The primary mirror of the Ariel space telescope (an ESA M class mission aimed at the study of exoplanets, scheduled for launch in 2029) is an elliptical off-axis paraboloid. Like the entire telescope, it is built of aluminum. As a massive part of the payload, as well as one of the most delicate components of the telescope, this mirror has to be accurately designed, in order to minimize its mass while not degrading its optical performances. This paper discusses the optimization study of the primary mirror of Ariel. Starting from its optical and geometrical specifications, we have run an iterative process based on FEA dynamic analyses, in order to compute the first ”free-free” eigenfrequencies while varying the three fundamental parameters of the honeycomb structure of the mirror - the thickness of the ribs, the outer edge, and the reflecting surface. Later, the optimization routine has been improved by adding the honeycomb geometry as a variable parameter. As a result, the best configurations is identified as the ones giving the higher ratios of the first relevant eigenfrequency divided by the mass.
La aparición de una enfermedad crónica, como la diabetes mellitus (DM), pone a prueba la respuesta del universo físico ypsíquico de un individuo.Como objetivo general, se propone evaluar el estado emocional de las personas con DM en la consulta ambulatoria. Comoobjetivo particular, detectar y monitorear las necesidades psicológicas que deben formar parte integral del cuidado de laDM mediante el uso de métodos validados.El cuestionario WHO-5 se incluye como índice de bienestar general, el PAID-5 revela la existencia de una posible angustia emocional vinculada a la enfermedad, y el PHQ- 9 como índice de depresión.Ante esta situación, el Comité de Aspectos Psicosociales recomienda explorar estos aspectos para optimizar el control y el tratamiento de la enfermedad, proponiendo estas herramientas para que el equipo de salud las emplee en la detección y el reconocimiento del estado emocional de las personas con DM.
Correlated magnetic noise from Schumann resonances threatens to contaminate the observation of a stochastic gravitational-wave background in interferometric detectors. In previous work, we reported on the first effort to eliminate global correlated noise from the Schumann resonances using Wiener filtering, demonstrating as much as a factor of two reduction in the coherence between magnetometers on different continents. In this work, we present results from dedicated magnetometer measurements at the Virgo and KAGRA sites, which are the first results for subtraction using data from gravitational-wave detector sites. We compare these measurements to a growing network of permanent magnetometer stations, including at the LIGO sites. We show the effect of mutual magnetometer attraction, arguing that magnetometers should be placed at least one meter from one another. In addition, for the first time, we show how dedicated measurements by magnetometers near to the interferometers can reduce coherence to a level consistent with uncorrelated noise, making a potential detection of a stochastic gravitational-wave background possible.
The Euclid mission scientific payload is composed of two instruments: a VISible Imaging Instrument (VIS) and a Near Infrared Spectrometer and Photometer instrument (NISP). Each instrument has its own control unit. The Instrument Command and Data Processing Unit (VI-CDPU) is the control unit of the VIS instrument. The VI-CDPU is connected directly to the spacecraft by means of a MIL-STD-1553B bus and to the satellite Mass Memory Unit via a SpaceWire link. All the internal interfaces are implemented via SpaceWire links and include 12 high speed lines for the data provided by the 36 focal plane CCDs readout electronics (ROEs) and one link to the Power and Mechanisms Control Unit (VI-PMCU). VI-CDPU is in charge of distributing commands to the instrument sub-systems, collecting their housekeeping parameters and monitoring their health status. Moreover, the unit has the task of acquiring, reordering, compressing and transferring the science data to the satellite Mass Memory. This last feature is probably the most challenging one for the VI-CDPU, since stringent constraints about the minimum lossless compression ratio, the maximum time for the compression execution and the maximum power consumption have to be satisfied. Therefore, an accurate performance analysis at hardware layer is necessary, which could delay too much the design and development of software. In order to mitigate this risk, in the multilayered design of software we decided to design a middleware layer that provides a set of APIs with the aim of hiding the implementation of the HW connected layer to the application one. The middleware is built on top of the Operating System layer (which includes the Real-Time OS that will be adopted) and the onboard Computer Hardware. The middleware itself has a multi-layer architecture composed of 4 layers: the Abstract RTOS Adapter Layer (AOSAL), the Speci_c RTOS Adapter Layer (SOSAL), the Common Patterns Layer (CPL), the Service Layer composed of two subgroups which are the Common Service (CSL) and the Specific Service layer (SSL). The middleware design is made using the UML 2.0 standard. The AOSAL includes the abstraction of services provided by a generic RTOS (e.g Thread/Task, Time Management, Mutex and Semaphores) as well as an abstraction of SpaceWire and 1553-B bus Interface. The SOSAL is the implementation of AOSAL for the adopted RTOS. The CPL provides a set of patterns that are a general solution for common problems related to embedded hard Real Time systems. This set includes patterns for memory management, homogenous redundancy channels, pipes and filters for data exchange, proxies for slow memories, watchdog and reactive objects. The CPL is designed using a soft-metamodeling approach, so as to be as general as possible. Finally, the SL provides a set of services that are common to space applications. The testing of this middleware can be done both during the design using appropriate tools of analysis and in the implementation phase by means of unit testing tools.
