# defaultparameters

Fortran module: `defaultparameters`

## Parameters

User-configurable parameters (can be set via `param_dict`):

| Parameter | Type | Default | Description |
|-----------|------|---------|-------------|
| `abstol_factor` | `<class 'numpy.ndarray'>` | `1e-14` |  |
| `abstol_ice_factor` | `<class 'numpy.ndarray'>` | `1e-10` |  |
| `abstol_ice_min` | `<class 'numpy.ndarray'>` | `1e-20` |  |
| `abstol_min` | `<class 'numpy.ndarray'>` | `1e-25` |  |
| `abstol_nh_min` | `<class 'numpy.ndarray'>` | `1.0` |  |
| `abstol_phys_factor` | `<class 'numpy.ndarray'>` | `0.0001` |  |
| `abstol_t_min` | `<class 'numpy.ndarray'>` | `0.01` |  |
| `abundloadfile` | `<class 'numpy.ndarray'>` | `b'                                                                                                                                                                                                                                                                '` |  |
| `abundsavefile` | `<class 'numpy.ndarray'>` | `b'                                                                                                                                                                                                                                                                '` |  |
| `baseav` | `<class 'numpy.ndarray'>` | `2.0` |  |
| `bm0` | `<class 'numpy.ndarray'>` | `1.0` |  |
| `chemdesorb` | `<class 'numpy.ndarray'>` | `1` |  |
| `columnfile` | `<class 'numpy.ndarray'>` | `b'                                                                                                                                                                                                                                                                '` |  |
| `cosmicrayattenuation` | `<class 'numpy.ndarray'>` | `0` |  |
| `crdesorb` | `<class 'numpy.ndarray'>` | `1` |  |
| `currenttime` | `<class 'numpy.ndarray'>` | `0.0` |  |
| `density_power_index` | `<class 'numpy.ndarray'>` | `2.0` |  |
| `density_scale_radius` | `<class 'numpy.ndarray'>` | `0.05000000074505806` |  |
| `desorb` | `<class 'numpy.ndarray'>` | `1` |  |
| `difftobindratio` | `<class 'numpy.ndarray'>` | `0.5` |  |
| `ebmaxcr` | `<class 'numpy.ndarray'>` | `1210.0` |  |
| `ebmaxh2` | `<class 'numpy.ndarray'>` | `1210.0` |  |
| `ebmaxuvcr` | `<class 'numpy.ndarray'>` | `10000.0` |  |
| `edendothermicityfactor` | `<class 'numpy.ndarray'>` | `0.0` |  |
| `enable_radiative_transfer` | `<class 'numpy.ndarray'>` | `0` |  |
| `endatfinaldensity` | `<class 'numpy.ndarray'>` | `0` |  |
| `enforcechargeconservation` | `<class 'numpy.ndarray'>` | `0` |  |
| `epsilon` | `<class 'numpy.ndarray'>` | `0.009999999776482582` |  |
| `f13c` | `<class 'numpy.ndarray'>` | `0.0` |  |
| `f15n` | `<class 'numpy.ndarray'>` | `0.0` |  |
| `f18o` | `<class 'numpy.ndarray'>` | `0.0` |  |
| `fc` | `<class 'numpy.ndarray'>` | `0.000177` |  |
| `fcl` | `<class 'numpy.ndarray'>` | `3.39e-08` |  |
| `fd` | `<class 'numpy.ndarray'>` | `0.0` |  |
| `ff` | `<class 'numpy.ndarray'>` | `3.6e-08` |  |
| `ffe` | `<class 'numpy.ndarray'>` | `2.01e-07` |  |
| `fh` | `<class 'numpy.ndarray'>` | `0.5` |  |
| `fhe` | `<class 'numpy.ndarray'>` | `0.10000000149011612` |  |
| `finaldens` | `<class 'numpy.ndarray'>` | `100000.0` |  |
| `finaltime` | `<class 'numpy.ndarray'>` | `5000000.0` |  |
| `fli` | `<class 'numpy.ndarray'>` | `0.0` |  |
| `fmg` | `<class 'numpy.ndarray'>` | `2.256e-06` |  |
| `fn` | `<class 'numpy.ndarray'>` | `6.18e-05` |  |
| `fna` | `<class 'numpy.ndarray'>` | `0.0` |  |
| `fo` | `<class 'numpy.ndarray'>` | `0.000334` |  |
| `fp` | `<class 'numpy.ndarray'>` | `7.78e-08` |  |
| `fpah` | `<class 'numpy.ndarray'>` | `0.0` |  |
| `freefall` | `<class 'numpy.ndarray'>` | `0` |  |
| `freefallfactor` | `<class 'numpy.ndarray'>` | `1.0` |  |
| `freezefactor` | `<class 'numpy.ndarray'>` | `1.0` |  |
| `freq_rel_tol` | `<class 'numpy.ndarray'>` | `0.1` |  |
| `fs` | `<class 'numpy.ndarray'>` | `3.51e-06` |  |
| `fsi` | `<class 'numpy.ndarray'>` | `1.78e-06` |  |
| `h2desorb` | `<class 'numpy.ndarray'>` | `0` |  |
| `h2encounterdesorption` | `<class 'numpy.ndarray'>` | `1` |  |
| `h2stickingcoeffbyh2coverage` | `<class 'numpy.ndarray'>` | `0` |  |
| `hdiffusionbarrier` | `<class 'numpy.ndarray'>` | `-1.0` |  |
| `heating_temp_abstol` | `<class 'numpy.ndarray'>` | `1.0` |  |
| `heating_temp_reltol` | `<class 'numpy.ndarray'>` | `0.01` |  |
| `heatingfile` | `<class 'numpy.ndarray'>` | `b'                                                                                                                                                                                                                                                                '` |  |
| `heatingflag` | `<class 'numpy.ndarray'>` | `0` |  |
| `hencounterdesorption` | `<class 'numpy.ndarray'>` | `0` |  |
| `hstickingcoeffbyh2coverage` | `<class 'numpy.ndarray'>` | `0` |  |
| `improvedh2crpdissociation` | `<class 'numpy.ndarray'>` | `0` |  |
| `initialdens` | `<class 'numpy.ndarray'>` | `100.0` |  |
| `initialtemp` | `<class 'numpy.ndarray'>` | `10.0` |  |
| `instantsublimation` | `<class 'numpy.ndarray'>` | `0` |  |
| `ion` | `<class 'numpy.ndarray'>` | `2` |  |
| `ionmodel` | `<class 'numpy.ndarray'>` | `b'L'` |  |
| `logchangethreshold` | `<class 'numpy.ndarray'>` | `1.0` |  |
| `lower_limit_dusttemp` | `<class 'numpy.ndarray'>` | `10.0` |  |
| `lower_limit_gastemp` | `<class 'numpy.ndarray'>` | `10.0` |  |
| `lum_star` | `<class 'numpy.ndarray'>` | `1000000.0` |  |
| `max_desorption_rate_cap` | `<class 'numpy.ndarray'>` | `31600000.0` |  |
| `max_desorption_rate_factor` | `<class 'numpy.ndarray'>` | `10.0` |  |
| `maxgraintemp` | `<class 'numpy.ndarray'>` | `150.0` |  |
| `metallicity` | `<class 'numpy.ndarray'>` | `1.0` |  |
| `min_desorption_rate` | `<class 'numpy.ndarray'>` | `1e-60` |  |
| `min_desorption_rate_cap` | `<class 'numpy.ndarray'>` | `1.0` |  |
| `mxstep` | `<class 'numpy.ndarray'>` | `10000` |  |
| `negative_abundance_tol` | `<class 'numpy.ndarray'>` | `1e-10` |  |
| `omega` | `<class 'numpy.ndarray'>` | `0.5` |  |
| `outputfile` | `<class 'numpy.ndarray'>` | `b'                                                                                                                                                                                                                                                                '` |  |
| `parameterizeh2form` | `<class 'numpy.ndarray'>` | `2` |  |
| `parcelstoppingmode` | `<class 'numpy.ndarray'>` | `0` |  |
| `phi` | `<class 'numpy.ndarray'>` | `100000.0` |  |
| `points` | `<class 'numpy.ndarray'>` | `1` |  |
| `pop_rel_tol` | `<class 'numpy.ndarray'>` | `0.1` |  |
| `radfield` | `<class 'numpy.ndarray'>` | `1.0` |  |
| `rateconstantfile` | `<class 'numpy.ndarray'>` | `b'                                                                                                                                                                                                                                                                '` |  |
| `ratesfile` | `<class 'numpy.ndarray'>` | `b'                                                                                                                                                                                                                                                                '` |  |
| `reltol` | `<class 'numpy.ndarray'>` | `1e-08` |  |
| `reltol_phys` | `<class 'numpy.ndarray'>` | `0.0001` |  |
| `rin` | `<class 'numpy.ndarray'>` | `0.0` |  |
| `rout` | `<class 'numpy.ndarray'>` | `0.05000000074505806` |  |
| `runtime_conservation_tolerance` | `<class 'numpy.ndarray'>` | `0.009999999776482582` |  |
| `separatediffanddesorbprefactor` | `<class 'numpy.ndarray'>` | `1` |  |
| `solvermode` | `<class 'numpy.ndarray'>` | `2` |  |
| `temp_star` | `<class 'numpy.ndarray'>` | `45000.0` |  |
| `thermdesorb` | `<class 'numpy.ndarray'>` | `1` |  |
| `upper_limit_dusttemp` | `<class 'numpy.ndarray'>` | `1000.0` |  |
| `upper_limit_gastemp` | `<class 'numpy.ndarray'>` | `10000.0` |  |
| `usecustomdiffusionbarriers` | `<class 'numpy.ndarray'>` | `1` |  |
| `usecustomprefactors` | `<class 'numpy.ndarray'>` | `0` |  |
| `useminissaleicechemdesefficiency` | `<class 'numpy.ndarray'>` | `0` |  |
| `usetstprefactors` | `<class 'numpy.ndarray'>` | `0` |  |
| `uv_yield` | `<class 'numpy.ndarray'>` | `0.029999999329447746` |  |
| `uvcreff` | `<class 'numpy.ndarray'>` | `0.001` |  |
| `uvdesorb` | `<class 'numpy.ndarray'>` | `1` |  |
| `writestep` | `<class 'numpy.ndarray'>` | `1` |  |
| `writetimestepinfo` | `<class 'numpy.ndarray'>` | `0` |  |
| `zeta` | `<class 'numpy.ndarray'>` | `1.0` |  |

## Runtime Access

Access `defaultparameters` parameters at runtime using `uclchem.advanced.GeneralSettings()`.
See [Accessing Fortran Parameters](index.html#accessing-fortran-parameters-at-runtime) on the main Fortran API page for examples.