Re: phDOS and a2F not matching
Posted: Thu Apr 20, 2023 9:58 pm
				
				Yes, I think. You need to make sure that the format of you file should be same as the one shown in the post.
Happy EPWing,
Hari
			Happy EPWing,
Hari
Code: Select all
The following have been reloaded with a version change:
  1) compiler/intel-mpi/mpi-2019-v5 => compiler/intel-mpi/mpi-2020-v4
[cn138:247733:0:247733] Caught signal 8 (Floating point exception: integer divide by zero)
==== backtrace (tid: 247733) ====
 0 0x0000000000480c21 epw_readin_()  /home/19ph90j04/q-e-push/EPW/src/epw_readin.f90:818
 1 0x000000000040bd4e MAIN__()  /home/19ph90j04/q-e-push/EPW/src/epw.f90:90
 2 0x000000000040b512 main()  ???:0
 3 0x0000000000022555 __libc_start_main()  ???:0
 4 0x000000000040b429 _start()  ???:0
=================================
forrtl: severe (71): integer divide by zero
Image              PC                Routine            Line        Source
epw.x              0000000001128844  Unknown               Unknown  Unknown
libpthread-2.17.s  00002B99479C9630  Unknown               Unknown  Unknown
epw.x              0000000000480C21  epw_readin_               818  epw_readin.f90
epw.x              000000000040BD4E  MAIN__                     90  epw.f90
epw.x              000000000040B512  Unknown               Unknown  Unknown
libc-2.17.so       00002B9947EFA555  __libc_start_main     Unknown  Unknown
epw.x              000000000040B429  Unknown               Unknown  Unknown
Code: Select all
           151            crystal
0.5000000   0.0000000   0.0000000  0.0132450
0.4966660   0.0066660   0.0000000  0.0132450
0.4933320   0.0133320   0.0000000  0.0132450
0.4899980   0.0199980   0.0000000  0.0132450
0.4866640   0.0266640   0.0000000  0.0132450
0.4833300   0.0333300   0.0000000  0.0132450
0.4799960   0.0399960   0.0000000  0.0132450
0.4766620   0.0466620   0.0000000  0.0132450
0.4733280   0.0533280   0.0000000  0.0132450
0.4699940   0.0599940   0.0000000  0.0132450
0.4666600   0.0666600   0.0000000  0.0132450
0.4633260   0.0733260   0.0000000  0.0132450
0.4599920   0.0799920   0.0000000  0.0132450
0.4566580   0.0866580   0.0000000  0.0132450
0.4533240   0.0933240   0.0000000  0.0132450
0.4499900   0.0999900   0.0000000  0.0132450
0.4466560   0.1066560   0.0000000  0.0132450
0.4433220   0.1133220   0.0000000  0.0132450
0.4399880   0.1199880   0.0000000  0.0132450
0.4366540   0.1266540   0.0000000  0.0132450
0.4333200   0.1333200   0.0000000  0.0132450
0.4299860   0.1399860   0.0000000  0.0132450
0.4266520   0.1466520   0.0000000  0.0132450
0.4233180   0.1533180   0.0000000  0.0132450
0.4199840   0.1599840   0.0000000  0.0132450
0.4166500   0.1666500   0.0000000  0.0132450
0.4133160   0.1733160   0.0000000  0.0132450
0.4099820   0.1799820   0.0000000  0.0132450
0.4066480   0.1866480   0.0000000  0.0132450
0.4033140   0.1933140   0.0000000  0.0132450
0.3999800   0.1999800   0.0000000  0.0132450
0.3966460   0.2066460   0.0000000  0.0132450
0.3933120   0.2133120   0.0000000  0.0132450
0.3899780   0.2199780   0.0000000  0.0132450
0.3866440   0.2266440   0.0000000  0.0132450
0.3833100   0.2333100   0.0000000  0.0132450
0.3799760   0.2399760   0.0000000  0.0132450
