Skip to content

G
GEVP automated analysis
Commit e56a3bed authored by Alessandro 's avatar Alessandro
Browse files
Options

Analysis updated with new HAWK ensembles. New functional forms, general updates

parent 9fdef14c
Expand all Hide whitespace changes
Inline Side-by-side
Showing with 1276 additions and 207 deletions
plat/plat_tm_mps.txt
View file @ e56a3bed
......@@ -32,6 +32,14 @@ ll 65 80
lh 67 80
hh 67 85
t0 20 80
#D450
ll 79 100
ls 85 105
lh 78 88
ss 85 105
sh 85 100
hh 90 120
t0 25 100
#N300
ll 78 105
lh 92 108
......@@ -90,6 +98,14 @@ ss 123 140
sh 130 145
hh 133 175
t0 25 170
#E250
ll 120 148
ls 123 140
lh 125 145
ss 123 140
sh 130 145
hh 133 175
t0 25 170
#J500
ll 120 148
ls 123 140
......
src/gevp analysis/const.jl
View file @ e56a3bed
......@@ -6,31 +6,35 @@ ens_db = Dict(
"H105r002" => [32, 3.4, false, 0.12151, 2, nothing],
"H101" => [32, 3.4, true, 0.17979, 2, nothing],
"H400" => [32, 3.46, true, 0.16345, 1, nothing],
"D450" => [64, 3.46, false, 0.0, 1, nothing],
"N200" => [48, 3.55, false, 0.09222, 1, nothing],
"N202" => [48, 3.55, true, 0.13407, 2, nothing],
"N203" => [48, 3.55, false, 0.11224, 1, nothing],
"D200" => [64, 3.55, false, 0.06611, 2, 100],
"N300" => [48, 3.70, true, 0.10630, 1, nothing],
"N300r002" => [48, 3.70, true, 0.10630, 1, nothing],
"N302" => [48, 3.70, false, 0.10630, 1, nothing],
"J303" => [64, 3.70, false, 0.06514, 2, nothing],
"E300" => [96, 3.70, false, 0.00000, 1, nothing],
"E250" => [96, 3.55, false, 0.00000, 1, nothing],
"J500" => [64, 3.85, true, 0.00000, 2, nothing],
"J501" => [64, 3.85, false, 0.00000, 2, nothing],
"J501" => [64, 3.85, false, 0.00000, 1, nothing],
)
trunc_db = Dict(
"H102r002" => nothing,
#"H102r001" => nothing,
"H105r002" => nothing,
"H101" => [1001,1009],
"H101" => nothing,
"H400" => nothing,
"D450" => nothing,
"N200" => nothing,
"N202" => nothing,
"N203" => nothing,
"D200" => 645, #1000
"N300" => 1279,
"D200" => nothing, #1000
"N300r002" => 1521,
"N302" => nothing,
"J303" => 721,
"E300" => nothing,
"J303" => nothing,
"E300" => 1136,
"E250" => 751,
"J500" => [745,649], #[751, 655],
"J501" => nothing
......@@ -46,17 +50,18 @@ ens_nms = Dict(
"N202" => 899,
"N203" => 1543,
"D200" => 2001,
"N300" => 1540,
"N300r002" => 1540,
"N302" => 2201,
"J303" => 1073,
"E300" => 1139
"E300" => 1139,
"J500" => 1875
)
#PDG
const hc = 197.3269804 #MeV fm
const M_values = [1869.65, 2010.26, 1968.34, 2112.2, 2980.3, 3096.916] #MD, MD*, MDs, MDs*, \eta_c, J/\psi (MeV)
const M_error = [0.05, 0.05, 0.07, 0.4, 1.2, 0.011]
const M_values = [1869.58, 2010.26, 1968.34, 2112.2, 2983.9, 3096.916] #MD, MD*, MDs, MDs*, \eta_c, J/\psi (MeV)
const M_error = [0.09, 0.05, 0.07, 0.4, 0.9, 0.011]
#1802.05243
const b_values = [3.40, 3.46, 3.55, 3.70, 3.85]
const b_values2 = [3.40, 3.46, 3.55, 3.70]
......@@ -67,8 +72,8 @@ const ZM_tm_error = [42, 33, 42, 48, 55] .* 1e-4
#1608.08900
const t0_data = [2.86, 3.659, 5.164, 8.595, 14.040]
const t0_error = [11, 16, 18, 29, 49] .* 1e-3
const t0_ph_value = #=[0.415] =# [0.4137]
const t0_ph_error = ones(1,1) .* #=4e-3 =# 3.6e-3
const t0_ph_value = #=[0.415] =# [0.1445*sqrt(8)]
const t0_ph_error = ones(1,1) .* #=4e-3 =# 0.00058*sqrt(8)
# 1808.09236
const ZA_data = [0.75642, 0.76169, 0.76979, 0.78378, 0.79667]
const ZA_err = [72, 93, 43, 47, 47] .*1e-5
......
