diff --git a/code/RDGW150914_ptemcee1.py b/code/RDGW150914_ptemcee1.py
index bcbc76de69f856f2b4dfe4973d0b739ca5f891ce..cbd336f6a966396bff3ebe5ef91f10ac8fce9f77 100755
--- a/code/RDGW150914_ptemcee1.py
+++ b/code/RDGW150914_ptemcee1.py
@@ -41,11 +41,11 @@ tshift=3.6
 vary_fund = True
 
 #sampler parameters
-npoints=1002 
+npoints=13700 
 nwalkers = 840
 ntemps=12
 ndim = int(4*(nmax+1))
-burnin = 500  #How many points do you burn before doing the corner plot. You need to watch the convergence of the chain plot a bit.
+burnin = 4200  #How many points do you burn before doing the corner plot. You need to watch the convergence of the chain plot a bit.
             #This is trivial but often forgotten: this cannot be more than npoints! Usually 1/5~1/4 npoints is what I observe.
 numbins = 42 #corner plot parameter - how many bins you want
 datacolor = '#105670' #'#4fa3a7'
@@ -176,8 +176,8 @@ def log_probability(theta):
 
 #Fit with ptemcee
 #Set the number of cores of your processors
-pool = choose_pool(64)
-pool.size = 64
+pool = choose_pool(16)
+pool.size = 16
 vary_param = float(vary_fund)
 np.random.seed(42)
 pos = np.array([[random.uniform(-0.1,0.1), random.uniform(-0.1,0.1), 4.28313743e-01, random.uniform(2.5, 2.6) + (1-vary_param) * np.pi]])
diff --git a/code/RDGW150914_ptemcee2.py b/code/RDGW150914_ptemcee2.py
index e008c8eb6ae23e6094d085a1d718538dbd0ca57d..5b55fe78ae0157b804f7c61112df3a0d6f59c9fc 100755
--- a/code/RDGW150914_ptemcee2.py
+++ b/code/RDGW150914_ptemcee2.py
@@ -35,17 +35,17 @@ from scipy.optimize import minimize
 #tshift: time shift after the strain peak
 #vary_fund: whether you vary the fundamental frequency. Works in the model_dv function.
 
-rootpath="/Users/RayneLiu"#"/work/rayne.liu" 
+rootpath="/work/rayne.liu"#"/Users/RayneLiu"
 nmax=1
 tshift=19
 vary_fund = True
 
 #sampler parameters
-npoints=102 
-nwalkers = 42
+npoints=13700 
+nwalkers = 840
 ntemps=12
 ndim = int(4*(nmax+1))
-burnin = 20 #How many points do you burn before doing the corner plot. You need to watch the convergence of the chain plot a bit.
+burnin = 4200 #How many points do you burn before doing the corner plot. You need to watch the convergence of the chain plot a bit.
             #This is trivial but often forgotten: this cannot be more than npoints! Usually 1/5~1/4 npoints is what I observe.
 numbins = 42 #corner plot parameter - how many bins you want
 datacolor = '#105670' #'#4fa3a7'
@@ -177,8 +177,8 @@ def log_probability(theta):
 
 #Fit with ptemcee
 #Set the number of cores of your processors
-pool = choose_pool(64)
-pool.size = 64
+pool = choose_pool(16)
+pool.size = 16
 vary_param = float(vary_fund)
 np.random.seed(42)
 pos = np.array([[random.uniform(-0.1,0.1), random.uniform(-0.1,0.1), 4.28313743e-01, random.uniform(2.5, 2.6) + (1-vary_param) * np.pi]])
diff --git a/code/RDGW150914_ptemcee3.py b/code/RDGW150914_ptemcee3.py
index b58a861a4be1724ecbf1f8740edfe2ff69be29ae..82c627371139bf3d073fe72d2daa8db314810f70 100755
--- a/code/RDGW150914_ptemcee3.py
+++ b/code/RDGW150914_ptemcee3.py
@@ -42,11 +42,11 @@ tshift=0
 vary_fund = False
 
 #sampler parameters
-npoints=100 
-nwalkers = 42
+npoints=13700 
+nwalkers = 840
 ntemps=12
 ndim = int(4*(nmax+1))
-burnin = 20 #How many points do you burn before doing the corner plot. You need to watch the convergence of the chain plot a bit.
+burnin = 4200 #How many points do you burn before doing the corner plot. You need to watch the convergence of the chain plot a bit.
             #This is trivial but often forgotten: this cannot be more than npoints! Usually 1/5~1/4 npoints is what I observe.
 numbins = 42 #corner plot parameter - how many bins you want
 datacolor = '#105670' #'#4fa3a7'
@@ -178,8 +178,8 @@ def log_probability(theta):
 
