Provided by: mcstas-mcrun_3.5+0.0~git20240801183257.cdaa431+ds5-2_amd64
NAME
mcrun - Running mcstas simulations from the command-line
SYNOPSIS
mcrun [-cpnN] INSTR [-sndftgahi] params={val|min,max|min,guess,max}... [-hB][-c CMD][-f FROM][-n NAME][-o DIR][-s SCRIPT]
DESCRIPTION
The mcrun front-end provides a convenient command-line interface for running simulations with the same automatic compilation features. It also provides a facility for running a series of simulations while varying an input parameter, as well as a multiparameter non- linear optimisation. The command mcrun sim args ... will compile the instrument definition INSTR e.g. sim.instr (if necessary) into an executable simulation sim.out. It will then run sim.out, passing the argument list args usually given as a series of param=value pairs. The -h option will list valid options.
OPTIONS
–version show program’s version number and exit -h, –help show this help message and exit -c, –force-compile force rebuilding of instrument. This may be needed in case any component definitions are changed (in which case mcrun does not automatically recompile), or if a new version of mcstas has been installed. -I I Append path I to McCode search path (implies -c) –D1=D1 Set extra -D args (implies -c) –D2=D2 Set extra -D args (implies -c) –D3=D3 Set extra -D args (implies -c) -p FILE, –param=FILE Read parameters from file FILE The file should consist of specifications of the form name =value separated by spaces or line breaks. Multiple -p options may be given together with direct parameter specifications on the command line. If a parameter is assigned multiple times, later assignments override previous ones. -N NP, –numpoints=NP Set number of scan points, varying one or more parameters within specified intervals. Such a series of simulations is called a scan. To specify an interval for a parameter X, it should be assigned two values separated by a comma. For example, the command mcrun sim.instr -N4 X=2,8 Y=1 would run the simulation defined in sim.instr four times, with X having the values 2, 4, 6, and 8, respectively. After running the simulation, the results will be written to the file mccode.dat by default. This file contains one line for each simulation run giving the values of the scanned input variables along with the integrated intensity and estimated error in all monitors -L, –list Use a fixed list of points for linear scanning -M, –multi Run a multi-dimensional scan –autoplot Open plotter on generated dataset –autoplotter=AUTOPLOTTER Specify the plotter used with –autoplot –embed Store copy of instrument file in output directory –mpi=NB_CPU Spread simulation over NB_CPU machines using MPI –openacc parallelize using openacc –funnel funneling simulation flow, e.g. for mixed CPU/GPU –machines=machines Defines path of MPI machinefile to use in parallel mode –optimise-file=FILE Store scan results in FILE (defaults to: “mccode.dat”) –no-cflags Disable optimising compiler flags for faster compilation –no-main Do not generate a main(), e.g. for use with mcstas2vitess.pl. Implies -c –verbose Enable verbose output –write-user-config Generate a user config file –override-config=PATH Load config file from specific dir –optimize Optimize instrument variable parameters to maximize monitors –optimize-maxiter=optimize_maxiter Maximum number of optimization iterations to perform –optimize-tol=optimize_tol Tolerance for optimization termination. When optimizetol is specified, the selected optimization algorithm sets some rele‐ vant solver-specific tolerance(s) equal to optimize-tol –optimize-method=optimize_method Optimization solver in ['powell', 'nelder-mead', 'cg', 'bfgs', 'newton-cg', 'l- bfgs-b', 'tnc', 'cobyla', 'slsqp', 'trust-con‐ str', 'dogleg', 'trust-ncg', 'trust-exact', 'trust-krylov'] (de‐ fault: powell) You can use your custom method method(fun, x0, args, **kwargs, **options). Please refer to scipy documentation for proper use of it: https://docs.scipy .org/doc/scipy/refer‐ ence/generated/scipy.optimize.mini mize.html?highlight=minimize –optimize-minimize Choose to minimize the monitors instead of maximize –optimize-monitor=optimize_monitor Name of a single monitor to optimize (default is to use all) –showcfg=ITEM Print selected cfg item and exit (paths are resolved and abso‐ lute). Allowed values are “bindir”, “libdir”, “resourcedir”, and “tooldir”. INSTRUMENT OPTIONS -s SEED, –seed=SEED Set random seed (must be: SEED != 0) -n COUNT, –ncount=COUNT Set number of neutron to simulate -t trace, –trace=trace Enable trace of neutron through instrument -d DIR, –dir=DIR Put all data files in directory DIR. Additionally, the directory will have subdirectories 1, 2, 3,. . . containing all data files output from the different simulations. –format=FORMAT Output data files using format FORMAT, usually McCode or NeXus (format list obtained from .out -h) –bufsiz=BUFSIZ Monitor_nD list/buffer-size (defaults to 1000000) –vecsize=VECSIZE vector length in OpenACC parallel scenarios –numgangs=NUMGANGS number of `gangs' in OpenACC parallel scenarios –gpu_innerloop=INNERLOOP Maximum particles in an OpenACC kernel run. (If INNERLOOP is smaller than ncount we repeat) –no-output-files Do not write any data files -i, –info Detailed instrument information –list-parameters Print the instrument parameters to standard out –meta-list Print all metadata defining component names –meta-defined=META_DEFINED Print metadata names for component, or indicate if component:name exists. –meta-type=META_TYPE Print metadata type for component:name –meta-data=META_DATA Print metadata for component:name
FILES
/usr/share/mcstas/resources /usr/share/mcstas/tools/Python/mccodelib/mccode_config.json ~/.mcstas/mccode_config.json http://www.mcstas.org
EXAMPLES
Run the Test_SX example (Single crystal diffraction) • mcrun Test_SX.instr -d output_dir -n 1e7 TTH=13.4
AUTHORS
mcstas Team (mcstas.org)
SEE ALSO
mcstas(1), mcdoc(1), mcplot(1), mcrun(1), mcgui(1), mcdisplay(1)
AUTHORS
MCSTAS neutron Ray Tracing Team. git mcRUN(1)