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Conferences

CALIBRATION OF SPECTRORADIOMETERS USING TUNABLE LASERS

Author(s)
Yuqin Zong, Ping-Shine Shaw, Joseph Rice, C Cameron Miller
To shorten the long calibration chain when using the conventional source-based approach and therefore to reduce spectroradiometer's calibration uncertainty, we

STANDARD LEDS WITH SUPERIOR LONG-TERM STABILITY

Author(s)
Yuqin Zong, Weiqiang Zhao, C Cameron Miller
A large-chip standard LED with superior long-term stability have been developed at NIST. The standard LED uses a large, specialty die rated for 50 W but is

Depolarization in diffusely scattering media

Author(s)
Thomas A. Germer
We performed Mueller matrix Monte Carlo simulations of the propagation of optical radiation in diffusely scattering media for collimated incidence and report

Spatial frequency domain Mueller matrix imaging

Author(s)
Joseph Chue-Sang, Aaron Goldfain, Jeeseong C. Hwang, Thomas A. Germer
We combine Mueller matrix polarimetry (MMP) with spatial frequency domain imaging (SFDI) to create a technique that is sensitive to near-surface material

Recent research and development in photometry at NIST

Author(s)
Yuqin Zong, Maria Nadal, Benjamin K. Tsai, C Cameron Miller
Many developments were made in recent years in photometry at NIST for reducing measurement uncertainties, increasing calibration efficiencies, and adding

Neutron Spin Rotation Measurements

Author(s)
Jeffrey S. Nico, Shannon Hoogerheide, Hans Pieter Mumm, Murad Sarsour, J Amadio, Eamon Anderson, Libertad Barron-Palos, Bret Crawford, Chris Crawford, D. Esposito, Walter Fox, I Francis, J Fry, Chris Haddock, Adam Holley, Kirill Korsak, J Lieers, S Magers, M. Maldonado-Velazquez, D Mayorov, T Okudaira, C Paudel, S Santra, H.M. Shimizu, William M. Snow, A. Sprow, K. Steen, H E. Swanson, John Vanderwerp, P. A. Yergeau
The neutron spin rotation (NSR) collaboration used parity-violating spin rotation of transversely polarized neutrons transmitted through a 0.5 m liquid helium

Combinatorial Testing Metrics for Machine Learning

Author(s)
Erin Lanus, Laura Freeman, D. Richard Kuhn, Raghu N. Kacker
This short paper defines a combinatorial coverage metric for comparing machine learning (ML) data sets and proposes the differences between data sets as a

The Industrial Ontologies Foundry (IOF) perspectives

Author(s)
Mohamed H. Karray, Neil Otte, Rahul Rai, Farhad Ameri, Boonserm Kulvatunyou, Barry Smith, Dimitris Kiritsis, Chris Will, Rebecca Arista
In recent years there has been a number of promising technical and institutional developments regarding use of ontologies in industry. At the same time, however
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