Using gradient boosting regression to improve ambient solar wind model predictions

Studying the ambient solar wind, a continuous pressure‐driven plasma flow emanating from our Sun, is an important component of space weather research. The ambient solar wind flows in interplanetary space determine how solar storms evolve through the heliosphere before reaching Earth, and especially during solar minimum are themselves a driver of activity in the Earth’s magnetic field. Accurately forecasting the ambient solar wind flow is therefore imperative to space weather awareness. Here we present a machine learning approach in which solutions from magnetic models of the solar corona are used to output the solar wind conditions near the Earth. The results are compared to observations and existing models in a comprehensive validation analysis, and the new model outperforms existing models in almost all measures. In addition, this approach offers a new perspective to discuss the role of different input data to ambient solar wind modeling, and what this tells us about the underlying physical processes. The final model discussed here represents an extremely fast, well‐validated and open‐source approach to the forecasting of ambient solar wind at Earth

Marine water quality assessment at Mumbai West Coast

In recent past, Mumbai Municipal corporation was not able to keep pace with required infrastructural facilities due to unprecedented population growth. Sewage disposal is one of the major issues, which needed immediate attention because huge quantity of sewage with only preliminary treatment is disposed into the nearby coastal areas and has deteriorated the water quality of the near coastal region. World Bank assisted Bombay Sewage Disposal Project (BSDP) undertaken by the Municipal Corporation of Bruhan Mumbai (MCBM) envisaged sewage discharges through marine outfalls at Worli and Bandra and treatment by aerated lagoons for other areas before disposal in creeks. During BSDP programme, studies were undertaken on water quality assessment along the west coast of Mumbai before and after commissioning of the Worli outfall. A pre- and post-commissioning water quality database for selected parameters was generated for near shore as well as west coast region up to 5 km seaward distance to assess the efficacy of the Worli outfall and delineate the areas affected around diffuser location of the outfall due to sewage disposal.This paper presents observations of the coastal studies at Mumbai and the impact zone of Worli outfall

Low temperature hot-wire CVD nitrides for deep sub-micron CMOS technologies

In this work we report results on MNS capacitors with the silicon nitride films fabricated by using a novel Hot-Wire CVD technique. The dependence of deposition parameters on the film properties is looked into. Our electrical characterisation results on MNS capacitors show good oxide breakdown fields, and low leakage