Judgement and Reduction of the System Error in Physics Experiment
Lin Hon
Abstract
Lin Hon
Abstract
Measurement error can be divided into system error, random error and gross error according to the cause and manifestation. The discovery and processing of system error is much more complicated than the other two errors. This paper introduces the scientific judgement of system error, and combined with the practice, concludes some methods to limit and reduce system error, to make the experiment data more scientific and more close to the true value.
A significance statement is not available in the OpenAlex record.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
Measurement error can be divided into system error, random error and gross error according to the cause and manifestation. The discovery and processing of system error is much more complicated than the other two errors. This paper introduces the scientific judgement of system error, and combined with the practice, concludes some methods to limit and reduce system error, to make the experiment data more scientific and more close to the true value.
Key concepts: Judgement, Random error, Reduction (mathematics), Value (mathematics), Error detection and correction, Computer science, Error analysis, Limit (mathematics)