0.3766420   0.2466420   0.0000000  0.0132450
0.3733080   0.2533080   0.0000000  0.0132450
0.3699740   0.2599740   0.0000000  0.0132450
0.3666400   0.2666400   0.0000000  0.0132450
0.3633060   0.2733060   0.0000000  0.0132450
0.3599720   0.2799720   0.0000000  0.0132450
0.3566380   0.2866380   0.0000000  0.0132450
0.3533040   0.2933040   0.0000000  0.0132450
0.3499700   0.2999700   0.0000000  0.0132450
0.3466360   0.3066360   0.0000000  0.0132450
0.3433020   0.3133020   0.0000000  0.0132450
0.3399680   0.3199680   0.0000000  0.0132450
0.3366340   0.3266340   0.0000000  0.0132450
0.3333000   0.3333000   0.0000000  0.0132450
0.3266340   0.3266340   0.0000000  0.0132450
0.3199680   0.3199680   0.0000000  0.0132450
0.3133020   0.3133020   0.0000000  0.0132450
0.3066360   0.3066360   0.0000000  0.0132450
0.2999700   0.2999700   0.0000000  0.0132450
0.2933040   0.2933040   0.0000000  0.0132450
0.2866380   0.2866380   0.0000000  0.0132450
0.2799720   0.2799720   0.0000000  0.0132450
0.2733060   0.2733060   0.0000000  0.0132450
0.2666400   0.2666400   0.0000000  0.0132450
0.2599740   0.2599740   0.0000000  0.0132450
0.2533080   0.2533080   0.0000000  0.0132450
0.2466420   0.2466420   0.0000000  0.0132450
0.2399760   0.2399760   0.0000000  0.0132450
0.2333100   0.2333100   0.0000000  0.0132450
0.2266440   0.2266440   0.0000000  0.0132450
0.2199780   0.2199780   0.0000000  0.0132450
0.2133120   0.2133120   0.0000000  0.0132450
0.2066460   0.2066460   0.0000000  0.0132450
0.1999800   0.1999800   0.0000000  0.0132450
0.1933140   0.1933140   0.0000000  0.0132450
0.1866480   0.1866480   0.0000000  0.0132450
0.1799820   0.1799820   0.0000000  0.0132450
0.1733160   0.1733160   0.0000000  0.0132450
0.1666500   0.1666500   0.0000000  0.0132450
0.1599840   0.1599840   0.0000000  0.0132450
0.1533180   0.1533180   0.0000000  0.0132450
0.1466520   0.1466520   0.0000000  0.0132450
0.1399860   0.1399860   0.0000000  0.0132450
0.1333200   0.1333200   0.0000000  0.0132450
0.1266540   0.1266540   0.0000000  0.0132450
0.1199880   0.1199880   0.0000000  0.0132450
0.1133220   0.1133220   0.0000000  0.0132450
0.1066560   0.1066560   0.0000000  0.0132450
0.0999900   0.0999900   0.0000000  0.0132450
0.0933240   0.0933240   0.0000000  0.0132450
0.0866580   0.0866580   0.0000000  0.0132450
0.0799920   0.0799920   0.0000000  0.0132450
0.0733260   0.0733260   0.0000000  0.0132450
0.0666600   0.0666600   0.0000000  0.0132450
0.0599940   0.0599940   0.0000000  0.0132450
0.0533280   0.0533280   0.0000000  0.0132450
0.0466620   0.0466620   0.0000000  0.0132450
0.0399960   0.0399960   0.0000000  0.0132450
0.0333300   0.0333300   0.0000000  0.0132450
0.0266640   0.0266640   0.0000000  0.0132450
0.0199980   0.0199980   0.0000000  0.0132450
0.0133320   0.0133320   0.0000000  0.0132450
0.0066660   0.0066660   0.0000000  0.0132450
0.0000000   0.0000000   0.0000000  0.0132450
0.0100000   0.0000000   0.0000000  0.0132450
0.0200000   0.0000000   0.0000000  0.0132450
0.0300000   0.0000000   0.0000000  0.0132450
0.0400000   0.0000000   0.0000000  0.0132450
0.0500000   0.0000000   0.0000000  0.0132450
0.0600000   0.0000000   0.0000000  0.0132450
