Calculating Poisson Uncertainties with Changing Observation Durations

In summary, The conversation discusses the process of plotting the flux from an Astrophysical source over time and the use of poisson statistics to calculate uncertainties in the measurements. However, due to variations in the observing times, there is uncertainty about how to modify the uncertainties to account for the different observation lengths. The post also highlights the different meanings and interpretations of "uncertainty" in the context of standard deviation.
  • #1
kop442000
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I am trying to plot the flux from an Astrophysical source as a function of time. Due to the nature of the source, I am only receiving a handful of photons in each time bin.

So imagine I had 10 observing periods of 10 days each, in which my telescope received the following number of photons:

10,9,7,12,5,7,8,7,5,10

Now if I wanted to get the uncertainties on these measurements, I know that I could use poisson statistics and have:

10±√10, 9±√9, 7±√7 etc.

So I think I am okay up to here. But I need to modify my numbers, because in the first 10 day observation, the instrument was looking at the source for slightly longer than the next 10 day period. In fact, the period that the telescope was looking at the source was slightly different in each 10 day bin.

So to correct for this, I simple divide the number of photons by the observing time, which gives me an average flux over the 10 day period:

10 photons divided by 93 minutes (say) cumulative observation time over the 10 days would give a flux of 0.11 photons / minute
9 divided by 71 minutes gives a flux of 0.13 photons / minute

and so on. So the flux for the second bin is bigger because the source was observed for a significantly shorter time period.

So I am eventually getting to my question:

Because of this added complication of different observing lengths, I'm now not entirely certain how I get my uncertainties. I am assuming I would use the poisson statistics again, but how do I modify them to fit in with my units and take into account the different observation lengths.

For example if I had two 10 day periods that had each registered 10 photons, but in one, the source was monitored for twice as long as the other, one would have twice the flux that the other has, but if I ignored the observation times, their uncertainly would just both be √10 (divided by their respective observation lengths). Is it just as simple as this??

Hope this is at least somewhat clear!

Thank you in advance of any help :-)
 
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  • #2


kop442000 said:
Because of this added complication of different observing lengths, I'm now not entirely certain how I get my uncertainties.

I think the lack of reponses to your post is due to an uncertainity about what you mean by "uncertainties". I've noticed that people in the physical sciences often use "uncertainty" to mean standard deviation. Another meaning of "uncertainty" has to do with the significant figures in a measurement. Another meaning of "uncertainty" is Shannon entropy. Some people use uncertainty to mean something like "confidence interval" and often mistakenly think that a "confidence interval" has the properties of a "credible interval".

I'll assume, for the time being that your "uncertainty" means "standard deviation". A "standard deviation" can be (at least) 3 different things. 1) The standard deviation of a random variable 2) The standard deviation of a sample 3) The estimator of the standard deviation of a distribution computed from a sample.

Each of those three things can be talked about in two ways. We can talk about them as random variables themselves - for example, we can talk about the distribution of the sample standard deviation. Or we can talk about them as a particular realization of a random variable - for example, we might say that the sample standard deviation is 38.2.
 

Related to Calculating Poisson Uncertainties with Changing Observation Durations

What is the Poisson uncertainty?

The Poisson uncertainty is a statistical measure of the uncertainty or variability associated with counting events or occurrences. It is used to estimate the error or uncertainty in the observed number of events when the true underlying rate is unknown.

How do you calculate Poisson uncertainties?

To calculate Poisson uncertainties, you need to know the observed number of events and the expected number of events. The Poisson uncertainty is then calculated using the formula: √(N), where N is the expected number of events.

What is the significance of changing observation durations in calculating Poisson uncertainties?

Changing observation durations can significantly affect the calculated Poisson uncertainties. This is because the expected number of events is directly proportional to the observation duration. As the observation duration increases, the expected number of events also increases, resulting in a smaller Poisson uncertainty.

How do you account for changing observation durations in calculating Poisson uncertainties?

To account for changing observation durations in calculating Poisson uncertainties, you can use the formula: √(N * t), where N is the expected number of events and t is the observation duration. This formula takes into account the changing observation duration and provides a more accurate estimation of the Poisson uncertainty.

What are some common applications of calculating Poisson uncertainties with changing observation durations?

Calculating Poisson uncertainties with changing observation durations is commonly used in various fields such as physics, biology, and economics. It is used to estimate the uncertainty in the number of radioactive decays, the number of mutations in a DNA sequence, and the number of sales or traffic accidents in a given time period, among others.

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