Marco Mutze

Bio: Marco Mutze is an academic researcher from Dresden University of Technology. The author has contributed to research in topics: Near-Earth object & Bistatic radar. The author has an hindex of 3, co-authored 6 publications receiving 72 citations.

Noise mitigation and extraction of scatters in acoustic imaging by compressed sensing

Abstract: In order to maintain the theoretical limit of resolution in acoustic imaging for noisy data gathered in a material examination application we propose the application of compressed sensing (CS) on the reconstructed image. CS will mitigate the effects of noise in the reconstruction process and enable the extraction of location and estimated size of scatters to enhance the initial velocity model.

Hybrid CPU-GPU computation of adjoint derivatives in time domain

Abstract: For the solution of large-scale inverse scattering problems - in either acoustic or electromagnetic domain - gradient based optimization approaches are a method of choice, especially when the derivatives regarding the parameter of interest can be obtained from adjoint fields [1], [2]. Gradients regarding a parameter can be effectively computed using an adjoint approach where the direct and adjoint fields are integrated in opposite temporal direction. This yielding high memory consumption, the memory reduced computation of the gradients using checkpointing and recomputation of states from the checkpoint is a method of choice. We propose the use of graphics processing units (GPU) to accelerate the computation by solving the direct problem on the GPU and the adjoint problem on the CPU of the computer. The implementation of pipelining based on CUDA streams and pinned memory masks the memory transfer between host and GPU and allows for the computation of the adjoint derivatives at only a little more than twice the time of the solution of the direct problem.

Simulating and exploring large-scale wave fields from MPI-parallel finite-difference time-domain simulations of electromagnetic wave propagation using the Maui framework and interactive in-situ visualization

Abstract: One of the most challenging aspects of computational electromagnetics is the visualization of results and intermediates. Especially in cases where the full wave field in a large-scale domain is of interest for further analysis, IO becomes the main limiting factor on parallelism and simulation speed. In order to alleviate this bottleneck, we propose the application of in-situ visualization on large datasets by instrumenting the simulation code with an interface to a general purpose visualization software. In this paper we present a framework providing fields on structured grids for the fast implementation of large-scale FDTD solvers with implicit message passing (MPI) parallelism and included visualization instrumentation.

Monthly Notices of the Royal Astronomical Society

Abstract: Monthly Notices is one of the three largest general primary astronomical research publications. It is an international journal, published by the Royal Astronomical Society. This article 1 describes its publication policy and practice.

Dust-to-Gas and Refractory-to-Ice Mass Ratios of Comet 67P/Churyumov-Gerasimenko from Rosetta Observations

Abstract: This chapter reviews the estimates of the dust-to-gas and refractory-to-ice mass ratios derived from Rosetta measurements in the lost materials and the nucleus of 67P/Churyumov-Gerasimenko, respectively. First, the measurements by Rosetta instruments are described, as well as relevant characteristics of 67P. The complex picture of the activity of 67P, with its extreme North-South seasonal asymmetry, is presented. Individual estimates of the dust-to-gas and refractory-to-ice mass ratios are then presented and compared, showing wide ranges of plausible values. Rosetta’s wealth of information suggests that estimates of the dust-to-gas mass ratio made in cometary comae at a single point in time may not be fully representative of the refractory-to-ice mass ratio within the cometary nuclei being observed.

Observations, Meteorites, and Models: A Preflight Assessment of the Composition and Formation of (16) Psyche.

Abstract: Some years ago, the consensus was that asteroid (16) Psyche was almost entirely metal. New data on density, radar properties, and spectral signatures indicate that the asteroid is something perhaps even more enigmatic: a mixed metal and silicate world. Here we combine observations of Psyche with data from meteorites and models for planetesimal formation to produce the best current hypotheses for Psyche's properties and provenance. Psyche's bulk density appears to be between 3,400 and 4,100 kg m-3. Psyche is thus predicted to have between ~30 and ~60 vol% metal, with the remainder likely low-iron silicate rock and not more than ~20% porosity. Though their density is similar, mesosiderites are an unlikely analog to bulk Psyche because mesosiderites have far more iron-rich silicates than Psyche appears to have. CB chondrites match both Psyche's density and spectral properties, as can some pallasites, although typical pallasitic olivine contains too much iron to be consistent with the reflectance spectra. Final answers, as well as resolution of contradictions in the data set of Psyche physical properties, for example, the thermal inertia measurements, may not be resolved until the NASA Psyche mission arrives in orbit at the asteroid. Despite the range of compositions and formation processes for Psyche allowed by the current data, the science payload of the Psyche mission (magnetometers, multispectral imagers, neutron spectrometer, and a gamma-ray spectrometer) will produce data sets that distinguish among the models.