0.0700000   0.0000000   0.0000000  0.0132450
0.0800000   0.0000000   0.0000000  0.0132450
0.0900000   0.0000000   0.0000000  0.0132450
0.1000000   0.0000000   0.0000000  0.0132450
0.1100000   0.0000000   0.0000000  0.0132450
0.1200000   0.0000000   0.0000000  0.0132450
0.1300000   0.0000000   0.0000000  0.0132450
0.1400000   0.0000000   0.0000000  0.0132450
0.1500000   0.0000000   0.0000000  0.0132450
0.1600000   0.0000000   0.0000000  0.0132450
0.1700000   0.0000000   0.0000000  0.0132450
0.1800000   0.0000000   0.0000000  0.0132450
0.1900000   0.0000000   0.0000000  0.0132450
0.2000000   0.0000000   0.0000000  0.0132450
0.2100000   0.0000000   0.0000000  0.0132450
0.2200000   0.0000000   0.0000000  0.0132450
0.2300000   0.0000000   0.0000000  0.0132450
0.2400000   0.0000000   0.0000000  0.0132450
0.2500000   0.0000000   0.0000000  0.0132450
0.2600000   0.0000000   0.0000000  0.0132450
0.2700000   0.0000000   0.0000000  0.0132450
0.2800000   0.0000000   0.0000000  0.0132450
0.2900000   0.0000000   0.0000000  0.0132450
0.3000000   0.0000000   0.0000000  0.0132450
0.3100000   0.0000000   0.0000000  0.0132450
0.3200000   0.0000000   0.0000000  0.0132450
0.3300000   0.0000000   0.0000000  0.0132450
0.3400000   0.0000000   0.0000000  0.0132450
0.3500000   0.0000000   0.0000000  0.0132450
0.3600000   0.0000000   0.0000000  0.0132450
0.3700000   0.0000000   0.0000000  0.0132450
0.3800000   0.0000000   0.0000000  0.0132450
0.3900000   0.0000000   0.0000000  0.0132450
0.4000000   0.0000000   0.0000000  0.0132450
0.4100000   0.0000000   0.0000000  0.0132450
0.4200000   0.0000000   0.0000000  0.0132450
0.4300000   0.0000000   0.0000000  0.0132450
0.4400000   0.0000000   0.0000000  0.0132450
0.4500000   0.0000000   0.0000000  0.0132450
0.4600000   0.0000000   0.0000000  0.0132450
0.4700000   0.0000000   0.0000000  0.0132450
0.4800000   0.0000000   0.0000000  0.0132450
0.4900000   0.0000000   0.0000000  0.0132450
0.5000000   0.0000000   0.0000000  0.0132450
Code: Select all
--
&inputepw
  prefix      = 'nsms',
  outdir      = './out/'
  ep_coupling = .true.
  elph        = .true.
  epbwrite    = .true.
  epbread     = .false.
  epwwrite = .true.
  epwread  = .false.
  !etf_mem     =  1 
  nbndsub     =  17,
  !nbndskip = 0
  bands_skipped = 'exclude_bands = 1:12,30,31'
  wannierize  = .true.
  num_iter    = 500
  dis_froz_max= 4.6
  dis_froz_min= -5.8
  !wdata(1)    = 'exclude_bands=30,31'
  wdata(1)   = 'dis_mix_ratio   = 0.5'
  wdata(2)   = 'dis_num_iter    = 2000'
  wdata(3)    = 'bands_plot : true'
  wdata(4)    = 'bands_num_points : 300'
  wdata(5)    = 'bands_plot_format : xmgrace gnuplot'
  wdata(6)    = 'begin kpoint_path'
  wdata(7)    = 'M 0.5 0.0 0.0 K 0.3333 0.3333 0.0'
  wdata(8)    = 'K 0.3333 0.3333 0.0 G 0.0 0.0 0.0'
  wdata(9)    = 'G 0.0 0.0 0.0 M 0.5 0.0 0.0'
  wdata(10)    = 'end kpoint_path'
  eps_acustic = 0.1    ! Lowest boundary for the phonon frequency 
  ephwrite    = .true. ! Writes .ephmat files used when Eliasberg = .true.
  nsmear      = 1
  delta_smear = 0.01 ! eV 0.04
  degaussq     = 0.5 ! meV
  nqstep       = 500
  eliashberg  = .true.
  laniso = .true.
  limag = .true.
  lpade = .true.
