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|
subroutine sample_full(ndim,ncall,itmax,itmin,dsig,ninvar,nconfigs)
c**************************************************************************
c Driver for sample which does complete integration
c This is done in double precision, and should be told the
c number of possible phasespace choices.
c Arguments:
c ndim Number of dimensions for integral(number or random #'s/point)
c ncall Number of times to evaluate the function/iteration
c itmax Max number of iterations
c itmin Min number of iterations
c ninvar Number of invarients to keep grids on (s,t,u, s',t' etc)
c nconfigs Number of different pole configurations
c dsig Function to be integrated
c**************************************************************************
implicit none
include 'genps.inc'
c
c Arguments
c
integer ndim,ncall,itmax,itmin,ninvar,nconfigs
external dsig
double precision dsig
c
c Local
c
double precision x(maxinvar),wgt,p(4*maxdim/3+14)
double precision tdem, chi2, dum
integer ievent,kevent,nwrite,iter,nun,luntmp,itsum
integer jmax,i,j,ipole
integer itmax_adjust
c
c External
c
integer n_unwgted
external n_unwgted
c
c Global
c
integer nsteps
character*40 result_file,where_file
common /sample_status/result_file,where_file,nsteps
double precision fx
common /to_fx/ fx
integer mincfig, maxcfig
common/to_configs/mincfig, maxcfig
double precision xmean(99),xsigma(99),xwmax(99),xeff(99), xrmean(99)
common/to_iterations/xmean, xsigma, xwmax, xeff, xrmean
double precision accur
common /to_accuracy/accur
double precision twgt, maxwgt,swgt(maxevents)
integer lun, nw, itminx
common/to_unwgt/twgt, maxwgt, swgt, lun, nw, itminx
integer nzoom
double precision tx(1:3,maxinvar)
common/to_xpoints/tx, nzoom
double precision xzoomfact
common/to_zoom/ xzoomfact
double precision tmean, trmean, tsigma
integer dim, events, itm, kn, cur_it, invar, configs
common /sample_common/
. tmean, trmean, tsigma, dim, events, itm, kn, cur_it, invar, configs
integer use_cut
common /to_weight/use_cut
integer icor
common/to_correlated/icor
integer neventswritten
common /to_eventswritten/ neventswritten
integer th_nunwgt
double precision th_maxwgt
common/theoretical_unwgt_max/th_maxwgt, th_nunwgt
c
c External
c
logical pass_point
integer NEXTUNOPEN
c
c Data
c
data result_file,where_file,nsteps/'SAMPLE','WHERE.AMI',100/
data accur/-1d0/
data mincfig /1/
data maxcfig /1/
data twgt/-1d0/ !Dont write out events
data lun/27/ !Unit number for events
data maxwgt/0d0/
data nw/0/ !Number of events written
c-----
c Begin Code
c-----
ievent = 0
kevent = 0
nzoom = 0
xzoomfact = 1d0
itminx = itmin
if (nsteps .lt. 1) nsteps=1
nwrite = itmax*ncall/nsteps
C Fix for 2>1 process where ndim is 2 and not 1
ninvar = max(2,ninvar)
call sample_init(ndim,ncall,itmax,ninvar,nconfigs)
call graph_init
do i=1,itmax
xmean(i)=0d0
xsigma(i)=0d0
enddo
c mincfig=1
c maxcfig=nconfigs
wgt = 0d0
c
c Main Integration Loop
c
iter = 1
do while(iter .le. itmax)
c
c Get integration point
c
call sample_get_config(wgt,iter,ipole)
if (iter .le. itmax) then
ievent=ievent+1
call x_to_f_arg(ndim,ipole,mincfig,maxcfig,ninvar,wgt,x,p)
if (pass_point(p)) then
fx = dsig(p,wgt,0) !Evaluate function
wgt = wgt*fx
if (wgt .ne. 0d0) call graph_point(p,wgt) !Update graphs
else
fx =0d0
wgt=0d0
endif
call sample_put_point(wgt,x(1),iter,ipole,itmin) !Store result
endif
if (wgt .ne. 0d0) kevent=kevent+1
c
c Write out progress/histograms
c
if (kevent .ge. nwrite) then
nwrite = nwrite+ncall*itmax/nsteps
nwrite = min(nwrite,ncall*itmax)
call graph_store
endif
99 enddo
c
c All done
c
tmean = 0d0
trmean = 0d0
tsigma = 0d0
tdem = 0d0
open(unit=66,file='results.dat',status='unknown')
i=1
do while(xmean(i) .ne. 0 .and. i .lt. cur_it)
i=i+1
enddo
cur_it = i
c Use the last 3 iterations or cur_it-1 if cur_it-1 >= itmin but < 3
itsum = min(max(itmin,cur_it-1),3)
i = cur_it - itsum
if (i .gt. 0) then
tmean = 0d0
trmean = 0d0
tsigma = 0d0
tdem = 0d0
do while (xmean(i) .ne. 0 .and. i .lt. cur_it)
tmean = tmean+xmean(i)*xmean(i)**2/xsigma(i)**2
trmean = trmean+xrmean(i)*xmean(i)**2/xsigma(i)**2
tdem = tdem+xmean(i)**2/xsigma(i)**2
tsigma = tsigma + xmean(i)**2/ xsigma(i)**2
i=i+1
enddo
tmean = tmean/tsigma
trmean = trmean/tsigma
tsigma= tmean/sqrt(tsigma)
c nun = n_unwgted()
nun = neventswritten
chi2 = 0d0
do i = cur_it-itsum,cur_it-1
chi2 = chi2+(xmean(i)-tmean)**2/xsigma(i)**2
enddo
chi2 = chi2/2d0 !Since using only last 3, n-1=2
write(*,'(a)') '-------------------------------------------------'
write(*,'(a)') '---------------------------'
write(*,'(a,i3,a,e12.4)') ' Results Last ',itsum,
$ ' iters: Integral = ',trmean
write(*,'(21x,a,e12.4)') 'Abs integral = ',tmean
write(*,'(26x,a,e12.4)') 'Std dev = ',tsigma
write(*,'(18x,a,f12.4)') 'Chi**2 per DoF. =',chi2
write(*,'(a)') '-------------------------------------------------'
write(*,'(a)') '---------------------------'
if (nun .lt. 0) nun=-nun !Case when wrote maximun number allowed
if (chi2 .gt. 1) tsigma=tsigma*sqrt(chi2)
c JA 02/2011 Added twgt to results.dat to allow event generation in
c first iteration for gridpack runs
C OM 02/2015 Added maxwgt (target of the secondary unweight) to allow splitted
C generation of event.
if (icor .eq. 0) then
write(66,'(3e12.5,2i9,i5,i9,e10.3,e12.5,3e13.5,i9)')tmean,tsigma, 0.0,
& kevent, nw, cur_it-1, nun, nun/max(tmean,1d-99), twgt, trmean,
& maxwgt, th_maxwgt, th_nunwgt
else
write(66,'(3e12.5,2i9,i5,i9,e10.3,e12.5,3e13.5,i9)')tmean,0.0,tsigma,
& kevent, nw, cur_it-1, nun, nun/max(tmean,1d-99), twgt, trmean,
& maxwgt, th_maxwgt, th_nunwgt
endif
c do i=1,cur_it-1
do i=cur_it-itsum,cur_it-1
write(66,'(i4,5e15.5)') i,xmean(i),xsigma(i),xeff(i),xwmax(i),xrmean(i)
enddo
c Write out MadLoop statistics, if any
call output_run_statistics(66)
flush(66)
close(66, status='KEEP')
else
open(unit=66,file='results.dat',status='unknown')
write(66,'(3e12.5,2i9,i5,i9,5e10.3,i9)')0.,0.,0.,kevent,nw,
& 1,0,0.,0.,0.,0.,0.,0
write(66,'(i4,5e15.5)') 1,0.,0.,0.,0.,0.
c Write out MadLoop statistics, if any
call output_run_statistics(66)
flush(66)
close(66, status='KEEP')
endif
c
c Now let's check to see if we got all of the events we needed
c if not, will give it another try with 5 iterations to set
c the grid, and 4 more to try and get the appropriate number of
c unweighted events.
