347 citations
- North Carolina State UniversityUS67 papers
- Columbia UniversityUS12 papers
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- University of California, BerkeleyUS8 papers
- Los Alamos National LaboratoryUS7 papers
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- McGill UniversityCA6 papers
- Technical University of DenmarkDK6 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Chungbuk National UniversityKR5 papers
- Jet Propulsion LaboratoryUS5 papers
- University of ManitobaCA5 papers
5 papers · 1 filter
Formation and properties of astrophysical carbonaceous dust. I: ab-initio calculations of the configuration and binding energies of small carbon clusters
Christopher Mauney, Marco Buongiorno Nardelli, Davide Lazzati
The binding energies of n < 100 carbon clusters are calculated using the ab-initio density functional theory code Quantum Espresso. Carbon cluster geometries are determined using s…
High-Energy X-ray Imaging of the Pulsar Wind Nebula MSH~15-52: Constraints on Particle Acceleration and Transport
Hongjun An, Kristin K. Madsen, Stephen P. Reynolds +11
We present the first images of the pulsar wind nebula (PWN) MSH 15-52 in the hard X-ray band (>8 keV), as measured with the Nuclear Spectroscopic Telescope Array (NuSTAR). Overall,…
Photospheric emission from long duration gamma-ray bursts powered by variable engines
Diego López-Cámara, Brian Morsony, Davide Lazzati
We present the results of a set of numerical simulations of long-duration gamma-ray burst jets aimed at studying the effect of a variable engine on the peak frequency of the photos…
NuSTAR study of Hard X-Ray Morphology and Spectroscopy of PWN G21.5-0.9
Melania Nynka, Charles J. Hailey, Stephen P. Reynolds +16
We present NuSTAR high energy X-ray observations of the pulsar wind nebula (PWN)/supernova remnant G21.5-0.9. We detect integrated emission from the nebula up to ~40 keV, and resol…
Compressive Imaging via Approximate Message Passing with Image Denoising
Jin Tan, Yanting Ma, Dror Baron
We consider compressive imaging problems, where images are reconstructed from a reduced number of linear measurements. Our objective is to improve over existing compressive imaging…