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Atomic Emission Spectroscopy: Instrumentation01:22

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The instrumentation of atomic emission spectrometry (AES) involves various components, including atomization devices that convert samples into gas-phase atoms and ions. There are two main types of atomization devices: continuous and discrete atomizers.  Continuous atomizers, like plasmas and flames, introduce samples in a constant stream, while discrete atomizers inject individual samples using syringes or autosamplers. The most common discrete atomizer is the electrothermal atomizer.
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AES is a powerful analytical technique, especially effective when used with plasma sources, producing abundant spectra in characteristic emission lines. The Inductively Coupled Plasma (ICP), in particular, yields superior quantitative analytical data due to its high stability, low noise, low background, and minimal interferences under optimal experimental conditions. However, newer air-operated microwave sources are emerging as promising alternatives that could be more cost-effective than...
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Technical Note: SpekPy v2.0-a software toolkit for modeling x-ray tube spectra.

Gavin Poludniowski1,2, Artur Omar1,3, Robert Bujila1,4

  • 1Medical Radiation Physics and Nuclear Medicine, Karolinska University Hospital, Stockholm, Sweden.

Medical Physics
|May 16, 2021
PubMed
Summary
This summary is machine-generated.

SpekPy v2 accurately models x-ray spectra for tungsten and molybdenum targets, validating its use in radiation physics. This free Python toolkit offers reliable spectral predictions for diverse applications.

Keywords:
X-ray imagingX-ray spectraX-ray tube modelingsoftware

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Area of Science:

  • Medical Physics
  • Computational Physics
  • Radiological Sciences

Background:

  • Accurate modeling of x-ray spectra is crucial for radiation therapy and diagnostic imaging.
  • Existing tools may have limitations in material scope or physical phenomenon modeling.
  • SpekPy provides an open-source solution for simulating x-ray tube spectra.

Purpose of the Study:

  • To describe advances in SpekPy version 2.0 (v2), focusing on expanded target materials and enhanced anode heel effect modeling.
  • To demonstrate the practical application and validation of the SpekPy toolkit.
  • To compare different physics models within SpekPy for spectral prediction accuracy.

Main Methods:

  • SpekPy v2 predictions were compared against experimentally measured spectra for tungsten and molybdenum targets.
  • The software's ability to model tube output variations with potential was assessed using CT scanner data.
  • On-axis and off-axis spectral predictions were evaluated using different physics models (casim, kqp).

Main Results:

  • SpekPy v2 demonstrated close agreement (within 2%) with experimental spectra for various tube potentials.
  • CT scanner spectral output predictions showed good correlation (within 4%) across a range of kilovoltages.
  • The kqp model offers higher accuracy for anode heel effect modeling, including bremsstrahlung anisotropy.

Conclusions:

  • SpekPy v2 reliably predicts both on- and off-axis x-ray spectra for tungsten and molybdenum targets.
  • The toolkit's open-source MIT license facilitates integration into various research and clinical projects.
  • SpekPy v2 is a valuable and accessible tool for researchers and professionals in radiological sciences.