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arch_sim_MC.py
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#from __future__ import print_function
import numpy as np
import random
import numba
import pickle
import matplotlib.pyplot as plt
# import logging
# import logging.handlers
# import sys
# consoleHandler = logging.StreamHandler(sys.stdout)
# consoleHandler.setFormatter(logFormatter)
# rootLogger.addHandler(consoleHandler)
#from keyword import kwlist
#import matplotlib.pyplot as plt
#import yaml
#import pickle
#import logging
#logging.basicConfig(level=logging.INFO, format='%(message)s')
#logger = logging.getLogger()
#logger.addHandler(logging.FileHandler('test.log', 'a'))
#print = logger.info
@numba.jit
def monopix_sim(CHIP_HITS, TRIGGER, LATENCY = 400, TRIGGER_RATE = 4.0/40, PIXEL_AREA = 36.0*36.0, READ_COL = 2, ROW = 512, COL = 512, LOGIC_COL = 512/2, READ_TRIG_MEM = 1, TRIG_MEM_SIZE = 96, READ_OUT_FIFO = 1, OUT_FIFO_SIZE = 128):
# Average hit rate L4: 0.021/mm2/BC
##############################################################
# PAREMETERS #
# LATENCY = 400 10us #
# TRIGGER_RATE = 4.0/40 4MHz #
# ROW = 2*512 number of pixle per r.o. unit #
# READ_COL = 4 10MHz column bus #
# READ_TRIG_MEM = 1 1 - 40MHz / 4 - 160MHz #
# READ_OUT_FIFO = 1 1 - 40MHz @ 32bit #
# CHIP_HITS dtype([('bcid', '<u4'), #
# ('eta_module', 'u1'), #
# ('phi_module', 'u1'), #
# ('eta_index', '<u2'), #
# ('phi_index', '<u2'), #
# ('charge', '<f8'), #
# ('trigger', '?')]) #
##############################################################
# logFormatter = logging.Formatter('%(asctime)s [%(levelname)-5.5s]: %(message)s')
# rootLogger = logging.getLogger()
# rootLogger.setLevel(logging.DEBUG)
# fileHandler = logging.handlers.RotatingFileHandler('log_MC.log', maxBytes=2000000, backupCount=3)
# fileHandler.setFormatter(logFormatter)
# rootLogger.addHandler(fileHandler)
SIM_TIME = np.amax(CHIP_HITS['bcid'])
# logging.info('Total events: {}'.format(SIM_TIME))
TOT_SLOPE = 1.0/250 # 4 ToT/1000 e-
MAX_TOT = int(np.amax(CHIP_HITS['charge'])*TOT_SLOPE)
TOT_LIMIT = 16 # ToT clipping
# logging.info('Max ToT: {}'.format(MAX_TOT))
PIXEL_MAX_LATENCY = 63 # 6-bit ToT
WAIT_FOR_TRIG_MEM = False # wait with in the array or read and losse
active_area = float(PIXEL_AREA)*ROW*COL/(10000*10000)
hit_rate = (float(CHIP_HITS.size)/np.amax(CHIP_HITS['bcid'])/active_area)*40 # Average value in MHz/cm2
analog_pileup = 0.0
digital_pileup = 0.0
late_copy = 0.0
trig_mem_pileup = 0.0
total_hits = 0.0
trig_count = 0
pix_mem_tot = np.zeros((COL, ROW) ,dtype=np.int32)
pix_mem_bx = np.zeros((COL, ROW) ,dtype=np.int32)
pix_hit_map = np.zeros((COL, ROW) ,dtype=np.int32)
trig_mem = np.zeros((LOGIC_COL, TRIG_MEM_SIZE) ,dtype=np.int32)
out_fifo = np.zeros((OUT_FIFO_SIZE) ,dtype=np.int32)
out_fifo_hist = np.zeros((OUT_FIFO_SIZE+1) ,dtype=np.uint)
