diff --git a/stocproc/helper.py b/stocproc/helper.py
index fbade40..8d0e7d7 100644
--- a/stocproc/helper.py
+++ b/stocproc/helper.py
@@ -1,4 +1,6 @@
-import numpy as np 
+import numpy as np
+from scipy.optimize import brentq
+from . import class_stocproc 
 
 def get_param_single_lorentz(tmax, dw_max, eta, gamma, wc, x=1e-4, verbose=0):
     d = gamma * np.sqrt(1/x - 1)
@@ -33,3 +35,80 @@ def get_param_single_lorentz(tmax, dw_max, eta, gamma, wc, x=1e-4, verbose=0):
             print('-> tmax: {:.3}'.format(tmax_))
         assert tmax_ > tmax, "tmax_={} > tmax={} FAILED".format(tmax_, tmax)
         return N, w_min, tmax
+
+def get_param_ohmic(t_max, spec_dens, x=1e-12, verbose=0):
+    fmin_spec_dens = lambda w: abs(spec_dens(w)) - spec_dens.maximum_val()*x
+    w_pos = spec_dens.maximum_at()
+    w_neg = 2*w_pos
+    while fmin_spec_dens(w_neg) > 0:
+        w_neg *= 2
+
+    omega_max = brentq(fmin_spec_dens, w_pos, w_neg)
+    if verbose > 0:
+        print("omega_max from threshold condition: J(w_max) = x = {:.3g} <-> w_max = {:.3g}".format(x, omega_max))
+
+    dw = np.pi / t_max
+    
+    if verbose > 0:
+        print("dw:{:.3}".format(dw))
+
+    ng_omega = np.ceil(omega_max / dw)  # next larger integer
+    ng_omega = np.ceil(ng_omega / 2) * 2 - 1                   # next lager odd integer
+    ng_t     = (ng_omega + 1) / 2                              # so this becomes an integer
+    delta_t  = 2 * np.pi / (dw * ng_omega)
+    sp_t_max    = ng_t * delta_t
+    if verbose > 0:
+        print("result ng_t: {}".format(ng_t))
+        print("result sp_t_max: {:.3g}".format(sp_t_max))
+    
+    return ng_t, sp_t_max
+
+def show_ohmic_sp(ng_t, sp_t_max, spec_dens, seed, ax, t_max):
+    try:
+        n = len(ng_t)
+    except:
+        n = None
+        
+    try:
+        m = len(sp_t_max)
+    except:
+        m = None
+        
+    if (n is None) and m is not None:
+        ng_t = [ng_t] * m
+    elif (n is not None) and m is None:
+        sp_t_max = [sp_t_max] * n
+    elif (n is not None) and (m is not None):
+        if n != m:
+            raise ValueError("len(ng_t) == len(sp_t_max) FAILED")
+    else:
+        ng_t = [ng_t]
+        sp_t_max = [sp_t_max]
+        
+    
+    for i in range(len(ng_t)):
+        spfft = class_stocproc.StocProc_FFT(spectral_density = spec_dens, 
+                                            t_max            = sp_t_max[i], 
+                                            num_grid_points  = ng_t[i],
+                                            seed             = seed)
+        
+        spfft.new_process()
+    
+        
+    
+        t = np.linspace(0, sp_t_max[i], ng_t[i])
+        t_interp = np.linspace(0, sp_t_max[i], 10*ng_t[i])
+        
+        t = t[np.where(t < t_max)]
+        t_interp = t_interp[np.where(t_interp < t_max)]
+        
+        eta = spfft(t)
+        eta_interp = spfft(t_interp)
+        
+        p, = ax.plot(t_interp, np.real(eta_interp))
+        ax.plot(t_interp, np.imag(eta_interp), color=p.get_color(), ls='--')
+        ax.plot(t, np.real(eta), color=p.get_color(), ls='', marker = '.')
+        ax.plot(t, np.imag(eta), color=p.get_color(), ls='', marker = '.')
+    
+    
+    
\ No newline at end of file