c
write(*,*) "Status",accur, cur_it, itmax
if (accur .ge. 0d0 .or. cur_it .gt. itmax+3) then
return
endif
c Check for neventswritten and chi2 (JA 8/17/11 lumi*mean xsec)
if (neventswritten .gt. -accur*tmean .and. chi2 .lt. 10d0) then
write(*,*) "We found enough events",neventswritten, -accur*tmean
return
endif
c
c Need to start from scratch. This is clunky but I'll just
c remove the grid, so we are clean
c
write(*,*) "Trying w/ fresh grid"
open(unit=25,file='ftn25',status='unknown',err=102)
write(25,*) ' '
102 close(25)
c
c First few iterations will allow the grid to adjust
c
c
c Reset counters
c
ievent = 0
kevent = 0
nzoom = 0
xzoomfact = 1d0
ncall = ncall*4 ! / 2**(itmax-2)
write(*,*) "Starting w/ ncall = ", ncall
itmax = 8
call sample_init(ndim,ncall,itmax,ninvar,nconfigs)
do i=1,itmax
xmean(i)=0d0
xsigma(i)=0d0
enddo
wgt = 0d0
call clear_events
call set_peaks
c
c Main Integration Loop
c
iter = 1
c itmax = 8
itmax_adjust = 5
use_cut = 2 !Start adjusting grid
do while(iter .le. itmax)
if (iter .gt. itmax_adjust .and. use_cut .ne. 0) then
use_cut=0 !Fix grid
write(*,*) 'Fixing grid'
endif
c
c Get integration point
c
call sample_get_config(wgt,iter,ipole)
if (iter .le. itmax) then
ievent=ievent+1
call x_to_f_arg(ndim,ipole,mincfig,maxcfig,ninvar,wgt,x,p)
if (pass_point(p)) then
xzoomfact = 1d0
fx = dsig(p,wgt,0) !Evaluate function
if (xzoomfact .gt. 0d0) then
wgt = wgt*fx*xzoomfact
else
wgt = -xzoomfact
endif
if (wgt .gt. 0d0) call graph_point(p,wgt) !Update graphs
else
fx =0d0
wgt=0d0
endif
if (nzoom .le. 0) then
call sample_put_point(wgt,x(1),iter,ipole,itmin) !Store result
else
nzoom = nzoom -1
ievent=ievent-1
endif
endif
if (wgt .gt. 0d0) kevent=kevent+1
199 enddo
c
c All done
c
open(unit=66,file='results.dat',status='unknown')
i=1
do while(xmean(i) .ne. 0 .and. i .lt. cur_it)
i=i+1
enddo
cur_it = i
c Use the last 3 iterations or cur_it-1 if cur_it-1 >= itmin
itsum = min(max(itmin,cur_it-1),3)
i = cur_it - itsum
if (i .gt. 0) then
tmean = 0d0
trmean = 0d0
tsigma = 0d0
tdem = 0d0
do while (xmean(i) .ne. 0 .and. i .lt. cur_it)
tmean = tmean+xmean(i)*xmean(i)**2/xsigma(i)**2
trmean = trmean+xrmean(i)*xmean(i)**2/xsigma(i)**2
tdem = tdem+xmean(i)**2/xsigma(i)**2
tsigma = tsigma + xmean(i)**2/ xsigma(i)**2
i=i+1
enddo
tmean = tmean/tsigma
trmean = trmean/tsigma
tsigma= tmean/sqrt(tsigma)
c nun = n_unwgted()
c
c tjs 8/7/2007
c
nun = neventswritten
chi2 = 0d0
do i = cur_it-itsum,cur_it-1
chi2 = chi2+(xmean(i)-tmean)**2/xsigma(i)**2
enddo
chi2 = chi2/2d0 !Since using only last 3, n-1=2
write(*,'(a)') '-------------------------------------------------'
write(*,'(a)') '---------------------------'
write(*,'(a,i3,a,e12.4)') ' Results Last ',itsum,
$ ' iters: Integral = ',trmean
write(*,'(21x,a,e12.4)') 'Abs integral = ',tmean
write(*,'(25x,a,e12.4)') 'Std dev = ',tsigma
write(*,'(17x,a,f12.4)') 'Chi**2 per DoF. =',chi2
write(*,'(a)') '-------------------------------------------------'
write(*,'(a)') '---------------------------'
if (nun .lt. 0) nun=-nun !Case when wrote maximun number allowed
if (chi2 .gt. 1) tsigma=tsigma*sqrt(chi2)
c JA 02/2011 Added twgt to results.dat to allow event generation in
c first iteration for gridpack runs +02/2015 maxwgt
if (icor .eq. 0) then
write(66,'(3e12.5,2i9,i5,i9,e10.3,e12.5,3e13.5, i9)')tmean,tsigma,0.0,
& kevent, nw, cur_it-1, nun, nun/max(tmean,1d-99), twgt,trmean,
& maxwgt, th_maxwgt, th_nunwgt
else
write(66,'(3e12.5,2i9,i5,i9,e10.3,e12.5,3e13.5,i9)')tmean,0.0,tsigma,
& kevent, nw, cur_it-1, nun, nun/max(tmean,1d-99), twgt,trmean,
& maxwgt, th_maxwgt, th_nunwgt
endif
c do i=1,cur_it-1
do i=cur_it-itsum,cur_it-1
write(66,'(i4,5e15.5)') i,xmean(i),xsigma(i),xeff(i),xwmax(i),xrmean(i)
enddo
c Write out MadLoop statistics, if any
call output_run_statistics(66)
flush(66)
close(66, status='KEEP')
else
open(unit=66,file='results.dat',status='unknown')
write(66,'(3e12.5,2i9,i5,i9,5e10.3,i9)')0.,0.,0.,kevent,nw,
& 1,0,0.,0.,0.,0.,0.,0
write(66,'(i4,5e15.5)') 1,0.,0.,0.,0.,0.
c Write out MadLoop statistics, if any
call output_run_statistics(66)
flush(66)
close(66, status='KEEP')
endif
end
subroutine output_run_statistics(outUnit)
c***********************************************************************
c Writes out the madloop runtime statistics to the unit in argument
c***********************************************************************
use StringCast
implicit none
c
c Arguments
c
integer outUnit
C
C Local
C
double precision t_after
c
c Global
c
INTEGER U_RETURN_CODES(0:9)
INTEGER T_RETURN_CODES(0:9)
INTEGER H_RETURN_CODES(0:9)
DOUBLE PRECISION AVG_TIMING
DOUBLE PRECISION MAX_PREC, MIN_PREC
INTEGER N_EVALS
DATA U_RETURN_CODES/10*0/
DATA T_RETURN_CODES/10*0/
DATA H_RETURN_CODES/10*0/
DATA MAX_PREC /-1.0d0/
DATA MIN_PREC /1.0d99/
DATA AVG_TIMING/0.0d0/
DATA N_EVALS/0/
COMMON/MADLOOPSTATS/AVG_TIMING,MAX_PREC,MIN_PREC,N_EVALS,
& U_RETURN_CODES,T_RETURN_CODES,H_RETURN_CODES
DOUBLE PRECISION CUMULATED_TIMING
DATA CUMULATED_TIMING/0.0d0/
COMMON/GENERAL_STATS/CUMULATED_TIMING
c-----
c Begin Code
c-----
call cpu_time(t_after)
CUMULATED_TIMING = t_after - CUMULATED_TIMING
if (N_EVALS.eq.0) then
return
endif
write(outUnit,*) '<run_statistics> '
write(outUnit,33) '<u_return_code>',U_RETURN_CODES,'</u_return_code>'
write(outUnit,33) '<t_return_code>',T_RETURN_CODES,'</t_return_code>'
write(outUnit,33) '<h_return_code>',H_RETURN_CODES,'</h_return_code>'
write(outUnit,*) '<average_time>'//trim(toStr_real(AVG_TIMING))
& //'</average_time>'
write(outUnit,*) '<cumulated_time>'//trim(toStr_real(CUMULATED_TIMING))
& //'</cumulated_time>'
write(outUnit,*) '<max_prec>'//trim(toStr_real(MAX_PREC))//'</max_prec>'
write(outUnit,*) '<min_prec>'//trim(toStr_real(MIN_PREC))//'</min_prec>'
write(outUnit,*) '<n_evals>'//trim(toStr_int(N_EVALS))//'</n_evals>'
write(outUnit,*) '</run_statistics>'
33 FORMAT( a15,i12,',',i12',',i12',',i12',',i12',
& ',i12',',i12',',i12',',i12',',i12,a16)
end subroutine
subroutine sample_writehtm()
c***********************************************************************
c Writes out results of run in html format
c***********************************************************************
implicit none
c
c Constants
c
character*(*) htmfile
parameter (htmfile='results.html')
integer lun
parameter (lun=26)
c
c Local
c
character*4 cpref
double precision scale
integer i
c
c Global
c
double precision xmean(99),xsigma(99),xwmax(99),xeff(99), xrmean(99)
common/to_iterations/xmean, xsigma, xwmax, xeff, xrmean
c-----
c Begin Code
c-----
return
c
c Here we determine the appropriate units. Assuming the results
c were written in picobarns
c
if (xmean(1) .ge. 1e4) then !Use nano barns
scale=1d-3
cpref='(nb)'
elseif (xmean(1) .ge. 1e1) then !Use pico barns
scale=1d0
cpref='(pb)'
else !Use fempto
scale=1d+3
cpref='(fb)'
endif
open(unit=lun,file=htmfile,status='unknown',err=999)
write(lun,50) '<head><title>Results_head</title></head>'
write(lun,50) '<body><h2>Results for Process</h2>'
write(lun,50) '<table border>'
write(lun,50) '<Caption> Caption Results'
write(lun,49) '<tr><th>Iteration</th>'
write(lun,48)'<th>Cross Sect',cpref,'</th><th>Error',cpref,'</th>'
write(lun,49) '<th>Events (K)</th><th>Eff</th>'
write(lun,50) '<th>Wrote</th><th>Unwgt</th></tr>'
c write(lun,60) '<tr><th>AVG</th><th>',xtot*scale
c $ ,'</th><th>',errtot*scale,'</th><th align=right>',
c $ ntot/1000,'</th><th align=right>',teff,'</th></tr>'
i=1
do while(xmean(i) .gt. 0d0)
write(lun,'(a)') '<tr>'
write(lun,45) '<td align=right>',i,'</tr>'
write(lun,46) '<td align=right>',xmean(i)*scale,'</td>'
write(lun,46) '<td align=right>',xsigma(i)*scale,'</td>'
write(lun,46) '<td align=right>',xeff(i)*scale,'</td>'
write(lun,'(a)') '</tr>'
i=i+1
enddo
write(lun,50) '</table></body>'
999 close(lun)
45 format(a,i4,a)
46 format(a,f12.3,a)
48 format(a,a,a,a)
49 format(a)
50 format(a)
end
subroutine sample_init(p1, p2, p3, p4, p5)
c************************************************************************
c Initialize grid and random number generators
c************************************************************************
implicit none
c
c Constants
c
include 'genps.inc'
include 'maxconfigs.inc'
include 'run.inc'
c
c Arguments
c
integer p1, p2, p3, p4, p5
c
c Local
c
integer i, j
integer get_maxsproc
logical fopened
c
c Global
c
double precision force_max_wgt
common/unwgt_secondary_max/force_max_wgt
integer nsteps
character*40 result_file,where_file
common /sample_status/result_file,where_file,nsteps
double precision tmean, trmean, tsigma
integer dim, events, itm, kn, cur_it, invar, configs
common /sample_common/
. tmean, trmean, tsigma, dim, events, itm, kn, cur_it, invar, configs
double precision grid(2, ng, 0:maxinvar)
common /data_grid/ grid
integer Minvar(maxdim,lmaxconfigs)
common /to_invar/ Minvar
double precision psect(maxconfigs),alpha(maxconfigs)
common/to_mconfig2/psect ,alpha
logical first_time
common/to_first/first_time
integer use_cut
common /to_weight/use_cut
integer ituple
common /to_random/ituple
logical flat_grid
common/to_readgrid/flat_grid !Tells if grid read from file
double precision twgt, maxwgt,swgt(maxevents)
integer lun, nw, itminx
common/to_unwgt/twgt, maxwgt, swgt, lun, nw, itminx
integer icor
common/to_correlated/icor
logical zooming
common /to_zoomchoice/zooming
logical read_grid_file
data read_grid_file/.False./
common/read_grid_file/read_grid_file
data use_cut/2/ !Grid: 0=fixed , 1=standard, 2=non-zero
data ituple/1/ !1=htuple, 2=sobel
data Minvar(1,1)/-1/ !No special variable mapping
c-----
c Begin Code
c-----
icor = 0
If (use_cut .eq. 0) then
icor = 1 !Assume correlated unless grid read
print*,'Keeping grid fixed.'
