Index: /issm/trunk-jpl/src/m/materials/paterson.py
===================================================================
--- /issm/trunk-jpl/src/m/materials/paterson.py	(revision 17546)
+++ /issm/trunk-jpl/src/m/materials/paterson.py	(revision 17547)
@@ -14,6 +14,9 @@
 	if numpy.any(temperature<0.):
 		raise RuntimeError("input temperature should be in Kelvin (positive)")
-	
-	T = temperature.reshape(-1,)-273.15
+
+	if numpy.ndim(temperature)==2:
+		T = temperature.reshape(-1,)-273.15
+	else:
+		T = numpy.array([temperature])-273.15
 
 	#The routine below is equivalent to:
@@ -31,30 +34,42 @@
 
 	rigidity=numpy.zeros_like(T)
-	pos1=numpy.nonzero(T<=-45)
-	rigidity[pos1]=10**8*(-0.000292866376675*(T[pos1]+50)**3+ 0.011672640664130*(T[pos1]+50)**2  -0.325004442485481*(T[pos1]+50)+  6.524779401948101)
-	pos2=numpy.nonzero(numpy.logical_and(-45<=T,T<-40))
-	rigidity[pos2]=10**8*(-0.000292866376675*(T[pos2]+45)**3+ 0.007279645014004*(T[pos2]+45)**2  -0.230243014094813*(T[pos2]+45)+  5.154964909039554)
-	pos3=numpy.nonzero(numpy.logical_and(-40<=T,T<-35))
-	rigidity[pos3]=10**8*(0.000072737147457*(T[pos3]+40)**3+  0.002886649363879*(T[pos3]+40)**2  -0.179411542205399*(T[pos3]+40)+  4.149132666831214)
-	pos4=numpy.nonzero(numpy.logical_and(-35<=T,T<-30))
-	rigidity[pos4]=10**8*(-0.000086144770023*(T[pos4]+35)**3+ 0.003977706575736*(T[pos4]+35)**2  -0.145089762507325*(T[pos4]+35)+  3.333333333333331)
-	pos5=numpy.nonzero(numpy.logical_and(-30<=T,T<-25))
-	rigidity[pos5]=10**8*(-0.000043984685769*(T[pos5]+30)**3+ 0.002685535025386*(T[pos5]+30)**2  -0.111773554501713*(T[pos5]+30)+  2.696559088937191)
-	pos6=numpy.nonzero(numpy.logical_and(-25<=T,T<-20))
-	rigidity[pos6]=10**8*(-0.000029799523463*(T[pos6]+25)**3+ 0.002025764738854*(T[pos6]+25)**2  -0.088217055680511*(T[pos6]+25)+  2.199331606342181)
-	pos7=numpy.nonzero(numpy.logical_and(-20<=T,T<-15))
-	rigidity[pos7]=10**8*(0.000136920904777*(T[pos7]+20)**3+  0.001578771886910*(T[pos7]+20)**2  -0.070194372551690*(T[pos7]+20)+  1.805165505978111)
-	pos8=numpy.nonzero(numpy.logical_and(-15<=T,T<-10))
-	rigidity[pos8]=10**8*(-0.000899763781026*(T[pos8]+15)**3+ 0.003632585458564*(T[pos8]+15)**2  -0.044137585824322*(T[pos8]+15)+  1.510778053489523)
-	pos9=numpy.nonzero(numpy.logical_and(-10<=T,T<-5))
-	rigidity[pos9]=10**8*(0.001676964325070*(T[pos9]+10)**3-  0.009863871256831*(T[pos9]+10)**2  -0.075294014815659*(T[pos9]+10)+  1.268434288203714)
-	pos10=numpy.nonzero(numpy.logical_and(-5<=T,T<-2))
-	rigidity[pos10]=10**8*(-0.003748937622487*(T[pos10]+5)**3+0.015290593619213*(T[pos10]+5)**2  -0.048160403003748*(T[pos10]+5)+  0.854987973338348)
-	pos11=numpy.nonzero(-2<=T)
