From: devicerandom Date: Thu, 19 Feb 2009 13:49:41 +0000 (+0000) Subject: (pcluster.py) now accepts fixed persistent length X-Git-Tag: 0.9.0~55 X-Git-Url: http://git.tremily.us/?a=commitdiff_plain;h=9812ea2cdc41e53d6ab809cbd2729554e39fbebd;p=hooke.git (pcluster.py) now accepts fixed persistent length --- diff --git a/fit.py b/fit.py index b843419..096f923 100755 --- a/fit.py +++ b/fit.py @@ -141,7 +141,6 @@ class fitCommands: pii=1/pl_value Kb=(1.38065e-23) #boltzmann constant - #T=293 #temperature FIXME:should be user-modifiable! therm=Kb*T #so we have thermal energy return ( (therm*pii/4.0) * (((1-(x*lambd))**-2.0) - 1 + (4.0*x*lambd)) ) diff --git a/pcluster.py b/pcluster.py index 08222c6..011c973 100644 --- a/pcluster.py +++ b/pcluster.py @@ -17,14 +17,27 @@ warnings.simplefilter('ignore',np.RankWarning) class pclusterCommands: def do_pcluster(self,args): + ''' pCLUSTER (pcluster.py) + + Automatically measures peaks for further clustering + + (c)Paolo Pancaldi, Massimo Sandal 2009 ''' - + #--Custom persistent length + for arg in args.split(): + #look for a persistent length argument. + if 'pl=' in arg: + pl_expression=arg.split('=') + pl_value=float(pl_expression[1]) #actual value + else: + pl_value=None + #configuration variables - min_npks = 5 - min_deviation = 5 + min_npks = self.convfilt_config['minpeaks'] + min_deviation = self.convfilt_config['mindeviation'] # ------ FUNCTION ------ def fit_interval_nm(start_index,plot,nm,backwards): @@ -63,7 +76,7 @@ class pclusterCommands: fit_errors [6.5817195369767644e-010, 2.4415923138871498e-011] ''' fit_points=int(self.config['auto_fit_points']) # number of points to fit before the peak maximum <50> - pl_value=None # persistent length + T=self.config['temperature'] #temperature of the system in kelvins. By default it is 293 K. <301.0> cindex=self.find_contact_point() #Automatically find contact point <158, libhooke.ClickedPoint> contact_point=self._clickize(itplot[0].vectors[1][0], itplot[0].vectors[1][1], cindex) @@ -167,15 +180,6 @@ class pclusterCommands: for var, vector in zip([c_leng, p_leng, sigma_c_leng, sigma_p_leng, force, slope],[c_lengths, p_lengths, sigma_c_lengths, sigma_p_lengths, forces, slopes]): if var is not None: vector.append(var) - - ''' - c_lengths.append(c_leng) - p_lengths.append(p_leng) - sigma_c_lengths.append(sigma_c_leng) - sigma_p_lengths.append(sigma_p_leng) - forces.append(force) - slopes.append(slope) - ''' print 'Measurements for all peaks detected:' print 'contour (nm)', c_lengths