  !lifc = .true.
  band_plot=.true.  ! wannier-bands
  filkf = 'kpath.dat'
  filqf = 'kpath.dat'
  fermi_plot = .true.
  conv_thr_iaxis = 1.0d-4
  temps(1)  = 12
  temps(2)  = 24
  nsiter   = 500
  degaussw    = 0.04 ! eV ~  1/4 of fsthick
  wscut = 0.4   ! eV 10 times of  Upper limit over frequency integration/summation in the Elisashberg eq(1 cm-1 ~ 1/8000 eV)
  fsthick     = 0.5  ! eV ~ 4 times the maximum phonon frequency 
  muc     = 0.1
  dvscf_dir   = '../ph4/save'
  
  !system_2d = .true.
  nk1         = 12
  nk2         = 12
  nk3         = 1
  nq1         = 4
  nq2         = 4
  nq3         = 1
 /
Code: Select all
           151            crystal
0.5000000   0.0000000   0.0000000  0.00662251656 
0.4966660   0.0066660   0.0000000  0.00662251656 
0.4933320   0.0133320   0.0000000  0.00662251656
0.4899980   0.0199980   0.0000000  0.00662251656
0.4866640   0.0266640   0.0000000  0.00662251656
0.4833300   0.0333300   0.0000000  0.00662251656
0.4799960   0.0399960   0.0000000  0.00662251656
0.4766620   0.0466620   0.0000000  0.00662251656
0.4733280   0.0533280   0.0000000  0.00662251656
0.4699940   0.0599940   0.0000000  0.00662251656
0.4666600   0.0666600   0.0000000  0.00662251656
0.4633260   0.0733260   0.0000000  0.00662251656
0.4599920   0.0799920   0.0000000  0.00662251656
0.4566580   0.0866580   0.0000000  0.00662251656
0.4533240   0.0933240   0.0000000  0.00662251656
0.4499900   0.0999900   0.0000000  0.00662251656
0.4466560   0.1066560   0.0000000  0.00662251656
0.4433220   0.1133220   0.0000000  0.00662251656
0.4399880   0.1199880   0.0000000  0.00662251656
0.4366540   0.1266540   0.0000000  0.00662251656
0.4333200   0.1333200   0.0000000  0.00662251656
0.4299860   0.1399860   0.0000000  0.00662251656
0.4266520   0.1466520   0.0000000  0.00662251656
0.4233180   0.1533180   0.0000000  0.00662251656
0.4199840   0.1599840   0.0000000  0.00662251656
0.4166500   0.1666500   0.0000000  0.00662251656
0.4133160   0.1733160   0.0000000  0.00662251656
0.4099820   0.1799820   0.0000000  0.00662251656
0.4066480   0.1866480   0.0000000  0.00662251656
0.4033140   0.1933140   0.0000000  0.00662251656
0.3999800   0.1999800   0.0000000  0.00662251656
0.3966460   0.2066460   0.0000000  0.00662251656
0.3933120   0.2133120   0.0000000  0.00662251656
0.3899780   0.2199780   0.0000000  0.00662251656
0.3866440   0.2266440   0.0000000  0.00662251656
0.3833100   0.2333100   0.0000000  0.00662251656
0.3799760   0.2399760   0.0000000  0.00662251656
0.3766420   0.2466420   0.0000000  0.00662251656
0.3733080   0.2533080   0.0000000  0.00662251656
0.3699740   0.2599740   0.0000000  0.00662251656
0.3666400   0.2666400   0.0000000  0.00662251656
0.3633060   0.2733060   0.0000000  0.00662251656
0.3599720   0.2799720   0.0000000  0.00662251656
0.3566380   0.2866380   0.0000000  0.00662251656
0.3533040   0.2933040   0.0000000  0.00662251656
0.3499700   0.2999700   0.0000000  0.00662251656
0.3466360   0.3066360   0.0000000  0.00662251656
0.3433020   0.3133020   0.0000000  0.00662251656
0.3399680   0.3199680   0.0000000  0.00662251656
