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- University of WashingtonUS81 papers
- University of MinnesotaUS71 papers
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- Max Planck Institute for AstronomyDE45 papers
- Massachusetts Institute of TechnologyUS36 papers
- University of MichiganUS32 papers
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- Center for Astrophysics Harvard & SmithsonianUS23 papers
15 papers · 1 filter
Fast thermal relaxation in cavity-coupled graphene bolometers with a Johnson noise read-out
D. K. Efetov, R. -J. Shiue, Y. Gao +10
Since the invention of the bolometer, its main design principles relied on efficient light absorption into a low-heat-capacity material and its exceptional thermal isolation from t…
Efficient quantum microwave-to-optical conversion using electro-optic nanophotonic coupled-resonators
Mohammad Soltani, Mian Zhang, Colm A. Ryan +3
We propose a low noise, triply-resonant, electro-optic (EO) scheme for quantum microwave-to-optical conversion based on coupled nanophotonics resonators integrated with a supercond…
The ISLAnds Project III: Variable Stars in Six Andromeda Dwarf Spheroidal Galaxies
Clara E. Martínez-Vázquez, Matteo Monelli, Edouard J. Bernard +15
We present a census of variable stars in six M31 dwarf spheroidal satellites observed with the Hubble Space Telescope. We detect 870 RR Lyrae (RRL) stars in the fields of And I (29…
Hydrodynamics of electrons in graphene
Andrew Lucas, Kin Chung Fong
Generic interacting many-body quantum systems are believed to behave as classical fluids on long time and length scales. Due to rapid progress in growing exceptionally pure crystal…
The Small Magellanic Cloud Investigation of Dust and Gas Evolution (SMIDGE): The Dust Extinction Curve from Red Clump Stars
Petia Yanchulova Merica-Jones, Karin M. Sandstrom, L. Clifton Johnson +6
We use Hubble Space Telescope (HST) observations of red clump stars taken as part of the Small Magellanic Cloud Investigation of Dust and Gas Evolution (SMIDGE) program to measure…
Learning Spatiotemporal Features for Infrared Action Recognition with 3D Convolutional Neural Networks
Zhuolin Jiang, Viktor Rozgic, Sancar Adali
Infrared (IR) imaging has the potential to enable more robust action recognition systems compared to visible spectrum cameras due to lower sensitivity to lighting conditions and ap…