src/gevp analysis/func_comb.jl
View file @ e56a3bed
This diff is collapsed.
src/gevp analysis/gevp_fit.jl
View file @ e56a3bed
This diff is collapsed.
src/gevp analysis/gevp_plotter.jl
View file @ e56a3bed
This diff is collapsed.
src/gevp analysis/gevp_tm_BMA.jl
View file @ e56a3bed
......@@ -50,14 +50,14 @@ const path_bdio_tm_shifted = "/Users/alessandroconigli/Lattice/data/bdio_charm/t
const path_plot = "/Users/alessandroconigli/MyDrive/phd/analysis/charm_gevp_2022/CharmPaper/plots" # path were to save plots
# ensembles to analyse
const ens_list = [ "E300"]
const ens_list = [ "N203"]
# reweighting and mass shift flags
const rwf = true
println("Warning! mass_shift set to false ")
# println("Warning! mass_shift set to false ")
const mass_shift = false
const tau = 3 # gevp shift parameter
const T0 = 2
const TSM = true # set whether TSM is used or not
const TSM = false # set whether TSM is used or not
#@warning("\nTSM FLAG MODE: $(TSM)\n")
......@@ -89,9 +89,12 @@ wpmm["N200"] = [-1.0, 2.0, -1.0, -1.0] #14.0*5.164]
wpmm["N203"] = [-1.0, 2.0, -1.0, -1.0] # 14.0*5.164]
#wpmm["D200"] = [-1.0, 4.0, -1.0, 14.0*5.164]
wpmm["D200"] = [-1.0, 2.0, -1.0, -1.0]
wpmm["N300"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
wpmm["N300r002"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
wpmm["N302"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
wpmm["J303"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
wpmm["J500"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
wpmm["J501"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
wpmm["E250"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
## TESTING TSM WITH MULTIPLE replicas
data_sl = read_data_sloppy(path_data_tm, "E300", "G5", "G5", legacy=false)
......@@ -121,12 +124,13 @@ obs_tm = Vector(undef, length(ensinfo))
@time begin
@showprogress for (k,ens) in enumerate(ensinfo)
println("\n Ensemble: ", ens.id)
# pp corr
corr_pp[k], pp_tmW[k], _ = get_corr(path_data_tm, ens, "G5", "G5", rw=rwf, path_rw=path_rw, tsm=TSM)
# t0
t0_ens, yw_store[k], w_store[k] = get_t0(path_data_w, ens, rw=rwf, path_rw=path_rw, pl=true)
obs_tm[k] = OrderedDict()
obs_tm[k]["t0"] = t0_ens
# correlators
corr_pp[k], pp_tmW[k], _ = get_corr(path_data_tm, ens, "G5", "G5", rw=rwf, path_rw=path_rw, tsm=TSM)
a1a1, _ = get_corr(path_data_tm, ens, "G1G5", "G1G5", rw=rwf, path_rw=path_rw, tsm=TSM)
a2a2, _ = get_corr(path_data_tm, ens, "G2G5", "G2G5", rw=rwf, path_rw=path_rw, tsm=TSM)
......@@ -144,6 +148,36 @@ obs_tm = Vector(undef, length(ensinfo))
end
end
## plots for paper of D, D_s and eta_c correlators
yyd = corr_pp[1][4].obs; uwerr.(yyd)
yyds = corr_pp[1][5].obs; uwerr.(yyds)
yyeta = corr_pp[1][6].obs; uwerr.(yyeta)
xx = collect(1:length(yyd))
errorbar(xx, value.(yyd), err.(yyd).*50, fmt="s", color="forestgreen", capsize=2, mfc="none", label=L"$D$")
errorbar(xx, value.(yyds), err.(yyds).*50, fmt="s", color="tomato", capsize=2, mfc="none", label=L"$D_s$")
