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Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

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Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for...
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Flame Photometry: Overview01:02

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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...
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Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

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Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
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Arrhenius Plots02:34

Arrhenius Plots

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The Arrhenius equation relates the activation energy and the rate constant, k, for chemical reactions. In the Arrhenius equation, k = Ae−Ea/RT, R is the ideal gas constant, which has a value of 8.314 J/mol·K, T is the temperature on the kelvin scale, Ea is the activation energy in J/mole, e is the constant 2.7183, and A is a constant called the frequency factor, which is related to the frequency of collisions and the orientation of the reacting molecules.
The Arrhenius equation can be used...
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UV–Vis Spectrum01:30

UV–Vis Spectrum

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When light passes through a substance, a portion of the light is absorbed while the remaining light is reflected or transmitted. If the molecule absorbs light between the wavelengths of 180–400 nm range, the UV spectrum is obtained, and if it absorbs light in the 400–780 nm wavelength range, the visible spectrum is obtained.     
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Time-Series Graph00:54

Time-Series Graph

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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Updated: Aug 9, 2025

Surface Mapping of Earth-like Exoplanets using Single Point Light Curves
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Characterizing the Solar Activity Using the Visibility Graph Method.

Tomás Zurita-Valencia1, Víctor Muñoz1

  • 1Departamento de Física, Facultad de Ciencias, Universidad de Chile, Las Palmeras 3425, Ñuñoa, Santiago 7800003, Chile.

Entropy (Basel, Switzerland)
|February 25, 2023
PubMed
Summary
This summary is machine-generated.

This study uses complex networks to analyze solar activity, finding that network metrics correlate with solar cycles. These findings offer a new method for monitoring the Sun's behavior and understanding solar cycles.

Keywords:
centralitycomplex networkscomplexitydecay exponentmagnetic fieldsolar activitysunspotstime series analysisvisibility graph

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Area of Science:

  • Solar physics
  • Complex systems analysis
  • Time series analysis

Background:

  • The Sun's behavior, including magnetic fields and sunspots, exhibits cyclical patterns.
  • Understanding solar activity is crucial for space weather prediction and astrophysical research.

Purpose of the Study:

  • To investigate the application of complex network theory to analyze solar activity.
  • To explore the relationship between solar cycles and network properties derived from time series data.

Main Methods:

  • Construction of complex networks using the Visibility Graph algorithm from solar magnetic field and sunspot time series data.
  • Calculation of various network metrics including degree, clustering coefficient, mean path length, betweenness centrality, and eigenvector centrality.
  • Analysis performed on both global (four solar cycles) and local (moving windows) time scales.

Main Results:

  • Several complex network metrics show correlation with solar activity levels.
  • Metrics identified as responsive to solar activity in the global analysis also demonstrated responsiveness in the local (moving window) analysis.
  • The study reveals distinct network behaviors across different phases of the solar cycle.

Conclusions:

  • Complex network analysis provides a valuable framework for studying and monitoring solar activity.
  • This approach can uncover novel insights into the dynamics of solar cycles.
  • The Visibility Graph method offers a robust way to represent and analyze solar time series data.