From eb3224517a222541b3b5d6fd3cf54a45537e4cc6 Mon Sep 17 00:00:00 2001 From: caes Date: Fri, 27 Jan 2017 10:31:23 -0500 Subject: [PATCH] adding data for lab 1 --- alpha_spectroscopy/data/.RData | Bin 0 -> 358885 bytes alpha_spectroscopy/data/.Rhistory | 512 ++ alpha_spectroscopy/data/4_3.csv | 8201 ++++++++++++++++++++ alpha_spectroscopy/data/5_1_100.csv | 8200 +++++++++++++++++++ alpha_spectroscopy/data/5_1_25.csv | 8200 +++++++++++++++++++ alpha_spectroscopy/data/5_1_50.csv | 8193 +++++++++++++++++++ alpha_spectroscopy/data/5_1_noabsorber.csv | 8200 +++++++++++++++++++ alpha_spectroscopy/data/5_2.csv | 26 + 8 files changed, 41532 insertions(+) create mode 100644 alpha_spectroscopy/data/.RData create mode 100644 alpha_spectroscopy/data/.Rhistory create mode 100644 alpha_spectroscopy/data/4_3.csv create mode 100644 alpha_spectroscopy/data/5_1_100.csv create mode 100644 alpha_spectroscopy/data/5_1_25.csv create mode 100644 alpha_spectroscopy/data/5_1_50.csv create mode 100644 alpha_spectroscopy/data/5_1_noabsorber.csv create mode 100644 alpha_spectroscopy/data/5_2.csv diff --git a/alpha_spectroscopy/data/.RData b/alpha_spectroscopy/data/.RData new file mode 100644 index 0000000000000000000000000000000000000000..580dfbfca07fb51a6e4ff589e5c3f8d35c636b06 GIT binary patch literal 358885 zcmd3N=Qo^R)HVh~gdw7rAzBayBT6u%mqdgRB7%q-(TQ$GAEJxiTYgH2L>ImHn&_hU zl9^ElGrZQj-u3?xpKI@HpM8U)D2V=V0URihy?r(G8}*MyPxl8c z6>*26!GWRb0SPg~eO21~;zWYGqPze8H5mQu`S_7!p%U4Nj^ zR1K}ZE$*J@X3>3+aXM43r?jMyjy}z1|L8b;b2MC@6wck*e=$5VEpa_ac%@2vk2GK1 zLlKA%!gM(xH%21khA#$u5mh-{`xKaA4cPI!8eIkAK^J+FA=iv}8l5<%t|0$3;v&j@ zmtW1=^J0a4l;(z2D{d6D6{mgC(oGU(m|<-gF8Xpvn_uVCozt*m+iCK>Tw{~6Cs|Sl zkQ&Nah>gGNWx2=StaYiea!z7Mhnd%p=YDH$Dsd*Vddum%BqU(0yNS&i*|rSytxh0) zlZD}EG)=NX=S7%5FN31VJ6p?gtAfNhV-ukagLSfPpupkl)2Q?tTXm+r*f<=^>)l9u z(WBt8#aX%Ja)YCl_6ldqzEpaXqJklZzgB(cMl(k2CDR@@N8*JY_F1KuLs~2hqi9TD zRy1Alp$ryPelkG0Tt_5~Fo5MLob(N*N&w231G95xce91ethR^;AaRXY%UCzbUTyYdxc}GN$Vdrd_WG#u<@O 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zQ|nUqB#>&A(LKKQ=5`tLXkR)m>FCZ^y>=UMuWR0Tba6HCYQm!jgjY1LKI*Y6tBmnZM%rL>IW28M7;FR>UB!BVD1jDWm55{Xu&vuKb5W zYAus=jztUK{}m^DZ{LC}KL0}P-Mer0=dJE;bUwG#+SPoqc6Nd9+>qO^_TRYStZVrU ze}5i%T-FyK)T}>K_%3m=kJW~`D)IdOXE&TD+<3}%li0VXS#@NnmkVyVFKV~RC1}`YrHt`5H#*ivKaGp>qq)&N3z`XsujI; dF5zB6fqj@?`woQA;EKM^?e?7-H-6?T{~!HD#X0~0 literal 0 HcmV?d00001 diff --git a/alpha_spectroscopy/data/.Rhistory b/alpha_spectroscopy/data/.Rhistory new file mode 100644 index 0000000..18d60da --- /dev/null +++ b/alpha_spectroscopy/data/.Rhistory @@ -0,0 +1,512 @@ +help(seq) +seq(0,8191) +dim(seq(0,8191) +0 +dim(radium) +dim(radium[1]) +(radium[1,1] +(radium[1,0] +0 +radium[1,0] +radium[1,1] +plot(radium[1,1]) +mean(radium) +mean(radium[1]) +summary(radium) +sd(radium) +radium[1] +sd(radium[1]) +sd(radium[V1]) +sapply(radium,mean) +sapply(radium,sd) +hist(radium) +sapply(radium,hist) +x <- seq_along(r) +x <- seq_along(radium) +x +x <- seq_along(radium[V1]) +x <- seq_along(radium[1) +x <- seq_along(radium[1]) +x +radiu +radium +f <- function(par) +{ +m <- par[1] +sd <- par[2] +k <- par[3] +yhat <- k * exp(-0.5 * ((x - m)/sd)^2) +sum((r - rhat)^2) +} +optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9)) +f <- function(par) +{ +m <- par[1] +sd <- par[2] +k <- par[3] +yhat <- k * exp(-0.5 * ((x - m)/sd)^2) +sum((radium - rhat)^2) +} +optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9)) +f <- function(par) +{ +m <- par[1] +sd <- par[2] +k <- par[3] +yhat <- k * exp(-0.5 * ((x - m)/sd)^2) +sum((radium - yhat)^2) +} +optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9)) +help(unlist) +help(data) +data +data() +radium +row +row.names(radium) +names(radium) +help(row) +Radium <- as.numeric(radium[1,]) +Radium +Radium <- as.numeric(radium[2,]) +Radium +Radium <- as.numeric(radium[1,]) +Radium <- as.numeric(radium[1]) +radium[1, +radium[1,] +radium[1,] +radium[1] +Radium <- as.numeric(radium[1]) +Radium <- as.numeric(radium[1,2]) +Radium +Radium <- as.numeric(radium[1,1]) +Radium +radium[1,1] +radium[2,1] +radium[2,] +radium[1,] +radium[0,] +radium +radium["V1"] +radium["V1sdf"] +radium["V1"] +radium[,] +radium[,1] +radium[,0] +radium[,1] +radium[,2] +radium[,] +Radium <- as.numeric(radium[,]) +Radium +plot(seq(0,8191),Radium) +plot(seq_along(Radium),Radium) +plot(radium) +mean(radium_ +mean(radium) +sapply(radium,mean) +skewness +library(fBasics) +test=c(5,6,7,8,9) +test +test[1:3]=0 +test +radium[,70:180] +radium[70:180] +radium[1,70:180] +radium[,70:180] +radium[,] +radium[,][70:180] +radium[,1:3] +radium[,]1:3] +radium[,][1:3] +radium[,][90:180] +radium[,][:180] +radium[,][90] +radium[,][70] +radium[,] +plot(radium[,]) +radium$V1 +plot(radium$v1) +plot(radium$V1) +library("MASS") +fitdistr(radium," +fitdistr(radium,"normal") +help(fitdistr) +fitdistr(Radium,"normal") +hist +hist(radium) +hist(Radium) +hist(Radium,prob=TRUE) +dput(radium) +dput(Radium) +plot(Radium) +x <- seq_along(radium) +y <- radium +f +f <- function(par) +m <- par[1] +sd <- par[2] +k <- par[3] +f = function(par) +{ +m = par[1] +sd = par[2] +k = par[3] +yhat = k * exp(-0.5 * ((x - m)/sd)^2) +sum((y - yhat)^2) +} +optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9) +optim(c(15,2,1),f,method="BFGS",control=list(reltol=1e-9)) +optim(c(12,3,2),f,method="BFGS",control=list(reltol=1e-9)) +cal = read.table("AM_calibration_curve") +cal +summary(cal) +help(read.table) +cal = read.table("AM_calibration_curve",header=TRUE) +cal +plot(cal) +cal$count +plot(cal$count) +Cal = cal$count +Cal +plot(Cal) +skewness(Cal) +f +g = function(par) +m = par[1] +sd = par[2] +g = function(par) +m = par[1] +g = function(par) +{ +m = par[1] +sd = par[2] +k = par[3] +yhat = k * exp(-0.5 * ((x - m)/sd)^2) +sum((y - yhat)^2) +} +x = Cal +x = seq_along(Cal) +x +y = Cal +optim(c(12,3,2),f,method="BFGS",control=list(reltol=1e-9)) +tab = data.frame(x,y) +plot(tab) +(res <- nls( r ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab)) +tabv +tab +(res <- nls( r ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab)) +red +res +summar(res) +summary(res) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=12,sigma=5,k=1) , data = tab)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=12,sigma=3,k=1) , data = tab)) +v <- summary(res)$parameters[,"Estimate"] +plot(y~x, data=tab) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) ) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7500,sigma=200,k=1) , data = tab)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7500,sigma=20,k=1) , data = tab)) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) ) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) ) +plot(y~x, data=tab) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) ) +summary(res) +v <- summary(res)$parameters[,"Estimate"] +plot(r~x, data=tab) +plot(y~x, data=tab) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) ) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=5,add=T,xlim=range(tab$x) ) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=3,add=T,xlim=range(tab$x) ) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) ) +function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) +function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2) +v[3]*exp(-1/2*(x-v[1])^2/v[2]^2) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2)) +function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) ) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) ) +help(plot) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),type=l) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),l) +help plot +help(plot) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),type="l") +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l") +plot(cal) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l") +plot(y~x, data=tab) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l") +plot(y~x, data=tab) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add=TRUE) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add=T) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) ) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add="T) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add=T) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,type="l",add=T,xlim=range(tab$x)) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) ) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) ) +help(plot_ +help(plot) +help(plot) +help(plot) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)) +plot(y~x, data=tab) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)) +plot(y~x, data=tab) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T) +plot(y~x, data=tab) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)) +plot(y~x, data=tab) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)) +plot(y~x, data=tab) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)) +plot(y~x, data=tab) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)) +plot(y~x, data=tab) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)) +plot(y~x, data=tab) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x)) +plot(y~x, data=tab) +help(nls) +gumbel +library(gumbel) +help(gumbel) +??gumbel +help(maxit) +library(fitdistrplus) +library(fitdist) +fitdist +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7500,beta=50,) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7500,beta=50) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7500,beta=100) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7500,beta=1) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7000,beta=1) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=10) , data = tab)) +plot(y~x, data=tab) +v <- summary(res)$parameters[,"Estimate"] +plot(function(x) (1/v[2])*exp((x-v[1])/v[2] - exp((x - v[1])/v[2])) +plot(function(x) (1/v[2])*exp((x-v[1])/v[2] - exp((x - v[1])/v[2])),col=2,add=T,xlim=range(tab$x)) +function(x) (1/v[2])*exp((x-v[1])/v[2] - exp((x - v[1])/v[2])) +(1/v[2])*exp((x-v[1])/v[2] - exp((x - v[1])/v[2])) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=.1) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=.15) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=.01) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7200,beta=2) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=6800,beta=2) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=6900,beta=2) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=6950,beta=2) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7550,beta=2) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7550,beta=3) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7550,beta=4) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7550,beta=14) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7350,beta=14) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7350,beta=19) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7350,beta=10) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7250,beta=10) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7254,beta=10) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7254,beta=15) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7254,beta=19) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7254,beta=100) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), start=c(alpha=7254,beta=100) , data = tab)) +(res <- nls( y ~ (1/beta)*exp((-x-alpha)/beta - exp((-x - alpha)/beta)), start=c(alpha=7254,beta=100) , data = tab)) +library(gumbel) +help(fitdistr) +help(fitdistr) +fitdistr(x,"Gamma") +fitdistr(x,"gamma") +fitdistr(y,"gamma") +fitdistr(y~x,"gamma") +x +1 +y +help(fitdistr) +x3 <- rweibull(100, shape = 4, scale = 100) +x3 +fitdistr(y,"gamma") +fitdistr(y,"weibull"") +fitdistr(y,"weibull") +help(fitdistr) +fitdistr(y,"weibull") +y +fitdistr(y,"gamma") +help(nls) +help(nls.control) +tab +man(nls) +help(nls) +y +help(~) +help("~") +help(formula) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=5,k=1) , data = tab)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , data = tab)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , y)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal)) +cal +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal)) +help(nls) +help(nls.control) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal, control=minFactor(0.0002)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal, control=minFactor(0.0002))) +help(nls.control) +help(nls.control) +nls.control(minFactor=0.0001) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal).control(minFactor=0.0001)) +help(nls.control) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal).control(minFactor=1/2048)) +nls.control(minFactor=0.0001) +nls.control +1/1024 +nls.control(minFactor=0.0001); +nls.control(minFactor=0.0001) +nls.control(minFactor=0.0001) bls +nls.control(minFactor=0.0001) nls +nls.control(minFactor=0.0001) nls() +nls.control(minFactor=0.0001); nls() +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal).control(minFactor=1/2048)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal)) +nls.control(minFactor=0.0001); (res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal)) +help(nls.control) +nls.control(minFactor=1/2048) +nls.control(minFactor=1/4096) +nls.control(minFactor=0.0001); (res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal)) +nls.control(minFactor=1/4096) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , cal)) +help(nls) +help(nls) +help(nls) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7200,sigma=50,k=1) , data = cal)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), cal, start=c(mu=7200,sigma=50,k=1))) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), cal, start=c(mu=7200,sigma=50,k=1),control=list(minFactor=1/4096))) +v <- summary(res)$parameters[,"Estimate"] +plot(y~x, data=tab) +plot(function(x) v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,add=T,xlim=range(tab$x) ) +tab +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), data=y,start=c(alpha=7200,beta=10),control=list(minFactor=1/4096))) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), y,start=c(alpha=7200,beta=10),control=list(minFactor=1/4096))) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), cal,start=c(alpha=7200,beta=10),control=list(minFactor=1/4096))) +res +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), cal,start=c(alpha=7200,beta=10))) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), cal,start=c(alpha=7200,beta=1))) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), cal,start=c(alpha=7200,beta=1),control=list(minFactor=1/4096))) +help(nls.control) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), cal,start=c(alpha=7200,beta=1),control=list(minFactor=1/4096,maxiter=100))) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), cal,start=c(alpha=7200,beta=1),control=list(minFactor=1/4096,maxiter=200))) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), data=y,start=c(alpha=7200,beta=1),control=list(minFactor=1/8192,maxiter=1000))) +cal +y +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), data=cal,start=c(alpha=7200,beta=1),control=list(minFactor=1/8192,maxiter=1000))) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), data=cal,start=c(alpha=7200,beta=1),control=list(minFactor=1/16384,maxiter=1000))) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), data=cal,start=c(alpha=7200,beta=1),control=list(minFactor=1/50000,maxiter=1000))) +(res <- nls( y ~ (1/beta)*exp((x-alpha)/beta - exp((x - alpha)/beta)), data=cal,start=c(alpha=7800,beta=1),control=list(minFactor=1/50000,maxiter=1000))) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=15,sigma=5,k=1) , data = tab)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7500,sigma=50,k=1) , data = tab))) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7500,sigma=50,k=1) , data = tab) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7500,sigma=50,k=1) , data = tab)) +(res <- nls( y ~ k*exp(-1/2*(x-mu)^2/sigma^2), start=c(mu=7800,sigma=50,k=1) , data = tab)) +help(write) +v[3]*exp(-1/2*(x-v[1])^2/v[2]^2) +write(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),file="calibration_gaussian") +help(write) +write(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),file="calibration_gaussian".ncolumns=1) +write(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),file="calibration_gaussian",ncolumns=1) +plot(cal) +plot(x) +plot(y) +help(plot) +plot(y,xlab="channel") +plot(y,xlab="Channel") +plot(y,xlab="Channel",ylab="Count") +help(plot) +help(axis) +axis(1,labels=FALSe) +axis(1,labels=FALSE) +axis(1,labels=FALSE) +axis(1,labels=TRUE) +axis(2) +box() +rnorm +require(stats) +rnorm +plot(1:4,rnorm(4),axes=FALSe) +plot(1:4,rnorm(4),axes=FALSE) +plot(1:4,rnorm(4),axes=FALSE) +plot(1:4,rnorm(4),axes=FALSE) +plot(1:4,rnorm(4),axes=FALSE) +plot(1:4,rnorm(4),axes=FALSE) +plot(1:4,rnorm(4),axes=FALSE) +plot(y,xlab="Channel",ylab="Count") +lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2)) +lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=red) +lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2) +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2) +plot(y,xlab="Channel",ylab="Count") +plot(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2) +plot(y,xlab="Channel",ylab="Count") +points(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2) +undo +undo() +cancel() +plot(y,xlab="Channel",ylab="Count") +help(lines) +lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2) +help(points) +lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,lwd=2) +plot(y,xlab="Channel",ylab="Count",lwd=4) +plot(y,xlab="Channel",ylab="Count",lwd=1) +plot(y,xlab="Channel",ylab="Count",lwd=.5) +lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,lwd=2) +man(hist) +help(hist) +hist(x) +hist(y) +help(hist) +help(hist,freq=TRUE) +hist(y,freq=TRUE) +hist(y) +hist(y,freq=TRUE) +help(hist,freq=TRUE) +help(hist) +hist(x~y,freq=TRUE) +hist(x~y) +x +y +hist(cal) +hist(x) +axis +help(axis) +axis(ylim=c(0,1000)) +axis(list(ylim=c(0,1000))) +help(axis) +hist(x,ylim=c(0,1000)) +plot(y,xlab="Channel",ylab="Count",lwd=4,pch="x") +plot(y,xlab="Channel",ylab="Count",lwd=4,pch="-") +plot(y,xlab="Channel",ylab="Count",lwd=4,pch="─") +lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,lwd=2) +abline(v = 7913.63,col=3) +abline(v = 7913.63,col=2) +abline(v = 7913.63,col=1) +abline(v = 7913.63,col=4) +abline(v = 7913.63,col=5) +abline(v = 7913.63,col=4,lwd=2) +abline(v = 7813.63,col=4,lwd=2) +plot(y,xlab="Channel",ylab="Count",lwd=4,pch="─") +lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,lwd=2) +plot(y,xlab="Channel",ylab="Count",lwd=4,pch="─") +lines(v[3]*exp(-1/2*(x-v[1])^2/v[2]^2),col=2,lwd=2) +abline(v = 7813.63,col=4,lwd=2) +dev.print(pdf,'calibration.pdf') +q() diff --git a/alpha_spectroscopy/data/4_3.csv b/alpha_spectroscopy/data/4_3.csv new file mode 100644 index 0000000..046a55d --- /dev/null +++ b/alpha_spectroscopy/data/4_3.csv @@ -0,0 +1,8201 @@ +,,,,,,,,mag,err +,,,,tl,e(tl),alphas,s(cm),3.85,0.05 +,,,,3012.56,0.005,11956,r(cm),0.525,0.05 +,,,millitor,mag,err,,,, +Species,Am 241,,Vacuum Start,30,2.5,,,, +Measure Date,01/20/17 09:03 PM,,Vacuum Stop,25,2.5,,activity,853.7152602585,82.0586795771 +Measure Time,3012,3601,,,,,,, +,,,,,,,,, +Channel,Particle Energy,Count,Count without Noise,,,,,, +0,0,0,0,,,,,, +1,0.0007020876,0,0,,,,,, +2,0.0014041752,0,0,,,,,, +3,0.0021062627,0,0,,,,,, +4,0.0028083503,0,0,,,,,, +5,0.0035104379,0,0,,,,,, +6,0.0042125255,0,0,,,,,, +7,0.004914613,0,0,,,,,, +8,0.0056167006,0,0,,,,,, +9,0.0063187882,0,0,,,,,, +10,0.0070208758,0,0,,,,,, 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