260 citations · 2k across the 45 of their papers we have counts for
45 papers
Real-time virtual circuits for plasma shape control via neural network emulators: experimental demonstration on MAST Upgrade
Nicola C. Amorisco, Kamran Pentland, Adriano Agnello +12
Conventional plasma shape control in tokamaks relies on virtual circuits (VCs) that are computed offline from linearisations around a small, tailored number of reference equilibria…
Real-time virtual circuits for plasma shape control via neural network emulators: integration and testing in the MAST-U PCS
Matthew J. Marshall, Edward Jones, Graham J. McArdle +10
The deployment of advanced, AI-enabled control algorithms in tokamak experiments requires robust integration with existing plasma control system (PCS) architectures and extensive p…
Real-time virtual circuits for plasma shape control via neural network emulators
Alasdair Ross, George K. Holt, Kamran Pentland +7
Reliable position and shape control in tokamak plasmas requires accurate real-time regulation of several strongly coupled shape parameters. The control vectors that disentangle the…
Real-time virtual circuits for plasma shape control via neural network emulators: dynamic validation in closed-loop simulations
K. Pentland, A. Ross, N. C. Amorisco +5
Reliable confinement and stable performance of tokamak fusion plasmas require accurate real-time magnetic shape control. A promising route to reduced latency and increased flexibil…
The FreeGSNKE Pulse Design Tool (FPDT): a computational framework for evolutive plasma scenario and control design
K. Pentland, N. C. Amorisco, A. Ross +8
We present the FreeGSNKE Pulse Design Tool (FPDT), an open-source, Python-based computational framework that enables in silico testing and predictive design of tokamak plasma scena…
TokaMind: A Multi-Modal Transformer Foundation Model for Tokamak Plasma Dynamics
Tobia Boschi, Andrea Loreti, Nicola C. Amorisco +13
We present TokaMind, to our knowledge the first open-source foundation model for tokamak plasma dynamics, based on a Multi-Modal Transformer (MMT) and pretrained on heterogeneous d…
TokaMark: A Comprehensive Benchmark for MAST Tokamak Plasma Models
Cécile Rousseau, Samuel Jackson, Rodrigo H. Ordonez-Hurtado +13
Development and operation of commercially viable fusion energy reactors such as tokamaks require accurate predictions of plasma dynamics from sparse, noisy, and incomplete sensors…
Real-Time Applicability of Emulated Virtual Circuits for Tokamak Plasma Shape Control
Pedro Cavestany, Alasdair Ross, Adriano Agnello +5
Machine learning has recently been adopted to emulate sensitivity matrices for real-time magnetic control of tokamak plasmas. However, these approaches would benefit from a quantif…
Multiple solutions to the static forward free-boundary Grad-Shafranov problem on MAST-U
K. Pentland, N. C. Amorisco, P. E. Farrell +1
The Grad-Shafranov (GS) equation is a nonlinear elliptic partial differential equation that governs the ideal magnetohydrodynamic equilibrium of a tokamak plasma. Previous studies…
Validation of the static forward Grad-Shafranov equilibrium solvers in FreeGSNKE and Fiesta using EFIT++ reconstructions from MAST-U
K. Pentland, N. C. Amorisco, O. El-Zobaidi +10
A key aspect in the modelling of magnetohydrodynamic (MHD) equilibria in tokamak devices is having access to fast, accurate, and stable numerical simulation methods. There is an in…
Emulation Techniques for Scenario and Classical Control Design of Tokamak Plasmas
A. Agnello, N. C. Amorisco, A. Keats +5
The optimisation of scenarios and design of real-time-control in tokamaks, especially for machines still in design phase, requires a comprehensive exploration of solutions to the G…
Implications for Galaxy Formation Models from Observations of Globular Clusters around Ultra-Diffuse Galaxies
Teymoor Saifollahi, Dennis Zaritsky, Ignacio Trujillo +5
We present an analysis of Hubble Space Telescope observations of globular clusters (GCs) in six ultra-diffuse galaxies (UDGs) in the Coma cluster, a sample that represents UDGs wit…
Testing strong lensing subhalo detection with a cosmological simulation
Qiuhan He, James Nightingale, Andrew Robertson +9
Strong gravitational lensing offers a compelling test of the cold dark matter paradigm, as it allows for subhaloes with masses of M and below to be detected. W…
Automated galaxy-galaxy strong lens modelling: no lens left behind
Amy Etherington, James W. Nightingale, Richard Massey +9
The distribution of dark and luminous matter can be mapped around galaxies that gravitationally lens background objects into arcs or Einstein rings. New surveys will soon observe h…
Systematic errors induced by the elliptical power-law model in galaxy-galaxy strong lens modeling
Xiaoyue Cao, Ran Li, J. W. Nightingale +9
The elliptical power-law (EPL) model of the mass in a galaxy is widely used in strong gravitational lensing analyses. However, the distribution of mass in real galaxies is more com…
Cold dark matter subhaloes at arbitrarily low masses
Nicola C. Amorisco
A defining prediction of the cold dark matter (CDM) cosmological model is the existence of a very large population of low mass haloes, down to planet-size masses. However, their fa…
Dwarf stellar haloes: a powerful probe of small-scale galaxy formation and the nature of dark matter
Alis J. Deason, Sownak Bose, Azadeh Fattahi +3
We use N-body cosmological simulations and empirical galaxy models to study the merger history of dwarf-mass galaxies (with M_halo~10^10 M_Sun). Our input galaxy models describe th…
Galaxy-galaxy strong lens perturbations: line-of-sight haloes versus lens subhaloes
Qiuhan He, Ran Li, Carlos S. Frenk +8
We rederive the number density of intervening line-of-sight haloes relative to lens subhaloes in galaxy-galaxy strong lensing observations, where these perturbers can generate dete…
Halo concentration strengthens dark matter constraints in galaxy-galaxy strong lensing analyses
Nicola C. Amorisco, James Nightingale, Qiuhan He +8
A defining prediction of the cold dark matter (CDM) cosmological model is the existence of a very large population of low-mass haloes. This population is absent in models in which…
Giant cold satellites from low-concentration haloes
Nicola C. Amorisco
The dwarf satellite galaxies of the Milky Way Crater II and Antlia II have uncommonly low dynamical mass densities, due to their large size and low velocity dispersion. Previous wo…
First constraints on Fuzzy Dark Matter from the dynamics of stellar streams in the Milky Way
Nicola C. Amorisco, A. Loeb
We present a novel method to constrain the mass of ultra-light bosons as the dark matter using stellar streams formed by disrupting Globular Clusters in the Milky Way. The turbulen…
Globular cluster populations and the kinematical fingerprints of minor mergers
Nicola C. Amorisco
We use Monte Carlo CDM assembly histories, minor-merger N-body simulations and empirical relations between halo mass and the globular cluster (GC) abundance to study the kinemat…
The virial mass distribution of ultra-diffuse galaxies in clusters and groups
Nicola C. Amorisco
We use the observed abundances of ultra-diffuse galaxies (UDGs) in clusters and groups and ΛCDM subhalo mass functions to put constraints on the distribution {of present-day halo m…
Halo Substructure in the SDSS-Gaia Catalogue : Streams and Clumps
G. C. Myeong, N. W. Evans, V. Belokurov +2
We use the SDSS-Gaia Catalogue to identify six new pieces of halo substructure. SDSS-Gaia is an astrometric catalogue that exploits SDSS data release 9 to provide first epoch photo…