18 research outputs found
Parallel modeling of the Apollinaris Patera magnetic and gravity anomalies
International audienc
Evidence for a simple relationship between natural fluorescence, photosynthesis and chlorophyll in the sea
EnVision: Understanding Why Earth's Closest Neighbor Is So Different
EnVision was selected as ESA’s 5th M-class mission, targeting a launch in the early 2030s. The mission is a partnership between ESA and NASA, where NASA provides the Synthetic Aperture Radar payload. The scientific objective of EnVision is to provide a holistic view of the planet from its inner core to its upper atmosphere. Mission phase B1 started in December 2021 to complete trade-offs, consolidate requirements, interfaces and system specifications. Phase B1 will be concluded with the Mission Adoption Review planned in fall 2023, followed by Mission Adoption in 2024. To meet its science objectives, the EnVision mission needs to return 210 Tbits of science data to Earth, with a large distance-to-Earth dynamic range (from 0.3 to 1.7 AU), from a low Venus polar orbit, in the hot Venus environment (exacerbated by the operation of highly dissipative units), while operating three spectrometers in an almost cryogenic level environment. This needs to be achieved within constraints on the spacecraft mass as well as Agency programmatic boundaries. Achieving the science objectives under these multiple constraints without oversizing the spacecraft calls for a careful planning of science operations, making the science planning strategy a critical driver in the design of the whole mission, against which the spacecraft and ground segment are then sized
Mixtures of conditional mean- and covariance-structure models
conditional mean- and covariance-structure models, conditional multivariate normals, EM-algorithm, finite mixtures, LISREL, minimum-distance-estimation,
A linear stability analysis on the onset of thermal convection of a fluid with strongly temperature-dependent viscosity in a spherical shell
Formation Flying, Cosmology and General Relativity: A Tribute to Far-Reaching Dreams of Mino Freund
Efficiency of profile likelihood in semi-parametric models
Semi-parametric model, Profile likelihood, Two-phase outcome-dependent sampling, Efficiency, M-estimator, Maximum likelihood estimator, Efficient score, Efficient information bound,