elseif(use_cut .eq. 1) then
print*,'Using standard SAMPLE grid deformation.'
elseif(use_cut .eq. 2) then
print*,'Using non-zero grid deformation.'
elseif(use_cut .eq. 3) then
print*,'Using fluctuation for grid deformation.'
elseif(use_cut .eq. 4) then
print*,'Generating unweighted event shape.'
elseif(use_cut .eq. 5) then
print*,'Using constant plus linear grid deformation.'
elseif(use_cut .eq. 6) then
print*,'Using power law grid deformation.'
else
print*,'Using unknown grid deformation:',use_cut
endif
c open(unit=22,file=result_file,status='unknown')
c write(22,*) 'Sample Status ',p2,p3,nsteps
c close(22)
c open(unit=22,file=where_file,status='unknown')
c write(22,*) 'Sample Progress ',p2,p3,nsteps
c close(22)
dim = p1
events = p2
itm = p3
invar = p4
configs = p5
first_time = .true.
if (dim .gt. maxdim) then
write(*,*) 'Too many dimensions requested from Sample()'
stop
endif
c if (dim .gt. invar) then
c write(*,*) 'Too many dimensions dim > invar',dim,invar
c stop
c endif
if (p4 .gt. maxinvar) then
write(*,*) 'Too many invarients requested from Sample()',p4
stop
endif
if (p5 .gt. maxconfigs) then
write(*,*) 'Too many configs requested from Sample()',p5
stop
endif
write(*,'(i3,a,i7,a,i3,a,i3,a,i3,a)') dim, ' dimensions', events,
& ' events',p4,' invarients',itm, ' iterations',
& p5,' config(s), (0.99)'
if (ituple .eq. 1) then
print*,'Using h-tuple random number sequence.'
elseif (ituple .eq. 2) then
print*,'Using Sobel quasi-random number sequence.'
write(*,*) 'Sorry cant use sobel'
stop
c call isobel(dim)
else
print*,'Unknown random number generator',ituple
endif
c
c See if need mapping between dimensions in different configurations
c (ie using s,t,u type invarients)
c
if (Minvar(1,1) .eq. -1) then
print*,'No invarient mapping defined, using 1 to 1.'
do i=1,configs
do j=1,dim
Minvar(j,i) = j+(i-1)*dim
enddo
enddo
endif
c
c Reset counters
c
tmean = 0d0
trmean = 0d0
tsigma = 0d0
kn = 0
cur_it = 1
do j=1,ng
grid(2,j,0) = xgmin+(xgmax-xgmin)*j/dble(ng)
enddo
c
c Try to read grid from file
c
flat_grid=.true.
call open_file_local(25, 'ftn25', fopened)
if (.not.fopened)then
goto 102
endif
! open(unit=25,file='ftn25',status='unknown',err=102)
read(25,*, err=1011, end=1012)
. ((grid(2,i,j),i=1,ng),j=1,invar)
read(25,*) twgt, force_max_wgt
call read_discrete_grids(25)
write(*,*) 'Grid read from file'
read_grid_file=.true.
flat_grid=.false.
close(25)
c
c Determine weighting for each configuration
c
if (.not. flat_grid) icor = 0 !0 = not correlated
zooming = (.not. flat_grid .and. use_cut .eq. 0) !only zoom if grid already adjusted and not changing more
c
c tjs 5/22/07 turn off zooming
c
zooming = .false.
if (configs .eq. 1) then
do i=1,maxconfigs
alpha(i) = 1
enddo
else
write(*,*) 'Using uniform alpha',alpha(1)
c tot=0d0
c do i=1,configs
c tot=tot+alpha(i)
c enddo
do i=1,maxconfigs
if(i .le. configs) then
alpha(i)=1d0/dble(configs)
else
alpha(i)=0d0
endif
enddo
endif
goto 103
1011 write(*,*) 'fail to open file'
goto 101
1012 write(*,*) 'fail to read data'
goto 101
101 close(25)
c write(*,*) 'Tried reading it',i,j
102 write(*,*) 'Error opening grid'
c
c Unable to read grid, using uniform grid and equal points in
c each configuration
c
read_grid_file=.false.
write(*,*) 'Using Uniform Grid!', maxinvar
force_max_wgt = -1d0
do j = 1, maxinvar
do i = 1, ng
grid(2, i, j) = xgmin+ (xgmax-xgmin)*(i / dble(ng))**1
end do
end do
do j=1,maxconfigs
if (j .le. configs) then
alpha(j)=1d0/dble(configs)
else
alpha(j)=0d0
endif
enddo
write(*,*) 'Using uniform alpha',alpha(1)
c write(*,*) 'Forwarding random number generator'
103 write(*,*) 'Grid defined OK'
C sanity check that we have a minimal number of event
if ( MC_GROUPED_SUBPROC )then
events = max(events, maxtries)
else
events = max(events, 2*maxtries*get_maxsproc())
endif
end
subroutine setgrid(j,xo,a,itype)
c*************************************************************************
c Presets the grid for a 1/(x-a)^itype distribution down to xo
c*************************************************************************
implicit none
c
c Constants
c
include 'genps.inc'
c
c Arguments
c
integer j, itype !grid number
double precision xo !minimum value
double precision a !offset for peak
c
c Local
c
integer i,k
integer ngu, ngd
c
c Global
c
double precision grid(2, ng, 0:maxinvar)
common /data_grid/ grid
logical flat_grid
common/to_readgrid/flat_grid !Tells if grid read from file
c-----
c Begin Code
c-----
if (flat_grid) then
if (itype.gt.1) then
write(*,'(a,i4,2e15.5,i4)') 'Setting grid',j,xo,a,itype
if (a .ge. xo) then
write(*,*) 'Can not integrate over singularity'
write(*,*) 'Set grid',j,xo,a
return
endif
else
write(*,'(a,i4,1e15.5,i4)') 'Setting grid',j,xo,itype
endif
c grid(2,1,j) = xo
grid(2,ng,j)=xgmax
if (itype .eq. 1) then
c
c We'll use most for the peak, but save some for going down
c
ngu = ng *0.9
ngd = ng-ngu
do i=1,ngu-1
c-------------------
c tjs 6/30/2009; tjs & ja 2/25/2011
c New form for setgrid
c-------------------
c grid(2,i+ngd,j)=((1d0-a)/(xo-a))**(1d0-dble(i)/dble(ngu))
c grid(2,i+ngd,j)=1d0/grid(2,i+ngd,j)+a
c grid(2,i+ngd,j) = xo + ((dble(i)+xo-a)/(dble(ngu)+xo-a))**2
grid(2,i+ngd,j) = xo**(1-dble(i)/dble(ngu))
enddo
c
c Now lets go down the other side
c
grid(2,ngd,j) = xo
do i=1,ngd-1
c grid(2,i,j) = ((1d0-a)/(xo-a))**(1d0-dble(i)/dble(ngd))
grid(2,ngd-i,j) = xo-(grid(2,ngd+i,j)-xo)
if (grid(2,ngd-i,j) .lt. -1d0) then
write(*,*) 'Error grid set too low',grid(2,ngd-i,j)
do k=1,ng
write(*,*) k,grid(2,k,j)
enddo
stop
endif
enddo
c
c tjs, ja 2/25/11
c Make sure sample all the way down to zero only if minimum positive
c
if (grid(2,1,j) .gt. 0) grid(2,1,j) = 0d0
c write(*,*) "Adjusted bin 1 to zero"
elseif (itype .eq. 2) then
do i=2,ng-1
grid(2,i,j)=(1d0/(xo-a))*(1d0-dble(i)/dble(ng))+
$ (dble(i)/dble(ng))*(1d0/(1d0-a))
grid(2,i,j)=1d0/grid(2,i,j)+a
enddo
else
write(*,*) 'No modification in setgrid',itype
endif
do i=1,ng
c write(*,*) j,i,grid(2,i,j)
enddo
call sample_write_g(j,'_0')
else
write(*,*) 'No modification is setgrid, grid read from file'
endif
end
subroutine sample_get_config(wgt, iteration, iconfig)
c************************************************************************
c
c INPUTS:
c
c OUTPUTS: wgt == 1/nevents*niterations
c iteration == Current iteration
c iconfig == configuration to use
c
c************************************************************************
implicit none
c
c Constants
c
include 'genps.inc'
c
c Arguments
c
double precision wgt
integer iteration, iconfig
c
c Local
c
integer idum
real xrnd
double precision tot
c
c External
c
real ran1
c
c Global
c
double precision tmean, trmean, tsigma
integer dim, events, itm, kn, cur_it, invar, configs
common /sample_common/
. tmean, trmean, tsigma, dim, events, itm, kn, cur_it, invar, configs
double precision psect(maxconfigs),alpha(maxconfigs)
common/to_mconfig2/psect ,alpha
data idum/0/
integer mincfig, maxcfig
common/to_configs/mincfig, maxcfig
c-----
c Begin Code
c-----
iteration = cur_it
if (cur_it .gt. itm) then
wgt = -1d0
else
wgt = 1d0 / (dble(events) * dble(itm))
c
c Choose configuration
c
if (configs .gt. 1) then
xrnd = ran1(idum)
iconfig=1
tot = alpha(iconfig)
do while (tot .lt. xrnd .and. iconfig .lt. configs)
iconfig=iconfig+1
tot = tot+alpha(iconfig)
enddo
else
iconfig=mincfig
endif
endif
end
subroutine write_discrete_grids(stream_id, grid_type)
c************************************************************************
c Write out the grid using the DiscreteSampler module
c************************************************************************
use DiscreteSampler
implicit none
integer, intent(in) :: stream_id
character(len=*) :: grid_type
logical MC_grouped_subproc
common/to_MC_grouped_subproc/MC_grouped_subproc
INTEGER ISUM_HEL
LOGICAL MULTI_CHANNEL
COMMON/TO_MATRIX/ISUM_HEL, MULTI_CHANNEL
c
c Begin code
c
if (ISUM_HEL.ne.0.and.DS_get_dim_status('Helicity').ge.1) then
call DS_write_grid(stream_id, dim_name='Helicity',
& grid_type=grid_type)
elseif(ISUM_HEL.eq.0)then
call write_good_hel(stream_id)
endif
if(MC_grouped_subproc.and.
