Signal to noise ratio and uncertainty in magnitude

In summary, the conversation discusses the problem of calculating the uncertainty on the observed magnitude for a stellar flux measurement, given a signal f and noise σf. The formula for calculating the uncertainty is shown to be σm = 1.0875 x σf / f, using the fact that log(1±ε) ≈ ε/ln10 when ε<<1. The conversation also mentions using the formula for uncertainty, √((δσf/σf)2 + (δf/f)2), to calculate the uncertainty.
  • #1
CGM
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Poster has been reminded that they need to show their work
1. The problem statement, all variables and given/known dat
Show that if you have a signal f and noise σf for a stellar flux measurement, then the uncertainty on the observed magnitude is given by
σm = 1.0875 x σf / f

Homework Equations


(you should use the fact that when ε<<1 then log(1±ε) ≈ ε/ln10 ).

The Attempt at a Solution

 
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  • #2
You should show some attempt at the problem in this forum.
Start with: let signal + noise be ##f + \sigma_f = f(1 + \frac{\sigma_f}{f} )##
Do you know how to calculate the uncertainty?
 
  • #3
RUber said:
You should show some attempt at the problem in this forum.
Start with: let signal + noise be ##f + \sigma_f = f(1 + \frac{\sigma_f}{f} )##
Do you know how to calculate the uncertainty?
Uncertainty in (1 + σf/f) = √((δσff)2 + (δf/f)2)
?
or uncertainty in f + σf =√(δσf)2 + (δf)2
 
Last edited:

1. What is the significance of signal to noise ratio in scientific measurements?

The signal to noise ratio (SNR) is a measure of the quality of a signal compared to the amount of background noise present. In scientific measurements, a high SNR indicates a strong and reliable signal, while a low SNR can lead to uncertainty and inaccuracies in the data.

2. How is SNR calculated?

SNR is calculated by dividing the amplitude of the signal by the standard deviation of the noise. This provides a numerical value that represents the strength of the signal relative to the amount of noise present.

3. What factors can affect the SNR in scientific measurements?

Several factors can affect SNR, including the sensitivity of the measuring instrument, the strength of the signal being measured, and the amount of background noise present. Additionally, external factors such as interference or environmental conditions can also impact SNR.

4. How does uncertainty in magnitude relate to SNR?

Uncertainty in magnitude is a measure of the potential error or variation in a measured value. A higher SNR typically results in lower uncertainty, as a stronger signal and lower noise leads to more precise and accurate measurements.

5. How can scientists improve SNR and reduce uncertainty in magnitude?

To improve SNR and reduce uncertainty, scientists can use higher quality instruments with better sensitivity, increase the strength of the signal being measured, and minimize background noise through proper shielding and elimination of external interference. Additionally, taking multiple measurements and averaging the results can also improve SNR and reduce uncertainty.

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