33 |
strange(i,j,k)=1 !initializes unusually high or low signal |
strange(i,j,k)=1 !initializes unusually high or low signal |
34 |
enddo ! affected strips flag |
enddo ! affected strips flag |
35 |
|
|
36 |
|
c------------------------------------------------------------------------ |
37 |
|
c (september 2007) |
38 |
|
c remove from CN computation the first and the last 3 channels of |
39 |
|
c each X view, becouse they ar not connected to any strip |
40 |
|
c------------------------------------------------------------------------ |
41 |
|
if(mod(i,2).eq.0)then |
42 |
|
if(j.eq.1)then |
43 |
|
do k=1,3 |
44 |
|
strange(i,j,k)=0 |
45 |
|
enddo |
46 |
|
elseif(j.eq.nva1_ladder)then |
47 |
|
do k=nstrips_va1,nstrips_va1-2,-1 |
48 |
|
strange(i,j,k)=0 |
49 |
|
enddo |
50 |
|
endif |
51 |
|
endif |
52 |
|
|
53 |
newclstr=1 !flag to warn about new found signal |
newclstr=1 !flag to warn about new found signal |
54 |
c ! affected strips |
c ! affected strips |
55 |
c------------------------------------------------------------------------ |
c------------------------------------------------------------------------ |
68 |
|
|
69 |
do k=1,nstrips_va1 |
do k=1,nstrips_va1 |
70 |
nstr = nstr + strange(i,j,k) !uses only |
nstr = nstr + strange(i,j,k) !uses only |
71 |
if(mod(i,2).eq.1) then !odd strip ---> Y view |
if(mod(i,2).eq.1) then ! ---> Y view |
72 |
signal(k) = - (DBLE(adc(i,j,k)) - pedestal(i,j,k)) !negative signal |
signal(k) = - (DBLE(adc(i,j,k)) - pedestal(i,j,k)) !negative signal |
73 |
else !even strip ---> X view |
else ! ---> X view |
74 |
signal(k) = DBLE(adc(i,j,k)) - pedestal(i,j,k) !positive signal |
signal(k) = DBLE(adc(i,j,k)) - pedestal(i,j,k) !positive signal |
75 |
endif |
endif |
76 |
smean = smean + signal(k)*strange(i,j,k) |
smean = smean + signal(k)*strange(i,j,k) |
77 |
ssigma = ssigma + (signal(k)**2)*strange(i,j,k) |
ssigma = ssigma + (signal(k)**2)*strange(i,j,k) |
78 |
enddo |
enddo |
79 |
|
|
80 |
smean=smean/nstr !strips value distribution mean |
smean=smean/nstr !strips value distribution mean |
|
|
|
81 |
ssigma=SQRT((ssigma/nstr)-smean**2) !strips value distribution sigma |
ssigma=SQRT((ssigma/nstr)-smean**2) !strips value distribution sigma |
82 |
|
|
83 |
cut=scut*ssigma !exclusion cut |
cut=scut*ssigma !exclusion cut |
173 |
|
|
174 |
ncn=0 !number of strips in cn computation |
ncn=0 !number of strips in cn computation |
175 |
cn(i,j)=0 !initializes cn variable |
cn(i,j)=0 !initializes cn variable |
176 |
|
cnrms(i,j)=0 !initializes cn rms |
177 |
cnn(i,j)=0 !initialize cn flag |
cnn(i,j)=0 !initialize cn flag |
178 |
|
|
179 |
do k=1,nstrips_va1 !loops on strips |
do k=1,nstrips_va1 !loops on strips |
180 |
* tags strange, bad or signal-affected strips |
* tags strange, bad or signal-affected strips |
181 |
iok = strange(i,j,k)*bad(i,j,k)*clstr(i,j,k) |
iok = strange(i,j,k)*bad(i,j,k)*clstr(i,j,k) |
182 |
cn(i,j) = cn(i,j) + (DBLE(adc(i,j,k)) - pedestal(i,j,k))*iok |
cn(i,j) = cn(i,j) + (DBLE(adc(i,j,k)) - pedestal(i,j,k))*iok |
183 |
|
cnrms(i,j) = cnrms(i,j) |
184 |
|
$ + (DBLE(adc(i,j,k)) - pedestal(i,j,k)) |
185 |
|
$ *(DBLE(adc(i,j,k)) - pedestal(i,j,k))*iok |
186 |
ncn = ncn + iok !counts number of strips in cn computation |
ncn = ncn + iok !counts number of strips in cn computation |
187 |
enddo |
enddo |
188 |
|
|
189 |
if(ncn.lt.NSTRIPMIN) then !no signal free strips on this VA1... |
if(ncn.lt.NSTRIPMIN) then !no signal free strips on this VA1... |
190 |
if(ncn.eq.0)then |
if(ncn.eq.0)then |
191 |
if(debug)print*,' WARNING - cnoise: ', |
if(debug.eq.1)print*,' WARNING - cnoise: ', |
192 |
$ 'no strips for CN computation on VA1 ',j, |
$ 'no strips for CN computation on VA1 ',j, |
193 |
$ ', VIEW ',i,' >>> FAILED ' |
$ ', VIEW ',i,' >>> FAILED ' |
194 |
else |
else |
195 |
if(debug)print*,' WARNING - cnoise: ', |
if(debug.eq.1)print*,' WARNING - cnoise: ', |
196 |
$ 'less than ',NSTRIPMIN |
$ 'less than ',NSTRIPMIN |
197 |
$ ,' strips for CN computation on VA1 ',j, |
$ ,' strips for CN computation on VA1 ',j, |
198 |
$ ', VIEW ',i,' >>> FAILED ' |
$ ', VIEW ',i,' >>> FAILED ' |
201 |
cnn(i,j) = 0 |
cnn(i,j) = 0 |
202 |
else |
else |
203 |
cn(i,j)=cn(i,j)/DBLE(ncn) !<<<< computes common noise |
cn(i,j)=cn(i,j)/DBLE(ncn) !<<<< computes common noise |
204 |
|
cnrms(i,j)= SQRT( cnrms(i,j)/DBLE(ncn) - cn(i,j)**2 ) |
205 |
cnn(i,j) = ncn |
cnn(i,j) = ncn |
206 |
gulp=0 |
gulp=0 |
207 |
if(verbose.and.ABS(cn(i,j)).gt.1000) |
c$$$ print*,'Event ',eventn(1) |
208 |
|
c$$$ $ ,': cn(',i,',',j,')= ',cn(i,j),' ncn ',ncn |
209 |
|
|
210 |
|
if(debug.eq.1.and.ABS(cn(i,j)).gt.1000) |
211 |
$ print*,'Event ',eventn(1) |
$ print*,'Event ',eventn(1) |
212 |
$ ,': cn(',i,',',j,')= ',cn(i,j),' ncn ',ncn |
$ ,': cn(',i,',',j,')= ',cn(i,j),' ncn ',ncn |
213 |
endif |
endif |