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Root and muon calibration at Daya Bay Deb Mohapatra
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Daya Bay Framework: NuWa Nuwa is installed at “/home/dayabay/nuwa” externals CMT, Boost AIDA, GSL, clhep, XercesC Geant4, OpenMotif, OpenScientist Python, Cmake, mysql ROOT Nuwa-release lcgcmt, ldm, relax Gaudi lhcb dybgaudi #!/bin/tcsh pushd /home/dayabay/nuwa/NuWa-trunk source setup.csh popd pushd /home/dayabay/nuwa/NuWa-trunk/dybgaudi/DybRelease/cmt source setup.csh popd
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LED Diffuser Ball in Water Pool LEDs are placed in the positions specified in the Near Pool and Far Pool Diagram (inside the red squire) above for this simulation We simulate 2000 events with only one LED flashing at a time
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How to generate LED Diffuser Ball MC import GenTools from GenTools.Helpers import DiffuserBall ball = DiffuserBall() ball.setVolume(myVolume) ball.setPosition( [xpos*units.cm, ypos*units.cm, zpos*units.cm] ) ball.ball.PhotonsPerEvent = intensity gtc = GenTools.Configure() # GEANT4 import DetSim detsim = DetSim.Configure(physlist = DetSim.physics_list_basic) # Next do the electronic simulation and trigger simulation # At the end you will get a ROOT file with EVENT and RUNHEAD info
![How to generate LED Diffuser Ball MC import GenTools from GenTools.Helpers import DiffuserBall ball = DiffuserBall() ball.setVolume(myVolume) ball.setPosition( [xpos*units.cm, ypos*units.cm, zpos*units.cm] ) ball.ball.PhotonsPerEvent = intensity gtc = GenTools.Configure() # GEANT4 import DetSim detsim = DetSim.Configure(physlist = DetSim.physics_list_basic) # Next do the electronic simulation and trigger simulation # At the end you will get a ROOT file with EVENT and RUNHEAD info](http://images.slideplayer.com./32/10055295/slides/slide_4.jpg "How to generate LED Diffuser Ball MC import GenTools from GenTools.Helpers import DiffuserBall ball = DiffuserBall() ball.setVolume(myVolume) ball.setPosition( [xpos*units.cm, ypos*units.cm, zpos*units.cm] ) ball.ball.PhotonsPerEvent = intensity gtc = GenTools.Configure() # GEANT4 import DetSim detsim = DetSim.Configure(physlist = DetSim.physics_list_basic) # Next do the electronic simulation and trigger simulation # At the end you will get a ROOT file with EVENT and RUNHEAD info")
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The MC Root File Structure
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How to write Analysis module from DybPython.DybPythonAlg import DybPythonAlg from GaudiPython import SUCCESS, FAILURE from GaudiPython import gbl from DybPython.Util import irange # Make shortcuts to any ROOT classes you want to use TTree = gbl.TTree # Define the algorithm class TreeAlg(DybPythonAlg): "Tree-writing Python Algorithm" def __init__(self,name): DybPythonAlg.__init__(self,name) return def initialize(self) # Initialize services # Statistics Service: Use for histograms, graphs, trees # Make a tree return SUCCESS def execute(self): # Access current data # Set Branch values # Loop over hits in each detector # Fill the tree with current branch values return SUCCESS def finalize(self): return status def configure(): from StatisticsSvc.StatisticsSvcConf import StatisticsSvc statsSvc = StatisticsSvc() statsSvc.Output ={"file0":"simHitStats.root"} return def run(app): ''' Configure and add an algorithm to job ''' app.ExtSvc += ["StatisticsSvc"] example = TreeAlg("MyTreeExample") app.addAlgorithm(example) pass /home/dayabay/nuwa/NuWa-trunk/tutorial/DivingIn/python/DivingIn
![How to write Analysis module from DybPython.DybPythonAlg import DybPythonAlg from GaudiPython import SUCCESS, FAILURE from GaudiPython import gbl from DybPython.Util import irange # Make shortcuts to any ROOT classes you want to use TTree = gbl.TTree # Define the algorithm class TreeAlg(DybPythonAlg): Tree-writing Python Algorithm def __init__(self,name): DybPythonAlg.__init__(self,name) return def initialize(self) # Initialize services # Statistics Service: Use for histograms, graphs, trees # Make a tree return SUCCESS def execute(self): # Access current data # Set Branch values # Loop over hits in each detector # Fill the tree with current branch values return SUCCESS def finalize(self): return status def configure(): from StatisticsSvc.StatisticsSvcConf import StatisticsSvc statsSvc = StatisticsSvc() statsSvc.Output ={ file0 : simHitStats.root } return def run(app): Configure and add an algorithm to job app.ExtSvc += [ StatisticsSvc ] example = TreeAlg( MyTreeExample ) app.addAlgorithm(example) pass /home/dayabay/nuwa/NuWa-trunk/tutorial/DivingIn/python/DivingIn](http://images.slideplayer.com./32/10055295/slides/slide_6.jpg "How to write Analysis module from DybPython.DybPythonAlg import DybPythonAlg from GaudiPython import SUCCESS, FAILURE from GaudiPython import gbl from DybPython.Util import irange # Make shortcuts to any ROOT classes you want to use TTree = gbl.TTree # Define the algorithm class TreeAlg(DybPythonAlg): Tree-writing Python Algorithm def __init__(self,name): DybPythonAlg.__init__(self,name) return def initialize(self) # Initialize services # Statistics Service: Use for histograms, graphs, trees # Make a tree return SUCCESS def execute(self): # Access current data # Set Branch values # Loop over hits in each detector # Fill the tree with current branch values return SUCCESS def finalize(self): return status def configure(): from StatisticsSvc.StatisticsSvcConf import StatisticsSvc statsSvc = StatisticsSvc() statsSvc.Output ={ file0 : simHitStats.root } return def run(app): Configure and add an algorithm to job app.ExtSvc += [ StatisticsSvc ] example = TreeAlg( MyTreeExample ) app.addAlgorithm(example) pass /home/dayabay/nuwa/NuWa-trunk/tutorial/DivingIn/python/DivingIn")
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Analysis Root File
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Number of Hits per Diffuser Ball
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Hit time
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Tutorial files /home/dmohapat/tutorial/root101 /home/dmohapat/tutorial/mucal
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