trig_mem_hist = np.zeros((TRIG_MEM_SIZE+1) ,dtype=np.uint)
tot_hist = np.zeros((TOT_LIMIT+1) ,dtype=np.uint)
trig_mem_fill_mon = np.zeros((LOGIC_COL, SIM_TIME) ,dtype=np.uint)
out_fifo_fill_mon = np.zeros((SIM_TIME) ,dtype=np.uint)
to_read_trig_mem_mon = np.zeros((SIM_TIME) ,dtype=np.uint)
col_ro_delay_hist = np.zeros((PIXEL_MAX_LATENCY+1+TOT_LIMIT), dtype=np.uint)
read_col_cnt = np.zeros((LOGIC_COL) ,dtype=np.uint)
read_fifo_cnt = 0
large_tot = 0
large_delay = 0
hits_per_bx = np.zeros((SIM_TIME) ,dtype=np.uint)
for bx in range(SIM_TIME):
hits_bx = CHIP_HITS[CHIP_HITS['bcid'] == bx] #random.randint(0, 9999)]
hits_per_bx[bx] = hits_bx.size
if bx%1000 == 1:
print 'bx number: {}'.format(bx)
# logging.info('hits info: {}'.format(hits_bx))
# logging.info('total hits for bx {}: {}'.format(bx, hits_per_bx[bx]))
###################################################################################
# Output FIFO read #
###################################################################################
#histogram
out_fifo_hist[len(np.nonzero(out_fifo)[0])] += 1
len_out_fifo_occ = len(np.where(out_fifo==True)[0]) # occupied output fifo size
# logging.info('fifo status at bx {}: {} {}'.format(bx, len_out_fifo_occ, np.where(out_fifo==True)[0]))
out_fifo_fill_mon[bx] += len_out_fifo_occ
if READ_OUT_FIFO >= 1:
for read_output_fifo in range(len_out_fifo_occ):
if read_output_fifo >= READ_OUT_FIFO:
break
out_fifo_occ = np.where(out_fifo==True)[0]
if len(out_fifo_occ):
out_fifo[out_fifo_occ[:1]] = 0
else:
if read_fifo_cnt >= (1/READ_OUT_FIFO)-1:
out_fifo_occ = np.where(out_fifo==True)[0]
if len(out_fifo_occ):
out_fifo[out_fifo_occ[:1]] = 0
read_fifo_cnt = 0
else:
read_fifo_cnt += 1
#if read_fifo_cnt >= READ_OUT_FIFO):
# out_fifo_occ = np.where(out_fifo==True)[0] #occupied output fifo
# if len(out_fifo_occ):
# out_fifo[out_fifo_occ[:1]] = 0 #clear fist occupied output fifo
# read_fifo_cnt = 0
#else:
# read_fifo_cnt += 1
##################################################################################
# trig mem to out fifo #
##################################################################################
max_trig_latency = np.max(trig_mem)
# logging.info('max trig mem latency: {}'.format(max_trig_latency))
# logging.info('trig mem: {}'.format(trig_mem))
to_read_trig_mem = np.where((trig_mem > LATENCY) & (trig_mem == max_trig_latency))
to_read_trig_mem_mon[bx] = len(to_read_trig_mem[0])
# logging.info('length of trig mem to read: {}'.format(len(to_read_trig_mem[0])))
# logging.info('trig mem to read: {}'.format(to_read_trig_mem))
for read_trigger_mem in range(len(to_read_trig_mem[0])):
if read_trigger_mem >= READ_TRIG_MEM:
break
empty_out_fifo = np.where(out_fifo==0)[0]
# logging.info('empty fifo: {}'.format(empty_out_fifo))
if len(empty_out_fifo) > 0:
trig_mem[to_read_trig_mem[0][read_trigger_mem],to_read_trig_mem[1][read_trigger_mem]] = 0 #remove triggered data