errorbar(xx, value.(yyeta), err.(yyeta).*50, fmt="s", color="royalblue", capsize=2, mfc="none", label=L"$\eta_c$")
yscale("log")
legend()
xlim(65,128)
xlabel(L"$t/a$")
ylabel(L"$f_{\mathrm{PP}(x_0, y_0)}$")
# ylim(1e-22, 1e-4)
tight_layout()
display(gcf())
savefig("/Users/alessandroconigli/Desktop/corr_comparison.pdf")
close("all")
##
# test masses D200
plat = [[85,105], [85,105], [85,105], [85,90], [88,98], [90,94], [85,90], [88,94], [90,94] ]
# test masses J501
plat = [[145,165], [120,155], [120,155], [125,155], [145,155], [145,165], [125,150], [145,165], [145,165] ]
# test masses E250
plat = [[115,145], [115,160], [115,160], [118,125], [125,142], [130,160], [118,125], [125,142], [130,160] ]
# test masses J500
plat = [[130,160], [140,160], [138,150], [140,160], [138,150]]
mtest = meff(corr_pp[1][5], [138,150], pl=true, wpm=wpmm)
##
#=============== ANALYSIS ===============#
Mtotps = Vector{Vector{uwreal}}(undef, length(ensinfo)) # required for decay constants
......@@ -152,9 +186,12 @@ Mtotvec = Vector{Vector{uwreal}}(undef, length(ensinfo)) # required for decay co
@time begin
@showprogress for (k,ens) in enumerate(ensinfo)
# gevp matrix for ps and vec masses
mat_mass = comp_mat_multigamma(ens, corr_pp[k], corr_pa[k], corr_aa[k])
m_tm_ps, m_tm_vec = gevp_mass_BMA(mat_mass, tt0=T0, pl=true, wpm=wpmm, path_plt=path_plot)
# mat_mass = comp_mat_multigamma(ens, corr_pp[k], corr_pa[k], corr_aa[k])
# m_tm_ps, m_tm_vec = gevp_mass_BMA(mat_mass, tt0=T0, pl=true, wpm=wpmm, path_plt=path_plot)
m_tm_ps = meff.(corr_pp[k], plat, pl=true, wpm=wpmm)
m_tm_vec = meff.(corr_aa[k], plat, pl=true, wpm=wpmm)
# push!(m_tm_vec, uwreal([1.029, 0.001],"mhvec_D200"))
Mtotps[k] = m_tm_ps
Mtotvec[k] = m_tm_vec
......@@ -195,6 +232,18 @@ Mtotvec = Vector{Vector{uwreal}}(undef, length(ensinfo)) # required for decay co
obs_tm[k]["fpik"] = 0.0
end
end
##
# test D200
plat = [[85,105], [85,105], [85,105], [85,90], [88,98], [90,94], [85,90], [88,94], [90,94] ]
# test J501
plat = [[120,155], [120,155], [120,155], [125,155], [130,155], [132,145], [125,150], [130,145], [132,145] ]
# test E250
plat = [[115,150], [120,155], [120,155], [115,128], [130,155], [135,160], [115,128], [130,145], [135,160] ]
# test masses J500
plat = [[130,160], [140,160], [138,150], [140,160], [138,150] ]
dec_const_pcvc(corr_pp[1][5], plat[5], Mtotps[1][5], pl=true)
##
# Decay constants
close("all")
......@@ -206,11 +255,14 @@ for (k,ens) in enumerate(ensinfo)
# dec_ps = gevp_dec_BMA(mat_dec_ps, Mtotps[k], t0=T0, wpm=wpmm, pl=true, n=1, pseudo=true, wilson=false )
# dec_ps_test = get_f_tm(corr_pp[k], Mtotps[k], ens, path_plat_tm_dps, pl=true, wpm=wpmm )
path_plt_ps = joinpath(path_plot, "plateaus", ens.id, "fps")
dec_tm_ps = get_f_tm_BMA(corr_pp[k], Mtotps[k], ens, pl=true, wpm=wpmm, path_plt=path_plot, ps="fps")
path_plt_vec = joinpath(path_plot, "plateaus", ens.id, "fps")
dec_tm_vec = get_f_tm_BMA(corr_aa[k], Mtotvec[k], ens, pl=true, wpm=wpmm, path_plt=path_plot, ps="fvec")
