A5066284193- Solar and Space Plasma Dynamics
- Statistical and numerical algorithms
- Time Series Analysis and Forecasting
- Computational Physics and Python Applications
- Solar Radiation and Photovoltaics
- Geophysics and Gravity Measurements
- Advanced Statistical Methods and Models
- Radioactive Decay and Measurement Techniques
- Complex Systems and Time Series Analysis
- Algorithms and Data Compression
- Frailty in Older Adults
- Ionosphere and magnetosphere dynamics
- Advanced Statistical Process Monitoring
- Cardiac, Anesthesia and Surgical Outcomes
- Spectroscopy and Chemometric Analyses
- Climate Change and Health Impacts
- Climate variability and models
UCLouvain
2013-2023
Royal Observatory of Belgium
2022
Namur Research Institute for Life Sciences
2013
University of Liège
2013
University of Namur
2013
We report progress on the ongoing recalibration of Wolf sunspot number (SN) and Group (GN) following release version 2.0 SN in 2015. This constitutes both an update efforts reported 2016 Topical Issue Solar Physics a summary work by International Space Science Institute (ISSI) Team formed 2017 to develop optimal GN re-construction methods while continuing expand historical database. Significant has been made database side more is needed bring various proposed (primarily) reconstruction...
Observing and counting sunspots constitutes one of the longest-running scientific experiment, with first observations dating back to Galileo invention telescope around 1610. Today sunspot number (SN) time series acts as a benchmark solar activity in large range physical models. An appropriate statistical modelling, adapted series' complex nature, is however still lacking. In this work, we provide comprehensive uncertainty quantification analysis counts. Our interest lies following three...
Abstract Individual sunspot observations have formed a ground basis of international number, unique reference for long‐term solar variability in the centennial timescale. The original datasets were subjected to exploitations and analyses upon recalibrations number series. In this context, study reviewed analysed records their databases Kawaguchi Science Museum (KSM) Japan. KSM hosts drawings logbooks from 1972 2013. This dataset has longer chronological coverage than what was known...
Sunspots (SS) are dark spots appearing in groups on the solar surface as a manifestation of magnetism. While time series SS counts acts benchmark large variety physical sciences, today it lacks proper uncertainty quantification and modeling. This paper details first comprehensive noise model multiplicative framework. We estimate various error terms using either mixture or Hurdle models combined with overdispersed distributions. Key results an estimation short-term distribution, long-term...
Solar activity is an important driver of long-term climate trends and must be accounted for in models. Unfortunately, direct measurements this quantity over long periods do not exist. The only observation related to solar whose records reach back the seventeenth century are sunspots. Surprisingly, determining number sunspots consistently time has remained until today a challenging statistical problem. It arises from need consolidating data multiple observing stations around world context low...
In many applications, a control procedure is required to detect potential deviations in panel of serially correlated processes. It common that the processes are corrupted by noise and no prior information about in-control data available for purpose. This paper suggests general nonparametric monitoring scheme supervising such with time-varying mean variance. The method based on chart designed block bootstrap, which does not require parametric assumptions distribution data. tailored cope...