0.3366340   0.3266340   0.0000000  0.00662251656
0.3333000   0.3333000   0.0000000  0.00662251656
0.3266340   0.3266340   0.0000000  0.00662251656
0.3199680   0.3199680   0.0000000  0.00662251656
0.3133020   0.3133020   0.0000000  0.00662251656
0.3066360   0.3066360   0.0000000  0.00662251656
0.2999700   0.2999700   0.0000000  0.00662251656
0.2933040   0.2933040   0.0000000  0.00662251656
0.2866380   0.2866380   0.0000000  0.00662251656
0.2799720   0.2799720   0.0000000  0.00662251656
0.2733060   0.2733060   0.0000000  0.00662251656
0.2666400   0.2666400   0.0000000  0.00662251656
0.2599740   0.2599740   0.0000000  0.00662251656
0.2533080   0.2533080   0.0000000  0.00662251656
0.2466420   0.2466420   0.0000000  0.00662251656
0.2399760   0.2399760   0.0000000  0.00662251656
0.2333100   0.2333100   0.0000000  0.00662251656
0.2266440   0.2266440   0.0000000  0.00662251656
0.2199780   0.2199780   0.0000000  0.00662251656
0.2133120   0.2133120   0.0000000  0.00662251656
0.2066460   0.2066460   0.0000000  0.00662251656
0.1999800   0.1999800   0.0000000  0.00662251656
0.1933140   0.1933140   0.0000000  0.00662251656
0.1866480   0.1866480   0.0000000  0.00662251656
0.1799820   0.1799820   0.0000000  0.00662251656
0.1733160   0.1733160   0.0000000  0.00662251656
0.1666500   0.1666500   0.0000000  0.00662251656
0.1599840   0.1599840   0.0000000  0.00662251656
0.1533180   0.1533180   0.0000000  0.00662251656
0.1466520   0.1466520   0.0000000  0.00662251656
0.1399860   0.1399860   0.0000000  0.00662251656
0.1333200   0.1333200   0.0000000  0.00662251656
0.1266540   0.1266540   0.0000000  0.00662251656
0.1199880   0.1199880   0.0000000  0.00662251656
0.1133220   0.1133220   0.0000000  0.00662251656
0.1066560   0.1066560   0.0000000  0.00662251656
0.0999900   0.0999900   0.0000000  0.00662251656
0.0933240   0.0933240   0.0000000  0.00662251656
0.0866580   0.0866580   0.0000000  0.00662251656
0.0799920   0.0799920   0.0000000  0.00662251656
0.0733260   0.0733260   0.0000000  0.00662251656
0.0666600   0.0666600   0.0000000  0.00662251656
0.0599940   0.0599940   0.0000000  0.00662251656
0.0533280   0.0533280   0.0000000  0.00662251656
0.0466620   0.0466620   0.0000000  0.00662251656
0.0399960   0.0399960   0.0000000  0.00662251656
0.0333300   0.0333300   0.0000000  0.00662251656
0.0266640   0.0266640   0.0000000  0.00662251656
0.0199980   0.0199980   0.0000000  0.00662251656
0.0133320   0.0133320   0.0000000  0.00662251656
0.0066660   0.0066660   0.0000000  0.00662251656
0.0000000   0.0000000   0.0000000  0.00662251656
0.0100000   0.0000000   0.0000000  0.00662251656
0.0200000   0.0000000   0.0000000  0.00662251656
0.0300000   0.0000000   0.0000000  0.00662251656
0.0400000   0.0000000   0.0000000  0.00662251656
0.0500000   0.0000000   0.0000000  0.00662251656
0.0600000   0.0000000   0.0000000  0.00662251656
0.0700000   0.0000000   0.0000000  0.00662251656
0.0800000   0.0000000   0.0000000  0.00662251656
0.0900000   0.0000000   0.0000000  0.00662251656
0.1000000   0.0000000   0.0000000  0.00662251656
