-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy patharch_sim_MC_20180418.py
402 lines (337 loc) · 18.8 KB
/
arch_sim_MC_20180418.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
#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 = 128 # 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][np.where(pix_mem_tot[col_start:col_end] == 0)])
# 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] > 0) & (pix_mem_tot[col_start:col_end]==0) & (pix_mem_bx[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):
# 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'
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
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
read_col_cnt[logic_col] = 0
break
elif np.amax(pix_mem_bx[col_start:col_end][np.where(pix_mem_tot[col_start:col_end] == 0)]) > 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']] > 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