12 Calibration of KLM channel status. It provides calibration constants for the KLMChannelStatus
19 from caf.utils
import ExpRun, IoV
20 from prompt
import CalibrationSettings, INPUT_DATA_FILTERS
32 settings = CalibrationSettings(
33 name=
'KLM channel status',
34 expert_username=
'zhai',
36 input_data_formats=[
'raw'],
37 input_data_names=[
'raw_beam',
'raw_cosmic',
'raw_physics'],
39 'raw_beam': [INPUT_DATA_FILTERS[
'Run Type'][
'beam'],
40 INPUT_DATA_FILTERS[
'Data Quality Tag'][
'Good Or Recoverable']],
41 'raw_cosmic': [INPUT_DATA_FILTERS[
'Run Type'][
'cosmic'],
42 INPUT_DATA_FILTERS[
'Data Quality Tag'][
'Good Or Recoverable']],
43 'raw_physics': [INPUT_DATA_FILTERS[
'Run Type'][
'physics'],
44 f
"NOT {INPUT_DATA_FILTERS['Data Tag']['random_calib']}",
45 INPUT_DATA_FILTERS[
'Data Tag'][
'bhabha_all_calib'],
46 INPUT_DATA_FILTERS[
'Data Tag'][
'gamma_gamma_calib'],
47 INPUT_DATA_FILTERS[
'Data Tag'][
'hadron_calib'],
48 INPUT_DATA_FILTERS[
'Data Tag'][
'mumutight_calib'],
49 INPUT_DATA_FILTERS[
'Data Tag'][
'radmumu_calib'],
50 INPUT_DATA_FILTERS[
'Data Quality Tag'][
'Good Or Recoverable']]
57 def select_input_files(file_to_iov):
60 files_to_iov (dict): Dictionary {run : IOV}.
61 reduced_file_to_iov (dict): Selected data.
63 run_to_files = collections.defaultdict(list)
64 for input_file, file_iov
in file_to_iov.items():
65 run = ExpRun(exp=file_iov.exp_low, run=file_iov.run_low)
67 if events_in_basf2_file(input_file) > 0:
68 run_to_files[run].append(input_file)
69 reduced_file_to_iov = collections.OrderedDict()
70 for run, files
in run_to_files.items():
71 for input_file
in files:
72 reduced_file_to_iov[input_file] = IoV(*run, *run)
73 return reduced_file_to_iov
86 def get_calibrations(input_data, **kwargs):
89 input_data (dict): Should contain every name from the 'input_data_names' variable as a key.
90 Each value is a dictionary with {"/path/to/file_e1_r5.root": IoV(1,5,1,5), ...}. Useful for
91 assigning to calibration.files_to_iov
93 **kwargs: Configuration options to be sent in. Since this may change we use kwargs as a way to help prevent
94 backwards compatibility problems. But you could use the correct arguments in b2caf-prompt-run for this
95 release explicitly if you want to.
97 Currently only kwargs["requested_iov"] is used. This is the output IoV range that your payloads should
98 correspond to. Generally your highest ExpRun payload should be open ended e.g. IoV(3,4,-1,-1)
101 list(caf.framework.Calibration): All of the calibration objects we want to assign to the CAF process
107 file_to_iov_raw_beam = input_data[
'raw_beam']
108 file_to_iov_raw_cosmic = input_data[
'raw_cosmic']
109 file_to_iov_raw_physics = input_data[
'raw_physics']
112 reduced_file_to_iov_raw_beam = select_input_files(file_to_iov_raw_beam)
113 reduced_file_to_iov_raw_cosmic = select_input_files(file_to_iov_raw_cosmic)
114 reduced_file_to_iov_raw_physics = select_input_files(file_to_iov_raw_physics)
117 input_files_raw = list(reduced_file_to_iov_raw_beam.keys())
118 input_files_raw.extend(list(reduced_file_to_iov_raw_cosmic.keys()))
119 input_files_raw.extend(list(reduced_file_to_iov_raw_physics.keys()))
120 input_files_raw.sort()
121 basf2.B2INFO(f
'Total number of raw-data files used as input = {len(input_files_raw)}')
123 if not input_files_raw:
124 raise Exception(
'No valid input files found!')
128 requested_iov = kwargs[
'requested_iov']
130 from caf.utils
import IoV
132 output_iov = IoV(requested_iov.exp_low, requested_iov.run_low, -1, -1)
137 from ROOT.Belle2
import KLMChannelStatusAlgorithm
139 alg = KLMChannelStatusAlgorithm()
144 from caf.framework
import Calibration, Collection
151 from klm_calibration_utils
import get_channel_status_pre_collector_path
154 coll_raw = get_collector(
'raw')
155 rec_path_raw = get_channel_status_pre_collector_path()
157 collection_raw =
Collection(collector=coll_raw,
158 input_files=input_files_raw,
159 pre_collector_path=rec_path_raw)
161 cal_klm.add_collection(name=
'raw', collection=collection_raw)
166 cal_klm.algorithms = [alg]
168 from klm_channel_status
import KLMChannelStatus
170 for algorithm
in cal_klm.algorithms:
171 algorithm.strategy = KLMChannelStatus
172 algorithm.params = {
'iov_coverage': output_iov}
180 def get_collector(input_data_name):
182 Return the correct KLMChannelStatusCollector module setup for each data type.
183 Placed here so it can be different for prompt compared to standard.
186 if input_data_name ==
'raw':
187 return basf2.register_module(
'KLMChannelStatusCollector')
188 raise Exception(
"Unknown input data name used when setting up collector")