Module functions for assigning source and background systematic error estimates.
Integer_Type set_syserrors([Integer_Type,]Array_Type)
Integer_Type set_bsyserrors([Integer_Type,]Array_Type)
Success/Error Return Values: 1/0
Arguments:
(1) Dataset number (default 1)
(2) An array of source/background systematic error estimates
Note that if only one argument is provided, it is assumed to be an
array, and the dataset is assumed to be dataset 1.
The set_syserrors
and set_bsyserrors functions allow the user
to assign new source and background systematic error estimates
to Sherpa datasets.
Note that:
-
Systematic errors are added in quadrature to statistical errors
(error estimates that Sherpa makes automatically
using the current STATISTIC setting) to
yield overall error estimates in each bin.
-
The input array length must match the number of bins in the
filtered dataset;
consequently, if one's goal is to use these functions in data manipulation,
it is important not to change the
filter in Sherpa between any call to, e.g.,
get_syserrors and set_syserrors!
-
The input array is typecast to match the type of its associated
dataspace (see, e.g., set_axes for a
definition of dataspaces).
For instance, if dataset 3 is of Double_Type, then when
set_syserrors(3,<array>) is run, the array is typecast to
Double_Type if necessary.
See the related Sherpa commands
SYSERRORS
and
BSYSERRORS
for more information.
Assign systematic errors of one-tenth the data amplitude to each
data bin:
sherpa> DATA spec.dat
sherpa> d = get_data()
sherpa> d[*] = 0.1
sherpa> () = set_syserrors(,d)
In this example,
an array of the length of the filtered data is retrieved from
Sherpa, and all elements of the array are reset to
0.1 (the systematic error estimate). This new array
is then sent to Sherpa, where it overwrites
the old array of systematic error estimates.
- sherpa
-
berrors,
bsyserrors,
compute_errors,
compute_statistic,
covariance,
errors,
ftest,
get_paramest,
get_paramestint,
get_paramestlim,
get_paramestreg,
goodness,
interval-projection,
interval-uncertainty,
list_paramest,
mlr,
projection,
region-projection,
region-uncertainty,
restore_paramest,
run_paramest,
run_paramestint,
run_paramestlim,
run_paramestreg,
set_errors,
staterrors,
syserrors,
uncertainty
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