Ticket #7238: ReduceMandi306.config

# Configuration file for ReduceOneSCD_Run.py and ReduceSCD_Parallel.py.
#
# Each line can either start with a comment, indicated by a '#' mark or start
# with a parameter name and value, optionally followed by a comment.  ALL 
# parameters used by the script must be specified.  If a required parameter 
# is not specified, the script will terminate with a message indicating which 
# parameter was missing.
#

# ==========================================================================
# Parameters needed by ReduceOneSCD_Run.py, to process ONE run.
# ==========================================================================
#
instrument_name   MANDI                        # prefix for run file names

#
# Specify calibration file(s).  SNAP requires two calibration files, one
# for each bank.  If the default detector position is to be used, specify
# None as the calibration file name.
#
calibration_file_1  None
calibration_file_2  None

#
# Set the data_directory to None to use findnexus to get the run file when
# running this on the SNS systems.  On other systems, all of the input files
# must be copied into one directory and that directory must be specified as
# the data_directory
#
data_directory    None
output_directory  /SNS/users/eu7/SCRIPT_TEST/ 

#
# Min & max tof determine the range of events loaded. 
# Max Q determines the range of Q values that will be mapped to 
# reciprocal space.
# Min & max monitor tof determine the range of tofs integrated in the 
# monitor data to get the total monitor counts
#
min_tof          14738.6
max_tof          31406.5
max_Q            4 

monitor_index        0
min_monitor_tof  16000
max_monitor_tof  30000

#
# Specifiy a conventional cell type and centering.  If these are None, only
# one .mat and .integrate file will be written for this run, and they will
# be in terms of the Niggli reduced cell.  If these specifiy a valid
# cell type and centering, an additional .mat and .integrate file will be
# written for the specified cell_type and centering.  NOTE: If run in
# parallel, the driving script will only read the Niggli version of the
# .integrate file, and will combine, re-index and convert to a conventional
# cell, so these can usually be left as None.
#
cell_type     Hexagonal 
centering     P

#
# Number of peaks to find, per run, both for getting the UB matrix,
# AND to determine how many peaks are integrated, if peak positions are
# NOT predicted.  NOTE: This number must be choosen carefully.  If too
# many peaks are requested, find peaks will take a very long time and
# the returned peaks will probably not even index, since most of them
# will be "noise" peaks.  If too few are requested, then there will be
# few peaks to be integrated, and the UB matrix may not be as accurate 
# as it should be for predicting peaks to integrate.
#
num_peaks_to_find  450

#
# min_d, max_d and tolerance control indexing peaks.  max_d is also 
# used to specify a threshold for the separation between peaks
# returned by FindPeaksMD, so it should be specified somewhat larger
# than the largest cell edge in the Niggli reduced cell for the 
# sample.
#
min_d        50 
max_d        120 
tolerance  0.12

#
# If predicted peak positions are to be integrated, 
# the integrate_predicted_peaks flag should be set to True and the range 
# of wavelengths and d-spacings must be specified
#
integrate_predicted_peaks   False 
min_pred_wl                 0.2
max_pred_wl                 3.5
min_pred_dspacing           0.2
max_pred_dspacing           2.5

#
# Select only ONE of the following integration methods, by setting the
# use_*****_integration flag True.
#
use_sphere_integration      True 
use_ellipse_integration     False
use_fit_peaks_integration   False

#
# Specify sphere and ellipse integration control parameters. Check that these
# are correct, if use_sphere_integration, or use_ellipse_integration is True.
# Otherwise the values aren't used.
#
peak_radius             0.08       # for sphere integration only
bkg_inner_radius        0.08       # for sphere or ellipse integration
bkg_outer_radius        0.11       # for sphere or ellipse integration
integrate_if_edge_peak  True       # for sphere integration only

# 
# Specify ellispe integration control parameters
#
ellipse_region_radius   0.45 
ellipse_size_specified  False 

#
# Specify fit peaks integration control parameters.  Check that these are
# correct, if use_fit_peaks_integration = True.  Otherwise the values 
# aren't used.
#
rebin_step            -0.004
preserve_events       True
use_ikeda_carpenter   False 
n_bad_edge_pixels      10

# ==========================================================================
# Additional Parameters needed by ReduceSCD_Parallel.py, to process
# multiple runs in parallel.
# ==========================================================================
#
exp_name               SAPPHIRE_JUNE_SPHERE               
reduce_one_run_script  ReduceOneSCD_Run.py

#
# Specify the run numbers that should be reduced.  This can be done on several
# lines.  Each line must start with the parameter name run_nums and be followed
# by a comma separated list of individual run numbers or ranges of run numbers.
# A range of run numbers is specified by listing the first number and last
# number in the range, separated by a colon.
#
run_nums  5637:5644

#
# Specify the slurm partion, or None to use local processes.  The parameter
# max_processes controls the maximum number of processes that will be run 
# simultaneously locally, or that will be simultaneously submitted to slurm.
# The value of max_processes should be choosen carefully with the size of the
# system in mind, to avoid overloading the system.  Since the lower level 
# calculations are all multi-threaded, this should be substantially lower than
# the total number of cores available.
# All runs will be processed eventually.  If there are more runs than then
# max_processes, as some processes finish, new ones will be started, until
# all runs have been processed.
#
#slurm_queue_name    topazq 
slurm_queue_name    None 
max_processes       8