-	rigidity[pos11]=10**8*(-0.003748937622488*(T[pos11]+2)**3-0.018449844983174*(T[pos11]+2)**2  -0.057638157095631*(T[pos11]+2)+  0.746900791092860)
+	pos1=numpy.nonzero(T<=-45)[0]
+	if len(pos1):
+		rigidity[pos1]=10**8*(-0.000292866376675*(T[pos1]+50)**3+ 0.011672640664130*(T[pos1]+50)**2  -0.325004442485481*(T[pos1]+50)+  6.524779401948101)
+	pos2=numpy.nonzero(numpy.logical_and(-45<=T,T<-40))[0]
+	if len(pos2):
+		rigidity[pos2]=10**8*(-0.000292866376675*(T[pos2]+45)**3+ 0.007279645014004*(T[pos2]+45)**2  -0.230243014094813*(T[pos2]+45)+  5.154964909039554)
+	pos3=numpy.nonzero(numpy.logical_and(-40<=T,T<-35))[0]
+	if len(pos3):
+		rigidity[pos3]=10**8*(0.000072737147457*(T[pos3]+40)**3+  0.002886649363879*(T[pos3]+40)**2  -0.179411542205399*(T[pos3]+40)+  4.149132666831214)
+	pos4=numpy.nonzero(numpy.logical_and(-35<=T,T<-30))[0]
+	if len(pos4):
+		rigidity[pos4]=10**8*(-0.000086144770023*(T[pos4]+35)**3+ 0.003977706575736*(T[pos4]+35)**2  -0.145089762507325*(T[pos4]+35)+  3.333333333333331)
+	pos5=numpy.nonzero(numpy.logical_and(-30<=T,T<-25))[0]
+	if len(pos5):
+		rigidity[pos5]=10**8*(-0.000043984685769*(T[pos5]+30)**3+ 0.002685535025386*(T[pos5]+30)**2  -0.111773554501713*(T[pos5]+30)+  2.696559088937191)
+	pos6=numpy.nonzero(numpy.logical_and(-25<=T,T<-20))[0]
+	if len(pos6):
+		rigidity[pos6]=10**8*(-0.000029799523463*(T[pos6]+25)**3+ 0.002025764738854*(T[pos6]+25)**2  -0.088217055680511*(T[pos6]+25)+  2.199331606342181)
+	pos7=numpy.nonzero(numpy.logical_and(-20<=T,T<-15))[0]
+	if len(pos7):
+		rigidity[pos7]=10**8*(0.000136920904777*(T[pos7]+20)**3+  0.001578771886910*(T[pos7]+20)**2  -0.070194372551690*(T[pos7]+20)+  1.805165505978111)
+	pos8=numpy.nonzero(numpy.logical_and(-15<=T,T<-10))[0]
+	if len(pos8):
+		rigidity[pos8]=10**8*(-0.000899763781026*(T[pos8]+15)**3+ 0.003632585458564*(T[pos8]+15)**2  -0.044137585824322*(T[pos8]+15)+  1.510778053489523)
+	pos9=numpy.nonzero(numpy.logical_and(-10<=T,T<-5))[0]
+	if len(pos9):
+		rigidity[pos9]=10**8*(0.001676964325070*(T[pos9]+10)**3-  0.009863871256831*(T[pos9]+10)**2  -0.075294014815659*(T[pos9]+10)+  1.268434288203714)
+	pos10=numpy.nonzero(numpy.logical_and(-5<=T,T<-2))[0]
+	if len(pos10):
+		rigidity[pos10]=10**8*(-0.003748937622487*(T[pos10]+5)**3+0.015290593619213*(T[pos10]+5)**2  -0.048160403003748*(T[pos10]+5)+  0.854987973338348)
+	pos11=numpy.nonzero(-2<=T)[0]
+	if len(pos11):
+		rigidity[pos11]=10**8*(-0.003748937622488*(T[pos11]+2)**3-0.018449844983174*(T[pos11]+2)**2  -0.057638157095631*(T[pos11]+2)+  0.746900791092860)
 
 	#Now make sure that rigidity is positive
-	pos=numpy.nonzero(rigidity<0)
-	rigidity[pos]=1**6 
+	pos=numpy.nonzero(rigidity<0)[0]
+	if len(pos):
+		rigidity[pos]=1**6 
 
 	return rigidity