LArHVGainsPredictor Namespace Reference

Classes
class	GainPredictor
class	OracleGainReader

Variables
	parser = OptionParser(add_help_option=False)
	configure options
	action
	type
	dest
	default
	options
	args
int	error_code = 2
	hv_input_new = PlotCalibrationHV.L1CaloHVReader(options.hv_input_new)
	hv_input_ref = PlotCalibrationHV.L1CaloHVReader(options.hv_input_ref)
	geometry_convertor = PlotCalibrationGains.L1CaloGeometryConvertor()
	create instance of geometry convertor and load receiver-PPM map
	gain_predictor = GainPredictor(geometry_convertor)
	create instance of gain predictor
	h_orig_gains_em = PlotCalibrationGains.L1CaloMap("Em: orig. gains"," #eta bin","#phi bin")
	initialise histograms
	h_orig_gains_had = PlotCalibrationGains.L1CaloMap("Had: orig. gains"," #eta bin","#phi bin")
	h_pred_gains_em = PlotCalibrationGains.L1CaloMap("Em: pred. gains"," #eta bin","#phi bin")
	h_pred_gains_had = PlotCalibrationGains.L1CaloMap("Had: pred. gains"," #eta bin","#phi bin")
	h_diff_gains_em = PlotCalibrationGains.L1CaloMap("Em: (pred. gain - orig. gain) / orig. gain","#eta bin","#phi bin")
	h_diff_gains_had = PlotCalibrationGains.L1CaloMap("Had: (pred. gain - orig. gain) / orig. gain","#eta bin","#phi bin")
	output_text = open(options.output_files+".txt","w")
	initialise output .txt file
dict	pred_gains = {}
	initialise empty dictionary for predicted gains
	channel_list = open(options.channel_list)
dict	orig_gains = {}
	parts = channel.split()
dict	receiver_list = orig_gains.keys()
	coolid = geometry_convertor.getPPMfromReceiver(receiver)
	check if channel list is empty
	eta_bin = geometry_convertor.getEtaBin(coolid)
	phi_bin = geometry_convertor.getPhiBin(coolid)
tuple	num_layers = (hv_input_ref.GetNLayers())[receiver]
	retrieve num layers and layer names (from new or ref hv input)
list	layer_names = [-1,-1,-1,-1]
list	layer_corr_new = [1.,1.,1.,1.]
	retrieve hv corrections from new hv input
list	layer_corr_ref = [1.,1.,1.,1.]
	retrieve hv corrections from ref hv input
dict	orig_gain = orig_gains[receiver]
	pred_gain = gain_predictor.GetGain(receiver,orig_gain,layer_corr_ref,layer_corr_new,layer_names)
	calculate new gain for this receiver
tuple	diff_gain = ((pred_gain - orig_gain) / orig_gain) * 100.0
str	layer = "EM"
	fill histograms
	end
	print output to screen
	file
	write output to text file
	canvas = ROOT.TCanvas("canvas","",200,10,700,500)
	write output to .sqlite file

Variable Documentation

action

LArHVGainsPredictor.action

Definition at line 196 of file LArHVGainsPredictor.py.

args

LArHVGainsPredictor.args

Definition at line 204 of file LArHVGainsPredictor.py.

canvas

LArHVGainsPredictor.canvas = ROOT.TCanvas("canvas","",200,10,700,500)

write output to .sqlite file

write output to .ps/pdf file

Definition at line 459 of file LArHVGainsPredictor.py.

channel_list

LArHVGainsPredictor.channel_list = open(options.channel_list)

Definition at line 280 of file LArHVGainsPredictor.py.

coolid

LArHVGainsPredictor.coolid = geometry_convertor.getPPMfromReceiver(receiver)

check if channel list is empty

loop over receivers

Definition at line 330 of file LArHVGainsPredictor.py.

default

LArHVGainsPredictor.default

Definition at line 196 of file LArHVGainsPredictor.py.

dest

LArHVGainsPredictor.dest

Definition at line 196 of file LArHVGainsPredictor.py.

diff_gain

tuple LArHVGainsPredictor.diff_gain = ((pred_gain - orig_gain) / orig_gain) * 100.0

Definition at line 409 of file LArHVGainsPredictor.py.

end

LArHVGainsPredictor.end

print output to screen

Definition at line 431 of file LArHVGainsPredictor.py.

error_code

int LArHVGainsPredictor.error_code = 2

Definition at line 228 of file LArHVGainsPredictor.py.

eta_bin

LArHVGainsPredictor.eta_bin = geometry_convertor.getEtaBin(coolid)

Definition at line 332 of file LArHVGainsPredictor.py.

file

LArHVGainsPredictor.file

write output to text file

Definition at line 441 of file LArHVGainsPredictor.py.

gain_predictor

LArHVGainsPredictor.gain_predictor = GainPredictor(geometry_convertor)

create instance of gain predictor

Definition at line 253 of file LArHVGainsPredictor.py.

