4.7 Article

Enabling orders of magnitude sensitivity improvement for quantification of Ga in a Ce matrix with a compact Echelle spectrometer

Related references

Note: Only part of the references are listed.
Article Optics

Development of advanced machine learning models for analysis of plutonium surrogate optical emission spectra

Ashwin P. Rao et al.

Summary: This work investigates and applies machine learning paradigms rarely seen in analytical spectroscopy to quantify gallium in cerium matrices. Through optimization of model design and hyperparameter experiments, the best predictive model is obtained. Gaussian kernel regression demonstrates excellent accuracy and sensitivity in prediction. This study suggests that these machine learning methods can be applied for rapid quality control analysis of plutonium alloys.

APPLIED OPTICS (2022)

Article Chemistry, Analytical

Analytical comparisons of handheld LIBS and XRF devices for rapid quantification of gallium in a plutonium surrogate matrix

Ashwin P. Rao et al.

Summary: This study compares a portable LIBS analyzer to a portable XRF device for quantification of gallium in a plutonium surrogate matrix of cerium for the first time. While LIBS can provide nearly instantaneous measurements, its accuracy is limited by self-absorption, while XRF offers superior sensitivity and lower detection limits.

JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2022)

Article Chemistry, Analytical

Measurement error due to self-absorption in calibration-free laser-induced breakdown spectroscopy

Aya Taleb et al.

Summary: A method is proposed to quantify measurement errors caused by self-absorption based on spectral radiance calculation; Line-integrated intensity measurements enable accurate analysis, affected by the spectral shape and intensity measurement method.

ANALYTICA CHIMICA ACTA (2021)

Article Chemistry, Analytical

Comparison of machine learning techniques to optimize the analysis of plutonium surrogate material via a portable LIBS device

Ashwin P. Rao et al.

Summary: This study utilized machine learning techniques to analyze optical emission spectra and successfully predicted silicon content. By comparing different models, it was found that boosted regression tree ensembles provided the highest predictive accuracy.

JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2021)

Article Physics, Fluids & Plasmas

Mechanisms and efficient elimination approaches of self-absorption in LIBS

Jiajia Hou et al.

PLASMA SCIENCE & TECHNOLOGY (2019)

Article Engineering, Biomedical

Rapid analysis of pharmaceutical drugs using LIBS coupled with multivariate analysis

P. K. Tiwari et al.

LASERS IN MEDICAL SCIENCE (2018)

Article Chemistry, Analytical

LIBS development methodology for forensic nuclear materials analysis

Bobby Bhatt et al.

ANALYTICAL METHODS (2018)

Article Instruments & Instrumentation

Analysis of Rare Earth Elements in Uranium Using Handheld Laser-Induced Breakdown Spectroscopy (HH LIBS)

Benjamin T. Manard et al.

APPLIED SPECTROSCOPY (2018)

Review Physics, Applied

Optical spectroscopy of laser-produced plasmas for standoff isotopic analysis

S. S. Harilal et al.

APPLIED PHYSICS REVIEWS (2018)

Article Thermodynamics

High-pressure 1D fuel/air-ratio measurements with LIBS

Yue Wu et al.

COMBUSTION AND FLAME (2018)

Article Computer Science, Artificial Intelligence

Mean Absolute Percentage Error for regression models

Arnaud de Myttenaere et al.

NEUROCOMPUTING (2016)

Article Spectroscopy

Clustering and training set selection methods for improving the accuracy of quantitative laser induced breakdown spectroscopy

Ryan B. Anderson et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2012)

Article Computer Science, Software Engineering

Algorithm 916: Computing the Faddeyeva and Voigt Functions

Mofreh R. Zaghloul et al.

ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE (2011)

Article Physics, Applied

High-fluence femtosecond laser ablation of silica glass: effects of laser-induced pressure

Haofeng Hu et al.

JOURNAL OF PHYSICS D-APPLIED PHYSICS (2011)

Article Chemistry, Analytical

Towards the determination of the geographical origin of yellow cake samples by laser-induced breakdown spectroscopy and chemometrics

Jean-Baptiste Sirven et al.

JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY (2009)

Article Spectroscopy

Artificial neural network for Cu quantitative determination in soil using a portable Laser Induced Breakdown Spectroscopy system

Edilene C. Ferreira et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2008)

Article Spectroscopy

Evaluation of self-absorption coefficients of aluminum emission lines in laser-induced breakdown spectroscopy measurements

AM El Sherbini et al.

SPECTROCHIMICA ACTA PART B-ATOMIC SPECTROSCOPY (2005)

Review Instruments & Instrumentation

Investigation of selected baseline removal techniques as candidates for automated implementation

G Schulze et al.

APPLIED SPECTROSCOPY (2005)

Article Optics

Correction of the self-absorption for reversed spectral lines: application to two resonance lines of neutral aluminium

H Amamou et al.

JOURNAL OF QUANTITATIVE SPECTROSCOPY & RADIATIVE TRANSFER (2003)