequence: 2 givenname: N. surname: Becerra Yoma fullname: Becerra Yoma, N. organization: 1Departamento de Astronomia, Universidad de Chile, Camino el Observatorio 1515, Las Condes, Santiago, Casilla 36-D, Chile – sequence: 3 givenname: P. surname: Rojo fullname: Rojo, P. organization: 1Departamento de Astronomia, Universidad de Chile, Camino el Observatorio 1515, Las Condes, Santiago, Casilla 36-D, Chile – sequence: 4 givenname: R surname: Mahu fullname: Mahu, R organization: 1Departamento de Astronomia, Universidad de Chile, Camino el Observatorio 1515, Las Condes, Santiago, Casilla 36-D, Chile – sequence: 5 givenname: J. surname: Wuth fullname: Wuth, J. organization: 1Departamento de Astronomia, Universidad de Chile, Camino el Observatorio 1515, Las Condes, Santiago, Casilla 36-D, Chile |
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| Cites_doi | 10.1111/j.1365-2966.2008.14051.x 10.1051/0004-6361/201219910 10.1038/nature03539 10.1086/160554 10.1051/0004-6361/201118518 10.1088/0067-0049/200/2/15 10.1051/0004-6361/201016333 10.1051/0004-6361:200811296 10.1051/0004-6361/201014795 10.1088/2041-8205/751/1/L16 10.1086/321552 10.1051/0004-6361/201014704 10.1086/491669 10.1088/0004-637X/708/2/1492 10.1093/mnras/sts476 10.1088/0004-637X/771/1/41 10.1051/0004-6361/200912700 10.1051/0004-6361/200913096 10.1051/0004-6361/201321331 10.1051/0004-6361/201220509 10.1088/0004-637X/770/2/133 10.1088/0004-637X/722/1/937 10.1088/0004-637X/753/2/169 10.1088/0004-637X/709/1/168 10.1038/nature03540 10.1088/0004-637X/766/2/67 10.1111/j.1365-2966.2009.15097.x 10.1111/j.1365-2966.2004.08275.x 10.1007/s10569-012-9408-0 10.1086/605730 10.1051/0004-6361/200912172 10.1088/0004-637X/723/1/954 |
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| Title | Improved signal detection algorithms for unevenly sampled data. Six signals in the radial velocity data for GJ876 |
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