# SrFit objects can be examined by calling their show() function. SrFit # parses the model equation and finds two parameters A, B at independent # variable x. The values of parameters A, B are at this stage undefined. large_gaussian.show() small_gaussian.show() # <demo> --- stop --- # We can set A and B to some specific values and calculate model # observations. The x and y attributes of the FitContribution are # the observed values, which may be re-sampled or truncated to a shorter # fitting range. large_gaussian.lgA = 25000 large_gaussian.lgx0 = 40 large_gaussian.lgsig = 20 small_gaussian.sgA = 500 small_gaussian.sgx0 = 71 small_gaussian.sgsig = 3 print(large_gaussian.lgA, large_gaussian.lgA.value) print(large_gaussian.lgx0, large_gaussian.lgx0.value) print(large_gaussian.lgsig, large_gaussian.lgsig.value) print(small_gaussian.sgA, small_gaussian.sgA.value) print(small_gaussian.sgx0, small_gaussian.sgx0.value) print(small_gaussian.sgsig, small_gaussian.sgsig.value) # <demo> --- stop ---
