Filter_by_time_stamp_ZYP.py
· 4.8 KiB · Python
原始文件
#
# Filter_by_time_stamp_ZYP.py
#
# ---------------------------------------------------------------------------
# Script for filtering events based on time stamp
# ---------------------------------------------------------------------------
#
# ----------------------------
# Yuanpeng Zhang @ Nov-10-2024
# ----------------------------
#
from mantid.simpleapi import *
###############################################################################
# ------------------------------ Input section --------------------------------
###############################################################################
# Inputs for runs information.
title = 'output_th'
IPTS = 32368
run = 1532451
background = None
BackgroundScale = 1
vanadium = 1530874 # Run number or `None`
vanadium_IPTS = 23858
out_dir = "/SNS/users/y8z/Temp"
# Inputs for runs control.
normaliseBy = 'Monitor' # One on (None, Monitor, Time)
units = 'Theta' # One of (Theta, ElasticQ, ElasticDSpacing)
Binning = '5,125,1200' # Min,Max,Number_of_bins
log_binning = False
# Inputs for time stamp for filtering
# 'time_interval = 100' here means all data falling in between the start
# and stop time will be filtered into a single dataset.
start_time = '2024-10-23T03:44:06'
stop_time = '2024-10-23T03:52:26'
time_interval = '100'
unit_of_time = 'Percent'
time_tolerance = 0
###############################################################################
# ---------------------------- Execution section ------------------------------
###############################################################################
# Load vandium if not already loaded.
vanadium_ws = 'HB2C_{}'.format(vanadium)
if vanadium_ws not in mtd:
LoadWAND(IPTS=vanadium_IPTS,
RunNumbers=vanadium,
OutputWorkspace=vanadium_ws)
# Load background if needed and if not already loaded.
if background is not None:
background_ws = 'HB2C_{}'.format(background)
if background_ws not in mtd:
LoadEventNexus(
Filename='/HFIR/HB2C/IPTS-{}/nexus/HB2C_{}.nxs.h5'.format(
IPTS, background
),
OutputWorkspace=background_ws,
LoadMonitors=True
)
else:
background_ws = None
# Load data if not already loaded
ws = 'HB2C_{}'.format(run)
if ws not in mtd:
LoadEventNexus(
Filename='/HFIR/HB2C/IPTS-{}/nexus/HB2C_{}.nxs.h5'.format(IPTS, run),
OutputWorkspace=ws,
LoadMonitors=True)
# Mask detectors to be the same as vanadium
MaskDetectors(ws, MaskedWorkspace=vanadium_ws)
# Filter events
GenerateEventsFilter(InputWorkspace=ws,
OutputWorkspace='filter',
InformationWorkspace='info',
StartTime=start_time,
StopTime=stop_time,
TimeInterval=time_interval,
TimeTolerance=time_tolerance,
UnitOfTime=unit_of_time)
FilterEvents(InputWorkspace=ws,
SplitterWorkspace='filter',
OutputWorkspaceBaseName=ws + '_filtered',
InformationWorkspace='info',
GroupWorkspaces=True,
FilterByPulseTime=True,
OutputWorkspaceIndexedFrom1=True)
FilterEvents(InputWorkspace=ws + '_monitors',
SplitterWorkspace='filter',
OutputWorkspaceBaseName=ws + '_filtered_mon',
InformationWorkspace='info',
GroupWorkspaces=True,
FilterByPulseTime=True,
SpectrumWithoutDetector='Skip only if TOF correction',
OutputWorkspaceIndexedFrom1=True)
