A python package specific to my [https://github.com/elliot-hughes/fatjet_analysis](fatjet analysis).
- Download the package with
git clone [email protected]:elliot-hughes/decortication.git
.
Dataset information is stored in resources/samples.yaml
. The format is a dictionary of dictionaries. The outer dictionary is keyed by the dataset category; the inner dictionary is keyed by the dataset process and has a list of dictionaries corresponding to each unique subprocesses. These subprocess dictionaries are called samples and each contain a list of corresponding miniaod dictionaries. The keys of these sample and miniaod dictionaries are defined in resources/database.yaml
.
Shared by samples and miniaods:
category
: A tag indicating the general sort of dataset (e.g., jetht)process
: A tag describing the specific dataset. This key is not unique, since multiple samples may be part of the same dataset.subprocess
: A tag describing the particular sample. If not specified, the subprocess is the same as the process. (unique)name
: The official dataset name (unique)data
: A binary flag for whether the dataset is data (1
) or MC (0
)- [...]
m
,pts
,hts
(parameterx
): Identies parameters of the subprocesssigma
: The cross section of the subprocess- [...]
generation
: The MiniAOD generation (e.g.,spring15
)n
: The number of events in the MiniAOD files- [...]