# commented for testing D200
# path_plt_ps = joinpath(path_plot, "plateaus", ens.id, "fps")
# dec_tm_ps = get_f_tm_BMA(corr_pp[k], Mtotps[k], ens, pl=true, wpm=wpmm, path_plt=path_plot, ps="fps")
#
# path_plt_vec = joinpath(path_plot, "plateaus", ens.id, "fps")
# dec_tm_vec = get_f_tm_BMA(corr_aa[k], Mtotvec[k], ens, pl=true, wpm=wpmm, path_plt=path_plot, ps="fvec")
dec_tm_ps = dec_const_pcvc.(corr_pp[k], plat, Mtotps[k], pl=true, wpm=wpmm)
dec_tm_vec = dec_const.(corr_aa[k], plat, Mtotvec[k], pl=true, wpm=wpmm)
mu_list = gen_mulist[k]
mul, mus, muh = get_mu(mu_list, ens.deg)
......@@ -248,7 +300,6 @@ if mass_shift
# read dm computed by AS
rep = filter(x->occursin(ens.id, x), readdir(path_bdio_md,join=true))[1]
ens.deg ? Nmolt =3. : Nmolt = 1. # required for symmetric point ensembles if shifting s only
println(Nmolt)
deltam[k] = read_BDIO(rep, "ll_obs", "dm")[1] * Nmolt
# these two lines for dm computed locally by me
# fname = joinpath(path_bdio_md, string(ens.id,".bdio"))
......
src/gevp analysis/plot_paper.jl 0 → 100644
View file @ e56a3bed
using Base: String
using Base: @kwdef
using LaTeXStrings: length
using OrderedCollections
using juobs, BDIO, DelimitedFiles, ADerrors, LaTeXStrings, PyPlot
using ProgressMeter
#============= SET UP VARIABLES ===========#
rcParams = PyPlot.PyDict(PyPlot.matplotlib."rcParams")
rcParams["text.usetex"] = true
rcParams["mathtext.fontset"] = "cm"
rcParams["font.size"] =10
rcParams["axes.labelsize"] =22
rcParams["axes.titlesize"] = 18
plt.rc("text", usetex=true) # set to true once you install latex
#============ PATHS & INFO =================#
# path to data
const path_data_w = "/Users/alessandroconigli/Lattice/data/aux_obs_data/wilson" # required for t0 at finite a
const path_data_tm = "/Users/alessandroconigli/Lattice/data/charm_full_Dirac" # charm correlators
# path to plateau
const path_plat_w = "/Users/alessandroconigli/Lattice/data/aux_obs_data/plat_wilson.txt"
const path_plat_tm_mps = "/Users/alessandroconigli/Lattice/gevp-automated-analysis/plat/plat_tm_mps.txt"
const path_plat_tm_mvec = "/Users/alessandroconigli/Lattice/gevp-automated-analysis/plat/plat_tm_mvec.txt"
const path_plat_tm_dps = "/Users/alessandroconigli/Lattice/gevp-automated-analysis/plat/plat_tm_dps.txt"
const path_plat_tm_dvec = "/Users/alessandroconigli/Lattice/gevp-automated-analysis/plat/plat_tm_dvec.txt"
# path to aux obs
const path_rw = "/Users/alessandroconigli/Lattice/data/aux_obs_data/rwf" # reweighting factors
const path_md = "/Users/alessandroconigli/Lattice/data/aux_obs_data/md/" # pbp dat file for mass shift
# path to bdio
# const path_bdio_md = "/Users/alessandroconigli/Lattice/data/bdio_charm/md/LAT22/" # path to delta m computed by me
const path_bdio_md = "/Users/alessandroconigli/Lattice/data/bdio_charm/AS_ligth_obs/" # path to delta m computed by AS
const path_bdio_tm = "/Users/alessandroconigli/Lattice/data/bdio_charm/tm" # path where to store results
const path_bdio_tm_shifted = "/Users/alessandroconigli/Lattice/data/bdio_charm/tm_shifted" # path were to store shifted results
