ARe you sure about this line:
'LATTICE' : chain lattice 16',
there is an opening quote (') missing - is that the crash that you observe?
On Mar 4, 2013, at 10:00 PM, Bertaina Sylvain sylvain.bertaina@im2np.fr wrote:
Hi all,
It try to use customs lattices with looper but it seems to crash. I use an easy one to start , a simple closed chain with 16 spins. The calculation work with dirlooper_sse (but take a long time and have very few options) but using "loop" algorithm it crash immediately
here is the lattice :
<LATTICES> <GRAPH name = "chain lattice 16" dimension="1" vertices="16" edges="16"> <EDGE source="1" target="2" id="1" type="0" /> <EDGE source="2" target="3" id="2" type="0" /> <EDGE source="3" target="4" id="3" type="0" /> <EDGE source="4" target="5" id="4" type="0" /> <EDGE source="5" target="6" id="5" type="0" /> <EDGE source="6" target="7" id="6" type="0" /> <EDGE source="7" target="8" id="7" type="0" /> <EDGE source="8" target="9" id="8" type="0" /> <EDGE source="9" target="10" id="9" type="0" /> <EDGE source="10" target="11" id="10" type="0" /> <EDGE source="11" target="12" id="11" type="0" /> <EDGE source="12" target="13" id="12" type="0" /> <EDGE source="13" target="14" id="13" type="0" /> <EDGE source="14" target="15" id="14" type="0" /> <EDGE source="15" target="16" id="15" type="0" /> <EDGE source="16" target="1" id="16" type="0" /> </GRAPH> </LATTICES>
here is the python script :
#! /usr/bin/python import pyalps import matplotlib.pyplot as plt import pyalps.plot
#prepare the input parameters parms = [] for t in [0.05, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.25, 1.5, 1.75, 2.0]: parms.append( {'LATTICE_LIBRARY' : 'my_lattice.xml', 'LATTICE' : chain lattice 16', 'MODEL' : 'spin', 'local_S0' : '.5', 'T' : t, 'J0' : 1 , 'THERMALIZATION' : 5000, 'SWEEPS' : 50000, 'ALGORITHM' : "loop" } )
#write the input file and run the simulation input_file = pyalps.writeInputFiles('parmcustom',parms) pyalps.runApplication('loop',input_file)
#load the susceptibility and collect it as function of temperature T data = pyalps.loadMeasurements(pyalps.getResultFiles(prefix='parmcustom'),'Susceptibility') susceptibility = pyalps.collectXY(data,x='T',y='Susceptibility')
#make plot plt.figure() pyalps.plot.plot(susceptibility) plt.xlabel('Temperature $T/J$') plt.ylabel('Susceptibility $\chi J$') plt.ylim(0,0.22) plt.title('Quantum Heisenberg chain') plt.show()
I hope someone can help me
with regards
-- Sylvain Bertaina Chargé de recherche IM2NP - UMR 7334 CNRS Faculté des Sciences et Techniques Avenue Escadrille Normandie Niemen - Case 162 - 13397 Marseille Cedex 20 (France) Tel: +33 (0) 4 91 28 27 66 Fax: +33 (0) 4 91 28 87 75
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