Date of Award

Spring 2003

Document Type


Degree Name

Doctor of Philosophy (PhD)


Computational Analysis and Modeling

First Advisor

Lee Sawyer


The DØ calorimeter at Fermilab is a sampling calorimeter measuring the energy of particles produced in high energy proton-antiproton collisions. A set of accurate sampling weights is of significant importance to DØ research activity. The objective of this work was to obtain a set of optimized sampling weights for the DØ central calorimeter, the Inter-Cryostat Detector (ICD), the Central Calorimeter Massless Gap (CCMG), and the End Calorimeter Massless Gap (ECMG).

The foundation of the optimization method is that, in high energy physics, the ratio of energy E and the corresponding momentum P of a particle is approximately 1, in units where speed of light is c = 1. The energy distributions in different layers of the calorimeter is different, there are also differences among different calorimeter channels. A computational model, based on those differences, was formulated to calculate the energy E, and the momentum P was obtained through the detectors' precision tracker measurements. The Chi-square minimization was performed between E/P and 1 using the minimization software package “TMiuit” from the European Organization for Nuclear Research (CERN).

The result of this minimization was a set of energy sampling weights for electrons, which verifies that the existing sampling weights for the CC region are optimized. For ICD, CCMG and ECMG regions, more work will be needed due to the lack of data in those regions.

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