# logging.info('read trig mem {}{}'.format(to_read_trig_mem[0][read_trigger_mem], to_read_trig_mem[1][read_trigger_mem]))
out_fifo[empty_out_fifo[:1]] = 1
# logging.info('occupied fifo after trige mem r.o.: {}'.format(np.where(out_fifo==True)[0]))
# no_trigger = random.random() > TRIGGER_RATE
# if no_trigger == False: trig_count += 1
if TRIGGER[bx] == True: trig_count += 1
###################################################################################
# Column Processing #
###################################################################################
for logic_col in range(LOGIC_COL):
col_start = logic_col * (COL/LOGIC_COL)
col_end = col_start + (COL/LOGIC_COL)
# logging.info('col index: {} - {}'.format(col_start, col_end))
#hit counter/tot
# pix_mem_tot[col_start:col_end][pix_mem_tot[col_start:col_end] > 0] -= 1
# logging.info('pix tot: {}'.format(pix_mem_tot[col_start:col_end]))
# logging.info('pix tot>0 len: {}'.format(len(pix_mem_tot[col_start:col_end][pix_mem_tot[col_start:col_end] > 0])))
# logging.info('pix tot>0: {}'.format(pix_mem_tot[col_start:col_end][pix_mem_tot[col_start:col_end] > 0]))
#bx counter
pix_mem_bx[col_start:col_end][pix_mem_bx[col_start:col_end] > 0] += 1
# logging.info('pix bx: {}'.format(pix_mem_bx[col_start:col_end]))
# logging.info('pix bx>0 len: {}'.format(len(pix_mem_bx[col_start:col_end][pix_mem_bx[col_start:col_end] > 0])))
# logging.info('pix bx>0: {}'.format(pix_mem_bx[col_start:col_end][pix_mem_bx[col_start:col_end] > 0]))
#Late copy
late_copy += len(np.where(pix_mem_bx[col_start:col_end] == (PIXEL_MAX_LATENCY + 1))[0])# + pix_mem_tot[col_start:col_end]
if TRIGGER[bx] == False:
trig_mem[logic_col][trig_mem[logic_col] == LATENCY] = 0
trig_mem[logic_col][trig_mem[logic_col] > 0] += 1
#histogram
len_trig_mem_occ = len(np.nonzero(trig_mem[logic_col])[0])
trig_mem_hist[len_trig_mem_occ] += 1
# logging.info('trig mem status: {}'.format(np.nonzero(trig_mem[logic_col])[0]))
trig_mem_fill_mon[logic_col][bx] += len_trig_mem_occ
#process eoc
# logging.info('read_col_cnt[{}]: {}'.format(logic_col, read_col_cnt[logic_col]))
if read_col_cnt[logic_col] >= READ_COL-1:
max_bx_latency = np.amax(pix_mem_bx[col_start:col_end] - pix_mem_tot[col_start:col_end])
# logging.info('max bx latency for pix to read: {}'.format(max_bx_latency))
to_read_pix = np.where(((pix_mem_bx[col_start:col_end] - pix_mem_tot[col_start:col_end]) > 0) & ((pix_mem_bx[col_start:col_end] - pix_mem_tot[col_start:col_end]) == max_bx_latency))
# to_read_pix = np.where((pix_mem_bx[col_start:col_end] > 0) & (pix_mem_tot[col_start:col_end]==0))
to_read_pix[0][:] += col_start
# logging.info('to read pix: {}'.format(to_read_pix))
for read_pix in range(len(to_read_pix[0])): #something to read
# logging.info('pix to read {} - {}'.format(to_read_pix[0][read_pix], to_read_pix[1][read_pix]))
#TODO:Read regions?
