2024-03-28T13:33:27Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1673752022-06-27T11:43:54Zcom_10261_97com_10261_4col_10261_350
2018-07-05T07:28:33Z
urn:hdl:10261/167375
Efficient scheduling of astronomical observations: Application to the CARMENES radial-velocity survey
García-Piquer, A.
Morales, J.C.
Ribas, I.
Colomé, J.
Guàrdia, J.
Perger, M.
Caballero, José A.
Cortés-Contreras, M.
Jeffers, S.V.
Reiners, A.
Amado, Pedro J.
Quirrenbach, A.
Seifert, W.
German Research Foundation
Ministerio de Economía y Competitividad (España)
European Research Council
Stars: late-type
Planetary systems
Surveys
Methods: miscellaneous
Instrumentation: spectrographs
Context. Targeted spectroscopic exoplanet surveys face the challenge of maximizing their planet detection rates by means of careful planning. For a large planet survey, the number of possible observation combinations, i.e., the sequence of observations night after night, both in total time and amount of targets, is enormous. Aims. Sophisticated scheduling tools and the improved understanding of the exoplanet population are employed to investigate an efficient and optimal way to plan the execution of observations. This is applied to the CARMENES instrument, which is an optical and infrared high-resolution spectrograph that has started a survey of about 300 M-dwarf stars in search of terrestrial exoplanets. Methods. We used evolutionary computation techniques to create an automatic scheduler that minimizes the idle periods of the telescope and distributes the observations among all the targets using configurable criteria. We simulated the case of the CARMENES survey with a realistic sample of targets, and we estimated the efficiency of the planning tool both in terms of telescope operations and planet detection. Results. Our scheduling simulations produce plans that use about 99% of the available telescope time (including overheads) and optimally distribute the observations among the different targets. Under such conditions, and using current planet statistics, the optimized plan using this tool should allow the CARMENES survey to discover about 65% of the planets with radial-velocity semi-amplitudes greater than 1 ms when considering only photon noise. Conclusions. The simulations using our scheduling tool show that it is possible to optimize the survey planning by minimizing idle instrument periods and fulfilling the science objectives in an efficient manner to maximize the scientific return.© 2017 ESO.
2018-07-05T07:28:33Z
2018-07-05T07:28:33Z
2017
2018-07-05T07:28:33Z
artículo
Astronomy and Astrophysics 604: A87 (2017)
http://hdl.handle.net/10261/167375
10.1051/0004-6361/201628577
http://dx.doi.org/10.13039/501100001659
http://dx.doi.org/10.13039/501100003329
http://dx.doi.org/10.13039/501100000781
eng
Publisher's version
Sí
info:eu-repo/grantAgreement/EC/FP7/279347
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2013-48391-C4-1-R
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/ESP2014-57495-C2-2-R
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AYA2014-54348-C3-1-R
info:eu-repo/grantAgreement/MINECO/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/AYA2014-54348-C3-2-R
openAccess
EDP Sciences