A How to simulate an isotope shift measurement

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The discussion focuses on simulating isotope shift measurements to determine the necessary uncertainty in transition frequencies for sensitivity to new physics parameters. The approach involves generating data based on known masses and charge radii, allowing for error propagation to estimate the uncertainty on the new physics parameter, α_NP. It is suggested that instead of a simulation, calculating the derivatives of α_NP with respect to the transition frequencies could suffice for error propagation. Additionally, a Monte Carlo method is proposed for greater accuracy, where measurement noise is introduced to both transition frequencies to analyze the resulting scatter in α_NP values. This method aims to establish the relationship between uncertainties and the desired sensitivity to new physics.
Malamala
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Hello! My questions are based on this paper talking about King plot non-linearities. Assuming I have 3 isotopes and 2 transitions, I would like to know how well I should measure the transitions (i.e. what uncertainty on the transition value) in order to reach a given sensitivity for the new physics parameter. What I am thinking of doing is to generate data using equation 5 (i.e. without any new physics, assuming I know the masses and changes in charge radii), which of course if I plug in equation 9 will give me ##\alpha_{NP} = 0##. However, even if ##\alpha_{NP} = 0##, I can still use the error propagation mentioned below equation 9 to get the error on ##\alpha_{NP}##. So basically I will get ##\alpha_{NP} = 0 \pm d\alpha_{NP}## and from here I can set an upper bound on ##\alpha_{NP} < d\alpha_{NP}## at 1 sigma level. And based on the value of ##d\alpha_{NP}## I am aiming for, I can get the needed uncertainty on the transitions frequencies. However, in practice, ##\alpha_{NP}## won't be zero. It will be smaller than ##d\alpha_{NP}##, but not zero and the upper limit will be ##\alpha_{NP} + d\alpha_{NP}##, which in principle can be up to 2 times bigger than ##d\alpha_{NP}## alone. Given that I know what upper bound I aim for, how can I get the needed uncertainty on the transitions in this general case? Thank you!
 
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It's not clear to me why you will need a simulation to do this calculation. If you assume a non-zero value of ##\alpha_{NP}##, don't you just need to calculate the derivatives of ##\frac{\partial \alpha_{NP}}{\partial \nu_i}## for ##i = 1,2## being the two transition frequencies, and perform standard propagation of error?

Alternatively, for more accuracy, just run a simple monte carlo. Some algebra will let you derive an expression like ##\nu_2 = f(\nu_1,\alpha_{NP})## by solving the equation for ##\alpha_{NP}## for ##\nu_2##. Then introduce some measurement noise by adding uncorrelated random numbers to both ##\nu_1## and ##\nu_2##, with equal variance (assuming you measure both transitions with equal uncertainty). Then just find the scatter on your observed values of ##\alpha_{NP}##. Was that clear?
 
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