empty_mems = np.where(trig_mem[logic_col] == 0)[0]
# logging.info('empty trig mem: {}'.format(empty_mems))
if len(empty_mems):
mem_loc = empty_mems[0]
if pix_mem_bx[to_read_pix[0][read_pix]][to_read_pix[1][read_pix]] < (PIXEL_MAX_LATENCY + 1):
# if pix_mem_bx[to_read_pix[0][read_pix]][to_read_pix[1][read_pix]] <= (PIXEL_MAX_LATENCY + pix_mem_tot[to_read_pix[0][read_pix]][to_read_pix[1][read_pix]]):
col_ro_delay_hist[pix_mem_bx[to_read_pix[0][read_pix]][to_read_pix[1][read_pix]]] += 1
val = pix_mem_bx[to_read_pix[0][read_pix]][to_read_pix[1][read_pix]]
# logging.info('col ro delay: {}'.format(pix_mem_bx[to_read_pix[0][read_pix]][to_read_pix[1][read_pix]]))
else:
print 'Pixel to read with large delay in logic column {} at bx {}'.format(logic_col, bx)
print pix_mem_bx[col_start:col_end][pix_mem_bx[col_start:col_end] > 0]
large_delay += 1
val = pix_mem_bx[to_read_pix[0][read_pix]][to_read_pix[1][read_pix]] % (PIXEL_MAX_LATENCY +1)
trig_mem[logic_col][mem_loc] = val
if WAIT_FOR_TRIG_MEM == True:
pix_mem_bx[to_read_pix[0][read_pix]][to_read_pix[1][read_pix]] = 0 #clear this pixel
pix_mem_tot[to_read_pix[0][read_pix]][to_read_pix[1][read_pix]] = 0
read_col_cnt[logic_col] = 0
else:
trig_mem_pileup += 1
if WAIT_FOR_TRIG_MEM == False:
pix_mem_bx[to_read_pix[0][read_pix]][to_read_pix[1][read_pix]] = 0 #clear this pixel
pix_mem_tot[to_read_pix[0][read_pix]][to_read_pix[1][read_pix]] = 0
read_col_cnt[logic_col] = 0
break
elif np.amax(pix_mem_bx[col_start:col_end] - pix_mem_tot[col_start:col_end]) > 0:
read_col_cnt[logic_col] += 1
# logging.info('occupied trig mem after matrix r.o.: {}'.format(np.nonzero(trig_mem[logic_col])[0]))
# process hits
for pix in hits_bx:
total_hits += 1
# logging.info('hit pix {} - {}'.format(pix['eta_index'], pix['phi_index']))
pix_hit_map[pix['eta_index']][pix['phi_index']] += 1
if (pix_mem_tot[pix['eta_index']][pix['phi_index']] - pix_mem_bx[pix['eta_index']][pix['phi_index']] >= 0) & (pix_mem_bx[pix['eta_index']][pix['phi_index']] > 0):
analog_pileup += 1 #Analog pielup
else:
if pix_mem_bx[pix['eta_index']][pix['phi_index']] > 0:
digital_pileup += 1 #Digital pielup
elif pix_mem_bx[pix['eta_index']][pix['phi_index']] == 0: #start bx_cnt
pix_mem_bx[pix['eta_index']][pix['phi_index']] = 1
# print 'charge for hit ({} {}): {}'.format(pix['eta_index'], pix['phi_index'], pix['charge'])
if int(TOT_SLOPE*pix['charge']) >= TOT_LIMIT:
hits_tot = TOT_LIMIT
else:
hits_tot = int(TOT_SLOPE*pix['charge'])
tot_hist[hits_tot] += 1
if int(TOT_SLOPE*pix['charge']) > PIXEL_MAX_LATENCY:
large_tot += 1
# print 'MP ToT:', np.amax(tot_hist)
# logging.info('ToT is: {}'.format(hits_tot))
pix_mem_tot[pix['eta_index']][pix['phi_index']] += hits_tot #paralyzable deadtime
# logging.info('tot assigned to pix ({} {}): {}'.format(pix['eta_index'], pix['phi_index'], pix_mem_tot[pix['eta_index']][pix['phi_index']]))
print 'large tot portion: {}%'.format(100*large_tot/total_hits)
print 'large col ro delay: {}%'.format(100*large_delay/total_hits)
sim_out = {'analog_pileup': analog_pileup,
'digital_pileup': digital_pileup,
'late_copy': late_copy,
'trig_mem_pileup': trig_mem_pileup,
'total_hits': total_hits,
'out_fifo_hist': out_fifo_hist,
'trig_mem_hist': trig_mem_hist,
'tot_hist': tot_hist,
'trig_count': trig_count,
'trig_mem_fill_mon': trig_mem_fill_mon,
'out_fifo_fill_mon': out_fifo_fill_mon,
'to_read_trig_mem_mon': to_read_trig_mem_mon,
'col_ro_delay_hist': col_ro_delay_hist,
'hits_per_bx': hits_per_bx,
'hit_rate': hit_rate,
