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Commit c7093866 authored by Rayne Liu's avatar Rayne Liu
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Adjusted ranges, changed number of cpus requested

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code/RDGW150914_ptemcee1.py
+ 9
− 9
View file @ c7093866
...@@ -41,9 +41,9 @@ tshift=3.6 ...@@ -41,9 +41,9 @@ tshift=3.6
vary_fund = True vary_fund = True
#sampler parameters #sampler parameters
npoints=13700 npoints=20000
nwalkers = 840 nwalkers = 1000
ntemps=12 ntemps=16
ndim = int(4*(nmax+1)) ndim = int(4*(nmax+1))
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. 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. #This is trivial but often forgotten: this cannot be more than npoints! Usually 1/5~1/4 npoints is what I observe.
...@@ -139,15 +139,15 @@ def log_prior(theta): ...@@ -139,15 +139,15 @@ def log_prior(theta):
y_0 = theta[6] y_0 = theta[6]
y_1 = theta[7] y_1 = theta[7]
if all([nmax == 1, 0 <= tshift <= 5, vary_fund == True, -0.8 <= a_0 <= 0.8, -1.0 <= a_1 <= 1.0, -2.0 <= b_0 <= 9.0, -2.0 <= b_1 <= 21.0, 0 <= x_0 <= 1.6, 0 <= x_1 <= 1.6, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]): if all([nmax == 1, 0 <= tshift <= 5, vary_fund == True, -1.2 <= a_0 <= 1.2, -1.5 <= a_1 <= 1.5, -9.0 <= b_0 <= 9.0, -10.0 <= b_1 <= 21.0, 0 <= x_0 <= 1.6, 0 <= x_1 <= 1.4, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]):
return 0.0 return 0.0
elif all([nmax == 1, tshift == 19, vary_fund == True, -10.0 <= a_0 <= 10.0, -10.0 <= a_1 <= 10.0, -2.0 <= b_0 <= 10.0, -2.0 <= b_1 <= 10.0, 0 <= x_0 <= 1.0, 0 <= x_1 <= 1.2, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]): elif all([nmax == 1, tshift == 19, vary_fund == True, -10.0 <= a_0 <= 10.0, -10.0 <= a_1 <= 10.0, -9.0 <= b_0 <= 20.0, -9.0 <= b_1 <= 25.0, 0 <= x_0 <= 0.8, 0 <= x_1 <= 0.9, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]):
return 0.0 return 0.0
#PAY EXTRA ATTENTION TO THESE TWO CASES, SINCE WE SHIFTED y_0. THE CORNER PLOTS LABELS NEED TO BE TREATED WITH CARE. #PAY EXTRA ATTENTION TO THESE TWO CASES, SINCE WE SHIFTED y_0. THE CORNER PLOTS LABELS NEED TO BE TREATED WITH CARE.
elif all([nmax == 1, 0 <= tshift <= 5, vary_fund == False, -1.0 <= a_0 <= 1.0, -1.5 <= a_1 <= 1.5, -1.0 <= b_0 <= 1.0, -3.0 <= b_1 <= 12.0, 0 <= x_0 <= 2.0, 0 <= x_1 <= 2.4, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi,]): elif all([nmax == 1, 0 <= tshift <= 5, vary_fund == False, -10.0 <= a_0 <= 10.0, -1.5 <= a_1 <= 1.5, -9.0 <= b_0 <= 9.0, -10.0 <= b_1 <= 16.0, 0 <= x_0 <= 2.2, 0 <= x_1 <= 2.5, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi,]):
return 0.0 return 0.0
elif all([nmax == 1, tshift == 19, vary_fund == False, -1.0 <= a_0 <= 1.0, -10.0 <= a_1 <= 10.0, -1.0 <= b_0 <= 1.0, -3.0 <= b_1 <= 10.0, 0 <= x_0 <= 0.6, 0 <= x_1 <= 1.2, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi]): elif all([nmax == 1, tshift == 19, vary_fund == False, -10.0 <= a_0 <= 10.0, -10.0 <= a_1 <= 10.0, -9.0 <= b_0 <= 9.0, -10.0 <= b_1 <= 32.0, 0 <= x_0 <= 0.6, 0 <= x_1 <= 1.0, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi]):
return 0.0 return 0.0
return -np.inf return -np.inf
...@@ -176,8 +176,8 @@ def log_probability(theta): ...@@ -176,8 +176,8 @@ def log_probability(theta):
#Fit with ptemcee #Fit with ptemcee
#Set the number of cores of your processors #Set the number of cores of your processors
pool = choose_pool(16) pool = choose_pool(32)
pool.size = 16 pool.size = 32
vary_param = float(vary_fund) vary_param = float(vary_fund)
np.random.seed(42) 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]]) 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]])
......
