Understanding Intrinsic Sensor Error

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Intrinsic sensor error is defined as the error inherent to the measurement method, which can be influenced by factors such as sampling intervals rather than just hardware limitations. It differs from random error, which affects individual readings, and systematic error, which skews all readings uniformly. In the context of sensors, intrinsic error primarily refers to the inherent noise within the detector, including thermal noise, shot noise, and dark counts. This intrinsic noise is separate from the noise present in the signal being measured. Understanding these distinctions is crucial for accurately estimating and mitigating intrinsic sensor errors.
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How intrinsic error in a sensor is defined and how it can be estimated? I hv read somewhere that it is hardware dependent but some detail is required. Please help!
 
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I would say it is error resulting from the measurement method.
This is not necessarily due to hardware, imagine you sample a patch of ground looking for a mineral but you only measure a smaple every 10m, then the intrinsics error would be due to the sampling interval.
This is different from random error - noise on individual readings, or systamatic error - where all the readings are wrong in the same way due to the same effect.
 
In terms of a sensor or a detector, I would venture that the intrinsic error is the intrinsic noise in the detector - For a light detector this might be thermal noise, shot noise, dark counts etc, and to be differentiated from noise in the signal you are trying to detect.

In other words, the intrinsic noise is the noise you add after detection has taken place. The total noise is then the noise in the signal you are trying to measure plus the intrinsic noise of the detector.

Claude.
 

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