A5101736119- Particle physics theoretical and experimental studies
- High-Energy Particle Collisions Research
- Quantum Chromodynamics and Particle Interactions
- Particle Detector Development and Performance
- Dark Matter and Cosmic Phenomena
- Cosmology and Gravitation Theories
- Geology and Paleoclimatology Research
- Computational Physics and Python Applications
- Cardiac electrophysiology and arrhythmias
- Black Holes and Theoretical Physics
- Neutrino Physics Research
- Gaussian Processes and Bayesian Inference
- Probabilistic and Robust Engineering Design
- Climate variability and models
- Astrophysics and Cosmic Phenomena
- Bayesian Methods and Mixture Models
- Species Distribution and Climate Change
- Cryospheric studies and observations
- Statistical Methods and Bayesian Inference
- Particle Accelerators and Free-Electron Lasers
- Global Public Health Policies and Epidemiology
- Fault Detection and Control Systems
- Advanced Multi-Objective Optimization Algorithms
- Atmospheric and Environmental Gas Dynamics
- Global Health Care Issues
University of Nottingham
2013-2025
University of Exeter
2023
California Institute of Technology
2010-2022
Medical University of Graz
2022
King's College London
2022
Electrophysiology and Heart Modeling Institute
2022
Newcastle University
2022
University of Sheffield
2009-2020
Institute of High Energy Physics
2011-2019
University of Groningen
2017
Approximate Bayesian computation (ABC) or likelihood-free inference algorithms are used to find approximations posterior distributions without making explicit use of the likelihood function, depending instead on simulation sample data sets from model. In this paper we show that under assumption existence a uniform additive model error term, ABC give exact results when sufficient summaries used. This interpretation allows approximation made in many previous application papers be understood,...
Abstract. Accurate estimates of past global mean surface temperature (GMST) help to contextualise future climate change and are required estimate the sensitivity system CO2 forcing through Earth's history. Previous GMST for latest Paleocene early Eocene (∼57 48 million years ago) span a wide range (∼9 23 °C higher than pre-industrial) prevent an accurate assessment during this extreme greenhouse interval. Using most recent data compilations, we employ multi-method experimental framework...
Estimation of divergence times is usually done using either the fossil record or sequence data from modern species. We provide an integrated analysis palaeontological and molecular to give estimates primate that utilize both sources information. The number preserved species discovered in record, along with their geological age distribution, combined extant initial anthropoid times. This by a stochastic forwards-modeling approach where speciation preservation discovery are simulated forward...
Lobsters are a ubiquitous and economically important group of decapod crustaceans that include the infraorders Polychelida, Glypheidea, Astacidea Achelata. They familiar forms such as spiny, slipper, clawed lobsters crayfish unfamiliar deep-sea "living fossil" species. The high degree morphological diversity among these has led to dynamic classification conflicting hypotheses evolutionary relationships. In this study, we estimated phylogenetic relationships major groups all lobster families...
Cardiac pump function arises from a series of highly orchestrated events across multiple scales. Computational electromechanics can encode these in physics-constrained models. However, the large number parameters models has made systematic study link between cellular, tissue, and organ scale to whole heart physiology challenging. A patient-specific anatomical model, or digital twin, was created. Cellular ionic dynamics contraction were simulated with Courtemanche-Land ToR-ORd-Land for atria...
The rapid delayed rectifier current carried by the human Ether-à-go-go-Related Gene (hERG) channel is susceptible to drug-induced reduction, which can lead an increased risk of cardiac arrhythmia. Establishing mechanism a specific drug compound binds hERG help reduce uncertainty when quantifying pro-arrhythmic risk. In this study, we introduce methodology for optimizing experimental voltage protocols produce data that enable different proposed models drug-binding be distinguished. We...
Abstract Some countries have been more successful than others at dealing with the COVID-19 pandemic. When we explore different policy approaches adopted as well underlying socio-economic factors, note an interesting set of correlations: led by women leaders fared significantly better those men on a wide range dimensions concerning global health crisis. In this paper, analyze available data for 35 countries, focusing following variables: number deaths per capita due to COVID-19, days reported...
Three active learning schemes are used to generate training data for Gaussian process interpolation of intermolecular potential energy surfaces. These aim achieve the lowest predictive error using fewest points and therefore act as an alternative status quo methods involving grid-based sampling or space-filling designs like Latin hypercubes (LHC). Results presented three molecular systems: CO2-Ne, CO2-H2, Ar3. For each system, two proposed notably outperform LHC comparable size, in systems,...
The Greenland Ice Sheet (GrIS), a major driver of global sea-level rise, holds approximately 7 meters equivalent. Despite its critical role, significant uncertainties remain about mass balance and response to climate forcing over the past few centuries, particularly before satellite era. This study aims address these gaps by reconstructing high-resolution (1x1 km) monthly surface (SMB) dataset spanning AD 1421–2024 quantifying contributions historical contemporary changes using...
Running complex computer models can be expensive in time, while learning about the relationships between input and output variables difficult. An emulator is a fast approximation to computationally model that used as surrogate for model, quantify uncertainty or improve process understanding. Here, we examine emulators based on singular value decompositions (SVDs) use them emulate global climate vegetation fields, examining how these fields are affected by changes Earth's orbit. The field may...
A procedure is proposed to produce intermolecular potential energy surfaces from limited data. The involves generation of geometrical configurations using a Latin hypercube design, with maximin criterion, based on inverse internuclear distances. Gaussian processes are used interpolate the data, over-specified molecular distances as covariates, greatly improving interpolation. Symmetric covariance functions specified so that interpolation surface obeys all relevant symmetries, reducing...
Abstract. We describe the development of “Paleoclimate PLASIM-GENIE (Planet Simulator–Grid-Enabled Integrated Earth system model) emulator” PALEO-PGEM and its application to derive a downscaled high-resolution spatio-temporal description climate last 5×106 years. The 5×106-year time frame is interesting for range paleo-environmental questions, not least because it encompasses evolution humans. However, choice was primarily pragmatic; tectonic changes can be neglected first order, so that...
Uncertainty quantification (UQ) is a vital step in using mathematical models and simulations to take decisions. The field of cardiac simulation has begun explore adopt UQ methods characterise uncertainty model inputs how that propagates through outputs or predictions. In this perspective piece we draw attention an important under-addressed source our predictions -- the structure equations themselves. difference between imperfect reality termed discrepancy, are often uncertain as size...
In patients with atrial fibrillation, local activation time (LAT) maps are routinely used for characterising patient pathophysiology. The gradient of LAT can be to calculate conduction velocity (CV), which directly relates material conductivity and may provide an important measure substrate properties. Including uncertainty in CV calculations would help interpreting the reliability these measurements. Here, we build upon a recent insight into reduced-rank Gaussian processes (GP) perform...
Numbers of Earth Observation (EO) satellites have increased exponentially over the past decade reaching current population 1193 (January 2023). Consequently, EO data volumes mushroomed and processing has migrated to cloud. Whilst attention been given launch in-orbit environmental impacts satellites, footprints overlooked. These issues require urgent centre water energy consumption, high carbon emissions for computer component manufacture, difficulty recycling components. Doing so is...
Abstract. A global sensitivity analysis is performed to describe the effects of astronomical forcing on climate–vegetation system simulated by model intermediate complexity LOVECLIM in interglacial conditions. The methodology relies estimation measures, using a Gaussian process emulator as fast surrogate climate model, calibrated set well-chosen experiments. outputs considered are annual mean temperature and precipitation growing degree days (GDD). experiments were run two distinct land...