& DS_get_dim_status('grouped_processes').ge.1) then
call DS_write_grid(stream_id, dim_name='grouped_processes',
& grid_type=grid_type)
endif
end subroutine write_discrete_grids
subroutine write_grid(name)
c************************************************************************
c Write out the grid
c************************************************************************
implicit none
character*(*) name
include 'genps.inc'
double precision tmean, trmean, tsigma
integer dim, events, itm, kn, cur_it, invar, configs
common /sample_common/
. tmean, trmean, tsigma, dim, events, itm, kn, cur_it, invar, configs
double precision twgt, maxwgt,swgt(maxevents)
integer lun, nw, itmin
common/to_unwgt/twgt, maxwgt, swgt, lun, nw, itmin
double precision grid(2, ng, 0:maxinvar)
common /data_grid/ grid
double precision force_max_wgt
common/unwgt_secondary_max/force_max_wgt
integer i,j
open(26, file='ftn26',status='unknown')
write(26,fmt='(4f21.17)') ((grid(2,i,j),i=1,ng),j=1,invar)
write(26,*) twgt, force_max_wgt
c write(26,fmt='(4f21.16)') (alpha(i),i=1,maxconfigs)
call write_discrete_grids(26,'ref')
close(26)
return
end
subroutine read_discrete_grids(stream_id)
c************************************************************************
c Write out the grid using the DiscreteSampler module
c************************************************************************
use DiscreteSampler
implicit none
integer, intent(in) :: stream_id
INTEGER ISUM_HEL
LOGICAL MULTI_CHANNEL
COMMON/TO_MATRIX/ISUM_HEL, MULTI_CHANNEL
if (ISUM_HEL.eq.0)then
call read_good_hel(stream_id)
endif
call DS_load_grid(stream_id)
end subroutine read_discrete_grids
subroutine sample_get_discrete_x(wgt,picked_bin,iconfig,dim_name)
c************************************************************************
c Returns maxdim random numbers between 0 and 1, and the wgt
c associated with this set of points, and the iteration number
c This routine chooses the point within the range specified by
c xmin and xmax for dimension j in configuration ipole
c************************************************************************
use DiscreteSampler
implicit none
include 'genps.inc'
C Subroutine arguments
integer picked_bin
character(len=*) dim_name
real*8 wgt
C This variable iconfig is what corresponds to ipole in sample_get_x
C and is used for random number generation
integer iconfig
C Local variables
real*8 jacobian
real*8 rdm
integer dummy
c
c Begin code
c
C Fetch a random number bewteen 0.0 and 1.0
c The fourth argument is not used and therefore a dummy
dummy = 0
call ntuple(rdm,0.0d0,1.0d0,dummy,iconfig)
C Pick a point using the DiscreteSampler module
CALL DS_get_point(dim_name, rdm, picked_bin, jacobian, 'norm')
C Store the helicity sampling jacobian so that it can be divided out
c of wgt later when adding an entry to the DiscreteSampler helicity
c grid. Also we don't want to multiply wgt by it yet since this is
c taken care of at the level of matrix<i> already.
hel_jacobian = jacobian
end subroutine sample_get_discrete_x
subroutine sample_get_x(wgt, x, j, ipole, xmin, xmax)
c************************************************************************
c Returns maxdim random numbers between 0 and 1, and the wgt
c associated with this set of points, and the iteration number
c This routine chooses the point within the range specified by
c xmin and xmax for dimension j in configuration ipole
c************************************************************************
implicit none
c
c Constants
c
include 'genps.inc'
include 'maxconfigs.inc'
c
c Arguments
c
double precision wgt, x, xmin, xmax
integer j, ipole
c
c Local
c
integer im, ip,ij,icount,it_warned
double precision xbin_min,xbin_max,ddum(maxdim),xo,y
c
c External
c
double precision xbin
external xbin
c
c Global
c
double precision tmean, trmean, tsigma
integer dim, events, itm, kn, cur_it, invar, configs
common /sample_common/
. tmean, trmean, tsigma, dim, events, itm, kn, cur_it, invar, configs
double precision grid(2, ng, 0:maxinvar)
common /data_grid/ grid
integer Minvar(maxdim,lmaxconfigs)
common /to_invar/ Minvar
integer ituple
common /to_random/ituple
double precision spole(maxinvar),swidth(maxinvar),bwjac
common/to_brietwigner/spole ,swidth ,bwjac
integer nzoom
double precision tx(1:3,maxinvar)
common/to_xpoints/tx, nzoom
data ddum/maxdim*0d0/
data icount/0/
data it_warned/0/
integer lastbin(maxdim)
common /to_lastbin/lastbin
c-----
c Begin Code
c-----
if (it_warned .ne. cur_it) then
icount=0
it_warned = cur_it
endif
if (ituple .eq. 2) then !Sobel generator
print*,'Sorry Sobel generator disabled'
stop
c call sobel(ddum)
c write(*,'(7f11.5)')(ddum(j)*real(ng),j=1,dim)
endif
if (ituple .eq. 1) then
c write(*,*) 'Getting variable',ipole,j,minvar(j,ipole)
xbin_min = xbin(xmin,minvar(j,ipole))
xbin_max = xbin(xmax,minvar(j,ipole))
if (xbin_min .gt. xbin_max-1) then
c write(*,'(a,4e15.4)') 'Bad limits',xbin_min,xbin_max,
c & xmin,xmax
c xbin_max=xbin_min+1d-10
xbin_max = xbin(xmax,minvar(j,ipole))
xbin_min = min(xbin(xmin,minvar(j,ipole)), xbin_max)
endif
c
c Line which allows us to keep choosing same x
c
c if (swidth(j) .ge. 0) then
if (nzoom .le. 0) then
call ntuple(ddum(j), xbin_min,xbin_max, j, ipole)
else
c write(*,*) 'Reusing num',j,nzoom,tx(2,j)
call ntuple(ddum(j),max(xbin_min,dble(int(tx(2,j)))),
$ min(xbin_max,dble(int(tx(2,j))+1)),j,ipole)
if(max(xbin_min,dble(int(tx(2,j)))).gt.
$ min(xbin_max,dble(int(tx(2,j))+1))) then
c write(*,*) 'not good'
endif
c write(*,'(2i6,4e15.5)') nzoom,j,ddum(j),tx(2,j),
c $ max(xbin_min,dble(int(tx(2,j)))),
c $ min(xbin_max,dble(int(tx(2,j))+1))
c ddum(j) = tx(2,j) !Use last value
endif
tx(1,j) = xbin_min
tx(2,j) = ddum(j)
tx(3,j) = xbin_max
elseif (ituple .eq. 2) then
if (ipole .gt. 1) then
print*,'Sorry Sobel not configured for multi-pole.'
stop
endif
ddum(j)=ddum(j)*dble(ng)
else
print*,'Error unknown random number generator.',ituple
stop
endif
im = ddum(j)
if (im.ge.ng)then
im = ng -1
ddum(j) = ng
endif
if (im.lt.0) im = 0
ip = im + 1
ij = Minvar(j,ipole)
c------
c tjs 3/5/2011 save bin used to avoid looking up when storing wgt
c------
lastbin(j) = ip
c
c New method of choosing x from bins
c
if (ip .eq. 1) then !This is in the first bin
xo = grid(2, ip, ij)-xgmin
x = grid(2, ip, ij) - xo * (dble(ip) - ddum(j))
else
xo = grid(2, ip, ij)-grid(2,im,ij)
x = grid(2, ip, ij) - xo * (dble(ip) - ddum(j))
endif
c
c Now we transform x if there is a B.W., S, or T pole
c
if (ij .gt. 0) then
c write(*,*) "pole, width",ij,spole(ij),swidth(ij)
if (swidth(ij) .gt. 0d0) then
c write(*,*) 'Tranpole called',ij,swidth(ij)
y = x !Takes uniform y and returns
call transpole(spole(ij),swidth(ij),y,x,wgt) !x on BW pole or 1/x
endif
endif
c
c Simple checks to see if we got the right point note 1e-3 corresponds
c to the fact that the grids are required to be separated by 1e-14. Since
c double precision is about 18 digits, we expect things to agree to
c 3 digit accuracy.
c
if (abs(ddum(j)-xbin(x,ij))/(ddum(j)+1d-22) .gt. 1e-3) then
if (icount .lt. 5) then
write(*,'(a,i4,2e14.6,1e12.4)')
& 'Warning xbin not returning correct x', ij,
& ddum(j),xbin(x,ij),xo
elseif (icount .eq. 5) then
write(*,'(a,a)')'Warning xbin still not working well. ',
& 'Last message this iteration.'