# Set the monitor count on filtered WS
for n in range(mtd[ws + '_filtered'].getNumberOfEntries()):
AddSampleLog(
mtd[ws + '_filtered'].getItem(n),
LogName="gd_prtn_chrg",
LogType='Number',
NumberType='Double',
LogText=str(
mtd[ws + '_filtered_mon'].getItem(n).getNumberEvents()
)
)
if background is not None:
AddSampleLog(
background_ws, LogName="gd_prtn_chrg",
LogType='Number',
NumberType='Double',
LogText=str(
mtd[background_ws + '_monitors'].getNumberEvents()
)
)
# Run powder diffraction reduction
xmin, xmax, bins = Binning.split(',')
WANDPowderReduction(ws + '_filtered',
CalibrationWorkspace=vanadium_ws,
BackgroundWorkspace=background_ws,
BackgroundScale=BackgroundScale,
XMin=xmin,
XMax=xmax,
NumberBins=bins,
Target=units,
LogBinning=log_binning,
NormaliseBy=normaliseBy,
OutputWorkspace=title)
out_wksp = mtd[title]
fn_tmp = f"{title}_"
fn_tmp += f"{start_time}_{stop_time}.dat"
SaveAscii(
InputWorkspace=out_wksp,
Filename=os.path.join(
out_dir,
fn_tmp
)
)
| 1 | # |
| 2 | # Filter_by_time_stamp_ZYP.py |
| 3 | # |
| 4 | # --------------------------------------------------------------------------- |
| 5 | # Script for filtering events based on time stamp |
| 6 | # --------------------------------------------------------------------------- |
| 7 | # |
| 8 | # ---------------------------- |
| 9 | # Yuanpeng Zhang @ Nov-10-2024 |
| 10 | # ---------------------------- |
| 11 | # |
| 12 | from mantid.simpleapi import * |
| 13 | |
| 14 | ############################################################################### |
| 15 | # ------------------------------ Input section -------------------------------- |
| 16 | ############################################################################### |
| 17 | |
| 18 | # Inputs for runs information. |
| 19 | title = 'output_th' |
| 20 | IPTS = 32368 |
| 21 | run = 1532451 |
| 22 | background = None |
| 23 | BackgroundScale = 1 |
| 24 | vanadium = 1530874 # Run number or `None` |
| 25 | vanadium_IPTS = 23858 |
| 26 | out_dir = "/SNS/users/y8z/Temp" |
| 27 | |
| 28 | # Inputs for runs control. |
| 29 | normaliseBy = 'Monitor' # One on (None, Monitor, Time) |
| 30 | units = 'Theta' # One of (Theta, ElasticQ, ElasticDSpacing) |
| 31 | Binning = '5,125,1200' # Min,Max,Number_of_bins |
| 32 | log_binning = False |
| 33 | |
| 34 | # Inputs for time stamp for filtering |
| 35 | # 'time_interval = 100' here means all data falling in between the start |
| 36 | # and stop time will be filtered into a single dataset. |
| 37 | start_time = '2024-10-23T03:44:06' |
| 38 | stop_time = '2024-10-23T03:52:26' |
| 39 | time_interval = '100' |
| 40 | unit_of_time = 'Percent' |
| 41 | time_tolerance = 0 |
| 42 | |
| 43 | ############################################################################### |
| 44 | # ---------------------------- Execution section ------------------------------ |
| 45 | ############################################################################### |
| 46 | |
| 47 | # Load vandium if not already loaded. |
| 48 | vanadium_ws = 'HB2C_{}'.format(vanadium) |
| 49 | |
| 50 | if vanadium_ws not in mtd: |
| 51 | LoadWAND(IPTS=vanadium_IPTS, |
| 52 | RunNumbers=vanadium, |
| 53 | OutputWorkspace=vanadium_ws) |
| 54 | |
| 55 | # Load background if needed and if not already loaded. |