geometry_convertor

LArHVGainsPredictor.geometry_convertor = PlotCalibrationGains.L1CaloGeometryConvertor()

create instance of geometry convertor and load receiver-PPM map

Definition at line 247 of file LArHVGainsPredictor.py.

h_diff_gains_em

LArHVGainsPredictor.h_diff_gains_em = PlotCalibrationGains.L1CaloMap("Em: (pred. gain - orig. gain) / orig. gain","#eta bin","#phi bin")

Definition at line 263 of file LArHVGainsPredictor.py.

h_diff_gains_had

LArHVGainsPredictor.h_diff_gains_had = PlotCalibrationGains.L1CaloMap("Had: (pred. gain - orig. gain) / orig. gain","#eta bin","#phi bin")

Definition at line 264 of file LArHVGainsPredictor.py.

h_orig_gains_em

LArHVGainsPredictor.h_orig_gains_em = PlotCalibrationGains.L1CaloMap("Em: orig. gains"," #eta bin","#phi bin")

initialise histograms

Definition at line 257 of file LArHVGainsPredictor.py.

h_orig_gains_had

LArHVGainsPredictor.h_orig_gains_had = PlotCalibrationGains.L1CaloMap("Had: orig. gains"," #eta bin","#phi bin")

Definition at line 258 of file LArHVGainsPredictor.py.

h_pred_gains_em

LArHVGainsPredictor.h_pred_gains_em = PlotCalibrationGains.L1CaloMap("Em: pred. gains"," #eta bin","#phi bin")

Definition at line 260 of file LArHVGainsPredictor.py.

h_pred_gains_had

LArHVGainsPredictor.h_pred_gains_had = PlotCalibrationGains.L1CaloMap("Had: pred. gains"," #eta bin","#phi bin")

Definition at line 261 of file LArHVGainsPredictor.py.

hv_input_new

LArHVGainsPredictor.hv_input_new = PlotCalibrationHV.L1CaloHVReader(options.hv_input_new)

Definition at line 239 of file LArHVGainsPredictor.py.

hv_input_ref

LArHVGainsPredictor.hv_input_ref = PlotCalibrationHV.L1CaloHVReader(options.hv_input_ref)

Definition at line 241 of file LArHVGainsPredictor.py.

layer

str LArHVGainsPredictor.layer = "EM"

fill histograms

Definition at line 415 of file LArHVGainsPredictor.py.

layer_corr_new

list LArHVGainsPredictor.layer_corr_new = [1.,1.,1.,1.]

retrieve hv corrections from new hv input

Definition at line 352 of file LArHVGainsPredictor.py.

layer_corr_ref

list LArHVGainsPredictor.layer_corr_ref = [1.,1.,1.,1.]

retrieve hv corrections from ref hv input

Definition at line 367 of file LArHVGainsPredictor.py.

layer_names

list LArHVGainsPredictor.layer_names = [-1,-1,-1,-1]

Definition at line 339 of file LArHVGainsPredictor.py.

num_layers

tuple LArHVGainsPredictor.num_layers = (hv_input_ref.GetNLayers())[receiver]

retrieve num layers and layer names (from new or ref hv input)

Definition at line 337 of file LArHVGainsPredictor.py.

options

LArHVGainsPredictor.options

Definition at line 204 of file LArHVGainsPredictor.py.

orig_gain

dict LArHVGainsPredictor.orig_gain = orig_gains[receiver]

Definition at line 393 of file LArHVGainsPredictor.py.

orig_gains

LArHVGainsPredictor.orig_gains = {}

Definition at line 290 of file LArHVGainsPredictor.py.

output_text

LArHVGainsPredictor.output_text = open(options.output_files+".txt","w")

initialise output .txt file

Definition at line 268 of file LArHVGainsPredictor.py.

parser

LArHVGainsPredictor.parser = OptionParser(add_help_option=False)

configure options

Definition at line 194 of file LArHVGainsPredictor.py.

parts

LArHVGainsPredictor.parts = channel.split()

Definition at line 294 of file LArHVGainsPredictor.py.

phi_bin

LArHVGainsPredictor.phi_bin = geometry_convertor.getPhiBin(coolid)

Definition at line 333 of file LArHVGainsPredictor.py.

pred_gain

LArHVGainsPredictor.pred_gain = gain_predictor.GetGain(receiver,orig_gain,layer_corr_ref,layer_corr_new,layer_names)

calculate new gain for this receiver

Definition at line 401 of file LArHVGainsPredictor.py.

pred_gains

dict LArHVGainsPredictor.pred_gains = {}

initialise empty dictionary for predicted gains

Definition at line 272 of file LArHVGainsPredictor.py.

receiver_list

LArHVGainsPredictor.receiver_list = orig_gains.keys()

Definition at line 300 of file LArHVGainsPredictor.py.

type

LArHVGainsPredictor.type

Definition at line 196 of file LArHVGainsPredictor.py.