0.1100000   0.0000000   0.0000000  0.00662251656
0.1200000   0.0000000   0.0000000  0.00662251656
0.1300000   0.0000000   0.0000000  0.00662251656
0.1400000   0.0000000   0.0000000  0.00662251656
0.1500000   0.0000000   0.0000000  0.00662251656
0.1600000   0.0000000   0.0000000  0.00662251656
0.1700000   0.0000000   0.0000000  0.00662251656
0.1800000   0.0000000   0.0000000  0.00662251656
0.1900000   0.0000000   0.0000000  0.00662251656
0.2000000   0.0000000   0.0000000  0.00662251656
0.2100000   0.0000000   0.0000000  0.00662251656
0.2200000   0.0000000   0.0000000  0.00662251656
0.2300000   0.0000000   0.0000000  0.00662251656
0.2400000   0.0000000   0.0000000  0.00662251656
0.2500000   0.0000000   0.0000000  0.00662251656
0.2600000   0.0000000   0.0000000  0.00662251656
0.2700000   0.0000000   0.0000000  0.00662251656
0.2800000   0.0000000   0.0000000  0.00662251656
0.2900000   0.0000000   0.0000000  0.00662251656
0.3000000   0.0000000   0.0000000  0.00662251656
0.3100000   0.0000000   0.0000000  0.00662251656
0.3200000   0.0000000   0.0000000  0.00662251656
0.3300000   0.0000000   0.0000000  0.00662251656
0.3400000   0.0000000   0.0000000  0.00662251656
0.3500000   0.0000000   0.0000000  0.00662251656
0.3600000   0.0000000   0.0000000  0.00662251656
0.3700000   0.0000000   0.0000000  0.00662251656
0.3800000   0.0000000   0.0000000  0.00662251656
0.3900000   0.0000000   0.0000000  0.00662251656
0.4000000   0.0000000   0.0000000  0.00662251656
0.4100000   0.0000000   0.0000000  0.00662251656
0.4200000   0.0000000   0.0000000  0.00662251656
0.4300000   0.0000000   0.0000000  0.00662251656
0.4400000   0.0000000   0.0000000  0.00662251656
0.4500000   0.0000000   0.0000000  0.00662251656
0.4600000   0.0000000   0.0000000  0.00662251656
0.4700000   0.0000000   0.0000000  0.00662251656
0.4800000   0.0000000   0.0000000  0.00662251656
0.4900000   0.0000000   0.0000000  0.00662251656
0.5000000   0.0000000   0.0000000  0.00662251656
Code: Select all
--
&inputepw
  prefix      = 'nsms',
  outdir      = './out/'
  ep_coupling = .true.
  elph        = .true.
  epbwrite    = .true.
  epbread     = .false.
  epwwrite = .true.
  epwread  = .false.
  !etf_mem     =  1
  nbndsub     =  17,
  !nbndskip = 0
  bands_skipped = 'exclude_bands = 1:12,30,31'
  wannierize  = .true.
  num_iter    = 500
  dis_froz_max= 4.6
  dis_froz_min= -5.8
  !wdata(1)    = 'exclude_bands=30,31'
  wdata(1)   = 'dis_mix_ratio   = 0.5'
  wdata(2)   = 'dis_num_iter    = 2000'
  wdata(3)    = 'bands_plot : true'
  wdata(4)    = 'bands_num_points : 300'
  wdata(5)    = 'bands_plot_format : xmgrace gnuplot'
  wdata(6)    = 'begin kpoint_path'
  wdata(7)    = 'M 0.5 0.0 0.0 K 0.3333 0.3333 0.0'
  wdata(8)    = 'K 0.3333 0.3333 0.0 G 0.0 0.0 0.0'
  wdata(9)    = 'G 0.0 0.0 0.0 M 0.5 0.0 0.0'
  wdata(10)    = 'end kpoint_path'
  band_plot=.true.  ! wannier-bands
  filkf = 'kpath.dat'
  filqf = 'kpath.dat'
  dvscf_dir   = '../ph4/save'
  nk1         = 12
  nk2         = 12
  nk3         = 1
  nq1         = 4
  nq2         = 4
  nq3         = 1
 /