code/RDGW150914_ptemcee2.py
+ 10
− 10
View file @ c7093866
...@@ -41,9 +41,9 @@ tshift=19 ...@@ -41,9 +41,9 @@ tshift=19
vary_fund = True vary_fund = True
#sampler parameters #sampler parameters
npoints=13700 npoints=20000
nwalkers = 840 nwalkers = 1000
ntemps=12 ntemps=16
ndim = int(4*(nmax+1)) ndim = int(4*(nmax+1))
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. 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. #This is trivial but often forgotten: this cannot be more than npoints! Usually 1/5~1/4 npoints is what I observe.
...@@ -139,15 +139,15 @@ def log_prior(theta): ...@@ -139,15 +139,15 @@ def log_prior(theta):
y_0 = theta[6] y_0 = theta[6]
y_1 = theta[7] y_1 = theta[7]
if all([nmax == 1, 0 <= tshift <= 5, vary_fund == True, -0.8 <= a_0 <= 0.8, -1.0 <= a_1 <= 1.0, -2.0 <= b_0 <= 9.0, -2.0 <= b_1 <= 21.0, 0 <= x_0 <= 1.6, 0 <= x_1 <= 1.6, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]): if all([nmax == 1, 0 <= tshift <= 5, vary_fund == True, -1.2 <= a_0 <= 1.2, -1.5 <= a_1 <= 1.5, -9.0 <= b_0 <= 9.0, -10.0 <= b_1 <= 21.0, 0 <= x_0 <= 1.6, 0 <= x_1 <= 1.4, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]):
return 0.0 return 0.0
elif all([nmax == 1, tshift == 19, vary_fund == True, -10.0 <= a_0 <= 10.0, -10.0 <= a_1 <= 10.0, -2.0 <= b_0 <= 10.0, -2.0 <= b_1 <= 10.0, 0 <= x_0 <= 1.0, 0 <= x_1 <= 1.2, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]): elif all([nmax == 1, tshift == 19, vary_fund == True, -10.0 <= a_0 <= 10.0, -10.0 <= a_1 <= 10.0, -9.0 <= b_0 <= 20.0, -9.0 <= b_1 <= 25.0, 0 <= x_0 <= 0.8, 0 <= x_1 <= 0.9, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]):
return 0.0 return 0.0
#PAY EXTRA ATTENTION TO THESE TWO CASES, SINCE WE SHIFTED y_0. THE CORNER PLOTS LABELS NEED TO BE TREATED WITH CARE. #PAY EXTRA ATTENTION TO THESE TWO CASES, SINCE WE SHIFTED y_0. THE CORNER PLOTS LABELS NEED TO BE TREATED WITH CARE.
elif all([nmax == 1, 0 <= tshift <= 5, vary_fund == False, -1.0 <= a_0 <= 1.0, -1.5 <= a_1 <= 1.5, -1.0 <= b_0 <= 1.0, -3.0 <= b_1 <= 12.0, 0 <= x_0 <= 2.0, 0 <= x_1 <= 2.4, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi,]): elif all([nmax == 1, 0 <= tshift <= 5, vary_fund == False, -10.0 <= a_0 <= 10.0, -1.5 <= a_1 <= 1.5, -9.0 <= b_0 <= 9.0, -10.0 <= b_1 <= 16.0, 0 <= x_0 <= 2.2, 0 <= x_1 <= 2.5, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi,]):
return 0.0 return 0.0
elif all([nmax == 1, tshift == 19, vary_fund == False, -1.0 <= a_0 <= 1.0, -10.0 <= a_1 <= 10.0, -1.0 <= b_0 <= 1.0, -3.0 <= b_1 <= 10.0, 0 <= x_0 <= 0.6, 0 <= x_1 <= 1.2, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi]): elif all([nmax == 1, tshift == 19, vary_fund == False, -10.0 <= a_0 <= 10.0, -10.0 <= a_1 <= 10.0, -9.0 <= b_0 <= 9.0, -10.0 <= b_1 <= 32.0, 0 <= x_0 <= 0.6, 0 <= x_1 <= 1.0, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi]):
return 0.0 return 0.0
return -np.inf return -np.inf
...@@ -177,8 +177,8 @@ def log_probability(theta): ...@@ -177,8 +177,8 @@ def log_probability(theta):
#Fit with ptemcee #Fit with ptemcee
#Set the number of cores of your processors #Set the number of cores of your processors
pool = choose_pool(16) pool = choose_pool(32)
pool.size = 16 pool.size = 32
vary_param = float(vary_fund) vary_param = float(vary_fund)
np.random.seed(42) 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]]) 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]])
......
