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- University of MichiganUS213 papers
- Fermi National Accelerator LaboratoryUS68 papers
- University College LondonGB57 papers
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES53 papers
- Unidades Centrales Científico-TécnicasES53 papers
- Institute for High Energy PhysicsES46 papers
- Institució Catalana de Recerca i Estudis AvançatsES43 papers
- Netherlands Institute for Radio AstronomyNL42 papers
- Institut Català de Ciències del ClimaES41 papers
- Boston UniversityUS39 papers
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- University of California, BerkeleyUS38 papers
13 papers · 1 filter
CHARA/MIRC-X -- a high-sensitive six telescope interferometric imager concept, commissioning, and early science
Narsireddy Anugu, Jean-Baptiste Le Bouquin, John D. Monnier +14
MIRC-X is a six telescope beam combiner at the CHARA array that works in J and H wavelength bands and provides an angular resolution equivalent to a =331m diameter telescope. Th…
The Michigan Infrared Test Thermal ELT N-band (MITTEN) Cryostat
R. Bowens, E. Viges, M. R. Meyer +5
We introduce the Michigan Infrared Test Thermal ELT N-band (MITTEN) Cryostat, a new facility for testing infrared detectors with a focus on mid-infrared (MIR) wavelengths (8-13 mic…
VLTI images of circumbinary disks around evolved stars
Jacques Kluska, Rik Claes, Akke Corporaal +13
The new generation of VLTI instruments (GRAVITY, MATISSE) aims to produce routinely interferometric images to uncover the morphological complexity of different objects at high angu…
Disease transmission through expiratory aerosols on an urban bus
Zhihang Zhang, Taehoon Han, Kwang Hee Yoo +3
Airborne respiratory diseases such as SARS-CoV-2 (COVID-19) pose significant challenges for public transportation. Several recent outbreaks of SARS-CoV-2 indicate the high risk of…
Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop
Matthew Marge, Carol Espy-Wilson, Nigel Ward
With robotics rapidly advancing, more effective human-robot interaction is increasingly needed to realize the full potential of robots for society. While spoken language must be pa…
Bias correction for quantile regression estimators
Grigory Franguridi, Bulat Gafarov, Kaspar Wuthrich
We study the bias of classical quantile regression and instrumental variable quantile regression estimators. While being asymptotically first-order unbiased, these estimators can h…