const path_plot = "/Users/alessandroconigli/MyDrive/phd/analysis/charm_gevp_2022/CharmPaper/plots" # path were to save plots
# ensembles to analyse
const ens_list = [ "J303"]
# reweighting and mass shift flags
const rwf = true
# println("Warning! mass_shift set to false ")
const mass_shift = false
const tau = 3 # gevp shift parameter
const T0 = 2
const TSM = false # set whether TSM is used or not
#@warning("\nTSM FLAG MODE: $(TSM)\n")
#=============== INCLUDES ===============#
include("types.jl")
include("tools.jl")
include("const.jl")
include("read_bdio.jl")
#=============== ENSEMBLE INFO FROM DATABASE ==================#
ensinfo = Vector{EnsInfo}(undef, length(ens_list))
for i in 1:length(ens_list)
ens = ens_list[i]
try
ensinfo[i]= EnsInfo(ens, ens_db[ens], trunc_db[ens])
catch
error("The ensemble id ", ens, " was not found in the const.jl ens_db database.
Please check the ensemble id or update the database")
end
end
wpmm = Dict{String, Vector{Float64}}()
wpmm["H101"] = [-1.0, 2.0, -1.0, -1.0] #14.0*2.86]
wpmm["H102r002"] = [-1.0, 2.0, -1.0, -1.0] #14.0*2.86]
wpmm["H105r002"] = [-1.0, 2.0, -1.0, -1.0]# 14.0*2.86]
wpmm["H400"] = [-1.0, 2.0, -1.0, -1.0] #14.0*3.659]
wpmm["N202"] = [-1.0, 2.0, -1.0, -1.0] #14.0*5.164]
wpmm["N200"] = [-1.0, 2.0, -1.0, -1.0] #14.0*5.164]
wpmm["N203"] = [-1.0, 2.0, -1.0, -1.0] # 14.0*5.164]
#wpmm["D200"] = [-1.0, 4.0, -1.0, 14.0*5.164]
wpmm["D200"] = [-1.0, 2.0, -1.0, -1.0]
wpmm["N300r002"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
wpmm["N302"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
wpmm["J303"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
wpmm["J500"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
wpmm["J501"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
wpmm["E250"] = [-1.0, 2.0, -1.0, -1.0 ] #14.0*8.595]
##
#=============== LOAD DATA AND STORE t0 ===============#
corr_pp = Vector{Vector{juobs.Corr}}(undef, length(ens_list))
corr_pa = Vector{Vector{juobs.Corr}}(undef, length(ens_list))
corr_aa = Vector{Vector{juobs.Corr}}(undef, length(ens_list))
yw_store = Vector{Matrix{uwreal}}(undef, length(ens_list)) # store YW info from t0
w_store = Vector{uwreal}(undef, length(ens_list)) # store W info from t0
pp_tmW = Vector{Vector{Vector{uwreal}}}(undef, length(ens_list)) # store W info from corr_pp
gen_mulist = Vector{Vector{Vector{Float64}}}(undef, length(ens_list)) # store mu values
# obs storage
obs_tm = Vector(undef, length(ensinfo))
@time begin
@showprogress for (k,ens) in enumerate(ensinfo)
println("\n Ensemble: ", ens.id)
corr_pp[k], pp_tmW[k], _ = get_corr(path_data_tm, ens, "G5", "G5", rw=rwf, path_rw=path_rw, tsm=TSM)
gen_mulist[k] = getfield.(corr_pp[k], :mu)
end
end
##
mlh, data_lh = juobs.meff(corr_pp[1][4], [127,150], data=true)
msh, data_sh = juobs.meff(corr_pp[1][5], [135,175], data=true)
mhh, data_hh = juobs.meff(corr_pp[1][6], [135,175], data=true)
data_lh ./= mlh ; uwerr.(data_lh)
data_sh ./= msh ; uwerr.(data_sh)
