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Diffstat (limited to 'reproduce/config/pipeline/filters.mk')
| -rw-r--r-- | reproduce/config/pipeline/filters.mk | 25 |
1 files changed, 0 insertions, 25 deletions
diff --git a/reproduce/config/pipeline/filters.mk b/reproduce/config/pipeline/filters.mk deleted file mode 100644 index 6fa785d..0000000 --- a/reproduce/config/pipeline/filters.mk +++ /dev/null @@ -1,25 +0,0 @@ -# `filters' are the possible different parts of the survey, for -# example filters in broad or narrow-band astronomical imaging -# datasets. Since a generic term for them (to apply other types of -# surveys/datasets) hasn't been considered yet, we'll stick with the -# `filters' name. But feel free to correct it (or propose a -# suggestion). -# -# If your dataset only has a single filter, or this concept is not -# defined for your type of input dataset, you can ignore this -# variable. -# -# The values can be any string to identify different parts of a survey -# separated by white space characters (for example `f125w f160w' or `J -# H' if you want to specify two filters). -# -# To be clean and also help in readability of the pipeline, it is good -# practice to define a separate `filter-XXXX' variable for each -# survey/dataset, even if they have overlapping filters. -# -# These `filters' are used in the initial downloading of the data and -# it is good practice (for avoiding bugs) to keep the same filter (and -# survey) names in the filenames of the intermediate/output files -# also. This will make sure that the raw input and intermediate/final -# output are exactly related. -filters-survey = a b c d e f g h i |