endif
icount=icount+1
endif
if (x .lt. xmin .or. x .gt. xmax) then
c write(*,'(a,4i4,2f24.16,1e10.2)') 'Bad x',ij,int(xbin_min),ip,
c & int(xbin_max),xmin,x,xmax-xmin
endif
wgt = wgt * xo * dble(xbin_max-xbin_min)
c print*,'Returning x',ij,ipole,j,x
end
subroutine sample_get_wgt(wgt, x, j, ipole, xmin, xmax)
c************************************************************************
c Returns the wgt for a point x in grid j of configuration
c ipole between xmin and xmax
c************************************************************************
implicit none
c
c Constants
c
include 'genps.inc'
include 'maxconfigs.inc'
c
c Arguments
c
double precision wgt, x, xmin, xmax
integer j, ipole
c
c Local
c
integer im, ip,ij
double precision xbin_min,xbin_max,xbin2
double precision xo
c
c External
c
double precision xbin
external xbin
c
c Global
c
double precision tmean, trmean, tsigma
integer dim, events, itm, kn, cur_it, invar, configs
common /sample_common/
. tmean, trmean, tsigma, dim, events, itm, kn, cur_it, invar, configs
double precision grid(2, ng, 0:maxinvar)
common /data_grid/ grid
integer Minvar(maxdim,lmaxconfigs)
common /to_invar/ Minvar
integer ituple
common /to_random/ituple
double precision spole(maxinvar),swidth(maxinvar),bwjac
common/to_brietwigner/spole ,swidth ,bwjac
c-----
c Begin Code
c-----
if (xmin .gt. x) then
if (xmin-x .lt. 1d-13) then
x=xmin
else
write(*,'(a,2i4,4e10.4)') 'Error x out of range in get_wgt',
$ j,minvar(j,ipole),xmin,x,xmax,x-xmin
return
endif
endif
if (xmax .lt. x) then
if (x-xmax .lt. 1d-13) then
x=xmax
else
write(*,'(a,2i4,4f8.4)') 'Error x out of range in get_wgt',
$ j,minvar(j,ipole),xmin,x,xmax,x-xmin
return
endif
endif
if (ituple .eq. 1) then
xbin_min = xbin(xmin,minvar(j,ipole))
xbin_max = xbin(xmax,minvar(j,ipole))
xbin2 = xbin(x,minvar(j,ipole)) !This must be last one for bwjac
if (xbin_min .gt. xbin_max) then
write(*,'(a,2e15.3,i6,2e15.3)') 'Error xbinmin>xbinmax'
& ,xbin_min,
& xbin_max,minvar(j,ipole),xmin,xmax
endif
else
print*,'Error unknown random number generator.',ituple
stop
endif
im = xbin2
ip = im + 1
ij = Minvar(j,ipole)
c
c New method for finding bin
c
if (ip .eq. 1) then
xo=grid(2,ip,ij)-xgmin
else
xo=grid(2,ip,ij)-grid(2,im,ij)
endif
wgt = wgt * xo * dble(xbin_max-xbin_min)*bwjac
if (wgt .le. 0d0) then
c write(*,'(a,3i4,2f6.1,3e15.3)') 'Error wgt<0',j,ij,ip,
c & xbin_min,xbin_max,xo,xmin,xmax
c write(*,'(2e25.15)') grid(2, ip, ij),grid(2, im, ij)
c write(*,'(a,5e15.5)') 'Wgt',wgt,xo,
c & dble(xbin_max-xbin_min),bwjac
endif
end
subroutine sample_result(mean, rmean, sigma, itmin)
implicit none
double precision mean, rmean, sigma
integer i,cur_it,itmin,itsum
double precision tsigma,tmean,trmean,tsig,tdem
double precision xmean(99),xsigma(99),xwmax(99),xeff(99), xrmean(99)
common/to_iterations/xmean, xsigma, xwmax, xeff, xrmean
i=1
do while(xmean(i) .ne. 0 .and. i .lt. 99)
i=i+1
enddo
cur_it = i
c Use the last 3 iterations or cur_it-1 if cur_it-1 >= itmin
itsum = min(max(itmin,cur_it-1),3)
i = cur_it - itsum
tmean = 0d0
trmean = 0d0
tsigma = 0d0
if (i .gt. 0) then
tdem = 0d0
do while (xmean(i) .ne. 0 .and. i .lt. cur_it)
tmean = tmean+xmean(i)*xmean(i)**2/xsigma(i)**2
trmean = trmean+xrmean(i)*xmean(i)**2/xsigma(i)**2
tdem = tdem+xmean(i)**2/xsigma(i)**2
tsigma = tsigma + xmean(i)**2/ xsigma(i)**2
i=i+1
enddo
tmean = tmean/tsigma
trmean = trmean/tsigma
tsigma= tmean/sqrt(tsigma)
endif
mean = tmean
rmean = trmean
sigma = tsigma
end
C
C Subroutine to take care of the update of the discrete grids
C (used for helicity and the matrix<i> choice in the grouped case
C as implented in the DiscreteSampler module.
C
subroutine add_entry_to_discrete_dimensions(wgt)
use DiscreteSampler
implicit none
c
c Constants
c
include 'genps.inc'
c
c Arguments
c
double precision wgt
c
c Local
c
c
c Global
c
INTEGER ISUM_HEL
LOGICAL MULTI_CHANNEL
COMMON/TO_MATRIX/ISUM_HEL, MULTI_CHANNEL
logical cutsdone, cutspassed
COMMON/TO_CUTSDONE/CUTSDONE,CUTSPASSED
c
c Begin code
c
c It is important to divide the wgt stored in the grid by the
c corresponding jacobian otherwise it flattens the sampled
c distribution.
C Also, if HEL_PICKED is equal to -1, it means that MadEvent
C is in the initialization stage where all helicity were probed
c and added individually to the grid directly by matrix<i>.f so
c that they shouldn't be added here.
if(ISUM_HEL.ne.0.and.HEL_PICKED.ne.-1.and.
& (.NOT.CUTSDONE.or.CUTSPASSED)) then
call DS_add_entry('Helicity',HEL_PICKED,(wgt/hel_jacobian))
endif
end subroutine add_entry_to_discrete_dimensions
C
C Subroutine to take care of the update of the discrete grids
C (used for helicity and the matrix<i> choice in the grouped case
C as implented in the DiscreteSampler module.
C
subroutine update_discrete_dimensions()
use DiscreteSampler
implicit none
c
c Constants
c
include 'genps.inc'
c
c Arguments
c
c
c Local
c
type(SampledDimension) tmp_dim
c
c Global
c
INTEGER ISUM_HEL
LOGICAL MULTI_CHANNEL
COMMON/TO_MATRIX/ISUM_HEL, MULTI_CHANNEL
logical MC_grouped_subproc
common/to_MC_grouped_subproc/MC_grouped_subproc
c
c Begin code
c
if(ISUM_HEL.ne.0) then
call DS_update_grid('Helicity', filterZeros=.True.)
tmp_dim = DS_get_dimension(ref_grid,'Helicity')
C Security in case of all helicity vanishing (G1 of gg > qq )
if (size(tmp_dim%bins).eq.0) then
call none_pass(-1)
endif
endif
if(MC_grouped_subproc.and.DS_get_dim_status('grouped_processes').ne.-1) then
call DS_update_grid('grouped_processes', filterZeros=.True.)
endif
end subroutine update_discrete_dimensions
subroutine sample_put_point(wgt, point, iteration,ipole)
c**************************************************************************
c Given point(maxinvar),wgt and iteration, updates the grid.
c If at the end of an iteration, reforms the grid as necessary
c and outputs current results
c**************************************************************************
implicit none
c
c Constants
c
include 'genps.inc'
integer max_events
parameter (max_events=500000) !Maximum # events before get non_zero
c
c Arguments
c
integer iteration,ipole
double precision wgt, point(maxinvar)
c
c Local
c
integer i, j, k, knt, nun,itsum
double precision vol,xnmin,xnmax,tot,xdum,tmp1,chi2tmp
double precision rc, dr, xo, xn, x(maxinvar), dum(ng-1)
save vol,knt
double precision chi2
save chi2
double precision wmax1,ddumb
save wmax1
double precision twgt1,xchi2,xxmean,tmeant,tsigmat
integer iavg,navg
save twgt1,iavg,navg
c
c External
c
double precision binwidth,xbin,dsig
logical rebin
integer n_unwgted
external binwidth,xbin,dsig,rebin,n_unwgted
c
c Global
c
integer th_nunwgt
double precision th_maxwgt
common/theoretical_unwgt_max/th_maxwgt, th_nunwgt
double precision force_max_wgt
common/unwgt_secondary_max/force_max_wgt
double precision accur
common /to_accuracy/accur
double precision xmean(99),xsigma(99),xwmax(99),xeff(99), xrmean(99)
common/to_iterations/xmean, xsigma, xwmax, xeff, xrmean
double precision mean,rmean,sigma
common/to_result/mean,rmean,sigma
double precision grid2(0:ng,maxinvar)
integer inon_zero(ng,maxinvar), non_zero
common/to_grid2/grid2,inon_zero,non_zero
double precision tmean, trmean, tsigma
integer dim, events, itm, kn, cur_it, invar, configs
common /sample_common/
. tmean, trmean, tsigma, dim, events, itm, kn, cur_it, invar, configs
double precision grid(2, ng, 0:maxinvar)
common /data_grid/ grid
integer nsteps
character*40 result_file,where_file
common /sample_status/result_file,where_file,nsteps
logical first_time
common/to_first/first_time
integer use_cut
common /to_weight/use_cut
double precision xmin(maxinvar),xmax(maxinvar)
common /to_extreme/xmin ,xmax
double precision reliable(ng,maxdim)
common /to_error/reliable
double precision twgt, maxwgt,swgt(maxevents)
integer lun, nw, itmin
common/to_unwgt/twgt, maxwgt, swgt, lun, nw, itmin
real*8 wmax !This is redundant
common/to_unweight/wmax
double precision fx
common /to_fx/ fx
double precision prb(maxconfigs,maxpoints,maxplace)
double precision fprb(maxinvar,maxpoints,maxplace)
integer jpnt,jplace
common/to_mconfig1/prb ,fprb,jpnt,jplace
double precision psect(maxconfigs),alpha(maxconfigs)
common/to_mconfig2/psect ,alpha
double precision spole(maxinvar),swidth(maxinvar),bwjac
common/to_brietwigner/spole ,swidth ,bwjac
integer neventswritten
common /to_eventswritten/ neventswritten
integer lastbin(maxdim)
common /to_lastbin/lastbin
data prb/maxprb*1d0/
data fprb/maxfprb*1d0/
data jpnt,jplace /1,1/
c-----
c Begin Code
c-----
if (first_time) then
first_time = .false.
twgt1 = 0d0 !
iavg = 0 !Vars for averging to increase err estimate
navg = 1 !