data_hh ./= mhh ; uwerr.(data_hh)
##
fig= figure("pyplot_subplot_column",figsize=(12,4))
subplots_adjust(wspace=0.0)
xx = collect(1:length(data_lh))
subplot(131)
errorbar(xx, value.(data_lh), err.(data_lh), fmt="*", capsize=2, color="navy", mfc="none", label=L"$D$")
fill_between(collect(127:150) , 1 - err(mlh), 1 + err(mlh), color="red", alpha=0.5)
xlabel(L"$x_0/a$")
ylabel(L"$m^{\mathrm{eff}}(x_0)/m_{\mathrm{PS}}$")
xlim(96,190)
ylim(0.98,1.02)
legend()
aa = subplot(132)
setp(aa.get_yticklabels(), visible=false )
errorbar(xx, value.(data_sh), err.(data_sh), fmt="*", capsize=2, color="orange", mfc="none", label=L"$D_s$")
fill_between(collect(135:175) , 1 - err(msh), 1 + err(msh), color="red", alpha=0.5)
xlabel(L"$x_0/a$")
xlim(96,190)
ylim(0.98,1.02)
legend()
aa=subplot(133)
setp(aa.get_yticklabels(), visible=false )
errorbar(xx, value.(data_hh), err.(data_hh), fmt="*", capsize=2, color="darkgreen", mfc="none", label=L"$\eta_c$")
fill_between(collect(135:175) , 1 - err(mhh), 1 + err(mhh), color="red", alpha=0.5)
xlabel(L"$x_0/a$")
xlim(96,190)
ylim(0.98,1.02)
legend()
ax = fig.add_axes([0.78,0.3,0.15,0.2])
errorbar(xx, value.(data_hh), err.(data_hh), fmt="*", capsize=2, color="darkgreen", mfc="none")
fill_between(collect(135:175) , 1 - err(mhh), 1 + err(mhh), color="red", alpha=0.5)
xlim(120,180)
ylim(0.999,1.001)
tight_layout()
display(gcf())
savefig("/Users/alessandroconigli/Desktop/meff_comparison.pdf")
close("all")
\ No newline at end of file
src/gevp analysis/test_read_multiple_TSM_chunks.jl 0 → 100644
View file @ e56a3bed
using Base: String
using Base: @kwdef
using LaTeXStrings: length
using OrderedCollections
using juobs, BDIO, DelimitedFiles, ADerrors, LaTeXStrings, PyPlot
using ProgressMeter
#============= SET UP VARIABLES ===========#
rcParams = PyPlot.PyDict(PyPlot.matplotlib."rcParams")
rcParams["text.usetex"] = true
rcParams["mathtext.fontset"] = "cm"
rcParams["font.size"] =10
rcParams["axes.labelsize"] =22
rcParams["axes.titlesize"] = 18
plt.rc("text", usetex=true) # set to true once you install latex
#============ PATHS & INFO =================#
# path to data
const path_data_w = "/Users/alessandroconigli/Lattice/data/aux_obs_data/wilson" # required for t0 at finite a
const path_data_tm = "/Users/alessandroconigli/Lattice/data/charm_full_Dirac" # charm correlators
# path to aux obs
const path_rw = "/Users/alessandroconigli/Lattice/data/aux_obs_data/rwf" # reweighting factors
const path_md = "/Users/alessandroconigli/Lattice/data/aux_obs_data/md/" # pbp dat file for mass shift
const ens_list = [ "E250"]
# reweighting and mass shift flags
const rwf = false
#=============== INCLUDES ===============#
include("types.jl")
include("tools.jl")
include("const.jl")
include("read_bdio.jl")
ensinfo = Vector{EnsInfo}(undef, length(ens_list))
for i in 1:length(ens_list)
ens = ens_list[i]
try
ensinfo[i]= EnsInfo(ens, ens_db[ens], trunc_db[ens])
catch
error("The ensemble id ", ens, " was not found in the const.jl ens_db database.
