0000000000420037

AUTHOR

Jesse Railo

showing 7 related works from this author

Torus computed tomography

2020

We present a new computed tomography (CT) method for inverting the Radon transform in 2D. The idea relies on the geometry of the flat torus, hence we call the new method Torus CT. We prove new inversion formulas for integrable functions, solve a minimization problem associated to Tikhonov regularization in Sobolev spaces and prove that the solution operator provides an admissible regularization strategy with a quantitative stability estimate. This regularization is a simple post-processing low-pass filter for the Fourier series of a phantom. We also study the adjoint and the normal operator of the X-ray transform on the flat torus. The X-ray transform is unitary on the flat torus. We have i…

Physics::Medical PhysicsComputed tomography01 natural sciencesFourier'n sarjatintegraalilaskentamedicineFOS: MathematicstietokonetomografiaMathematics - Numerical Analysis0101 mathematicsFlat torusFourier seriesRadon transformPhysicsmedicine.diagnostic_testRadon transformApplied MathematicsMathematical analysisTorusNumerical Analysis (math.NA)65R10 65R32 44A12 42B05 46F12Fourier seriesFunctional Analysis (math.FA)regularizationMathematics - Functional Analysis010101 applied mathematicssovellettu matematiikkaRegularization (physics)numeerinen analyysiX-ray tomography
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Fourier analysis of periodic Radon transforms

2019

We study reconstruction of an unknown function from its $d$-plane Radon transform on the flat $n$-torus when $1 \leq d \leq n-1$. We prove new reconstruction formulas and stability results with respect to weighted Bessel potential norms. We solve the associated Tikhonov minimization problem on $H^s$ Sobolev spaces using the properties of the adjoint and normal operators. One of the inversion formulas implies that a compactly supported distribution on the plane with zero average is a weighted sum of its X-ray data.

Pure mathematicsGeneral MathematicsBessel potential01 natural sciencesTikhonov regularizationsymbols.namesakeFOS: Mathematics0101 mathematicsperiodic distributionsMathematicsRadon transformRadon transformApplied Mathematics44A12 42B05 46F12 45Q05010102 general mathematicsZero (complex analysis)Function (mathematics)Fourier analysisFunctional Analysis (math.FA)010101 applied mathematicsSobolev spaceregularizationMathematics - Functional AnalysisDistribution (mathematics)Fourier analysissymbolsAnalysis
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Geodesic ray transform with matrix weights for piecewise constant functions

2019

We show injectivity of the geodesic X-ray transform on piecewise constant functions when the transform is weighted by a continuous matrix weight. The manifold is assumed to be compact and nontrapping of any dimension, and in dimension three and higher we assume a foliation condition. We make no assumption regarding conjugate points or differentiability of the weight. This extends recent results for unweighted transforms.

Mathematics - Differential Geometry44A12 65R32 53A99GeodesicGeneral Mathematics010102 general mathematicsMathematical analysisConjugate pointsmatrix weight01 natural sciencesinversio-ongelmatManifoldFoliation010101 applied mathematicsMatrix (mathematics)geodesic ray transformDifferential Geometry (math.DG)Dimension (vector space)FOS: MathematicsPiecewiseConstant function0101 mathematicsintegral geometryMathematics
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Tensor tomography on Cartan–Hadamard manifolds

2017

We study the geodesic X-ray transform on Cartan-Hadamard manifolds, and prove solenoidal injectivity of this transform acting on functions and tensor fields of any order. The functions are assumed to be exponentially decaying if the sectional curvature is bounded, and polynomially decaying if the sectional curvature decays at infinity. This work extends the results of Lehtonen (2016) to dimensions $n \geq 3$ and to the case of tensor fields of any order.

