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Atomic Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

Atomic emission spectroscopy (AES) is an analytical technique used to determine the elemental composition of a sample by analyzing the light emitted from excited atoms. In AES, atoms in a sample are excited to higher energy levels by thermal energy from high-temperature sources, such as plasma, arcs, or sparks. When these excited atoms return to lower energy states, they emit light at specific wavelengths characteristic of each element. The resulting atomic emission spectrum, which consists of...
Atomic Spectroscopy: Absorption, Emission, and Fluorescence01:23

Atomic Spectroscopy: Absorption, Emission, and Fluorescence

Atomic spectroscopy is a vital tool in elemental analysis, both qualitatively and quantitatively. It can be broadly divided into optical spectroscopy, mass spectroscopy, and X-ray spectroscopy methods. The optical spectroscopic methods are atomic absorption spectroscopy (AAS), atomic emission spectroscopy (AES), and atomic fluorescence spectroscopy (AFS). The first step in all three methods is atomization, where the solid, liquid, or solution-phase samples are converted into gas-phase atoms and...
Atomic Emission Spectroscopy: Lab01:29

Atomic Emission Spectroscopy: Lab

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...
Atomic Emission Spectroscopy: Instrumentation01:22

Atomic Emission Spectroscopy: Instrumentation

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.
Atomic Absorption Spectroscopy: Radiation and Light Sources01:13

Atomic Absorption Spectroscopy: Radiation and Light Sources

Atomic absorption spectroscopy (AAS) relies on the Beer-Lambert law, which requires that the radiation source emits a narrow range of wavelengths to match the absorption characteristics of the analyte atom. The primary criteria for choosing an appropriate radiation source in AAS is to provide a precise and intense emission at specific wavelengths that will allow accurate detection of the analyte.
Two common narrow-range 'line' sources used in AAS are hollow-cathode lamps (HCLs) and...
Atomic Emission Spectroscopy: Interference01:30

Atomic Emission Spectroscopy: Interference

In atomic emission spectroscopy (AES), high-temperature atomizers excite a broad range of elements and molecules that generate complex emissions from sources such as oxides, hydroxides, and flame combustion products in the flame or plasma. Several strategies can be employed to minimize spectral interferences caused by overlapping emission lines or bands. These include increasing instrument resolution, choosing alternative emission lines, optimally placing the detector in low-background regions,...

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Related Experiment Video

Updated: May 19, 2026

A Novel Technique for Raman Analysis of Highly Radioactive Samples Using Any Standard Micro-Raman Spectrometer
07:52

A Novel Technique for Raman Analysis of Highly Radioactive Samples Using Any Standard Micro-Raman Spectrometer

Published on: April 12, 2017

Statistical methods applied to gamma-ray spectroscopy algorithms in nuclear security missions.

Deborah K Fagan1, Sean M Robinson, Robert C Runkle

  • 1Pacific Northwest National Laboratory, Richland, WA 99352, USA. dfagan@pnnl.gov

Applied Radiation and Isotopes : Including Data, Instrumentation and Methods for Use in Agriculture, Industry and Medicine
|August 9, 2012
PubMed
Summary
This summary is machine-generated.

Advanced statistical methods can improve gamma-ray spectroscopy for nuclear security. New approaches like Bayes modeling averaging can reduce decision uncertainty in detecting special nuclear materials.

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Measurements of Soil Carbon by Neutron-Gamma Analysis in Static and Scanning Modes
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Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
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Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

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Last Updated: May 19, 2026

A Novel Technique for Raman Analysis of Highly Radioactive Samples Using Any Standard Micro-Raman Spectrometer
07:52

A Novel Technique for Raman Analysis of Highly Radioactive Samples Using Any Standard Micro-Raman Spectrometer

Published on: April 12, 2017

Measurements of Soil Carbon by Neutron-Gamma Analysis in Static and Scanning Modes
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Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera
06:28

Visualization of Low-Level Gamma Radiation Sources Using a Low-Cost, High-Sensitivity, Omnidirectional Compton Camera

Published on: January 30, 2020

Area of Science:

  • Nuclear physics
  • Statistical analysis
  • Nuclear security

Background:

  • Gamma-ray spectroscopy is vital for nuclear security missions, particularly detecting special nuclear materials.
  • Current methods often focus on counting uncertainty, neglecting more complex decision uncertainties.

Purpose of the Study:

  • To categorize existing statistical methods in gamma-ray spectroscopy.
  • To identify and propose novel statistical approaches for improved nuclear material detection.

Main Methods:

  • Categorization of current gamma-ray spectroscopy methods based on statistical underpinnings.
  • Exploration of untapped statistical techniques, including Bayes Modeling Averaging and hierarchical/empirical Bayes methods.

Main Results:

  • Existing methods inadequately address complex decision uncertainties in gamma-ray source identification.
  • Novel statistical methods offer a rigorous way to incorporate all uncertainty sources, potentially reducing decision uncertainty.

Conclusions:

  • Integrating problem physics with advanced statistical methods is key to enhancing algorithm performance.
  • Untapped statistical methods can significantly improve nuclear security by reducing decision uncertainty and enhancing detection capabilities.