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()
def scan(self):
'''Metascript that calls other scripts to tune the FE.
Parameters
----------
cfg_name : string
Name of the config to be created. This config holds the tuning results.
target_threshold : int
The target threshold value in PlsrDAC.
target_charge : int
The target charge in PlsrDAC value to tune to.
target_tot : int
The target tot value to tune to.
global_iterations : int
Defines how often global threshold/global feedback current tuning is repeated.
-1: the global tuning is disabled
0: the global tuning consists of the global threshold tuning only
1: global threshold/global feedback current/global threshold tuning
2: global threshold/global feedback current/global threshold tuning/global feedback current/global threshold tuning
...
local_iterations : int
Defines how often local threshold (TDAC) / feedback current (FDAC) tuning is repeated.
-1: the local tuning is disabled
0: the local tuning consists of the local threshold tuning only (TDAC)
1: TDAC/FDAC/TDAC
2: TDAC/FDAC/TDAC/FDAC/TDAC
...
'''
if self.global_iterations < 0:
self.global_iterations = 0
if self.local_iterations < 0:
self.local_iterations = 0
difference_bit = 1
if self.make_plots:
self.plots_filename = PdfPages(self.output_filename + '.pdf')
else:
self.plots_filename = None
start_bit = 7
for iteration in range(0, self.global_iterations): # tune iteratively with decreasing range to save time
logging.info("Global tuning step %d / %d" % (iteration + 1, self.global_iterations))
start_bit = 7 # - difference_bit * iteration
self.set_scan_parameters(global_step=self.scan_parameters.global_step + 1)
self.gdac_tune_bits = range(start_bit, -1, -1)
GdacTuning.scan(self)
self.set_scan_parameters(global_step=self.scan_parameters.global_step + 1)
self.feedback_tune_bits = range(start_bit, -1, -1)
FeedbackTuning.scan(self)
if self.global_iterations >= 0:
self.set_scan_parameters(global_step=self.scan_parameters.global_step + 1)
self.gdac_tune_bits = range(start_bit, -1, -1)
GdacTuning.scan(self)
Vthin_AC = self.register.get_global_register_value("Vthin_AltCoarse")
Vthin_AF = self.register.get_global_register_value("Vthin_AltFine")
PrmpVbpf = self.register.get_global_register_value("PrmpVbpf")
logging.info("Results of global threshold tuning: Vthin_AltCoarse / Vthin_AltFine = %d / %d" % (Vthin_AC, Vthin_AF))
logging.info("Results of global feedback tuning: PrmpVbpf = %d" % (PrmpVbpf,))
difference_bit = int(5 / (self.local_iterations if self.local_iterations > 0 else 1))
start_bit = 4
for iteration in range(0, self.local_iterations):
logging.info("Local tuning step %d / %d" % (iteration + 1, self.local_iterations))
start_bit = 4 # - difference_bit * iteration
self.tdac_tune_bits = range(start_bit, -1, -1)
TdacTuning.scan(self)
self.fdac_tune_bits = range(start_bit - 1, -1, -1)
FdacTuning.scan(self)
if self.local_iterations >= 0:
self.tdac_tune_bits = range(start_bit, -1, -1)
TdacTuning.scan(self)
def scan(self):
'''Metascript that calls other scripts to tune the FE.
Parameters
----------
cfg_name : string
Name of the config to be created. This config holds the tuning results.
target_threshold : int
The target threshold value in PlsrDAC.
target_charge : int
The target charge in PlsrDAC value to tune to.
target_tot : float
The target tot value to tune to.
global_iterations : int
Defines how often global threshold/global feedback current tuning is repeated.
-1: the global tuning is disabled
0: the global tuning consists of the global threshold tuning only
1: global threshold/global feedback current/global threshold tuning
2: global threshold/global feedback current/global threshold tuning/global feedback current/global threshold tuning
...
local_iterations : int
Defines how often local threshold (TDAC) / feedback current (FDAC) tuning is repeated.
-1: the local tuning is disabled
0: the local tuning consists of the local threshold tuning only (TDAC)
1: TDAC/FDAC/TDAC
2: TDAC/FDAC/TDAC/FDAC/TDAC
...