 #Fit with ptemcee
 #Set the number of cores of your processors
-pool = choose_pool(64)
-pool.size = 64
+pool = choose_pool(16)
+pool.size = 16
 vary_param = float(vary_fund)
 np.random.seed(42)
 pos = np.array([[random.uniform(-0.1,0.1), random.uniform(-0.1,0.1), 4.28313743e-01, random.uniform(2.5, 2.6) + (1-vary_param) * np.pi]])
diff --git a/code/RDGW150914_ptemcee4.py b/code/RDGW150914_ptemcee4.py
index 8844a17e79bb0bab57b21f03752419ecd4bd9aba..3a5fa10178b322fb4343a8f7e2de1a8c870ed61a 100755
--- a/code/RDGW150914_ptemcee4.py
+++ b/code/RDGW150914_ptemcee4.py
@@ -42,11 +42,11 @@ tshift=19
 vary_fund = False
 
 #sampler parameters
-npoints=102 
-nwalkers = 42
+npoints=13700 
+nwalkers = 840
 ntemps=12
 ndim = int(4*(nmax+1))
-burnin = 20 #How many points do you burn before doing the corner plot. You need to watch the convergence of the chain plot a bit.
+burnin = 4200 #How many points do you burn before doing the corner plot. You need to watch the convergence of the chain plot a bit.
             #This is trivial but often forgotten: this cannot be more than npoints! Usually 1/5~1/4 npoints is what I observe.
 numbins = 42 #corner plot parameter - how many bins you want
 datacolor = '#105670' #'#4fa3a7'
@@ -178,8 +178,8 @@ def log_probability(theta):
 
 #Fit with ptemcee
 #Set the number of cores of your processors
-pool = choose_pool(64)
-pool.size = 64
+pool = choose_pool(16)
+pool.size = 16
 vary_param = float(vary_fund)
 np.random.seed(42)
 pos = np.array([[random.uniform(-0.1,0.1), random.uniform(-0.1,0.1), 4.28313743e-01, random.uniform(2.5, 2.6) + (1-vary_param) * np.pi]])
diff --git a/code/condor_submit_RdownPtemcee1.sub b/code/condor_submit_RdownPtemcee1.sub
index 68c9559088f0eadb957cda450156e8a1518c0513..75b33f1edfb4b8667dc360e1d9841dc3ab4043bd 100755
--- a/code/condor_submit_RdownPtemcee1.sub
+++ b/code/condor_submit_RdownPtemcee1.sub
@@ -12,8 +12,8 @@ initialdir = .
 notify_user = rl746@cornell.edu
 notification = Complete
 arguments  = "-processid $(Process)" 
-request_memory = 512GB
-request_cpus = 64
+request_memory = 232GB
+request_cpus = 16
 on_exit_remove = (ExitBySignal == False) || ((ExitBySignal == True) && (ExitSignal != 11))
 accounting_group = aei.dev.test_dynesty
 queue 1
diff --git a/code/condor_submit_RdownPtemcee2.sub b/code/condor_submit_RdownPtemcee2.sub
index 0194194f4a56fecb6a29af88e5f2a0d6f385cf9e..65bde85cd7b5ce4488a19453b1599989ae1ada60 100755
--- a/code/condor_submit_RdownPtemcee2.sub
+++ b/code/condor_submit_RdownPtemcee2.sub
@@ -12,8 +12,8 @@ initialdir = .
 notify_user = rl746@cornell.edu
 notification = Complete
 arguments  = "-processid $(Process)" 
-request_memory = 512GB
-request_cpus = 64
+request_memory = 232GB
+request_cpus = 16
 on_exit_remove = (ExitBySignal == False) || ((ExitBySignal == True) && (ExitSignal != 11))
 accounting_group = aei.dev.test_dynesty
 queue 1
diff --git a/code/condor_submit_RdownPtemcee3.sub b/code/condor_submit_RdownPtemcee3.sub
index dba2384e35433b48c0627e096bfdd3a1c5963d5a..7c090ebd27af99732771ead1a65ac1209f2d92f2 100755
--- a/code/condor_submit_RdownPtemcee3.sub
+++ b/code/condor_submit_RdownPtemcee3.sub
@@ -12,8 +12,8 @@ initialdir = .
 notify_user = rl746@cornell.edu
 notification = Complete
 arguments  = "-processid $(Process)" 
-request_memory = 512GB
-request_cpus = 64
+request_memory = 232GB
+request_cpus = 16
 on_exit_remove = (ExitBySignal == False) || ((ExitBySignal == True) && (ExitSignal != 11))
 accounting_group = aei.dev.test_dynesty
 queue 1
diff --git a/code/condor_submit_RdownPtemcee4.sub b/code/condor_submit_RdownPtemcee4.sub
index b3a555b44c2cc2c20ee95f6bfa43699bcb380452..f3567a9a67cc3faf03164b7181b4308f6ab51829 100755
--- a/code/condor_submit_RdownPtemcee4.sub
+++ b/code/condor_submit_RdownPtemcee4.sub
@@ -12,8 +12,8 @@ initialdir = .
 notify_user = rl746@cornell.edu
 notification = Complete
 arguments  = "-processid $(Process)" 
-request_memory = 512GB
-request_cpus = 64
+request_memory = 232GB
+request_cpus = 16
 on_exit_remove = (ExitBySignal == False) || ((ExitBySignal == True) && (ExitSignal != 11))
 accounting_group = aei.dev.test_dynesty
 queue 1