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

Flame Photometry: Overview01:02

Flame Photometry: Overview

360
Flame photometry, also known as flame emission spectrometry, is a technique used for the qualitative and quantitative analysis of elements present in a sample using a flame as the source of excitation energy. The concept of flame photometry was realized in the early 1860s by Kirchhoff and Bunsen, who discovered that specific elements emit characteristic radiation when excited in flames. The first instrument developed for this purpose was used to measure sodium (Na) in plant ash using a Bunsen...
360
Calculation of Electric Flux01:25

Calculation of Electric Flux

1.7K
Consider the electric field of an oppositely charged, parallel-plate system and an imaginary box between those plates. Let the bottom face of the box be ABCD, and the top face be FGHK. The electric field between the plates is uniform and points from the positive plate toward the negative plate. The calculation of this field's flux through the box's various faces shows that the net flux through the box is zero. Why does the flux cancel out here?
1.7K
Flame Photometry: Lab01:16

Flame Photometry: Lab

180
In a flame photometer, when a solution like potassium chloride is aspirated into the flame, the solvent evaporates, leaving behind dehydrated salt. This salt dissociates into free gaseous atoms in their ground state. Some of these atoms absorb energy from the flame, leading to their excitation. The excited atoms return to the ground state, emitting photons at characteristic wavelengths. Because only electronic transitions are involved, the resulting emission lines are very narrow. The intensity...
180
Atomic Emission Spectroscopy: Overview01:20

Atomic Emission Spectroscopy: Overview

543
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...
543
Atomic Emission Spectroscopy: Interference01:30

Atomic Emission Spectroscopy: Interference

124
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,...
124
Magnetic Flux01:18

Magnetic Flux

3.4K
The magnetic flux measures the number of magnetic field lines passing through a given surface area. The SI unit for magnetic flux is the weber (Wb). Magnetic flux is a scalar quantity. It depends on three factors: the strength of the magnetic field B, the area through which the field lines pass, and the relative orientation of the field with the surface area.
Suppose a surface is divided into elements of area dA. For each element, the component of the magnetic field that is normal to the...
3.4K

You might also read

Related Articles

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

Sort by
Same author

SuryaBench: Benchmark Dataset for Advancing Machine Learning in Heliophysics and Space Weather Prediction.

Scientific data·2026
Same author

A multimodal tiered magnetic polarity inversion features dataset for space weather forecasting.

Data in brief·2026
Same author

Spatiotemporal event sequence discovery without thresholds.

GeoInformatica·2020
Same author

Multivariate time series dataset for space weather data analytics.

Scientific data·2020
Same author

The source and engine of coronal mass ejections.

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences·2019

Related Experiment Video

Updated: May 12, 2025

Method for Recording Broadband High Resolution Emission Spectra of Laboratory Lightning Arcs
07:51

Method for Recording Broadband High Resolution Emission Spectra of Laboratory Lightning Arcs

Published on: August 27, 2019

6.8K

Integration of solar flare and coronal mass ejection event data.

Anli Ji1, Manolis K Georgoulis2,3, Berkay Aydin1

  • 1Georgia State University, 25 Park Place NE, Atlanta, GA 30303, United States.

Data in Brief
|May 8, 2025
PubMed
Summary

This study introduces a new dataset and method to link solar flares with coronal mass ejections (CMEs), tracing them back to their origins. This helps understand space weather impacts on technology.

Keywords:
Solar flaresSpace weather forecastingSpatiotemporal data integration

More Related Videos

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells
00:10

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

Published on: August 20, 2019

13.7K
Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
09:55

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

8.6K

Related Experiment Videos

Last Updated: May 12, 2025

Method for Recording Broadband High Resolution Emission Spectra of Laboratory Lightning Arcs
07:51

Method for Recording Broadband High Resolution Emission Spectra of Laboratory Lightning Arcs

Published on: August 27, 2019

6.8K
X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells
00:10

X-ray Beam Induced Current Measurements for Multi-Modal X-ray Microscopy of Solar Cells

Published on: August 20, 2019

13.7K
Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
09:55

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data

Published on: December 12, 2013

8.6K

Area of Science:

  • Solar physics
  • Space weather research
  • Astrophysics

Background:

  • Solar flares and coronal mass ejections (CMEs) are significant solar events impacting Earth's environment.
  • Existing resources often lack direct connections between flares, CMEs, and their source active regions.
  • Accurate association is crucial for space weather prediction and understanding solar phenomena.

Purpose of the Study:

  • To present an integrated dataset and methodology for associating solar flares with CMEs.
  • To establish a data-driven approach for linking CMEs to their source active regions on the Sun.
  • To generate a high-utility solar eruption labeling schema for improved analysis.

Main Methods:

  • Developed a multi-step, data-driven spatiotemporal integration methodology.
  • Implemented a confidence-based scoring process using spatial and temporal data integration (LASCO CME data).
  • Utilized flare start/peak times, CME detection times, flare locations, CME principal angles, and widths for association.
  • Incorporated external association sources for a custom verification schema.

Main Results:

  • Successfully created an integrated solar-flare-to-CME association dataset.
  • Demonstrated a methodology for confidently linking CMEs to their solar sources.
  • The exploratory analysis showed a significant number of associations generated through the integration process.

Conclusions:

  • The developed dataset and methodology provide a robust way to connect CMEs to their source active regions.
  • This resource enhances our ability to study solar eruptions and their origins.
  • The findings contribute to a better understanding of space weather events and their potential impacts.