2011
DOI: 10.1016/j.pss.2011.06.020
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Spatial chronogram to detect Phobos eclipses on Mars with the MetNet Precursor Lander

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Cited by 7 publications
(7 citation statements)
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“…We focused on a critical application used by the FinnishRussian-Spanish future Mission to Mars [14], which calculates the trajectories of Phobos [25], the Martian moon. Pertaining to the parameter sweep execution profile, the application divides the overall tracing interval in subintervals that are calculated by the subsequent tasks in the cloudthus the tracing interval of a task is not related to its execution time.…”
Section: Validation Of Icancloudmentioning
confidence: 99%
“…We focused on a critical application used by the FinnishRussian-Spanish future Mission to Mars [14], which calculates the trajectories of Phobos [25], the Martian moon. Pertaining to the parameter sweep execution profile, the application divides the overall tracing interval in subintervals that are calculated by the subsequent tasks in the cloudthus the tracing interval of a task is not related to its execution time.…”
Section: Validation Of Icancloudmentioning
confidence: 99%
“…A special case is observation of Phobos' eclipses, used to locate the actual landing site with high precision (Romero et al, 2011;Harri et al, 2012;Barderas and Romero, 2013). This in turn allows for correlation of the time stamps of the data with the correct local time, thereby making comparisons between observations from different landers more precise.…”
Section: Mnl Operationsmentioning
confidence: 99%
“…A first approach to characterize the opportunities to observe transits within the MSL landing ellipse has been developed following the procedures described in Romero et al () and Harri et al ().…”
Section: Temporal Chronogrammentioning
confidence: 99%
“…To provide an observational plan, including observations within the whole shadow area, we have projected the border of the shadow cone of Phobos along the Sun–Phobos line on the surface of Mars. A model for the shadow border has been described by Romero et al ().…”
Section: Temporal Chronogrammentioning
confidence: 99%
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