wmax1= 99d99
wmax = -1d0
mean = 0d0
rmean = 0d0
sigma = 0d0
chi2 = 0d0
non_zero = 0
vol = 1d0 / dble(events * itm)
knt = events
do i=1,maxconfigs
psect(i)=0d0
enddo
do i=1,invar
xmin(i) = xgmax
xmax(i) = xgmin
do j=1,ng
inon_zero(j,i)=0
grid(1,j,i) =0d0
grid2(j,i) =0d0
enddo
enddo
endif
if (iteration .eq. cur_it) then
c Add the current point to the DiscreteSamplerGrid
call add_entry_to_discrete_dimensions(wgt)
if (kn.eq.0.and.(iteration.eq.1.or.use_cut.eq.-2)) then
! ensure that all cumulative variable are at zero (usefull for reset)
twgt1 = 0d0 !
iavg = 0 !Vars for averging to increase err estimate
navg = 1 !
wmax1= 99d99
wmax = -1d0
mean = 0d0
rmean = 0d0
sigma = 0d0
chi2 = 0d0
non_zero = 0
vol = 1d0 / dble(events * itm)
knt = events
do i=1,maxconfigs
psect(i)=0d0
enddo
endif
kn = kn + 1
if (.true.) then !Average points to increase error estimate
twgt1=twgt1+dabs(wgt) !This doesn't change anything should remove
iavg = iavg+1
if (iavg .ge. navg) then
sigma=sigma+twgt1**2
iavg = 0
twgt1=0d0
endif
else
sigma = sigma + wgt**2
endif
if (wgt .ne. 0.) then
if (dabs(wgt)*itm*events .gt. wmax) then
wmax=dabs(wgt)*itm*events
endif
non_zero = non_zero + 1
mean = mean + dabs(wgt)
rmean = rmean + wgt
if (.true. ) then
c psect(ipole)=psect(ipole)+wgt*wgt/alpha(ipole) !Ohl
c psect(ipole)=1d0 !Not doing multi_config
else
tot = 0d0
do i=1,configs
tot=tot+prb(i,jpnt,jplace)*alpha(i)
enddo
do i=1,configs
if (tot .gt. 0d0) then !Pittau hep-ph/9405257
psect(i)=psect(i)+wgt*wgt*prb(i,jpnt,jplace)/tot
else
psect(i)=psect(i)+wgt*wgt*alpha(i) !prb not set....
endif
enddo
endif
c write(123,'(2i6,1e15.5)') 1,1,wgt
c write(123,'(5e15.9)') (fprb(i,jpnt,jplace),i=1,invar)
c write(123,'(5e15.9)') (prb(i,jpnt,jplace),i=1,configs)
do j = 1, invar
c i = int(xbin(point(j),j))+1
c--------------
c tjs 3/5/2011 use stored value for last bin
c--------------
i = lastbin(j)
c write(*,*) 'bin choice',j,i,lastbin(j)
if (i .gt. ng) then
print*,'error i>ng',i,j,ng,point(j)
i=ng
endif
grid(1, i, j) = grid(1, i, j) + abs(wgt)
grid2(i, j) = grid2(i, j) + wgt**2
c
c Lines below are for multiconfiguration
c
c grid(1, i, j) = grid(1, i, j) +
c & (abs(wgt)**2)*fprb(j,jpnt,jplace)
c grid2(i, j) = grid2(i, j) + wgt**4*fprb(j,jpnt,jplace)
if (abs(wgt) .gt. 0) inon_zero(i,j) = inon_zero(i,j)+1
c
c Here we need to look out for point(j) which has been transformed
c for Briet-Wigner pole
c
if (j .gt. 0) then
if (swidth(j) .gt. 0d0) then
ddumb=0d0
call untranspole(spole(j),swidth(j),
& point(j),point(j),ddumb)
if (point(j) .lt. 0d0) then
print*,'Warning point<0',j,point(j)
endif
endif
endif
if (abs(wgt) .gt. 0) xmin(j)=min(xmin(j),point(j))
if (abs(wgt) .gt. 0) xmax(j)=max(xmax(j),point(j))
if (xmin(j) .lt. xgmin) then
print*,'Warning xmin<0',j,xmin(j),point(j)
endif
xmin(j)=max(xmin(j),xgmin)
end do
endif
c
c Now if done with an iteration, print out stats, rebin, reset
c
c if (kn .eq. events) then
if (kn .ge. max_events .and. non_zero .le. 5) then
call none_pass(max_events)
endif
if (non_zero .ge. events .or. (kn .gt. 200*events .and.
$ non_zero .gt. 5)) then
c # special mode where we store information to combine them
if(use_cut.eq.-2)then
open(unit=22, file="grid_information")
write(22,*) non_zero, ng, invar
write(22,*) ((grid(1,i,j),i=1,ng),j=1,invar)
write(22,*) ((grid(2,i,j),i=1,ng),j=1,invar)
write(22,*) ((inon_zero(i,j),i=1,ng),j=1,invar)
write(22,*) (xmin(j), j=1,invar)
write(22,*) (xmax(j), j=1,invar)
write(22,*) mean, rmean, sigma, wmax, kn,events, force_max_wgt
c In order not to write out the reference grid but just
c the points which were added for this last iteration,
c we write out the discrete 'running' grids before the
c update of the reference grid.
call write_discrete_grids(22,'all')
close(22)
endif
C
C Now updated the discrete dimensions of the DiscreteSampler module
C used for sampling helicity configurations and matrix<i> config
C choice in the grouped case.
C
call update_discrete_dimensions()
mean=mean*dble(events)/dble(non_zero)
rmean=rmean*dble(events)/dble(non_zero)
twgt1=twgt1*dble(events)/dble(non_zero)
sigma=sigma+twgt1**2 !This line for averaging over points
if (non_zero .eq. 0) then
write(*,*) 'Error no points passed the cuts.'
write(*,*) 'Try running with more points or looser cuts.'
stop
endif
c mean = mean * itm !Used if don't have non_zero
if (.true.) then
mean = mean * itm *dble(non_zero)/dble(kn)
rmean = rmean * itm *dble(non_zero)/dble(kn)
knt = kn
endif
c
c Need to fix this if averaging over navg events
c
c write(*,*) (sigma/vol/vol-knt*mean*mean)/dble(knt-1)/dble(knt),
c & (sigma/vol/vol-knt*mean*mean*navg)/dble(knt-1)/ dble(knt)
if (.true.) then
c vol = 1d0/(knt*itm)
sigma = DABS((sigma/vol/vol-non_zero*mean*mean*navg) ! knt replaced by non_zero
. / dble(knt-1) / dble(knt)) ! DABS is to catch numerical error
else
sigma = (sigma/vol/vol - knt*mean*mean)
. / dble(knt-1) / dble(knt)
endif
tmean = tmean + mean * (mean**2 / sigma)
trmean = trmean + rmean * (mean**2 / sigma)
tsigma = tsigma + mean**2 / sigma
chi2 = chi2 + mean**2 * (mean**2 / sigma)
sigma = sqrt(abs(sigma))
if (cur_it .lt. 100) then
xmean(cur_it) = mean
xrmean(cur_it) = rmean
xsigma(cur_it) = sigma
xwmax(cur_it)= wmax*dble(non_zero)/dble(kn)
xeff(cur_it)= sigma*sqrt(dble(non_zero))/mean
c call sample_writehtm()
endif
write(*,222) 'Iteration',cur_it,'Mean: ',rmean,
& ' Abs mean: ',mean, ' Fluctuation: ',sigma,
& wmax*(dble(non_zero)/dble(kn)),
& dble(non_zero)/dble(kn)*100.,'%'
222 format(a10,I3,3x,a6,e10.4,a11,e10.4,a16,e10.3,e12.3,3x,f5.1,a1)
write(*,223) cur_it, rmean, mean,' +- ', sigma,
& sigma*sqrt(dble(non_zero))/mean
223 format( i3,3x,2e11.4,a,e10.4,f10.2)
tot=0d0
do i=1,configs
tot=tot+psect(i)
enddo
if (configs .gt. 1)
& write(*,'(8f10.5)') (psect(i)/tot, i=1,configs)
c
c Now set things up for generating unweighted events
c
if (twgt .eq. -2d0) then
twgt = mean *kn/ (dble(itm)*dble(events)*dble(events))
c
c now scale twgt, in case have large fluctuations
c
c twgt = twgt * max(1d0, xeff(cur_it))
c
c For small number of events only write about 1% of events
c
c if (events .le. 2500) then
c twgt = mean *kn*100 /
c $ (dble(itm)*dble(events)*dble(events))
c endif
c twgt = max(twgt, maxwgt/10d0)
write(*,*) 'Writing out events',twgt, xeff(cur_it)
c write(*,*) mean, kn, itm, events
endif
c
c This tells it to write out a file for unweighted events
c
c if(wmax*(dble(non_zero)/dble(kn)) .lt. wmax1) then
if(sigma/(mean+1d-99) .lt. wmax1 .and. use_cut .ne. 0) then
c wmax1 = wmax*(dble(non_zero)/dble(kn))
wmax1 = sigma/(mean+1d-99)
c open(26, file='ftn99',status='unknown')
c write(26,fmt='(4f20.17)')
c $ ((grid(2,i,j),i=1,ng),j=1,maxinvar)
c write(26,fmt='(4f20.17)') (alpha(i),i=1,maxconfigs)
c close(26)
endif
tot=0d0
if (use_cut .ne. 0) then
c write(*,*) 'Keeping alpha fixed'
if (configs .gt. 1) then
do i=1,configs
alpha(i)=alpha(i)*sqrt(sqrt(psect(i))) !Pittau
tot = tot+alpha(i)
psect(i)=0d0
enddo
do i=1,configs
alpha(i)=alpha(i)/tot
enddo
write(*,'(A)') 'Configs:'
write(*,'(8f10.5)') (alpha(i),i=1,configs)
endif
endif
c open(unit=22,file=result_file,status='old',access='append',
c & err=23)
c write(22,222) 'Iteration',cur_it,'Mean: ',mean,
c & ' Fluctuation: ',sigma,
c & wmax*(dble(non_zero)/dble(kn)),
c & dble(non_zero)/dble(kn)*100.,'%'
c close(22)
c------
c Here we will double the number of events requested for the next run
c-----
23 events = 2 * events
vol = 1d0/dble(events*itm)
knt = events
if (use_cut.ne.-2) then
twgt = mean / (dble(itm)*dble(events))
endif
c write(*,*) 'New number of events',events,twgt
mean = 0d0
rmean = 0d0
sigma = 0d0
cur_it = cur_it + 1
kn = 0
wmax = -1d0
c
c do so adjusting of weights according to number of events in bin
c
do j=1,invar
do i = 1, ng
if (abs(use_cut) .ne. 2 .and.