code/RDGW150914_ptemcee3.py
+ 10
− 10
View file @ c7093866
...@@ -42,9 +42,9 @@ tshift=0 ...@@ -42,9 +42,9 @@ tshift=0
vary_fund = False vary_fund = False
#sampler parameters #sampler parameters
npoints=13700 npoints=20000
nwalkers = 840 nwalkers = 1000
ntemps=12 ntemps=16
ndim = int(4*(nmax+1)) ndim = int(4*(nmax+1))
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. 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. #This is trivial but often forgotten: this cannot be more than npoints! Usually 1/5~1/4 npoints is what I observe.
...@@ -140,15 +140,15 @@ def log_prior(theta): ...@@ -140,15 +140,15 @@ def log_prior(theta):
y_0 = theta[6] y_0 = theta[6]
y_1 = theta[7] y_1 = theta[7]
if all([nmax == 1, 0 <= tshift <= 5, vary_fund == True, -0.8 <= a_0 <= 0.8, -1.0 <= a_1 <= 1.0, -2.0 <= b_0 <= 9.0, -2.0 <= b_1 <= 21.0, 0 <= x_0 <= 1.6, 0 <= x_1 <= 1.6, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]): if all([nmax == 1, 0 <= tshift <= 5, vary_fund == True, -1.2 <= a_0 <= 1.2, -1.5 <= a_1 <= 1.5, -9.0 <= b_0 <= 9.0, -10.0 <= b_1 <= 21.0, 0 <= x_0 <= 1.6, 0 <= x_1 <= 1.4, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]):
return 0.0 return 0.0
elif all([nmax == 1, tshift == 19, vary_fund == True, -10.0 <= a_0 <= 10.0, -10.0 <= a_1 <= 10.0, -2.0 <= b_0 <= 10.0, -2.0 <= b_1 <= 10.0, 0 <= x_0 <= 1.0, 0 <= x_1 <= 1.2, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]): elif all([nmax == 1, tshift == 19, vary_fund == True, -10.0 <= a_0 <= 10.0, -10.0 <= a_1 <= 10.0, -9.0 <= b_0 <= 20.0, -9.0 <= b_1 <= 25.0, 0 <= x_0 <= 0.8, 0 <= x_1 <= 0.9, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]):
return 0.0 return 0.0
#PAY EXTRA ATTENTION TO THESE TWO CASES, SINCE WE SHIFTED y_0. THE CORNER PLOTS LABELS NEED TO BE TREATED WITH CARE. #PAY EXTRA ATTENTION TO THESE TWO CASES, SINCE WE SHIFTED y_0. THE CORNER PLOTS LABELS NEED TO BE TREATED WITH CARE.
elif all([nmax == 1, 0 <= tshift <= 5, vary_fund == False, -1.0 <= a_0 <= 1.0, -1.5 <= a_1 <= 1.5, -1.0 <= b_0 <= 1.0, -3.0 <= b_1 <= 12.0, 0 <= x_0 <= 2.0, 0 <= x_1 <= 2.4, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi,]): elif all([nmax == 1, 0 <= tshift <= 5, vary_fund == False, -10.0 <= a_0 <= 10.0, -1.5 <= a_1 <= 1.5, -9.0 <= b_0 <= 9.0, -10.0 <= b_1 <= 16.0, 0 <= x_0 <= 2.2, 0 <= x_1 <= 2.5, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi,]):
return 0.0 return 0.0
elif all([nmax == 1, tshift == 19, vary_fund == False, -1.0 <= a_0 <= 1.0, -10.0 <= a_1 <= 10.0, -1.0 <= b_0 <= 1.0, -3.0 <= b_1 <= 10.0, 0 <= x_0 <= 0.6, 0 <= x_1 <= 1.2, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi]): elif all([nmax == 1, tshift == 19, vary_fund == False, -10.0 <= a_0 <= 10.0, -10.0 <= a_1 <= 10.0, -9.0 <= b_0 <= 9.0, -10.0 <= b_1 <= 32.0, 0 <= x_0 <= 0.6, 0 <= x_1 <= 1.0, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi]):
return 0.0 return 0.0
return -np.inf return -np.inf
...@@ -178,8 +178,8 @@ def log_probability(theta): ...@@ -178,8 +178,8 @@ def log_probability(theta):
#Fit with ptemcee #Fit with ptemcee
#Set the number of cores of your processors #Set the number of cores of your processors
pool = choose_pool(16) pool = choose_pool(32)
pool.size = 16 pool.size = 32
vary_param = float(vary_fund) vary_param = float(vary_fund)
np.random.seed(42) 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]]) 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]])
......