Please check the ensemble id or update the database")
end
end
##
# testing for E250 (in chunk2 and chunk2bis there's an overlap)
db = [ "sloppy_chunk0","sloppy_chunk1", "sloppy_chunk2", "sloppy_chunk3", "sloppy_chunk5", "sloppy_chunk5"]
pp = joinpath(path_data_tm, "E250")
aux = filter(x-> occursin("sloppy_chunk", x), readdir(pp,join=true))
data_1 = juobs.read_mesons(aux[1], "G5","G5", legacy=false) # 1 -> 196
data_2 = juobs.read_mesons(aux[2], "G5","G5", legacy=false) # 201 -> 296 # trunc at 20 elem
data_2b = juobs.read_mesons(aux[3], "G5","G5", legacy=false) # 301 -> 396
data_3 = juobs.read_mesons(aux[4], "G5","G5", legacy=false) # 401 -> 596
data_4 = juobs.read_mesons(aux[5], "G5","G5", legacy=false) # 601 -> 796
data_5 = juobs.read_mesons(aux[6], "G5","G5", legacy=false) # 801 -> 1006
juobs.concat_data!(data_1, data_2)
juobs.concat_data!(data_1, data_2b)
juobs.concat_data!(data_1, data_3)
juobs.concat_data!(data_1, data_4)
juobs.concat_data!(data_1, data_5)
##
data_sl = read_data_sloppy_multichunks(path_data_tm, "E250", "G5", "G5", legacy=false)
data_corr = read_data_correction(path_data_tm, "E250", "G5", "G5", legacy=false)
corr_pp, _ = get_corr(path_data_tm, ensinfo[1], "G5", "G5", rw=false, path_rw=path_rw, tsm=true)
mm = meff.(corr_pp, fill([130, 150],9), pl=true )
function get_corr_TSM_multichunks(path::String, ens::EnsInfo, g1::String="G5", g2::String="G5"; rw::Bool=false, legacy::Bool=false, path_rw::String="", tsm::Bool=false, ex::Bool=false)
if path_rw == ""
p_rw = path
else
p_rw = path_rw
end
aux1 = read_data_sloppy_multichunks(path, ens.id, g1, g2, legacy=legacy)
aux2 = read_data_correction(path, ens.id, g1, g2, legacy=legacy)
try # single replica
# sloppy
vcfg = getfield(aux1[1], :vcfg)
delta = vcfg[1][2] - vcfg[1][1]
cut_trunc = Int64.((ens.trunc .-1)./delta) .+ 1
truncate_data!(aux1, cut_trunc )
# correction
vcfg = getfield(aux2[1], :vcfg)
delta = vcfg[1][2] - vcfg[1][1]
cut_trunc = Int64.((ens.trunc .-1)./delta) .+ 1
truncate_data!(aux2, cut_trunc)
catch # multiple replica
# sloppy
vcfg = getfield.(aux1[1], :vcfg)
delta = vcfg[1][2] - vcfg[1][1]
cut_trunc = Int64.((ens.trunc .-1)./delta) .+ 1
truncate_data!(aux1, cut_trunc )
# correction
vcfg = getfield.(aux2[1], :vcfg)
delta = vcfg[1][2] - vcfg[1][1]
cut_trunc = Int64.((ens.trunc .-1)./delta) .+ 1
