def analyze(self):
if self.global_iterations:
GdacTuning.analyze(self)
FeedbackTuning.analyze(self)
if self.local_iterations:
TdacTuning.analyze(self)
FdacTuning.analyze(self)
if self.make_plots:
if self.local_iterations:
plot_three_way(hist=self.tot_mean_best.transpose(),
title="Mean ToT after last FDAC tuning",
x_axis_title='Mean ToT',
filename=self.plots_filename)
plot_three_way(
hist=self.register.get_pixel_register_value(
"FDAC").transpose(),
title="FDAC distribution after last FDAC tuning",
x_axis_title='FDAC',
filename=self.plots_filename,
maximum=16)
if self.local_iterations >= 0:
plot_three_way(hist=self.occupancy_best.transpose(),
title="Occupancy after tuning",
x_axis_title='Occupancy',
filename=self.plots_filename,
maximum=100)
plot_three_way(hist=self.register.get_pixel_register_value(
"TDAC").transpose(),
title="TDAC distribution after complete tuning",
x_axis_title='TDAC',
filename=self.plots_filename,
maximum=32)
self.plots_filename.close()
def analyze(self):
if self.global_iterations > 0:
FeedbackTuning.analyze(self)
if self.global_iterations >= 0:
GdacTuning.analyze(self)
if self.local_iterations > 0:
FdacTuning.analyze(self)
if self.local_iterations >= 0:
TdacTuning.analyze(self)
# write configuration to avoid high current states
commands = []
commands.extend(self.register.get_commands("ConfMode"))
commands.extend(self.register.get_commands("WrRegister", name=["Vthin_AltCoarse", "Vthin_AltFine", "PrmpVbpf"]))
commands.extend(self.register.get_commands("WrFrontEnd", same_mask_for_all_dc=False, name="TDAC"))
commands.extend(self.register.get_commands("WrFrontEnd", same_mask_for_all_dc=False, name="FDAC"))
self.register_utils.send_commands(commands)
if self.local_iterations > 0:
plot_three_way(hist=self.tot_mean_best.transpose(), title="Mean ToT after last FDAC tuning", x_axis_title='Mean ToT', filename=self.plots_filename, maximum=15)
plot_three_way(hist=self.register.get_pixel_register_value("FDAC").transpose(), title="FDAC distribution after last FDAC tuning", x_axis_title='FDAC', filename=self.plots_filename, maximum=15)
if self.local_iterations >= 0:
plot_three_way(hist=self.occupancy_best.transpose(), title="Occupancy after last TDAC tuning", x_axis_title='Occupancy', filename=self.plots_filename, maximum=self.n_injections_tdac)
plot_three_way(hist=self.register.get_pixel_register_value("TDAC").transpose(), title="TDAC distribution after last TDAC tuning", x_axis_title='TDAC', filename=self.plots_filename, maximum=31)
self.plots_filename.close()
def analyze(self):
if self.global_iterations:
GdacTuning.analyze(self)
FeedbackTuning.analyze(self)
if self.local_iterations:
TdacTuning.analyze(self)
FdacTuning.analyze(self)
if self.make_plots:
if self.local_iterations:
plotThreeWay(hist=self.tot_mean_best.transpose(), title="Mean ToT after last FDAC tuning", x_axis_title='Mean ToT', filename=self.plots_filename)
plotThreeWay(hist=self.register.get_pixel_register_value("FDAC").transpose(), title="FDAC distribution after last FDAC tuning", x_axis_title='FDAC', filename=self.plots_filename, maximum=16)
if self.local_iterations >= 0:
plotThreeWay(hist=self.occupancy_best.transpose(), title="Occupancy after tuning", x_axis_title='Occupancy', filename=self.plots_filename, maximum=100)
plotThreeWay(hist=self.register.get_pixel_register_value("TDAC").transpose(), title="TDAC distribution after complete tuning", x_axis_title='TDAC', filename=self.plots_filename, maximum=32)
self.plots_filename.close()