code/RDGW150914_ptemcee4.py
+ 10
− 10
View file @ c7093866
...@@ -42,9 +42,9 @@ tshift=19 ...@@ -42,9 +42,9 @@ tshift=19
vary_fund = False vary_fund = False
#sampler parameters #sampler parameters
npoints=13700 npoints=20000
nwalkers = 840 nwalkers = 1000
ntemps=12 ntemps=16
ndim = int(4*(nmax+1)) ndim = int(4*(nmax+1))
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. 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. #This is trivial but often forgotten: this cannot be more than npoints! Usually 1/5~1/4 npoints is what I observe.
...@@ -140,15 +140,15 @@ def log_prior(theta): ...@@ -140,15 +140,15 @@ def log_prior(theta):
y_0 = theta[6] y_0 = theta[6]
y_1 = theta[7] y_1 = theta[7]
if all([nmax == 1, 0 <= tshift <= 5, vary_fund == True, -0.8 <= a_0 <= 0.8, -1.0 <= a_1 <= 1.0, -2.0 <= b_0 <= 9.0, -2.0 <= b_1 <= 21.0, 0 <= x_0 <= 1.6, 0 <= x_1 <= 1.6, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]): if all([nmax == 1, 0 <= tshift <= 5, vary_fund == True, -1.2 <= a_0 <= 1.2, -1.5 <= a_1 <= 1.5, -9.0 <= b_0 <= 9.0, -10.0 <= b_1 <= 21.0, 0 <= x_0 <= 1.6, 0 <= x_1 <= 1.4, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]):
return 0.0 return 0.0
elif all([nmax == 1, tshift == 19, vary_fund == True, -10.0 <= a_0 <= 10.0, -10.0 <= a_1 <= 10.0, -2.0 <= b_0 <= 10.0, -2.0 <= b_1 <= 10.0, 0 <= x_0 <= 1.0, 0 <= x_1 <= 1.2, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]): elif all([nmax == 1, tshift == 19, vary_fund == True, -10.0 <= a_0 <= 10.0, -10.0 <= a_1 <= 10.0, -9.0 <= b_0 <= 20.0, -9.0 <= b_1 <= 25.0, 0 <= x_0 <= 0.8, 0 <= x_1 <= 0.9, 0 <= y_0 <= 2*np.pi, 0 <= y_1 <= 2*np.pi]):
return 0.0 return 0.0
#PAY EXTRA ATTENTION TO THESE TWO CASES, SINCE WE SHIFTED y_0. THE CORNER PLOTS LABELS NEED TO BE TREATED WITH CARE. #PAY EXTRA ATTENTION TO THESE TWO CASES, SINCE WE SHIFTED y_0. THE CORNER PLOTS LABELS NEED TO BE TREATED WITH CARE.