| 56 | if background is not None: |
| 57 | background_ws = 'HB2C_{}'.format(background) |
| 58 | if background_ws not in mtd: |
| 59 | LoadEventNexus( |
| 60 | Filename='/HFIR/HB2C/IPTS-{}/nexus/HB2C_{}.nxs.h5'.format( |
| 61 | IPTS, background |
| 62 | ), |
| 63 | OutputWorkspace=background_ws, |
| 64 | LoadMonitors=True |
| 65 | ) |
| 66 | else: |
| 67 | background_ws = None |
| 68 | |
| 69 | # Load data if not already loaded |
| 70 | ws = 'HB2C_{}'.format(run) |
| 71 | |
| 72 | if ws not in mtd: |
| 73 | LoadEventNexus( |
| 74 | Filename='/HFIR/HB2C/IPTS-{}/nexus/HB2C_{}.nxs.h5'.format(IPTS, run), |
| 75 | OutputWorkspace=ws, |
| 76 | LoadMonitors=True) |
| 77 | # Mask detectors to be the same as vanadium |
| 78 | MaskDetectors(ws, MaskedWorkspace=vanadium_ws) |
| 79 | |
| 80 | # Filter events |
| 81 | GenerateEventsFilter(InputWorkspace=ws, |
| 82 | OutputWorkspace='filter', |
| 83 | InformationWorkspace='info', |
| 84 | StartTime=start_time, |
| 85 | StopTime=stop_time, |
| 86 | TimeInterval=time_interval, |
| 87 | TimeTolerance=time_tolerance, |
| 88 | UnitOfTime=unit_of_time) |
| 89 | FilterEvents(InputWorkspace=ws, |
| 90 | SplitterWorkspace='filter', |
| 91 | OutputWorkspaceBaseName=ws + '_filtered', |
| 92 | InformationWorkspace='info', |
| 93 | GroupWorkspaces=True, |
| 94 | FilterByPulseTime=True, |
| 95 | OutputWorkspaceIndexedFrom1=True) |
| 96 | FilterEvents(InputWorkspace=ws + '_monitors', |
| 97 | SplitterWorkspace='filter', |
| 98 | OutputWorkspaceBaseName=ws + '_filtered_mon', |
| 99 | InformationWorkspace='info', |
| 100 | GroupWorkspaces=True, |
| 101 | FilterByPulseTime=True, |
| 102 | SpectrumWithoutDetector='Skip only if TOF correction', |
| 103 | OutputWorkspaceIndexedFrom1=True) |
| 104 | |
| 105 | # Set the monitor count on filtered WS |
| 106 | for n in range(mtd[ws + '_filtered'].getNumberOfEntries()): |
| 107 | AddSampleLog( |
| 108 | mtd[ws + '_filtered'].getItem(n), |
| 109 | LogName="gd_prtn_chrg", |
| 110 | LogType='Number', |
| 111 | NumberType='Double', |
| 112 | LogText=str( |
| 113 | mtd[ws + '_filtered_mon'].getItem(n).getNumberEvents() |
| 114 | ) |
| 115 | ) |
| 116 | |
| 117 | if background is not None: |
| 118 | AddSampleLog( |
| 119 | background_ws, LogName="gd_prtn_chrg", |
| 120 | LogType='Number', |
| 121 | NumberType='Double', |
| 122 | LogText=str( |
| 123 | mtd[background_ws + '_monitors'].getNumberEvents() |
| 124 | ) |
| 125 | ) |
| 126 | |
| 127 | # Run powder diffraction reduction |
| 128 | xmin, xmax, bins = Binning.split(',') |
| 129 | WANDPowderReduction(ws + '_filtered', |
| 130 | CalibrationWorkspace=vanadium_ws, |
| 131 | BackgroundWorkspace=background_ws, |
| 132 | BackgroundScale=BackgroundScale, |
| 133 | XMin=xmin, |
| 134 | XMax=xmax, |
| 135 | NumberBins=bins, |
| 136 | Target=units, |
| 137 | LogBinning=log_binning, |
| 138 | NormaliseBy=normaliseBy, |
| 139 | OutputWorkspace=title) |
| 140 | |
| 141 | out_wksp = mtd[title] |
| 142 | fn_tmp = f"{title}_" |
| 143 | fn_tmp += f"{start_time}_{stop_time}.dat" |
| 144 | SaveAscii( |
| 145 | InputWorkspace=out_wksp, |
| 146 | Filename=os.path.join( |
| 147 | out_dir, |
| 148 | fn_tmp |
| 149 | ) |
| 150 | ) |
| 151 |