& use_cut .ne. 3 .and. use_cut .ne. 5)
$ inon_zero(i,j) = 0
if (use_cut .eq. 3) grid(1,i,j)=grid2(i,j)
if (inon_zero(i,j) .ne. 0) then
grid(1,i,j) = grid(1,i,j)
& *dble(min((real(non_zero)/real(inon_zero(i,j))),
$ 10000.))
grid2(i,j) = grid2(i,j)
& *dble(min((real(non_zero)/real(inon_zero(i,j))),
$ 10000.))**2
if (real(non_zero)/real(inon_zero(i,j))
& .gt. 100000) then
c if (j .eq. 1) then
print*,'Exceeded boost',j,i,
& real(non_zero)/real(inon_zero(i,j))
c endif
endif
inon_zero(i,j) = 0
endif
if (use_cut .eq. 4)
& reliable(i,j)=dsqrt(grid2(i,j))/grid(1,i,j)
enddo
enddo
if (use_cut .eq. 4) then
use_cut=0
endif
do j = 1, invar
k=1
c
c special routines to deal with xmin cutoff
c
do while(grid(1,k,j) .le. 0d0 .and. k+1 .lt. ng)
k=k+1
enddo
c if (j .eq. 1) then
c open(unit=22,file='x1.dat',status='unknown')
c do i=1,ng
c write(22,'(i6,2e20.8)') i,grid(1,i,j),
c $ dsqrt(grid2(i,j))
c enddo
c close(22)
c endif
x(j)=0d0
do i=1,ng
x(j)=x(j)+grid(1,i,j)
enddo
call average_grid(j,k,grid,grid2,x)
c if (j .eq. 1 .and. .true.) then
c open(unit=22,file='x1avg.dat',status='unknown')
c do i=1,ng
c write(22,'(i6,2e20.8)') i,grid(1,i,1),
c $ dsqrt(grid2(i,1))
c enddo
c close(22)
c endif
c
c Now take logs to help the rebinning converge quicker
c
rc = 0d0
do i= k, ng
xo = (1.0d-14) + grid(1, i, j) / x(j)
grid(1, i, j) = ((xo - 1d0) / log(xo))**1.5 !this is 1.5
rc = rc + grid(1, i, j)
c write(*,*) i,rc
end do
rc = rc / dble(ng)
k = 0
xn = xgmin
dr = 0d0
i = 0
c
c Special lines to deal with xmin .ne. 0 cutoffs
c
c
c These assume one endpoints are xgmin and xgmax
c
c
xnmin = xgmin !Endpoints for grid usually 0d0
xnmax = xgmax !Endpoint for grid usually 1d0
if (xmin(j)-xgmin .gt. (grid(2,2,j)-grid(2,1,j)))then
xnmin = xmin(j)-(grid(2,2,j)-grid(2,1,j))/5d0
i = 1
dum(i)= xnmin
xn = xnmin
rc = rc * dble(ng)/dble(ng-i)
endif
dum(ng-1) = -1d0
if (xgmax-xmax(j).gt.(grid(2,ng-1,j)-grid(2,ng-2,j)))then
xnmax = xmax(j)+(grid(2,ng-1,j)-grid(2,ng-2,j))/5d0
dum(ng-1)= xnmax
rc = rc * dble(ng-i)/dble(ng-i-1)
c print*,'xmax',j,xmax(j),dum(ng-1)
endif
25 k = k + 1
dr = dr + grid(1, k, j)
xo = xn
xn = max(grid(2, k, j),xnmin)
xn = min(xn,xnmax)
26 if (rc .gt. dr) goto 25
i = i + 1
dr = dr - rc
dum(i) = xn - (xn - xo) * dr / grid(1, k, j)
c
c Put in check for 0 width bin NEED TO FIX THIS
c
if (dum(ng-1) .eq. -1) then
if (i .lt. ng - 1 ) goto 26
else
if (i .lt. ng - 2 ) goto 26
endif
c
c Here is another fix for 0 width bins
c
do i=1,ng-2
if (dum(i+1)-dum(i) .le. 1d-14) then
c write(*,'(a,2i4,2f24.17,1e10.3)') 'Bin too small',
c & j,i,dum(i),dum(i+1),dum(i+1)-dum(i)
dum(i+1)=dum(i)+1d-14
if (dum(i+1) .gt. xgmax) then
write(*,*) 'Error in rebin',i,dum(i),dum(i+1)
endif
endif
enddo
c
c Now reset counters and set new grid as necessary
c
do i = 1, ng - 1
grid(1, i, j) = 0d0
grid2(i,j) = 0d0
if (use_cut .ne. 0 .and. j .gt. 0)
$ grid(2, i, j) = dum(i)
end do
grid(1, ng, J) = 0d0
grid(2, ng, J) = xgmax
grid2(ng,j) = 0d0
non_zero = 0
call sample_write_g(j,'_1')
end do
c write(*,*) (irebin(j),j=1,dim)
c open(unit=26,file='grid.dat',status='unknown')
c do j=1,maxinvar
c do i=1,ng
c write(26,*) grid(2,i,j),j,i
c enddo
c enddo
c close(26)
c Update weights in dsig (needed for subprocess group mode)
xdum=dsig(0,0,2)
c
c Add test to see if we have achieved desired accuracy
c Allow minimum itmin iterations
c
if (tsigma .gt. 0d0 .and. cur_it .gt. itmin .and. accur .gt. 0d0) then
xxmean = tmean/tsigma
if (cur_it.ne.2)then
xchi2 = dabs(chi2/xxmean/xxmean-tsigma)/dble(cur_it-2)
else
xchi2 = 0d0
endif
write(*,'(a,4f8.3)') ' Accuracy: ',sqrt(xchi2/tsigma),
& accur,1/sqrt(tsigma),xchi2
c write(*,*) 'We got it',1d0/sqrt(tsigma), accur
c if (1d0/sqrt(tsigma) .lt. accur) then
if (sqrt(xchi2/tsigma) .lt. accur) then
write(*,*) 'Finished due to accuracy ',sqrt(xchi2/tsigma), accur
tmean = tmean / tsigma
trmean = trmean / tsigma
if (cur_it .gt. 2) then
chi2 = (chi2/tmean/tmean-tsigma)/dble(cur_it-2)
else
chi2=0d0
endif
tsigma = tmean / sqrt(tsigma)
write(*, 80) real(tmean), real(tsigma), real(trmean), real(chi2)
if (use_cut .ne. 0) then
open(26, file='ftn26',status='unknown')
write(26,fmt='(4f21.17)')
$ ((grid(2,i,j),i=1,ng),j=1,invar)
write(26,*) twgt, force_max_wgt
c write(26,fmt='(4f21.16)') (alpha(i),i=1,maxconfigs)
call write_discrete_grids(26,'ref')
close(26)
endif
call sample_writehtm()
c open(unit=22,file=result_file,status='old',
c $ access='append',err=122)
c write(22, 80) real(tmean), real(tsigma), real(chi2)
c 122 close(22)
tsigma = tsigma*sqrt(chi2) !This gives the 68% confidence cross section
if (use_cut.eq.-2)then
call store_events(force_max_wgt, .False.)
else
call store_events(-1d0, .True.)
endif
cur_it = itm+2
return
endif
endif
c
c New check to see if we need to keep integrating this one or not.
c
if (cur_it .gt. itmin .and. accur .lt. 0d0) then !Check luminocity
c
c Lets get the actual number instead
c tjs 5/22/2007
c
c nun = n_unwgted()
c write(*,*) 'Estimated events',nun, accur
if (use_cut.eq.-2) then
call store_events(force_max_wgt, .False.)
else
call store_events(-1d0, .True.)
endif
nun = neventswritten
c tmp1 = tmean / tsigma
c chi2tmp = (chi2/tmp1/tmp1-tsigma)/dble(cur_it-2)
c Calculate chi2 for last few iterations (ja 03/11)
tmeant = 0d0
tsigmat = 0d0
c Use the last 3 iterations or cur_it-1 if cur_it-1 >= itmin but < 3
itsum = min(max(itmin,cur_it-1),3)
do i=cur_it-itsum,cur_it-1
tmeant = tmeant+xmean(i)*xmean(i)**2/xsigma(i)**2
tsigmat = tsigmat + xmean(i)**2/ xsigma(i)**2
enddo
tmeant = tmeant/tsigmat
chi2tmp = 0d0
do i = cur_it-itsum,cur_it-1
chi2tmp = chi2tmp+(xmean(i)-tmeant)**2/xsigma(i)**2
enddo
chi2tmp = chi2tmp/2d0 !Since using only last 3, n-1=2
c JA 8/17/2011 Redefined -accur as lumi, so nevents is -accur*cross section
write(*,*) "Checking number of events",-accur*tmeant,nun,' chi2: ',chi2tmp
c Check nun and chi2 (ja 03/11)
if (nun .gt. -accur*tmeant .and. chi2tmp .lt. 10d0)then
tmean = tmean / tsigma
if (cur_it .gt. 2) then
chi2 = (chi2/tmean/tmean-tsigma)/dble(cur_it-2)
else
chi2=0d0
endif
tsigma = tmean / sqrt(tsigma)
write(*, 80) real(tmean), real(tsigma), real(chi2)
if (use_cut .ne. 0) then
open(26, file='ftn26',status='unknown')
write(26,fmt='(4f21.17)')
$ ((grid(2,i,j),i=1,ng),j=1,invar)
write(26,*) twgt, force_max_wgt
c write(26,fmt='(4f21.17)') (alpha(i),i=1,maxconfigs)
call write_discrete_grids(26,'ref')
close(26)
endif
call sample_writehtm()
c open(unit=22,file=result_file,status='old',
c $ access='append',err=129)
c write(22, 80) real(tmean), real(tsigma), real(chi2)
c 129 close(22)
tsigma = tsigma*sqrt(max(0d0,chi2)) !This gives the 68% confidence cross section
cur_it = itm+20
return
endif
endif
if (cur_it .gt. itm) then
if (use_cut.eq.-2)then
call store_events(force_max_wgt, .False.)
