;+ ; :Description: ; Constant normalization factor for the BPL model estimated with ; the maximum likelihood theoretical solution. ; ; :Params: ; INPUTS: ; ff - Fourier frequencies vector ; bpl_par - bending power law parameters: ; bpl_par[0] --> beta, spectral index ; bpl_par[1] --> gamma, spectral index ; bpl_par[2] --> fb, frequency break ; ; bet - spectral index ; ff - Fourier frequencies vector ; psd - power spectral density ; alpha - half degree of freedom of Smtm for each frequency ; ; OUTPUTS: ; c - constant factor ; ; :Author: ; Simone Di Matteo, Ph.D. ; 8800 Greenbelt Rd ; Greenbelt, MD 20771 USA ; E-mail: simone.dimatteo@nasa.gov ;- ;*****************************************************************************; ; ; ; Copyright (c) 2020, by Simone Di Matteo ; ; ; ; Licensed under the Apache License, Version 2.0 (the "License"); ; ; you may not use this file except in compliance with the License. ; ; See the NOTICE file distributed with this work for additional ; ; information regarding copyright ownership. ; ; You may obtain a copy of the License at ; ; ; ; http://www.apache.org/licenses/LICENSE-2.0 ; ; ; ; Unless required by applicable law or agreed to in writing, software ; ; distributed under the License is distributed on an "AS IS" BASIS, ; ; WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. ; ; See the License for the specific language governing permissions and ; ; limitations under the License. ; ; ; ;*****************************************************************************; ; function spd_mtm_bpl_norm, bpl_par, ff, psd, alpha ; bet = bpl_par[0] gam = bpl_par[1] fb = bpl_par[2] fjfb = (gam - bet) * (alog10(ff) - alog10(fb)) logq = alog10(1.0d + 10.0d^fjfb) logfun = - bet*alog10(ff) - logq ind_ovrflw = where(logfun gt 30, n_ovrflw) ind_undflw = where(logfun lt -30, n_undflw) if n_ovrflw gt 0 then logfun[ind_ovrflw] = 30.0 if n_undflw gt 0 then logfun[ind_undflw] = -30.0 res = 10.0d^logfun c = total(alpha*psd/res)/total(alpha) ; return, c ; end