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Full-Text Articles in Physical Sciences and Mathematics
Predictive Formula For Electron Range Over A Large Span Of Energy, Anne C. Starley
Predictive Formula For Electron Range Over A Large Span Of Energy, Anne C. Starley
Reports
A model developed by the Materials Research Group that calculates electron penetration range of some common materials, has been greatly expanded with the hope that such extensions will predict the range in other, perhaps, more interesting materials. Developments in this extended model aid in predicting the approximate penetration depth into diverse classes of materials for a broad range of energetic incident electrons (10 MeV, with better than 20% accuracy). The penetration depth—or range—of a material describes the maximum distance electrons can travel through a material, before losing all of its incident kinetic energy. This model has started to predict a …
Temperature Trends And Episodic Changes Of The Middle Atmosphere Over Logan Utah With Consideration To Model Specification, Troy A. Wynn, Vincent B. Wickwar
Temperature Trends And Episodic Changes Of The Middle Atmosphere Over Logan Utah With Consideration To Model Specification, Troy A. Wynn, Vincent B. Wickwar
Reports
A summary of the linear trends estimated from the USU Rayleigh Lidar (41.74o N, 118oW) temperature data set. The data set covers a time span from September, 1993 to August, 2003 and an altitude range of 45 to 80 km. The data set includes 584 data points at 45 km to 580 data points at 80 km. Cooling trend profiles are calculated and compared to results from other researchers. Collinearity and bias are also considered as issues that could affect the regression results. Also considered is the possibility that the Mt. Pinatubo eruption has influenced temperature trend estimates. This is …
The Effects Of Model Misspecification On Linear Regression Coefficients As Applicable To Solar And Linear Terms, Troy A. Wynn, Vincent B. Wickwar
The Effects Of Model Misspecification On Linear Regression Coefficients As Applicable To Solar And Linear Terms, Troy A. Wynn, Vincent B. Wickwar
Reports
Determining atmospheric solar response from data is typically done by fitting a linear model to the data using a least squares approximation. These models typically include a solar proxy that follows the 11 year solar intensity variation, as well as a linear cooling trend. In this paper it is argued that such a regression model is flawed in that the atmospheric solar response might be out of phase with the solar input. And if so, the phase difference between solar input and atmospheric solar response can significantly bias the linear regression coefficient and attenuate the solar coefficient. This result is …
Wind Climatology At 87 Km Above The Rocky Mountains At Bear Lake Observatory--Fabry-Perot Observations Of Oh, V. B. Wickwar, I K. Monson, C M. Vadnais, D Rees
Wind Climatology At 87 Km Above The Rocky Mountains At Bear Lake Observatory--Fabry-Perot Observations Of Oh, V. B. Wickwar, I K. Monson, C M. Vadnais, D Rees
Reports
This paper presents the neutral -wind climatology at approximately 87-km 53 altitude from Utah State University's Bear Lake Observatory (BLO). a mid-latitude site 54 situated in the middle of the Rocky Mountains. The winds were determined using a very 55 sensitive Fabry-Perot interferometer (FPI) observing the OH Me inel (6-2) PI (3) line al 56 843 nm. The climatology. determined from monthly averages of the nightly evolution of 57 the geographic meridional and zonal wind components over forty· five months, has three 58 distinct seasonal patterns: winter (November- February), summer (May-Jul y), and late 59 Slimmer (August and September). The …