Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Band Theory02:35

Band Theory

17.2K
When two or more atoms come together to form a molecule, their atomic orbitals combine and molecular orbitals of distinct energies result. In a solid, there are a large number of atoms, and therefore a large number of atomic orbitals that may be combined into molecular orbitals. These groups of molecular orbitals are so closely placed together to form continuous regions of energies, known as the bands.
The energy difference between these bands is known as the band gap.
Conductor, Semiconductor,...
17.2K
The Uncertainty Principle04:08

The Uncertainty Principle

31.8K
Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
31.8K
Uncertainty in Measurement: Reading Instruments02:46

Uncertainty in Measurement: Reading Instruments

51.6K
Counting is the type of measurement that is free from uncertainty, provided the number of objects being counted does not change during the process. Such measurements result in exact numbers. By counting the eggs in a carton, for instance, one can determine exactly how many eggs are there in the carton. Similarly, the numbers of defined quantities are also exact. For example, 1 foot is exactly 12 inches, 1 inch is exactly 2.54 centimeters, and 1 gram is exactly 0.001 kilograms. Quantities...
51.6K
Uncertainty: Overview00:59

Uncertainty: Overview

1.7K
In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
1.7K
¹H NMR: Interpreting Distorted and Overlapping Signals01:02

¹H NMR: Interpreting Distorted and Overlapping Signals

1.5K
Spin systems where the difference in chemical shifts of the coupled nuclei is greater than ten times J are called first-order spin systems. These nuclei are weakly coupled, and their chemical shifts and coupling constant can generally be estimated from the well-separated signals in the spectrum.
As Δν decreases and the signals move closer, the doublets appear increasingly distorted. The intensities of the inner lines increase at the cost of those of the outer lines as the signals are...
1.5K
Uncertainty in Measurement: Significant Figures03:34

Uncertainty in Measurement: Significant Figures

81.6K
All the digits in a measurement, including the uncertain last digit, are called significant figures or significant digits. Note that zero may be a measured value; for example, if a scale that shows weight to the nearest pound reads “140,” then the 1 (hundreds), 4 (tens), and 0 (ones) are all significant (measured) values.
81.6K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Monolayer MoS<sub>2</sub> Sensors for Probing the Self-Heating Effect in Indium Tin Oxide Nanoelectronics.

Nano letters·2026
Same author

Nitrogen Vacancies Induce Fatigue in Ferroelectric Al<sub>0.93</sub>B<sub>0.07</sub>N.

ACS nano·2025
Same author

Monolayer WSe<sub>2</sub> Field-Effect Transistor Performance Enhancement by Atomic Defect Engineering and Passivation.

ACS nano·2025
Same author

Infrared Signatures for Phase Identification in Hafnium Oxide Thin Films.

ACS nano·2023
Same author

Spectral and polarization based imaging in deep-ultraviolet excited photoelectron microscopy.

The Review of scientific instruments·2022
Same author

Hybridization from Guest-Host Interactions Reduces the Thermal Conductivity of Metal-Organic Frameworks.

Journal of the American Chemical Society·2022

Related Experiment Video

Updated: Jan 30, 2026

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.8K

Uncertainty in linewidth quantification of overlapping Raman bands.

Christopher B Saltonstall1, Thomas E Beechem2, Jatin Amatya3

  • 1Department of Mechanical and Aerospace Engineering, University of Virginia, Charlottesville, Virginia 22904, USA.

The Review of Scientific Instruments
|February 3, 2019
PubMed
Summary
This summary is machine-generated.

Quantifying spectral linewidths is challenging due to overlapping peaks. Relative peak intensity (RPI) significantly impacts linewidth accuracy in Raman spectroscopy, more than spectral resolution or signal to noise.

More Related Videos

Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional &#960;-conjugate Systems
09:57

Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems

Published on: February 10, 2020

7.6K
Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
15:04

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Published on: May 18, 2011

13.6K

Related Experiment Videos

Last Updated: Jan 30, 2026

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements
10:22

Split Point Analysis and Uncertainty Quantification of Thermal-Optical Organic/Elemental Carbon Measurements

Published on: September 7, 2019

8.8K
Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional &#960;-conjugate Systems
09:57

Ultrafast Time-resolved Near-IR Stimulated Raman Measurements of Functional π-conjugate Systems

Published on: February 10, 2020

7.6K
Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy
15:04

Rejection of Fluorescence Background in Resonance and Spontaneous Raman Microspectroscopy

Published on: May 18, 2011

13.6K

Area of Science:

  • Spectroscopy
  • Materials Science
  • Physical Chemistry

Background:

  • Spectral linewidths are crucial for determining physical properties.
  • Overlapping spectral peaks introduce uncertainty in quantitative analysis.
  • Optimizing experimental conditions can minimize this uncertainty.

Purpose of the Study:

  • To investigate experimental factors influencing linewidth quantification uncertainty in Raman spectroscopy.
  • To compare the impact of spectral resolution, signal-to-noise ratio, and relative peak intensity (RPI) on linewidth accuracy.

Main Methods:

  • Acquisition of experimental Raman spectra from SiGe thin films.
  • Virtual simulation of Raman spectra under varied experimental conditions.
  • Analysis of the influence of spectral resolution, signal-to-noise, and RPI on linewidth measurements.

Main Results:

  • Relative peak intensity (RPI) was identified as the most critical parameter affecting linewidth quantification.
  • Spectral resolution and signal-to-noise ratio were found to be less impactful than RPI.
  • The findings highlight the trade-offs in experimental design for spectroscopic studies.

Conclusions:

  • Optimizing RPI is paramount for accurate spectroscopic linewidth determination.
  • The study provides guidance for experimental design in Raman and other spectroscopic techniques.
  • Understanding these factors enhances the reliability of quantitative spectral analysis.