'pix_hit_map': pix_hit_map
}
return sim_out
####################################################################################################################
####################################################################################################################
# Run #
####################################################################################################################
####################################################################################################################
if __name__ == "__main__":
#print (36.4*36.4*512*2)/(1000*1000)
mc_hits = np.load('sim_mc_pu200_36x36.npy')
print('MC data type: {}'.format(mc_hits.dtype))
total_event = np.amax(mc_hits['bcid'])
print 'total event: {}'.format(total_event)
mc_trigger = np.zeros((total_event + 1), dtype = bool)
# module 1 - 8 are quad, module 9 - 21 are double (inclined)
module_num = 1
module_hits = mc_hits[mc_hits['eta_module'] == module_num]
#eta_index = col, phi_index = row
row = 512
col = 2
chip_hits = module_hits[(module_hits['eta_index'] < col) & (module_hits['phi_index'] < row)]
hit_dtype = np.dtype([('bcid', np.uint64),
('eta_index', np.int32),
('phi_index', np.int32),
('charge', np.float64)
])
hits = np.empty((chip_hits.size,), dtype=hit_dtype)
hits['bcid'] = chip_hits['bcid']
hits['eta_index'] = chip_hits['eta_index']
hits['phi_index'] = chip_hits['phi_index']
hits['charge'] = chip_hits['charge']
print 'hits data type', hits.dtype
with open('mc_trigger.pickle', 'r') as infile:
mc_trigger = pickle.load(infile)
print mc_trigger
kwa = {'CHIP_HITS': hits,
'TRIGGER': mc_trigger,
'LATENCY': 400,
'TRIGGER_RATE': 4.0/40,
'PIXEL_AREA': 36.0*40.0,
'READ_COL': 2,
'ROW': row,
'COL': col,
'LOGIC_COL': col/2,
'READ_TRIG_MEM': 4,
'TRIG_MEM_SIZE': 128,
'READ_OUT_FIFO': 4,
'OUT_FIFO_SIZE': 8
}
sim_out_kwlist = ['analog_pileup',
'digital_pileup',
'late_copy',
'trig_mem_pileup',
'total_hits',
'out_fifo_hist',
'trig_mem_hist',
'tot_hist',
'trig_count',
'trig_mem_fill_mon',
'out_fifo_fill_mon',
'to_read_trig_mem_mon',
'col_ro_delay_hist',
'hits_per_bx',
'pix_hit_map']
sim_out = {kw: None for kw in sim_out_kwlist}
print sim_out
sim_out = monopix_sim(**kwa)
# print sim_out
print ('hit rate: {}'.format(sim_out['hit_rate']))
print ('analog pileup: {}%'.format(100*sim_out['analog_pileup']/sim_out['total_hits']))
print ('digital pileup: {}%'.format(100*sim_out['digital_pileup']/sim_out['total_hits']))
print ('late copy: {}%'.format(100*sim_out['late_copy']/sim_out['total_hits']))
print ('trig mem pileup: {}%'.format(100*sim_out['trig_mem_pileup']/sim_out['total_hits']))
print ('total hits: {}'.format(sim_out['total_hits']))
print ('trig count: {}'.format(sim_out['trig_count']))
plt.subplot(221)
plt.bar(range(len(sim_out['tot_hist'])), sim_out['tot_hist'], label = 'MC data')
plt.title('ToT histogram')
plt.subplot(222)
plt.hist(sim_out['hits_per_bx'], bins = 19, range = [0, 20], label = 'MC data')
plt.title('Hits per BX')
plt.subplot(223)
plt.bar(range(len(sim_out['trig_mem_hist'])),sim_out['trig_mem_hist'], label = 'MC data')
plt.title('Trig. mem. occupancy')
plt.show()
# print 'digital pileup @ %d*100MHz/cm2: '%hit_rate, (100*digital_pileup/total_hits)
# print 'late copy @ %d*100MHz/cm2: '%hit_rate, (100*late_copy/total_hits)
# print 'trig mem pileup @ %d*100MHz/cm2: '%hit_rate, (100*trig_mem_pileup/total_hits)
# print 'total hits @ %d*100MHz/cm2: '%hit_rate, total_hits
# print 'trig count @ %d*100MHz/cm2: '%hit_rate, trig_count