# gauss_dx.dat # This file is identical to gauss.dat, except that a column has been # added with a tiny energy uncertainty (dE). This file can be used to # confirm that a program that takes x errors into consideration gives # the same result as a normal least squares fit in the limit of small # x uncertainties # # E dE Count Uncertainty 1171 0.001 11 3.31662479 1171.05 0.001 6 2.449489743 1171.1 0.001 16 4 1171.15 0.001 11 3.31662479 1171.2 0.001 8 2.828427125 1171.25 0.001 10 3.16227766 1171.3 0.001 14 3.741657387 1171.35 0.001 11 3.31662479 1171.4 0.001 9 3 1171.45 0.001 11 3.31662479 1171.5 0.001 13 3.605551275 1171.55 0.001 12 3.464101615 1171.6 0.001 11 3.31662479 1171.65 0.001 10 3.16227766 1171.7 0.001 10 3.16227766 1171.75 0.001 11 3.31662479 1171.8 0.001 14 3.741657387 1171.85 0.001 6 2.449489743 1171.9 0.001 5 2.236067977 1171.95 0.001 11 3.31662479 1172 0.001 14 3.741657387 1172.05 0.001 9 3 1172.1 0.001 6 2.449489743 1172.15 0.001 13 3.605551275 1172.2 0.001 12 3.464101615 1172.25 0.001 11 3.31662479 1172.3 0.001 8 2.828427125 1172.35 0.001 3 1.732050808 1172.4 0.001 9 3 1172.45 0.001 12 3.464101615 1172.5 0.001 17 4.123105626 1172.55 0.001 9 3 1172.6 0.001 12 3.464101615 1172.65 0.001 18 4.242640687 1172.7 0.001 26 5.099019514 1172.75 0.001 38 6.164414003 1172.8 0.001 55 7.416198487 1172.85 0.001 80 8.94427191 1172.9 0.001 105 10.24695077 1172.95 0.001 197 14.03566885 1173 0.001 217 14.73091986 1173.05 0.001 302 17.3781472 1173.1 0.001 361 19 1173.15 0.001 417 20.42057786 1173.2 0.001 485 22.02271555 1173.25 0.001 502 22.4053565 1173.3 0.001 446 21.11871208 1173.35 0.001 415 20.37154879 1173.4 0.001 333 18.24828759 1173.45 0.001 247 15.71623365 1173.5 0.001 209 14.45683229 1173.55 0.001 158 12.56980509 1173.6 0.001 100 10 1173.65 0.001 62 7.874007874 1173.7 0.001 36 6 1173.75 0.001 38 6.164414003 1173.8 0.001 14 3.741657387 1173.85 0.001 11 3.31662479 1173.9 0.001 11 3.31662479 1173.95 0.001 10 3.16227766 1174 0.001 13 3.605551275 1174.05 0.001 15 3.872983346 1174.1 0.001 12 3.464101615 1174.15 0.001 8 2.828427125 1174.2 0.001 9 3 1174.25 0.001 8 2.828427125 1174.3 0.001 10 3.16227766 1174.35 0.001 7 2.645751311 1174.4 0.001 12 3.464101615 1174.45 0.001 6 2.449489743 1174.5 0.001 11 3.31662479 1174.55 0.001 6 2.449489743 1174.6 0.001 13 3.605551275 1174.65 0.001 15 3.872983346 1174.7 0.001 16 4 1174.75 0.001 13 3.605551275 1174.8 0.001 11 3.31662479 1174.85 0.001 8 2.828427125 1174.9 0.001 9 3 1174.95 0.001 12 3.464101615 1175 0.001 3 1.732050808 1175.05 0.001 8 2.828427125 1175.1 0.001 12 3.464101615 1175.15 0.001 4 2 1175.2 0.001 5 2.236067977 1175.25 0.001 11 3.31662479 1175.3 0.001 12 3.464101615 1175.35 0.001 7 2.645751311 1175.4 0.001 11 3.31662479 1175.45 0.001 9 3 1175.5 0.001 12 3.464101615 1175.55 0.001 14 3.741657387 1175.6 0.001 12 3.464101615 1175.65 0.001 10 3.16227766 1175.7 0.001 10 3.16227766 1175.75 0.001 6 2.449489743 1175.8 0.001 9 3 1175.85 0.001 7 2.645751311 1175.9 0.001 13 3.605551275 1175.95 0.001 10 3.16227766