Lagoon hydrodynamics of pearl farming atolls: the case of Raroia, Takapoto, Apataki and Takaroa (French Polynesia)

Between 2018 and 2022, four pearl farming Tuamotu atolls of French Polynesia were monitored with autonomous oceanographic instruments to measure the hydrodynamics of atoll lagoons and the ocean-lagoon water exchanges. These surveys were conducted in the frame of ANR MANA (Management of Atolls) project and its extensions to additional sites. The overarching goal was to improve knowledge on the processes influencing the spat collection of the pearl oyster Pinctada margaritifera, the oyster species used to produce black pearls. These data sets are also critical for the calibration and validation of 3D high spatial resolution hydrodynamic models used to study the oyster larval dispersal within lagoons. The observational strategies focused on the characterization of ocean/lagoon exchanges through passes and hoa (i.e., shallow reef flats), lagoon circulation, incident waves breaking on the forereef, water elevation inside lagoon as well as spatial temperature variability. Chronologically, the investigated atolls were first Raroia Atoll with 9 months measurements between May 2018 and March 2019 during which the MALIS1 and MALIS2 cruises on-board the R/V ALIS took place. It was followed by a 4-month deployment in Takapoto Atoll (November 2021 to March 2022). In late April 2022, Apataki Atoll was instrumented until end of July, followed by Takaroa measurements between July to October. Apataki (Leg2) and Takaroa Atoll were conjointly instrumented during the MALIS 3 oceanographic cruise. Altogether, those multi-atoll data bring a worldwide unique oceanographic atoll data set, useful to address local pearl farming questions but potentially beneficial for other fundamental and applied investigations. Each data set was post processed, quality controlled and converted in NetCDF format. Files are available in open source into dedicated repositories in the SEANOE marine data platform with permanent DOIs

Lagoon hydrodynamics of pearl farming atolls: the case of Raroia, Takapoto, Apataki and Takaroa (French Polynesia)

International audienceBetween 2018 and 2022, four pearl farming Tuamotu atolls of French Polynesia were monitored with autonomous oceanographic instruments to measure the hydrodynamics of atoll lagoons and the ocean-lagoon water exchanges. These surveys were conducted in the frame of ANR MANA (Management of Atolls) project and its extensions to additional sites. The overarching goal was to improve knowledge on the processes influencing the spat collection of the pearl oyster Pinctada margaritifera, the oyster species used to produce black pearls. These data sets are also critical for the calibration and validation of 3D high spatial resolution hydrodynamic models used to study the oyster larval dispersal within lagoons. The observational strategies focused on the characterization of ocean/lagoon exchanges through passes and hoa (i.e., shallow reef flats), lagoon circulation, incident waves breaking on the forereef, water elevation inside lagoon as well as spatial temperature variability. Chronologically, the investigated atolls were first Raroia Atoll with 9 months measurements between May 2018 and March 2019 during which the MALIS1 and MALIS2 cruises on-board the R/V ALIS took place. It was followed by a 4-month deployment in Takapoto Atoll (November 2021 to March 2022). In late April 2022, Apataki Atoll was instrumented until end of July, followed by Takaroa measurements between July to October. Apataki (Leg2) and Takaroa Atoll were conjointly instrumented during the MALIS 3 oceanographic cruise. Altogether, those multi-atoll data bring a worldwide unique oceanographic atoll data set, useful to address local pearl farming questions but potentially beneficial for other fundamental and applied investigations. Each data set was post processed, quality controlled and converted in NetCDF format. Files are available in open source into dedicated repositories in the SEANOE marine data platform with permanent DOIs

60 GHz ECR Ion Sources

International audienceElectron Cyclotron Resonance Ion Sources (ECRIS) deliver high intensities of multicharged heavy ions to accelerators; nowadays the evolution of science requires extremely intense ion beams. Since 1987, semi empirical scaling laws state that the ECR plasma density, in a minimum-B magnetic field configuration, varies like the square of the electromagnetic waves (EM) frequency or of the resonant magnetic induction. The present most performing ECRIS are operated at 28 GHz. In order to significantly increase the ion beam intensities, the use of EM with frequencies of the order of 60 GHz is evaluated worldwide. Conceptual studies based on superconductors are performed and different magnetic configurations accepting such a high ECR frequency are proposed by several groups. Since 2009, LPSC collaborates with IAP-RAS (Russia) and LNCMI (CNRS) and has built the first 60 GHz ECRIS with a topologically closed resonance zone, using radially cooled polyhelices. Unique ion beam intensities have been extracted through a 1mm hole, like 1.1 mA of O³⁺ (140 mA/cm²). The worldwide high frequency ECRIS research status is presented along with a focus on the present LPSC-IAP-LNCMI strategy

tpaviot/pythonocc-core: 7.7.2

<p>This release requires opencascade-7.7.2</p> <ul> <li><p>wrapper: port to opencascade-7.7.2</p> </li> <li><p>wrapper: bump swig version to 4.1.1</p> </li> <li><p>wrapper: new wrappers for RWPly, Unitsmethod, XDE</p> </li> <li><p>wrapper: handle TCollection_AsciiString, Standard_CString, TCollection_ExtendedString as python strings</p> </li> <li><p>wrapper: pickle objects that provide json serializer</p> </li> <li><p>wrapper: improve docstrings</p> </li> <li><p>dataexchange: gltf importer/exporter, ply exporter, obj exporter</p> </li> <li><p>display: support for PyQt6 and PySide6</p> </li> <li><p>webgl: refactored threejs and x3dom renderer to stay sync with latest releases</p> </li> <li><p>display: new tkinter renderer, making PyQt or wx GUI managers optional</p> </li> <li><p>cmake installer: respect CMake install prefix</p> </li> </ul&gt