Mathematics - Differential GeometryPure mathematicsGeodesic01 natural sciencesTheoretical Computer ScienceTensor fieldHadamard transform44A12 53C21 53C22 45Q05Euclidean geometryFOS: MathematicsSectional curvatureTensor0101 mathematicsMathematical PhysicsMathematicsCartan-Hadamard manifoldsSolenoidal vector fieldApplied Mathematics010102 general mathematicsComputer Science Applications010101 applied mathematicsDifferential Geometry (math.DG)Bounded functionSignal Processingtensor tomographyMathematics::Differential GeometryInverse Problems
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The higher order fractional Calderón problem for linear local operators : Uniqueness

2020

We study an inverse problem for the fractional Schr\"odinger equation (FSE) with a local perturbation by a linear partial differential operator (PDO) of order smaller than the order of the fractional Laplacian. We show that one can uniquely recover the coefficients of the PDO from the Dirichlet-to-Neumann (DN) map associated to the perturbed FSE. This is proved for two classes of coefficients: coefficients which belong to certain spaces of Sobolev multipliers and coefficients which belong to fractional Sobolev spaces with bounded derivatives. Our study generalizes recent results for the zeroth and first order perturbations to higher order perturbations.

osittaisdifferentiaaliyhtälötMathematics - Analysis of PDEsGeneral MathematicsSobolev multipliersFractional Calderón problemMathematics::Spectral Theory35R30 35R11Fractional Schrödinger equationinversio-ongelmat
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Retrieval of atmospheric CH4profiles from Fourier transform infrared data using dimension reduction and MCMC

2016

We introduce an inversion method that uses dimension reduction for the retrieval of atmospheric methane (CH4) profiles. Uncertainty analysis is performed using the Markov chain Monte Carlo (MCMC) statistical estimation. These techniques are used to retrieve CH4 profiles from the ground-based spectral measurements by the Fourier Transform Spectrometer (FTS) instrument at Sodankyla (67.4 degrees N, 26.6 degrees E), Northern Finland. The Sodankyla FTS is part of the Total Carbon Column Observing Network (TCCON), a global network that observes solar spectra in near-infrared wavelengths. The high spectral resolution of the data provides approximately 3 degrees of freedom about the vertical struc…

Atmospheric Science010504 meteorology & atmospheric sciencesComputer scienceDegrees of freedom (statistics)Inverse transform samplingMarkov chain Monte CarloInverse problem01 natural sciences010104 statistics & probabilitysymbols.namesakeGeophysicsFourier transformSpace and Planetary SciencePrincipal component analysisEarth and Planetary Sciences (miscellaneous)symbols0101 mathematicsTotal Carbon Column Observing NetworkUncertainty analysis0105 earth and related environmental sciencesRemote sensingJournal of Geophysical Research: Atmospheres
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Unique continuation property and Poincar�� inequality for higher order fractional Laplacians with applications in inverse problems

2020

We prove a unique continuation property for the fractional Laplacian $(-\Delta)^s$ when $s \in (-n/2,\infty)\setminus \mathbb{Z}$. In addition, we study Poincar\'e-type inequalities for the operator $(-\Delta)^s$ when $s\geq 0$. We apply the results to show that one can uniquely recover, up to a gauge, electric and magnetic potentials from the Dirichlet-to-Neumann map associated to the higher order fractional magnetic Schr\"odinger equation. We also study the higher order fractional Schr\"odinger equation with singular electric potential. In both cases, we obtain a Runge approximation property for the equation. Furthermore, we prove a uniqueness result for a partial data problem of the $d$-…

Pure mathematicsControl and Optimizationfractional Schrödinger equationApproximation propertyPoincaré inequalityRadon transform.01 natural sciencesinversio-ongelmatSchrödinger equationsymbols.namesakefractional Poincaré inequalityOperator (computer programming)Mathematics - Analysis of PDEsFOS: MathematicsDiscrete Mathematics and CombinatoricsUniquenesskvanttimekaniikka0101 mathematicsepäyhtälötMathematicsosittaisdifferentiaaliyhtälötPlane (geometry)inverse problemsComputer Science::Information Retrieval010102 general mathematicsOrder (ring theory)Gauge (firearms)Mathematics::Spectral Theoryunique continuationFunctional Analysis (math.FA)010101 applied mathematicsMathematics - Functional AnalysisModeling and Simulationsymbolsfractional LaplacianAnalysis35R30 46F12 44A12Analysis of PDEs (math.AP)
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