'''
if self.global_iterations < 0:
self.global_iterations = 0
if self.local_iterations < 0:
self.local_iterations = 0
# difference_bit = 1
if self.make_plots:
self.plots_filename = PdfPages(self.output_filename + '.pdf')
else:
self.plots_filename = None
start_bit = 7
for iteration in range(0, self.global_iterations): # tune iteratively with decreasing range to save time
logging.info("Global tuning step %d / %d", iteration + 1, self.global_iterations)
start_bit = 7 # - difference_bit * iteration
self.set_scan_parameters(global_step=self.scan_parameters.global_step + 1)
self.gdac_tune_bits = range(start_bit, -1, -1)
GdacTuning.scan(self)
self.set_scan_parameters(global_step=self.scan_parameters.global_step + 1)
self.feedback_tune_bits = range(start_bit, -1, -1)
FeedbackTuning.scan(self)
if self.global_iterations >= 0:
self.set_scan_parameters(global_step=self.scan_parameters.global_step + 1)
self.gdac_tune_bits = range(start_bit, -1, -1)
GdacTuning.scan(self)
Vthin_AC = self.register.get_global_register_value("Vthin_AltCoarse")
Vthin_AF = self.register.get_global_register_value("Vthin_AltFine")
PrmpVbpf = self.register.get_global_register_value("PrmpVbpf")
logging.info("Results of global threshold tuning: Vthin_AltCoarse / Vthin_AltFine = %d / %d", Vthin_AC, Vthin_AF)
logging.info("Results of global feedback tuning: PrmpVbpf = %d", PrmpVbpf)
# difference_bit = int(5 / (self.local_iterations if self.local_iterations > 0 else 1))
start_bit = 4
for iteration in range(0, self.local_iterations):
logging.info("Local tuning step %d / %d", iteration + 1, self.local_iterations)
start_bit = 4 # - difference_bit * iteration
self.tdac_tune_bits = range(start_bit, -1, -1)
TdacTuning.scan(self)
self.fdac_tune_bits = range(start_bit - 1, -1, -1)
FdacTuning.scan(self)
if self.local_iterations >= 0:
self.tdac_tune_bits = range(start_bit, -1, -1)
TdacTuning.scan(self)
def scan(self):
'''Metascript that calls other scripts to tune the FE.
Parameters
----------
cfg_name : string
Name of the config to be created. This config holds the tuning results.
target_threshold : int
The target threshold value in PlsrDAC.
target_charge : int
The target charge in PlsrDAC value to tune to.
target_tot : float
The target tot value to tune to.
global_iterations : int
Defines how often global threshold (GDAC) / global feedback (PrmpVbpf) current tuning is repeated.
-1 or None: Global tuning is disabled
0: Only global threshold tuning
1: GDAC -> PrmpVbpf -> GDAC
2: GDAC -> PrmpVbpf -> GDAC -> PrmpVbpf -> GDAC
...
local_iterations : int
Defines how often local threshold (TDAC) / feedback current (FDAC) tuning is repeated.
-1 or None: Local tuning is disabled
0: Only local threshold tuning
1: TDAC -> FDAC -> TDAC
2: TDAC -> FDAC -> TDAC -> FDAC -> TDAC
...
'''
if self.global_iterations is None:
self.global_iterations = -1
if self.local_iterations is None:
self.local_iterations = -1
if self.make_plots:
self.plots_filename = PdfPages(self.output_filename + '.pdf')
else:
self.plots_filename = None
for iteration in range(0, self.global_iterations): # tune iteratively with decreasing range to save time
logging.info("Global tuning step %d / %d", iteration + 1, self.global_iterations)
self.set_scan_parameters(global_step=self.scan_parameters.global_step + 1)
GdacTuning.scan(self)
self.set_scan_parameters(global_step=self.scan_parameters.global_step + 1)
FeedbackTuning.scan(self)
if self.global_iterations >= 0:
self.set_scan_parameters(global_step=self.scan_parameters.global_step + 1)
GdacTuning.scan(self)
Vthin_AC = self.register.get_global_register_value("Vthin_AltCoarse")
Vthin_AF = self.register.get_global_register_value("Vthin_AltFine")
PrmpVbpf = self.register.get_global_register_value("PrmpVbpf")
logging.info("Results of global threshold tuning: Vthin_AltCoarse / Vthin_AltFine = %d / %d", Vthin_AC, Vthin_AF)
logging.info("Results of global feedback tuning: PrmpVbpf = %d", PrmpVbpf)
for iteration in range(0, self.local_iterations):
logging.info("Local tuning step %d / %d", iteration + 1, self.local_iterations)
self.set_scan_parameters(local_step=self.scan_parameters.local_step + 1)
TdacTuning.scan(self)
self.set_scan_parameters(local_step=self.scan_parameters.local_step + 1)
FdacTuning.scan(self)
if self.local_iterations >= 0:
self.set_scan_parameters(local_step=self.scan_parameters.local_step + 1)
TdacTuning.scan(self)
def scan(self):
'''Metascript that calls other scripts to tune the FE.
