burstfit.utils.math

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f_test

def f_test(x, y)

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F-Test

Arguments:

• x - Input array 1
• y - Input array 2

Returns:

tests

def tests(off_pulse, on_pulse_res, pth=0.05, ntest=1)

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Run statistical tests to compare the two inputs

Arguments:

• off_pulse - input array to compare
• on_pulse_res - input array to compare
• pth - threshold on p value to consider the distributions similar
• ntest - minimum number of tests to pass

Returns:

fmae

def fmae(param, m, a, param_err=0, m_err=0, a_err=0)

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Arguments:

• param - parameter value
• m - number to multiply to param
• a - number to add
• param_err - error on the fitted parameter
• m_err - error on multiplier
• a_err - error on adder

Returns:

transform_parameters

def transform_parameters(params, mapping, param_names)

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Transform parameters and their errors using mapping

Arguments:

• params - dictionary with parameter values and errors in "popt" and "perr"
• mapping - mapping for all parameters
• param_names - names of parameters to be used to identify the correct mapping

Returns: