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Tomáš Odstrčil

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author1

Across the 2 of 3 papers where every author was matched, so the position is known.

fields
  • physics.plasm-ph2
  • physics.data-an1

identity via Semantic Scholar / OpenAlex

most citedThe Dependence of the Impurity Transport on the Dominant Turbulent Regime in ELM-y H-mode Discharges

42 citations · 42 across the 1 of their papers we have counts for

collaborators

3 papers

physics.plasm-ph2020

Inference of Experimental Radial Impurity Transport on Alcator C-Mod: Bayesian Parameter Estimation and Model Selection

F. Sciortino, N. T. Howard, E. S. Marmar +11

We present a fully Bayesian approach for the inference of radial profiles of impurity transport coefficients and compare its results to neoclassical, gyrofluid and gyrokinetic mode…

physics.plasm-ph2020★ 42 cited

The Dependence of the Impurity Transport on the Dominant Turbulent Regime in ELM-y H-mode Discharges

Tomas Odstrcil, Nathan Howard, Francesco Sciortino +6

Laser blow-off injections of aluminum and tungsten have been performed on the DIII-D tokamak to investigate the variation of impurity transport in a set of dedicated ion and electr…

physics.data-an2020

Deep learning for Gaussian process tomography model selection using the ASDEX Upgrade SXR system

Francisco Matos, Jakob Svensson, Andrea Pavone +2

Gaussian process tomography (GPT) is a method used for obtaining real-time tomographic reconstructions of the plasma emissivity profile in a tokamak, given some model for the under…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.