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Related Concept Videos

Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

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Sampling materials are classified into three main types: solid, liquid, and gas.
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Transportation of samples from the collection point to the laboratory, as well as storage and preservation techniques, are crucial for maintaining sample integrity and ensuring accurate and reliable test results.
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Sampling Theorem01:15

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In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
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Bandpass Sampling01:17

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In signal processing, bandpass sampling is an effective technique for sampling signals that have most of their energy concentrated within a narrow frequency band. This type of signal is known as a bandpass signal. The key principle of bandpass sampling involves sampling the signal at a rate that is greater than twice the signal's bandwidth to prevent aliasing.
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Sampling Distribution01:12

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Given simple random samples of size n from a given population with a measured characteristic such as mean, proportion, or standard deviation for each sample, the probability distribution of all the measured characteristics is called a sampling distribution. How much the statistic varies from one sample to another is known as the sampling variability of a statistic. You typically measure the sampling variability of a statistic by its standard error. The standard error of the mean is an example...
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A simple vibrating sample magnetometer for macroscopic samples.

V Lopez-Dominguez1, A Quesada1, J C Guzmán-Mínguez1

  • 1Instituto de Cerámica y Vidrio-Consejo Superior de Investigaciones Científicas, Madrid, Spain.

The Review of Scientific Instruments
|April 2, 2018
PubMed
Summary
This summary is machine-generated.

Researchers developed a simple vibrating sample magnetometer (VSM) for measuring macroscopic samples. This cost-effective device achieves high resolution, demonstrating reliable performance comparable to commercial VSM systems.

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Area of Science:

  • Materials Science
  • Physics
  • Instrumentation

Background:

  • Vibrating Sample Magnetometers (VSMs) are crucial for characterizing magnetic properties of materials.
  • Commercial VSMs can be expensive and complex, limiting accessibility for some research settings.

Purpose of the Study:

  • To present a simple, cost-effective model of a vibrating sample magnetometer (VSM).
  • To demonstrate its capability for measuring magnetization curves of macroscopic samples at room temperature.
  • To validate the reliability and performance of the developed VSM against a commercial instrument.

Main Methods:

  • Construction of a simplified VSM system using readily available components.
  • Measurement of magnetization curves for macroscopic samples at room temperature.
  • Comparison of data obtained from the custom VSM with measurements from a standard commercial VSM.

Main Results:

  • The developed VSM achieves a resolution of approximately 0.01 emu.
  • The system is adaptable to various sample requirements (mass, saturation magnetization, saturation field).
  • Experimental data from the custom VSM closely matches data from a commercial VSM, confirming its accuracy.

Conclusions:

  • A functional and reliable vibrating sample magnetometer can be constructed with a simplified design.
  • This model offers a cost-effective alternative for researchers needing to measure magnetic properties of macroscopic samples.
  • The device's performance validates its utility in materials characterization and magnetic research.