Abstract
We present an analysis of a high energy mixed field taken with a Timepix chip at the CERF facility at CERN. The Timepix is an active array of 65K energy measuring pixels which allows visualization and energy measurement of the tracks created by individual particles. This allows characteristics of interest such as the LET and angular distributions of the incoming tracks to be calculated, as well as broad morphological track categories based on pattern recognition techniques. We compute and compare LET-like and angular information for different morphological track categories. Morphological track categories are found to possess overlapping LET and energy spectra, however the approaches are found to be complementary with morphological clustering yielding information which is indistinguishable on the basis of LET alone. The use of the Timepix as an indirect monitoring device outside of the primary beam at CERF is briefly discussed.
Highlights
We present an analysis of a high energy mixed field taken with a Timepix chip at the CERF facility at CERN
LET is a differential quantity, dE/dx, but for simplicity we here call LET in silicon (LETSi) the energy divided by the track length ∆E/∆L measured by Timepix, following the method of Hoang [17]
Clusters in the CERF mixed field sorted by morphology have widely overlapping LETSi distributions
Summary
We compute and compare LET-like and angular information for different morphological track categories. A single, interacting particle impinging on a pixelated sensor will deposit charge along the track of its interaction in the sensor, allowing the Timepix to act as a kind of digital nuclear emulsion. Cluster morphology can often be characteristic of the radiation field [14], and assignment of particles into broad morphological categories can provide a measure of discrimination between particle types.
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