Parameters
----------
cfg_name : string
Name of the config to be created. This config holds the tuning results.
target_threshold : int
The target threshold value in PlsrDAC.
target_charge : int
The target charge in PlsrDAC value to tune to.
target_tot : float
The target tot value to tune to.
global_iterations : int
Defines how often global threshold (GDAC) / global feedback (PrmpVbpf) current tuning is repeated.
-1 or None: Global tuning is disabled
0: Only global threshold tuning
1: GDAC -> PrmpVbpf -> GDAC
2: GDAC -> PrmpVbpf -> GDAC -> PrmpVbpf -> GDAC
...
local_iterations : int
Defines how often local threshold (TDAC) / feedback current (FDAC) tuning is repeated.
-1 or None: Local tuning is disabled
0: Only local threshold tuning
1: TDAC -> FDAC -> TDAC
2: TDAC -> FDAC -> TDAC -> FDAC -> TDAC
...
'''
for iteration in range(0, self.global_iterations): # tune iteratively with decreasing range to save time
if self.stop_run.is_set():
break
logging.info("Global tuning step %d / %d", iteration + 1, self.global_iterations)
self.set_scan_parameters(global_step=self.scan_parameters.global_step + 1)
GdacTuning.scan(self)
commands = []
commands.extend(self.register.get_commands("ConfMode"))
commands.extend(self.register.get_commands("WrRegister", name=["Vthin_AltCoarse", "Vthin_AltFine"]))
commands.extend(self.register.get_commands("RunMode"))
self.register_utils.send_commands(commands)
if self.stop_run.is_set():
break
self.set_scan_parameters(global_step=self.scan_parameters.global_step + 1)
FeedbackTuning.scan(self)
commands = []
commands.extend(self.register.get_commands("ConfMode"))
commands.extend(self.register.get_commands("WrRegister", name=["PrmpVbpf"]))
commands.extend(self.register.get_commands("RunMode"))
self.register_utils.send_commands(commands)
if self.global_iterations >= 0 and not self.stop_run.is_set():
self.set_scan_parameters(global_step=self.scan_parameters.global_step + 1)
GdacTuning.scan(self)
commands = []
commands.extend(self.register.get_commands("ConfMode"))
commands.extend(self.register.get_commands("WrRegister", name=["Vthin_AltCoarse", "Vthin_AltFine"]))
commands.extend(self.register.get_commands("RunMode"))
self.register_utils.send_commands(commands)
Vthin_AC = self.register.get_global_register_value("Vthin_AltCoarse")
Vthin_AF = self.register.get_global_register_value("Vthin_AltFine")
PrmpVbpf = self.register.get_global_register_value("PrmpVbpf")
logging.info("Results of global threshold tuning: Vthin_AltCoarse / Vthin_AltFine = %d / %d", Vthin_AC, Vthin_AF)
logging.info("Results of global feedback tuning: PrmpVbpf = %d", PrmpVbpf)
for iteration in range(0, self.local_iterations):
if self.stop_run.is_set():
break
logging.info("Local tuning step %d / %d", iteration + 1, self.local_iterations)
self.set_scan_parameters(local_step=self.scan_parameters.local_step + 1)
TdacTuning.scan(self)
commands = []
commands.extend(self.register.get_commands("ConfMode"))
commands.extend(self.register.get_commands("WrFrontEnd", same_mask_for_all_dc=False, name="TDAC"))
commands.extend(self.register.get_commands("RunMode"))
self.register_utils.send_commands(commands)
if self.stop_run.is_set():
break
self.set_scan_parameters(local_step=self.scan_parameters.local_step + 1)
FdacTuning.scan(self)
commands = []
commands.extend(self.register.get_commands("ConfMode"))
commands.extend(self.register.get_commands("WrFrontEnd", same_mask_for_all_dc=False, name="FDAC"))
commands.extend(self.register.get_commands("RunMode"))
self.register_utils.send_commands(commands)
if self.local_iterations >= 0 and not self.stop_run.is_set():
self.set_scan_parameters(local_step=self.scan_parameters.local_step + 1)
TdacTuning.scan(self)
commands = []
commands.extend(self.register.get_commands("ConfMode"))
commands.extend(self.register.get_commands("WrFrontEnd", same_mask_for_all_dc=False, name="TDAC"))
commands.extend(self.register.get_commands("RunMode"))
self.register_utils.send_commands(commands)