else
call store_events(-1d0, .True.)
endif
tmean = tmean / tsigma
trmean = trmean / tsigma
chi2 = dabs(chi2 / tmean / tmean - tsigma) / dble(itm - 1)
tsigma = tmean / sqrt(tsigma)
write(*, 80) real(tmean), real(tsigma), real(trmean), real(chi2)
80 format(/1X,79(1H-)/1X,23HAccumulated results: ,
. 10HIntegral =,e12.4/24X,10HStd dev =,e12.4
. /23X,11HCross sec =,e12.4/
. 13X,21HChi**2 per DoF. =,f12.4/1X,79(1H-))
if (use_cut .ne. 0) then
call write_grid('ftn26')
endif
call sample_writehtm()
c open(unit=22,file=result_file,status='old',
c $ access='append',err=123)
c write(22, 80) real(tmean), real(tsigma), real(chi2)
c 123 close(22)
tsigma = tsigma*sqrt(chi2) !This gives the 68% confidence cross section
else
c
c Starting new iteration, should clean out stored events
c and start fresh
c
c nun = n_unwgted()
c write(*,*) 'Estimated unweighted events ', nun
call clear_Events
endif
endif
else
endif
end
subroutine none_pass(max_events)
c*************************************************************************
c Special break to handle case where no events are passing cuts
c We'll set the cross section to zero here.
c*************************************************************************
implicit none
c
c Constants
c
include 'genps.inc'
c
c Arguments
c
integer max_events
c
c Global
c
integer nsteps
character*40 result_file,where_file
common /sample_status/result_file,where_file,nsteps
c----
c Begin Code
c----
write(*,*) 'No points passed cuts!'
write(*,*) 'Loosen cuts or increase max_events',max_events
c open(unit=22,file=result_file,status='old',access='append',
c & err=23)
c write(22,222) 'Iteration',0,'Mean: ',0d0,
c & ' Fluctuation: ',0d0,
c & 0d0,
c & 0d0,'%'
c 23 close(22)
222 format(a10,I3,3x,a6,e10.4,a16,e10.3,e12.3,3x,f5.1,a1)
open(unit=66,file='results.dat',status='unknown')
write(66,'(3e12.5,2i9,i5,i9,5e10.3,i9)')0.,0.,0.,0,0,
& 0,1,0.,0.,0.,0.,0.,0
write(66,'(i4,5e15.5)') 1,0.,0.,0.,0.,0.
c Write out MadLoop statistics, if any
call output_run_statistics(66)
flush(66)
close(66, status='KEEP')
c Remove file events.lhe (otherwise event combination gets screwed up)
write(*,*) 'Deleting file events.lhe'
open(unit=67,file='events.lhe',status='unknown')
write(67,*)
close(67)
open(unit=67, file='grid_information')
write(67,*) ''
close(67)
stop
end
subroutine average_grid(j,k,grid,grid2,x)
c**************************************************************************
c Special routine to deal with averaging over the grid bins
c This routine starts averaging at bin k rather than bin 1 so that
c one can accommodate cutoffs. With k=1 this should give the
c standard sample/vegas/bases averaging results.
c
c Also stops averaging when reaches maximum value
c
c**************************************************************************
implicit none
c
c Constants
c
include 'genps.inc'
c
c Arguments
c
integer j,k
double precision grid(2,ng,0:maxinvar),grid2(0:ng,maxinvar)
double precision x(maxinvar)
c
c Local
c
integer i,kmax
double precision xo,xn
c-----
c Begin Code
c-----
kmax=k
do i=k+1,ng
if (grid(1,i,j) .gt. 0d0) kmax=i
enddo
xo = grid(1,k,j)
xn = grid(1,k+1,j)
grid(1,k,j) = (xo+xn)/2d0
x(j) = grid(1,k,j)
c do i=k+1,ng-1 !Original without kmax stuff
do i=k+1,kmax-1
grid(1, i, j) = xo + xn
xo = xn
xn = grid(1, i+1, j)
grid(1, i, j) = (grid(1, i, j) + xn) / 3d0
x(j) = x(j) + grid(1, i, j)
end do
c grid(1, ng, j) = (xn + xo) / 2d0 !Original without kmax stuff
grid(1, kmax, j) = (xn + xo) / 2d0
x(j) = x(j) + grid(1, kmax, j)
end
double precision function xbin(y,j)
c**************************************************************************
c Subroutine to determine which value y will map to give you the
c value of x when put through grid j. That is what random number
c do you need to be given to get the value x out of grid j and will be
c between 0 < x < ng.
c**************************************************************************
implicit none
c
c Constants
c
include 'genps.inc'
double precision tol
parameter (tol=1d-12)
c
c Arguments
c
double precision y
integer j
c
c Local
c
integer i,jl,ju
double precision x,xo
c
c Global
c
double precision grid(2, ng, 0:maxinvar)
common /data_grid/ grid
double precision spole(maxinvar),swidth(maxinvar),bwjac
common/to_brietwigner/spole ,swidth ,bwjac
c
c Data
c
data spole,swidth/maxinvar*0d0,maxinvar*0d0/
c-----
c Begin Code
c-----
bwjac = 1d0
if (j .gt. 0) then
if (swidth(j) .gt. 0d0) then
call untranspole(spole(j),swidth(j),x,y,bwjac)
else
x=y
endif
else
x=y
endif
if (x .eq. xgmax) then
i=ng
xbin = dble(ng)
elseif (x .eq. xgmin) then
xbin=0d0
elseif(x .le. grid(2,1,j)) then
i=1
xo = grid(2,i,j)-xgmin
xbin = dble(i)+(x-grid(2,i,j))/xo
else
jl = 1
ju = ng
do while (ju-jl .gt. 1) !Binary search
i = (ju-jl)/2+jl
if (grid(2,i,j) .le. x) then
jl=i
else
ju=i
endif
enddo
i=ju
xo = grid(2,i,j)-grid(2,i-1,j)
xbin = dble(i)+(x-grid(2,i,j))/xo
endif
c jbin=i
c x =
c if (x+tol .gt. grid(2,i,j) .and. i .ne. ng) then
c write(*,'(a,2e23.16,e9.2)') 'Warning in DSAMPLE:JBIN ',
c & x,grid(2,i,j),tol
c x=2d0*grid(2,i,j)-x
c jbin=i+1
c endif
end
subroutine sample_write_g(idim,cpost)
c**************************************************************************
c Writes out grid in function form for dimension i with extension cpost
c
c**************************************************************************
implicit none
c
c Constants
c
include 'genps.inc'
c
c Arguments
c
integer idim
character*(*) cpost
c
c Local
c
character*60 fname
integer i
double precision xo,yo
c
c Global
c
double precision grid(2, ng, 0:maxinvar)
common /data_grid/ grid
c-----
c Begin Code
c-----
return
if (idim .lt. 1 .or. idim .gt.maxinvar) then
write(*,*) 'Error invalid dimension in sample_write_f',idim
return
endif
if (idim .lt. 10) then
write(fname,'(a,i1,a,a)') 'g_',idim,cpost,'.dat'
elseif (idim .lt. 100) then
write(fname,'(a,i2,a,a)') 'g_',idim,cpost,'.dat'
endif
open(unit=21,file=fname,status='unknown',err=99)
do i=1,ng-1
xo = (grid(2,i,idim)+grid(2,i+1,idim))/2d0
yo =1d0/(-grid(2,i,idim)+grid(2,i+1,idim))
write(21,*) xo,yo
enddo
close(21)
return
99 write(*,*) 'Error opening file ',fname
end
function ran1(idum)
dimension r(97)
parameter (m1=259200,ia1=7141,ic1=54773,rm1=3.8580247e-6)
parameter (m2=134456,ia2=8121,ic2=28411,rm2=7.4373773e-6)
parameter (m3=243000,ia3=4561,ic3=51349)
data iff /0/
save r, ix1, ix2, ix3
if (idum.lt.0.or.iff.eq.0) then
iff=1
ix1=mod(ic1-idum,m1)
ix1=mod(ia1*ix1+ic1,m1)
ix2=mod(ix1,m2)
ix1=mod(ia1*ix1+ic1,m1)
ix3=mod(ix1,m3)
do 11 j=1,97
ix1=mod(ia1*ix1+ic1,m1)
ix2=mod(ia2*ix2+ic2,m2)
r(j)=(float(ix1)+float(ix2)*rm2)*rm1
11 continue
idum=1
endif
ix1=mod(ia1*ix1+ic1,m1)
ix2=mod(ia2*ix2+ic2,m2)
ix3=mod(ia3*ix3+ic3,m3)
j=1+(97*ix3)/m3
if(j.gt.97.or.j.lt.1) stop
ran1=r(j)
r(j)=(float(ix1)+float(ix2)*rm2)*rm1
return
end
subroutine reset_cumulative_variable()
C Reset to zero all the variable which evaluates the cross-section.
C grid information for the current-grid/non-zero entry/...
C This is used to avoid the (small) bias introduce in the first iteration
C Due to the initialization of the helicity sum.
implicit none
include 'genps.inc'
double precision grid2(0:ng,maxinvar)
integer inon_zero(ng,maxinvar), non_zero
common/to_grid2/grid2,inon_zero, non_zero
double precision grid(2, ng, 0:maxinvar)
common /data_grid/ grid
double precision tmean, trmean, tsigma
integer dim, events, itm, kn, cur_it, invar, configs
common /sample_common/
. tmean, trmean, tsigma, dim, events, itm, kn, cur_it, invar, configs
C LOCAL
integer i,j
write(*,*) "RESET CUMULATIVE VARIABLE"
non_zero = 0
do j=1,maxinvar
do i=1,ng -1
inon_zero = 0
grid2(i,j) = 0
grid(1,i,j) = 0
enddo
enddo
tmean = 0.0
trmean = 0.0
tsigma = 0.0
kn = 0
return
end
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