Signal to noise ratio and uncertainty in magnitude

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SUMMARY

The discussion focuses on calculating the uncertainty in observed magnitude due to signal and noise in stellar flux measurements. The formula derived is σm = 1.0875 x σf / f, where σf represents the noise and f the signal. Participants emphasize the importance of using the approximation log(1±ε) ≈ ε/ln10 when ε is much smaller than 1. The forum also explores the propagation of uncertainty through the equations involving signal and noise.

PREREQUISITES
  • Understanding of stellar flux measurements
  • Familiarity with the concept of signal-to-noise ratio
  • Knowledge of logarithmic approximations in mathematics
  • Basic principles of uncertainty propagation
NEXT STEPS
  • Study the derivation of the signal-to-noise ratio in astrophysical contexts
  • Learn about uncertainty propagation techniques in measurements
  • Explore the application of logarithmic approximations in scientific calculations
  • Investigate advanced statistical methods for analyzing astronomical data
USEFUL FOR

Astronomers, astrophysicists, and students involved in stellar measurements or anyone interested in understanding the impact of noise on observational data accuracy.

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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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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?
 
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:

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