diff --git a/pyext/ctools/obsutils.py b/pyext/ctools/obsutils.py
index a15f01d..96be22d 100755
--- a/pyext/ctools/obsutils.py
+++ b/pyext/ctools/obsutils.py
@@ -516,97 +516,3 @@ def set_obs_patterns(pattern, ra=83.6331, dec=22.0145, offset=1.5):
     
     # Return observation definition list
     return obsdeflist
-
-
-# ================================================= #
-# Make spectrum for one Source in a CTA Observation #
-# ================================================= #
-def getlogbins(nbins=12,emin=0.1,emax=100):
-    """
-    Returns list with logarithmiscenergy bins in
-    format [[emin1,emax1],[emin2,emax2],..]
-    
-    Parameters:
-       nbins   Number of bins
-       emin    Minimum energy
-       emax    Maximum energy
-    """
-    lgemin=numpy.log10(emin)
-    lgemax=numpy.log10(emax)
-    lgbins=[]
-    lgedges=numpy.arange(lgemin,lgemax,(lgemax-lgemin)/nbins)
-    lgedges=numpy.append(lgedges,[lgemax])
-    for ii in range(len(lgedges)-1):
-        lgbins.append([lgedges[ii],lgedges[ii+1]])
-    ebins=numpy.power(10,lgbins)
-    return ebins
-
-#Please note that specpoints can make spectra for any given
-#spectral model, as long as it has a "Prefactor" parameter 
-#which scales the funtion
-def specpoints(obs,source,ebins):
-    """
-    Returns spectral points in the given binning for
-    the passed observations and source.
-    
-    Parameters:
-     obs    - Pointing direction
-     source - Source name for which spectrum should be done
-     ebins  - Binning passed as a list in units of TeV as
-              [[emin1,emax1],[emin2,emax2],..]
-    Keywords:
-    """
-    #Fix all parameters except prefactor
-    for model in obs.models():
-        for par in range(model.size()):
-            model[par].fix()
-    
-    opt_spectral = obs.models()[source].spectral()
-    opt_spectral["Prefactor"].free()
-    
-    #Define spectrum dictionary, units are in format readable by astropy
-    pars = {"value":[],"eu_value":[],"ed_value":[],"unit":[]}
-    spec = {"energy":pars.copy(),"flux":pars.copy(),"TS":[]}
-    
-    #Loop over energy bins, fit and write result to spectrum
-    for ebin in ebins:
-        #Get logarithmic bin center and flux value of all energy fit 
-        ecenter = numpy.power(10,(numpy.log10(ebin[1])+numpy.log10(ebin[0]))/2.)
-        allflux = opt_spectral.eval(gammalib.GEnergy(ecenter,"TeV"),gammalib.GTime(0))
-
-        #Clone observations and reset energy thresholds
-        select = ctools.ctselect(obs)
-        select["ra"].real(-1.0)
-        select["dec"].real(-1.0)
-        select["rad"].real(-1.0)
-        select["tmin"].real(0)
-        select["tmax"].real(0)
-        select["emin"].real(ebin[0])
-        select["emax"].real(ebin[1])
-        select.run()
-        obsclone = select.obs()
-        
-        #Refit and write out to spectrum
-        binlike=fit(obsclone,log=False, debug=False, edisp=False)
-        binopt_spectral = binlike.obs().models()[source].spectral()
-        binflux=binopt_spectral.eval(gammalib.GEnergy(ecenter,"TeV"),gammalib.GTime(0))
-        if binopt_spectral["Prefactor"].value()>0:
-            relerr=binopt_spectral["Prefactor"].error()/binopt_spectral["Prefactor"].value()
-        else:
-            relerr=0
-
-        #Store and convert to TeV from MeV
-        spec["energy"]["value"].append(ecenter)
-        spec["energy"]["ed_value"].append(ecenter-ebin[0])
-        spec["energy"]["eu_value"].append(ebin[1]-ecenter)
-        spec["energy"]["unit"].append("1e12 eV")
-        
-        spec["flux"]["value"].append(binflux*1e6)
-        spec["flux"]["ed_value"].append(relerr*binflux*1e6)
-        spec["flux"]["eu_value"].append(relerr*binflux*1e6)
-        spec["flux"]["unit"].append("cm-2 1e-12 eV-1")
-        
-        spec["TS"].append(binlike.obs().models()[source].ts())
-    
-    #Return spectrum
-    return spec