truncate_data!(aux2, cut_trunc)
end
if !rw
obs = corr_obs_TSM.(aux1, aux2, L=ens.L, info=true)#, idm_corr=collect(1:ens.idm_corr) )
return (getindex.(obs, 1), getindex.(obs, 2))
else
obs = corr_obs_TSM.(aux1, aux2, L=ens.L, rw=read_rw(p_rw, ens.id), info=true) #, idm_corr=collect(1:ens.idm_corr))
return (getindex.(obs, 1), getindex.(obs, 2), getindex.(obs, 3))
end
end
## testing apply_rw with gaps
data_sl = read_data_sloppy_multichunks(path_data_tm, "E300", "G5", "G5", legacy=false);
data_corr = read_data_correction(path_data_tm, "E300", "G5", "G5", legacy=false);
L = ensinfo[1].L;
idd = [ensinfo[1].id];
real_data = true;
vcfg_sl = getfield(data_sl[1], :vcfg);
replica_sl = Int64(maximum(vcfg_sl))
vcfg_corr = getfield(data_corr[1], :vcfg);
replica_corr = Int64(maximum(vcfg_corr));
#truncate data
nms = sum(replica_sl); # assuming vcfg_sl >= vcfg_corr
delta_vcfg = vcfg_sl[1][2] - vcfg_sl[1][1];
idm_sl = collect(1:delta_vcfg:replica_sl[1])
for ii in eachindex(data_sl[1])[2:end]
delta_vcfg = vcfg_sl[ii][2] - vcfg_sl[ii][1]
aux = collect(1:delta_vcfg:replica_sl[ii]) .+ replica_sl[ii-1]
append!(idm_sl, aux)
end
delta_vcfg = vcfg_corr[1][2] - vcfg_corr[1][1]
idm_corr = collect(1:delta_vcfg:replica_corr[1])
for ii in eachindex(data_corr[1])[2:end]
delta_vcfg = vcfg_corr[ii][2] - vcfg_corr[ii][1]
aux = collect(1:delta_vcfg:replica_corr[ii]) .+ replica_corr[ii-1]
append!(idm_corr, aux)
end
data1 = real_data ? getfield.(data_sl[1], :re_data) ./ L^3 : getfield.(data_sl, :im_data) ./ L^3
data2 = real_data ? getfield.(data_corr[1], :re_data) ./ L^3 : getfield.(data_corr, :im_data) ./ L^3
rw = read_rw(path_rw, ensinfo[1].id)
data1_r, W = juobs.apply_rw(data1, rw, vcfg_sl)
data2_r, W = juobs.apply_rw(data2, rw, vcfg_corr)
tmp1 = vcat(data1_r...)
tmp2 = vcat(data2_r...)
tmpW = vcat(W...)
nt = size(tmp1, 2)
ow1 = [uwreal(tmp1[:, x0], idd[1], replica_sl, idm_sl, nms ) for x0 = 1:nt]
ow2 = [uwreal(tmp2[:, x0], idd[1], replica_sl, idm_corr, nms) for x0 = 1:nt]
W_obs = uwreal(tmpW, idd[1], replica_sl, idm_sl, nms)
obs1 = [ow1[x0] / W_obs for x0 = 1:nt]
obs2 = [ow2[x0] / W_obs for x0 = 1:nt]
pp = juobs.Corr(obs1 + obs2, data_sl[1])
\ No newline at end of file
src/gevp analysis/tools.jl
View file @ e56a3bed
This diff is collapsed.
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment