diff --git a/garlic/fig/nbody/baseline.R b/garlic/fig/nbody/baseline.R
index 2e23213..b0c73c3 100644
--- a/garlic/fig/nbody/baseline.R
+++ b/garlic/fig/nbody/baseline.R
@@ -12,7 +12,7 @@ if (length(args)>0) { input_file = args[1] }
 
 # Load the dataset in NDJSON format
 dataset = jsonlite::stream_in(file(input_file)) %>%
-	jsonlite::flatten()
+  jsonlite::flatten()
 
 particles = unique(dataset$config.particles)
 
@@ -25,12 +25,12 @@ df = select(dataset,
   config.particles,
   config.gitBranch,
   time) %>%
-	rename(nblocks=config.nblocks,
+  rename(nblocks=config.nblocks,
     nodes=config.nodes,
     blocksize=config.blocksize,
     particles=config.particles,
     gitBranch=config.gitBranch,
-		cpusPerSocket=config.hw.cpusPerSocket)
+    cpusPerSocket=config.hw.cpusPerSocket)
 
 df = df %>% mutate(blocksPerCpu = nblocks / cpusPerSocket)
 df$nblocks = as.factor(df$nblocks)
@@ -42,22 +42,23 @@ df$gitBranch = as.factor(df$gitBranch)
 
 # Normalize the time by the median
 D=group_by(df, nblocks, nodesFactor, gitBranch) %>%
-	mutate(tmedian = median(time)) %>%
-	mutate(tnorm = time / median(time) - 1) %>%
-	mutate(bad = max(ifelse(abs(tnorm) >= 0.01, 1, 0))) %>%
+  mutate(tmedian = median(time)) %>%
+  mutate(tn = tmedian * nodes) %>%
+  mutate(tnorm = time / median(time) - 1) %>%
+  mutate(bad = max(ifelse(abs(tnorm) >= 0.01, 1, 0))) %>%
   ungroup() %>%
   group_by(nodesFactor, gitBranch) %>%
-	mutate(tmedian_min = min(tmedian)) %>%
+  mutate(tmedian_min = min(tmedian)) %>%
   ungroup() %>%
   group_by(gitBranch) %>%
-	mutate(tmin_max = max(tmedian_min)) %>%
-	mutate(tideal = tmin_max / nodes) %>%
+  mutate(tmin_max = max(tmedian_min)) %>%
+  mutate(tideal = tmin_max / nodes) %>%
   ungroup()
 
 D$bad = as.factor(D$bad)
 
 #D$bad = as.factor(ifelse(abs(D$tnorm) >= 0.01, 2,
-#	       ifelse(abs(D$tnorm) >= 0.005, 1, 0)))
+#         ifelse(abs(D$tnorm) >= 0.005, 1, 0)))
 
 bs_unique = unique(df$nblocks)
 nbs=length(bs_unique)
@@ -75,34 +76,34 @@ png("box.png", width=w*ppi, height=h*ppi, res=ppi)
 # Create the plot with the normalized time vs nblocks
 p = ggplot(data=D, aes(x=blocksPerCpuFactor, y=tnorm, color=bad)) +
 
-	# Labels
-	labs(x="Blocks/CPU", y="Normalized time",
+  # Labels
+  labs(x="Blocks/CPU", y="Normalized time",
               title=sprintf("Nbody normalized time. Particles=%d", particles), 
               subtitle=input_file) +
 
 
-	# Center the title
-	#theme(plot.title = element_text(hjust = 0.5)) +
+  # Center the title
+  #theme(plot.title = element_text(hjust = 0.5)) +
 
-	# Black and white mode (useful for printing)
-	#theme_bw() +
+  # Black and white mode (useful for printing)
+  #theme_bw() +
 
-	# Add the maximum allowed error lines
-	geom_hline(yintercept=c(-0.01, 0.01),
-		linetype="dashed", color="gray") +
+  # Add the maximum allowed error lines
+  geom_hline(yintercept=c(-0.01, 0.01),
+    linetype="dashed", color="gray") +
 
-	# Draw boxplots
-	geom_boxplot(aes(fill=nodesFactor)) +
-	scale_color_manual(values=c("black", "brown")) +
+  # Draw boxplots
+  geom_boxplot(aes(fill=nodesFactor)) +
+  scale_color_manual(values=c("black", "brown")) +
   facet_grid(gitBranch ~ .) +
 
-	#scale_y_continuous(breaks = scales::pretty_breaks(n = 10)) +
+  #scale_y_continuous(breaks = scales::pretty_breaks(n = 10)) +
 
 
-	#theme(legend.position = "none")
-	#theme(legend.position = c(0.85, 0.85))
-	theme_bw()+
-	theme(plot.subtitle=element_text(size=8))
+  #theme(legend.position = "none")
+  #theme(legend.position = c(0.85, 0.85))
+  theme_bw()+
+  theme(plot.subtitle=element_text(size=8))
 
 
 
@@ -114,20 +115,20 @@ dev.off()
 
 p1 = ggplot(D, aes(x=blocksizeFactor, y=time)) +
 
-	labs(x="Blocksize", y="Time (s)",
+  labs(x="Blocksize", y="Time (s)",
               title=sprintf("Nbody granularity. Particles=%d", particles), 
               subtitle=input_file) +
-	theme_bw() +
-	theme(plot.subtitle=element_text(size=8)) +
-	#theme(legend.position = c(0.5, 0.8)) +
+  theme_bw() +
+  theme(plot.subtitle=element_text(size=8)) +
+  #theme(legend.position = c(0.5, 0.8)) +
 
-	geom_line(aes(y=tmedian,
+  geom_line(aes(y=tmedian,
     group=interaction(gitBranch, nodesFactor),
     color=nodesFactor)) +
-	geom_point(aes(color=nodesFactor), size=3, shape=21) +
+  geom_point(aes(color=nodesFactor), size=3, shape=21) +
   facet_grid(gitBranch ~ .) +
-	scale_shape_manual(values=c(21, 22)) +
-	scale_y_continuous(trans=log2_trans())
+  scale_shape_manual(values=c(21, 22)) +
+  scale_y_continuous(trans=log2_trans())
 
 png("time-blocksize.png", width=w*ppi, height=h*ppi, res=ppi)
 print(p1)
@@ -135,20 +136,20 @@ dev.off()
 
 p2 = ggplot(D, aes(x=blocksPerCpuFactor, y=time)) +
 
-	labs(x="Blocks/CPU", y="Time (s)",
+  labs(x="Blocks/CPU", y="Time (s)",
               title=sprintf("Nbody granularity. Particles=%d", particles), 
               subtitle=input_file) +
-	theme_bw() +
-	theme(plot.subtitle=element_text(size=8)) +
+  theme_bw() +
+  theme(plot.subtitle=element_text(size=8)) +
 
-	geom_line(aes(y=tmedian,
+  geom_line(aes(y=tmedian,
     group=interaction(gitBranch, nodesFactor),
     color=nodesFactor)) +
-	geom_point(aes(color=nodesFactor), size=3, shape=21) +
+  geom_point(aes(color=nodesFactor), size=3, shape=21) +
   facet_grid(gitBranch ~ .) +
 
-	scale_shape_manual(values=c(21, 22)) +
-	scale_y_continuous(trans=log2_trans())
+  scale_shape_manual(values=c(21, 22)) +
+  scale_y_continuous(trans=log2_trans())
 
 png("time-blocks-per-cpu.png", width=w*ppi, height=h*ppi, res=ppi)
 print(p2)
@@ -163,37 +164,37 @@ dev.off()
 
 png("exp-space.png", width=w*ppi, height=h*ppi, res=ppi)
 p = ggplot(data=df, aes(x=nodesFactor, y=particlesFactor)) +
-	labs(x="Nodes", y="Particles", title="Nbody: Experiment space") +
-	geom_line(aes(group=particles)) +
-	geom_point(aes(color=nodesFactor), size=3) +
+  labs(x="Nodes", y="Particles", title="Nbody: Experiment space") +
+  geom_line(aes(group=particles)) +
+  geom_point(aes(color=nodesFactor), size=3) +
   facet_grid(gitBranch ~ .) +
-	theme_bw()
+  theme_bw()
 print(p)
 dev.off()
 
 
 png("gra-space.png", width=w*ppi, height=h*ppi, res=ppi)
 p = ggplot(data=D, aes(x=nodesFactor, y=blocksPerCpuFactor)) +
-	labs(x="Nodes", y="Blocks/CPU", title="Nbody: Granularity space") +
-	geom_line(aes(group=nodesFactor)) +
-	geom_point(aes(color=nodesFactor), size=3) +
+  labs(x="Nodes", y="Blocks/CPU", title="Nbody: Granularity space") +
+  geom_line(aes(group=nodesFactor)) +
+  geom_point(aes(color=nodesFactor), size=3) +
   facet_grid(gitBranch ~ .) +
-	theme_bw()
+  theme_bw()
 print(p)
 dev.off()
 
 
 png("performance.png", width=w*ppi, height=h*ppi, res=ppi)
 p = ggplot(D, aes(x=nodesFactor)) +
-	labs(x="Nodes", y="Time (s)", title="Nbody strong scaling") +
-	theme_bw() +
-	geom_line(aes(y=tmedian,
+  labs(x="Nodes", y="Time (s)", title="Nbody strong scaling") +
+  theme_bw() +
+  geom_line(aes(y=tmedian,
     linetype=blocksPerCpuFactor,
     group=interaction(gitBranch, blocksPerCpuFactor))) +
-	geom_line(aes(y=tideal, group=gitBranch), color="red") +
-	geom_point(aes(y=tmedian, color=nodesFactor), size=3) +
+  geom_line(aes(y=tideal, group=gitBranch), color="red") +
+  geom_point(aes(y=tmedian, color=nodesFactor), size=3) +
   facet_grid(gitBranch ~ .) +
-	scale_shape_manual(values=c(21, 22)) +
-	scale_y_continuous(trans=log2_trans())
+  scale_shape_manual(values=c(21, 22)) +
+  scale_y_continuous(trans=log2_trans())
 print(p)
 dev.off()