Ionization energy loss in very thin absorbers

Grishin, V.M.; Ermilova, V. K.; Kotelnikov, S.K.

doi:10.1016/0168-9002(91)90250-t

Cited by 6 publications

(2 citation statements)

References 21 publications

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“…No reference to atomic binding energies can be retrieved in GEANT 3 documentation; however, according to comments embedded in the code, GEANT 3 used Bearden and Burr's binding energies, with updated values for xenon derived from [46]. Nevertheless, the GSHLIN subroutine, where binding energies are hard-coded, exhibits some discrepancies with respect to both Bearden and Burr's tabulations and the values in [46]; the origin of these values could not be retrieved in the literature, nor in the software documentation. Presumably, the code implementation and its comments went out of phase at some stage of GEANT 3 evolution.…”

Section: Binding Energies Used By Physics Software Systemsmentioning

confidence: 99%

Evaluation of Atomic Electron Binding Energies for Monte Carlo Particle Transport

Pia

Seo

Batič

et al. 2011

IEEE Trans. Nucl. Sci.

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A survey of atomic binding energies used by general purpose Monte Carlo systems is reported. Various compilations of these parameters have been evaluated; their accuracy is estimated with respect to experimental data. Their effects on physics quantities relevant to Monte Carlo particle transport are highlighted: X-ray fluorescence emission, electron and proton ionization cross sections, and Doppler broadening in Compton scattering. The effects due to different binding energies are quantified with respect to experimental data. The results of the analysis provide quantitative ground for the selection of binding energies to optimize the accuracy of Monte Carlo simulation in experimental use cases. Recommendations on software design dealing with these parameters and on the improvement of data libraries for Monte Carlo simulation are discussed.

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Section: Binding Energies Used By Physics Software Systemsmentioning

confidence: 99%

Evaluation of Atomic Electron Binding Energies for Monte Carlo Particle Transport

Pia

Seo

Batič

et al. 2011

IEEE Trans. Nucl. Sci.

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“…A model for the calculation of ionization losses of relativistic particles in thin absorbers, with comparison to experimental results, is given in Grishin et al (1991).…”

Section: Energy Loss Statisticsmentioning

confidence: 99%

Gaseous Radiation Detectors

Sauli

2014

113

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Widely used in high-energy and particle physics, gaseous radiation detectors are undergoing continuous development. The first part of this book provides a solid background for understanding the basic processes leading to the detection and tracking of charged particles, photons, and neutrons. Continuing then with the development of the multi-wire proportional chamber, the book describes the design and operation of successive generations of gas-based radiation detectors, as well as their use in experimental physics and other fields. Examples are provided of applications for complex events tracking, particle identification, and neutral radiation imaging. Limitations of the devices are discussed in detail. Including an extensive collection of data and references, this book is ideal for researchers and experimentalists in nuclear and particle physics.

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Detector adapted predictions of distributions used for particle identification using the relativistic rise

Bärring

1996

Nuclear Instruments and Methods in Physics Research Section B:

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In order to improve the accordance between measured and calculated energy loss distributions a new tuning method is suggested. The idea is that the oscillator strength function or, equivalently, the dielectric function of the specific medium used in the detector can be extracted from a deconvoluted well measured dE=dx spectrum. This procedure involves rather delicate numerical problems, which will be discussed in detail. The method is in particular suitable for detectors with thin layered sampling (xP < 1 cm) where traditional methods tend to fail due to the difficulties of correcting for detector inefficiencies and smearing. This is illustrated by testing the method on data from a thin layered Time Projection Chamber, TPC.

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Ionization energy loss in very thin absorbers

Cited by 6 publications

References 21 publications

Evaluation of Atomic Electron Binding Energies for Monte Carlo Particle Transport

Evaluation of Atomic Electron Binding Energies for Monte Carlo Particle Transport

Gaseous Radiation Detectors

Detector adapted predictions of distributions used for particle identification using the relativistic rise

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