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The grid of values can be built around any parameter by
explicitly giving the center point of the grid (in response to the
model descriptor prompt).
If the model descriptor provides only fixed values (as in the
example below), the search for the true minimum will
start from the grid
, and the parameters
can vary within `best-fit-parameter
', where
is
the user input to define the range of the
grid (half range of
first axis parameter).
input file: rp90_obs.tab
output file: rp90_b_grd.tab
xs> search_grid Performing a grid search. observed spectrum [root_obs.tab]: rp90 model descriptor: ray(0.3 c 100)+ray(0.67 1.26 c 100) root name for output file [root_grd.tab]: rp90_b The chisquare grid will be built around the following model parameters:
These are listed on the screen.
Please choose the grid axes:
model componet number for the first axis (1): <cr> first axis parameter (norm|index|temp|galacticNh|intrinsicNh): temp half range of first axis parameter (0.4): 0.25 number of steps in the first axis (1:) (7): 5 model component number for the second axis (1): 2 second axis parameter (norm|index|temp|galacticNh|intrinsicNh): temp half range of second axis parameter (0.2): 0.5 number of steps in the second axis (1:) (7): 5 Best grid fit found at grid point: 3 3 First parameter value = 3.000E-1 Second parameter value = 1.260E0 Chi-square = 48.181
Final fit model, best fit parameters, will be
listed on screen.