default="",
help='Tag for saving')
cms_label_group = parser.add_mutually_exclusive_group(required=False)
cms_label_group.add_argument('--cms',
action='store_true',
help="Draw CMS label")
cms_label_group.add_argument('--cms_text',
type=str,
help="Draw CMS label with extra text")
parser.add_argument('--conference_label',
type=str,
default="",
help="Text for specifying conference or time period")
args = parser.parse_args()
gq_plot = GQSummaryPlot("gq_all_2c{}".format(args.save_tag))
# If args.goms_fills is specified, don't draw the "line_width=402" style fill
if args.gom_fills:
for style_name in style:
style[style_name]["line_width"] = 2
# Load data
analysis_data = {}
analyses = args.analyses.split(",")
for analysis in analyses:
# Dummy entries: just go in legend, no actual data
if len(analysis) == 0:
print "ERROR : analyses contains zero length string."
print analyses
if analysis[0] == "_":
default="",
help='Tag for saving')
cms_label_group = parser.add_mutually_exclusive_group(required=False)
cms_label_group.add_argument('--cms',
action='store_true',
help="Draw CMS label")
cms_label_group.add_argument('--cms_text',
type=str,
help="Draw CMS label with extra text")
parser.add_argument('--conference_label',
type=str,
default="",
help="Text for specifying conference or time period")
args = parser.parse_args()
gq_plot = GQSummaryPlot("gq_cms{}".format(args.save_tag))
# If args.goms_fills is specified, don't draw the "line_width=402" style fill
if args.gom_fills:
for style_name in style:
style[style_name]["line_width"] = 2
# Load data
analysis_data = {}
analyses = args.analyses.split(",")
for analysis in analyses:
# Dummy entries: just go in legend, no actual data
if analysis[0] == "_":
gq_plot.add_legend_only(analysis, legend_entries[analysis])
continue
default="0.1,0.3",
help='List of Gamma/M values to draw')
parser.add_argument(
'--gom_fills',
action='store_true',
help='Draw fills for exclusions with Gamma/M or gq upper bound')
cms_label_group = parser.add_mutually_exclusive_group(required=False)
cms_label_group.add_argument('--cms',
action='store_true',
help="Draw CMS label")
cms_label_group.add_argument('--cms_text',
type=str,
help="Draw CMS label with extra text")
args = parser.parse_args()
gq_plot = GQSummaryPlot("gq_cms")
# If args.goms_fills is specified, don't draw the "line_width=402" style fill
if args.gom_fills:
for style_name in style:
style[style_name]["line_width"] = 2
# Load data
analysis_data = {}
analyses = args.analyses.split(",")
for analysis in analyses:
analysis_data[analysis] = DijetData(analysis)
analysis_data[analysis].load_data("data/{}.dat".format(analysis))
if args.gom_fills and analysis in max_gom:
this_max_gom = max_gom[analysis]
else:
parser = ArgumentParser(description='Make g_q summary plot')
parser.add_argument('--analyses', type=str, default="\
EXO17001_obs,EXO16057_SR1_obs,EXO16046_obs,\
EXO14005_obs,EXO16056_narrow_obs,EXO16056_wide_obs,\
ATLAS_EXOT1701_obs,ATLAS_8TeV,UA2,\
CDF_Run1,CDF_Run2,EXO16057_SR2_obs", help="Analyses to plot (CADI lines, comma-separated)")
parser.add_argument('--logx', action='store_true', help='Log x')
parser.add_argument('--logy', action='store_true', help='Log y')
parser.add_argument('--goms', type=str, default="0.1,0.3", help='List of Gamma/M values to draw')
parser.add_argument('--gom_fills', action='store_true', help='Draw fills for exclusions with Gamma/M or gq upper bound')
cms_label_group = parser.add_mutually_exclusive_group(required=False)
cms_label_group.add_argument('--cms', action='store_true', help="Draw CMS label")
cms_label_group.add_argument('--cms_text', type=str, help="Draw CMS label with extra text")
args = parser.parse_args()
gq_plot = GQSummaryPlot("gq_all")
# If args.goms_fills is specified, don't draw the "line_width=402" style fill
if args.gom_fills:
for style_name in style:
style[style_name]["line_width"] = 2
# Load data
analysis_data = {}
if args.analyses=='': analyses = []
else: analyses = args.analyses.split(",")
for analysis in analyses:
analysis_data[analysis] = DijetData(analysis)
if args.gom_fills and analysis in max_gom:
this_max_gom = max_gom[analysis]
else: