This function gives a set of numeric multipliers that can be used as a weight to calculate effective doses and irradiances. The returned values are on quantum based effectiveness relative units.
Value
a numeric array of the same length as w.length
with values for
the BSWF normalized as in the original source (300 nm)
Note
We follow the original defition here for the equation, with no limtation to the wavelength range. However, be aware that in practice it is not used for long wavelengths (different limits between 366 nm and 400 nm have been used by different authors).
See also
Other BSWF functions:
CH4_e_fun()
,
CH4_q_fun()
,
CIE_e_fun()
,
CIE_q_fun()
,
DNA_GM_q_fun()
,
DNA_P_q_fun()
,
FLAV_q_fun()
,
GEN_G_q_fun()
,
GEN_M_q_fun()
,
GEN_T_q_fun()
,
ICNIRP_e_fun()
Examples
PG_q_fun(293:400)
#> [1] 2.24876622 2.07242992 1.89069314 1.70564211 1.51981310 1.33611377
#> [7] 1.15768767 0.98772404 0.82922684 0.68476909 0.55626886 0.44482599
#> [13] 0.35065273 0.27311390 0.21086945 0.16208917 0.12469523 0.09658730
#> [19] 0.07581635 0.06069189 0.04982496 0.04212165 0.03674566 0.03306754
#> [25] 0.03061361 0.02902321 0.02801861 0.02738769 0.02697540 0.02667759
#> [31] 0.02643239 0.02620835 0.02599214 0.02577920 0.02556829 0.02535915
#> [37] 0.02515173 0.02494600 0.02474195 0.02453957 0.02433885 0.02413977
#> [43] 0.02394232 0.02374648 0.02355225 0.02335960 0.02316853 0.02297902
#> [49] 0.02279106 0.02260464 0.02241975 0.02223636 0.02205448 0.02187409
#> [55] 0.02169517 0.02151771 0.02134171 0.02116714 0.02099400 0.02082228
#> [61] 0.02065197 0.02048304 0.02031550 0.02014933 0.01998452 0.01982105
#> [67] 0.01965893 0.01949813 0.01933864 0.01918046 0.01902357 0.01886797
#> [73] 0.01871364 0.01856057 0.01840875 0.01825818 0.01810883 0.01796071
#> [79] 0.01781380 0.01766809 0.01752358 0.01738024 0.01723808 0.01709708
#> [85] 0.01695723 0.01681853 0.01668096 0.01654452 0.01640919 0.01627497
#> [91] 0.01614185 0.01600982 0.01587887 0.01574899 0.01562017 0.01549240
#> [97] 0.01536568 0.01524000 0.01511534 0.01499170 0.01486908 0.01474746
#> [103] 0.01462683 0.01450719 0.01438853 0.01427083 0.01415411 0.01403833