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Boulder Group

The Boulder Statistics Group in the Statistical Engineering Division focuses on collaborations with NIST scientists in the Boulder, Colorado, campus.

The Boulder Statistics Group focuses on collaborations with NIST scientists in the Boulder, Colorado, campus, and with scientists in external institutions in the Boulder, Fort Collins, and Denver areas. The NIST collaborations emphasize applications of statistical methods in the physical sciences, including communications technology, electromagnetics, and neutron physics, and in the materials sciences, including reliability and related standard reference materials. The Group also conducts research in statistical methods for the assessment of measurement uncertainty, and for the combination of measurements in interlaboratory studies.

STAFF LIST

Projects and Programs

Surrogate Gas Prediction Model

Develop a proxy model to predict enhancement of C in atmospheric CO2 due to fossil fuel emissions (Cff) based on inexpensive measurements of anthropogenic trace

Metrology for Cardiac Leads

Implantable cardioverter-defibrillators (ICD), consisting of a pulse generator and conducting leads, deliver resynchonization therapy to the heart. Lead

Clutter Measurement

The ability to predict signal strength has many applications in the telecommunications industry. The difference(in dB) between the transmitted and received

Radiative Decay of the Neutron

Quantum electrodynamics (QED) predicts that a neutron will decay into a proton, electron and anti-neutrino. A small fraction of the time, this beta-decay

Publications

Microwave radiometer instability due to infrequent calibration

Author(s)
Kevin J. Coakley, Jolene D. Splett, Dave K. Walker, Mustafa Aksoy, Paul E. Racette
We directly quantify the effect of infrequent calibration on the stability of microwave radiometer temperature measurements (where a power measurement for the

Measurement of mass of aerosol particles

Author(s)
Kevin J. Coakley, Robert C. Hagwood, Kensei Ehara, Nobuhiko Fukushima, Kittichote Worachotekamjorn, Naoko Tajima, Hiromu Sakurai
An aerosol particle mass analyzer (APM) which classifies aerosol particles according to their mass has been developed. Mass distributions of aerosol particles