/*
LPL Model Calibration Example: Use this sample file to begin analyzing PFGE or DSB formation and rejoining data.  The LPL and RMR models can be used to generate mono-exponential fits (ETA=0).  Use the TLK to generate a bi-exponential fit.  Quadratic repair models can also be fit to the measured data (i.e., set RHT=0 and treat ETA as an adjustable parameter; see Fowler 2002).  If the dataset includes multiple doses and/or rates, two parameter fits may be possible (DSB and RHT parameters).  If the measured data are in terms of FAR, set KX FMAX  to the appropriate value (sensitivity studies may also be useful).  The cell DNA content (DNA) and the average number of chromosomes per cell (NC) must also be specified in order to analyze FAR data.
*/
   MODEL: DRM=LPL
   CELL: DNA=5.667D+09 NC=46
   IRAD: DSB=25 FL=0.1
   CLRP: RHT=2.0 ETA=0.0   GAM=0.25
   RBM: KX=6.0E+06 FMAX=1   !Analysis of PFGE data

!  Parameters that impact on solution accuracy
   SOLVER: DBLV=0 ETOL=1.0E-09 MXSS=999999 HMAX=10

!  Parameters that control the time steps and stopping criteria
   SIMCON: FSDX=1 TSAX=1 TCUT=96 FRDL=1.0D+00 RCUT=1.0D-09

   BCONF: MITR=999999 MXFN=9999999 SGT=1.0D-06 SST=1.0D-12 FCT=1.0D-12
   MCAT: NPAR=1
   AMP1: CID=CLRP PNAM=RHT   PLB=0.01 PUB=24.0 PIG=3
   AMP2: CID=IRAD  PNAM=DSB   PLB=0 PUB=80.0 PIG=40

/*
  Figure of Merit (FOM) Weight
  1: cell survival data
  2: DSB rejoining data (FAR)
  3: DSB rejoining data (Avg. DSB/cell)
  4: Transformed cells per survivor
  5: Transformed cells per irradiated cell
 */
  FOM: UW=LFWT
  LFWT = 0 1 1 0 0 /