Detection chain and electronic readout of the QUBIC instrument

The Q and U Bolometric Interferometer for Cosmology (QUBIC) Technical Demonstrator (TD) aiming to shows the feasibility of the combination of interferometry and bolometric detection. The electronic readout system is based on an array of 128 NbSi Transition Edge Sensors cooled at 350mK readout with 128 SQUIDs at 1K controlled and amplified by an Application Specific Integrated Circuit at 40K. This readout design allows a 128:1 Time Domain Multiplexing. We report the design and the performance of the detection chain in this paper. The technological demonstrator unwent a campaign of test in the lab. Evaluation of the QUBIC bolometers and readout electronics includes the measurement of I-V curves, time constant and the Noise Equivalent Power. Currently the mean Noise Equivalent Power is ~ 2 x 10⁻¹⁶ W/√Hz

Detection chain and electronic readout of the QUBIC instrument

The Q and U Bolometric Interferometer for Cosmology (QUBIC) Technical Demonstrator (TD) aiming to shows the feasibility of the combination of interferometry and bolometric detection. The electronic readout system is based on an array of 128 NbSi Transition Edge Sensors cooled at 350mK readout with 128 SQUIDs at 1K controlled and amplified by an Application Specific Integrated Circuit at 40K. This readout design allows a 128:1 Time Domain Multiplexing. We report the design and the performance of the detection chain in this paper. The technological demonstrator unwent a campaign of test in the lab. Evaluation of the QUBIC bolometers and readout electronics includes the measurement of I-V curves, time constant and the Noise Equivalent Power. Currently the mean Noise Equivalent Power is ~ 2 x 10⁻¹⁶ W/√Hz

Grossesse et chirurgie bariatrique (intérêt de la mesure continue du glucose pour l'évaluation du profil glycémique de femmes enceintes après un bypass gastrique)

TOULOUSE3-BU Santé-Centrale (315552105) / SudocSudocFranceF

Describing vegetation at the landscape level “paysage”, a database designed for series and geoseries datasets

International audienceThe CarHAB project, funded by the French Ministry of Environment, was set up to map the vegetation all over the French territory. In this objective, both analytical (plot) relevés and synrelevés were carried out. Based on the case study of low mountain habitats in the “chaine des Puys” (Massif central, France), this paper presents i) the methodology developed to carry out vegetation relevés at the landscape scale and ii) the database designed to store and fit synrelevés, as part of the national VegFrance database. This paper presents the structure of the “Paysage” database, the metadata collected together with plants communities in the synrelevés (and geosynrelevés), the method to record the synrelevés and how they are managed for the mapping of series and geoseries. The interpretation of the dataset regarding anthropic pressure on this landscape will be suggested

Describing vegetation at the landscape level: « synphyto », a database designed for series and geoseries dataset within the Vegfrance project

International audienc

Describing vegetation at the landscape level: « synphyto », a database designed for series and geoseries dataset within the Vegfrance project

International audienc

VegFrance: A French database for a better knowledge of the national vegetation

International audienc

Supplemental Material for 'The late middle Miocene Mae Moh Basin of northern Thailand: the richest Neogene assemblage of Carnivora from Southeast Asia and a paleobiogeographic analysis of Miocene Asian carnivorans. (American Museum novitates, no. 3952)'

Supplemental Material for 'The late middle Miocene Mae Moh Basin of northern Thailand: the richest Neogene assemblage of Carnivora from Southeast Asia and a paleobiogeographic analysis of Miocene Asian carnivorans. (American Museum novitates, no. 3952)

PAPPS (Plateau d'Analyses Protéomiques par Séquençage et Spectrométrie de masse) de Jouy-en-Josas

National audienc

Ecology for Sustainable and Multifunctional Agriculture

Chapter 1International audienceThe Green Revolution and the introduction of chemical fertilizers, synthetic pesticides and high yield crops had enabled to increase food production in the mid and late 20th. The benefits of this agricultural intensification have however reached their limits since yields are no longer increasing for many crops, negative externalities on the environment and human health are now recognized and economic inequality between farmers have increased. Agroecology has been proposed to secure food supply with fewer or lower negative environmental and social impacts than intensive agriculture. Agroecology principles are based on the recognition that biodiversity in agroecosystems can provide more than only food, fibre and timber. Hence, biodiversity and its associated functions, such as pollination, pest control, and mechanisms that maintain or improve soil fertility, may improve production efficiency and sustainability of agroecosystems. Although appealing, promoting ecological-based agricultural production is not straightforward since agroecosystems are socio-ecosystems with complex interactions between the ecological and social systems that act at different spatial and temporal scales. To be operational, agroecology thus requires understanding the relationships between biodiversity, functions and management, as well as to take into account the links between agriculture, ecology and the society. Here we review current knowledge on (i) the effect of landscape context on biodiversity and ecosystem functions and (ii) trophic and non-trophic interactions in ecological networks in agroecosystems. In particular, many insights have been made these two previous decades on (i) the interacting effects of management and landscape characteristics on biodiversity, (ii) the crucial role of plant diversity in delivering multiple services and (iii) the variety of ecological belowground mechanisms determining soil fertility in interaction with aboveground processes. However, we also pinpointed the absence of consensus on the effects of landscape heterogeneity on biodiversity and the need for a better mechanistic understanding of the effects of landscape and agricultural variables on farmland food webs and related services. We end by proposing new research avenues to fill knowledge gaps and implement agroecological principles within operational management strategies