diff --git a/DAS/node.py b/DAS/node.py
index 6bd5bfd..a66636a 100644
--- a/DAS/node.py
+++ b/DAS/node.py
@@ -36,9 +36,9 @@ class Validator:
         self.rowIDs = rowIDs
         self.columnIDs = columnIDs
 
-def initValidator(blockSizeC, chiR, blockSizeR, chiC):
-        rowIDs = set(random.sample(range(blockSizeC), chiR))
-        columnIDs = set(random.sample(range(blockSizeR), chiC))
+def initValidator(blockSizeC, custodyRows, blockSizeR, custodyCols):
+        rowIDs = set(random.sample(range(blockSizeC), custodyRows))
+        columnIDs = set(random.sample(range(blockSizeR), custodyCols))
         return Validator(rowIDs, columnIDs)
 
 class Node:
@@ -53,7 +53,7 @@ class Node:
         """It initializes the node, and eventual validators, following the simulation configuration in shape and config.
 
             If rows/columns are specified these are observed, otherwise (default)
-            chiR rows and chiC columns are selected randomly.
+            custodyRows rows and custodyCols columns are selected randomly.
         """
 
         self.shape = shape
@@ -93,7 +93,7 @@ class Node:
         self.statsRxDupInSlot = 0
         self.statsRxDupPerSlot = []
 
-        # Set uplink bandwidth. 
+        # Set uplink bandwidth.
         # Assuming segments of ~560 bytes and timesteps of 50ms, we get
         # 1 Mbps ~= 1e6 mbps * 0.050 s / (560*8) bits ~= 11 segments/timestep
         if self.amIproposer:
diff --git a/smallConf.py b/smallConf.py
index b1434af..8ab5a32 100644
--- a/smallConf.py
+++ b/smallConf.py
@@ -63,7 +63,7 @@ blockSizes = range(64, 113, 128)
 netDegrees = range(8, 9, 2)
 
 # number of rows and columns a validator is interested in
-chis = range(2, 3, 2)
+custody = range(2, 3, 2)
 
 # ratio of class1 nodes (see below for parameters per class)
 class1ratios = [0.8]
@@ -102,12 +102,12 @@ diagnostics = False
 saveGit = False
 
 def nextShape():
-    for run, fm, fr, class1ratio, chi, vpn1, vpn2, blockSize, nn, netDegree, bwUplinkProd, bwUplink1, bwUplink2 in itertools.product(
-        runs, failureModels, failureRates, class1ratios, chis, validatorsPerNode1, validatorsPerNode2, blockSizes, numberNodes, netDegrees, bwUplinksProd, bwUplinks1, bwUplinks2):
+    for run, fm, fr, class1ratio, cust, vpn1, vpn2, blockSize, nn, netDegree, bwUplinkProd, bwUplink1, bwUplink2 in itertools.product(
+        runs, failureModels, failureRates, class1ratios, custody, validatorsPerNode1, validatorsPerNode2, blockSizes, numberNodes, netDegrees, bwUplinksProd, bwUplinks1, bwUplinks2):
         # Network Degree has to be an even number
         if netDegree % 2 == 0:
             blockSizeR = blockSizeC = blockSize
             blockSizeRK = blockSizeCK = blockSize // 2
-            chiR = chiC = chi
-            shape = Shape(blockSizeR, blockSizeRK, blockSizeC, blockSizeCK, nn, fm, fr, class1ratio, chiR, chiC, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run)
+            custodyRows = custodyCols = cust
+            shape = Shape(blockSizeR, blockSizeRK, blockSizeC, blockSizeCK, nn, fm, fr, class1ratio, custodyRows, custodyCols, vpn1, vpn2, netDegree, bwUplinkProd, bwUplink1, bwUplink2, run)
             yield shape