elif all([nmax == 1, 0 <= tshift <= 5, vary_fund == False, -1.0 <= a_0 <= 1.0, -1.5 <= a_1 <= 1.5, -1.0 <= b_0 <= 1.0, -3.0 <= b_1 <= 12.0, 0 <= x_0 <= 2.0, 0 <= x_1 <= 2.4, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi,]): elif all([nmax == 1, 0 <= tshift <= 5, vary_fund == False, -10.0 <= a_0 <= 10.0, -1.5 <= a_1 <= 1.5, -9.0 <= b_0 <= 9.0, -10.0 <= b_1 <= 16.0, 0 <= x_0 <= 2.2, 0 <= x_1 <= 2.5, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi,]):
return 0.0 return 0.0
elif all([nmax == 1, tshift == 19, vary_fund == False, -1.0 <= a_0 <= 1.0, -10.0 <= a_1 <= 10.0, -1.0 <= b_0 <= 1.0, -3.0 <= b_1 <= 10.0, 0 <= x_0 <= 0.6, 0 <= x_1 <= 1.2, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi]): elif all([nmax == 1, tshift == 19, vary_fund == False, -10.0 <= a_0 <= 10.0, -10.0 <= a_1 <= 10.0, -9.0 <= b_0 <= 9.0, -10.0 <= b_1 <= 32.0, 0 <= x_0 <= 0.6, 0 <= x_1 <= 1.0, 0 <= y_0-np.pi <= 2*np.pi, 0 <= y_1 <= 2*np.pi]):
return 0.0 return 0.0
return -np.inf return -np.inf
...@@ -178,8 +178,8 @@ def log_probability(theta): ...@@ -178,8 +178,8 @@ def log_probability(theta):
#Fit with ptemcee #Fit with ptemcee
#Set the number of cores of your processors #Set the number of cores of your processors
pool = choose_pool(16) pool = choose_pool(32)
pool.size = 16 pool.size = 32
vary_param = float(vary_fund) vary_param = float(vary_fund)
np.random.seed(42) 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]]) 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]])
......
code/condor_submit_RdownPtemcee1.sub
+ 1
− 1
View file @ c7093866
...@@ -13,7 +13,7 @@ notify_user = rl746@cornell.edu ...@@ -13,7 +13,7 @@ notify_user = rl746@cornell.edu
notification = Complete notification = Complete
arguments = "-processid $(Process)" arguments = "-processid $(Process)"
request_memory = 232GB request_memory = 232GB
request_cpus = 16 request_cpus = 32
on_exit_remove = (ExitBySignal == False) || ((ExitBySignal == True) && (ExitSignal != 11)) on_exit_remove = (ExitBySignal == False) || ((ExitBySignal == True) && (ExitSignal != 11))
accounting_group = aei.dev.test_dynesty accounting_group = aei.dev.test_dynesty
queue 1 queue 1
......
code/condor_submit_RdownPtemcee2.sub
+ 1
− 1
View file @ c7093866
...@@ -13,7 +13,7 @@ notify_user = rl746@cornell.edu ...@@ -13,7 +13,7 @@ notify_user = rl746@cornell.edu
notification = Complete notification = Complete
arguments = "-processid $(Process)" arguments = "-processid $(Process)"
request_memory = 232GB request_memory = 232GB
request_cpus = 16 request_cpus = 32
on_exit_remove = (ExitBySignal == False) || ((ExitBySignal == True) && (ExitSignal != 11)) on_exit_remove = (ExitBySignal == False) || ((ExitBySignal == True) && (ExitSignal != 11))
accounting_group = aei.dev.test_dynesty accounting_group = aei.dev.test_dynesty
queue 1 queue 1
......
code/condor_submit_RdownPtemcee3.sub
+ 1
− 1
View file @ c7093866
...@@ -13,7 +13,7 @@ notify_user = rl746@cornell.edu ...@@ -13,7 +13,7 @@ notify_user = rl746@cornell.edu
notification = Complete notification = Complete
arguments = "-processid $(Process)" arguments = "-processid $(Process)"
request_memory = 232GB request_memory = 232GB
request_cpus = 16 request_cpus = 32
on_exit_remove = (ExitBySignal == False) || ((ExitBySignal == True) && (ExitSignal != 11)) on_exit_remove = (ExitBySignal == False) || ((ExitBySignal == True) && (ExitSignal != 11))
accounting_group = aei.dev.test_dynesty accounting_group = aei.dev.test_dynesty
queue 1 queue 1
......
code/condor_submit_RdownPtemcee4.sub
+ 1
− 1
View file @ c7093866
...@@ -13,7 +13,7 @@ notify_user = rl746@cornell.edu ...@@ -13,7 +13,7 @@ notify_user = rl746@cornell.edu
notification = Complete notification = Complete
arguments = "-processid $(Process)" arguments = "-processid $(Process)"
request_memory = 232GB request_memory = 232GB
request_cpus = 16 request_cpus = 32
on_exit_remove = (ExitBySignal == False) || ((ExitBySignal == True) && (ExitSignal != 11)) on_exit_remove = (ExitBySignal == False) || ((ExitBySignal == True) && (ExitSignal != 11))
accounting_group = aei.dev.test_dynesty accounting_group = aei.dev.test_dynesty
queue 1 queue 1
......
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