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Bradley Alpert

Research interests center on algorithms for scientific computation. As a numerical analyst, develops algorithms for solution of integral equations and partial differential equations. Expertise includes fast multipole methods, high-order quadrature techniques, special functions of mathematical physics, harmonic-analysis-based methods, wavelets, signal processing, and machine learning. Research applications include computational electromagnetics, including time-domain methods and nonreflecting boundary conditions.  Recent work in computational methods for thermophysical equations of state and data analysis for low-temperature superconducting transition-edge sensors.


Approaches to the Optimal Nonlinear Analysis of Microcalorimeter Pulses

Joseph W. Fowler, Christine G. Pappas, Bradley K. Alpert, William B. Doriese, Galen C. O'Neil, Joel N. Ullom, Daniel S. Swetz
We consider how to analyze microcalorimeter pulses for quantities that are nonlinear in the data, while preserving the signal-to-noise advantages of linear

A Reassessment of Absolute Energies of X-ray L Lines of Lanthanide Metals

Bradley K. Alpert, William B. Doriese, Gene C. Hilton, Lawrence T. Hudson, Young Il Joe, Kelsey M. Morgan, Carl D. Reintsema, Daniel R. Schmidt, Daniel S. Swetz, Csilla I. Szabo-Foster, Joel N. Ullom, Joseph W. Fowler, Galen C. O'Neil, Douglas A. Bennett
We introduce a new technique for determining x-ray fluorescence line energies and widths, and we present measurements made with this technique of 22 x-ray L
Created May 31, 2018, Updated June 11, 2020