Having built an initial dataset of haul-specific mean bluefish prey weight per stomach for piscivores, now we’ll try to get a forage biomass index using VAST.
The approach here is to use exactly what Ng et al. (2021) for herring, but combining all bluefish prey (defined here) as sampled by all piscivore predators at each station.
In Ng et al. (2021), seasons were modeled separately, so we will start that way as well. They used 100 knots, estimated by k-means clustering of the data, to define the spatial dimensions of each seasonal model. They used a a Poisson-link delta model to estimate expected prey mass per predator stomach.
Read in data, separate spring and fall, and rename columns for VAST:
bluepyagg_stn <- readRDS(here("fhdat/bluepyagg_stn.rds"))
bluepyagg_stn_fall <- bluepyagg_stn %>%
ungroup() %>%
filter(season_ng == "FALL") %>%
mutate(Vessel = "NEFSC",
AreaSwept_km2 = 0.0384) %>%
select(Catch_g = meanbluepywt,
Year = year,
Vessel,
AreaSwept_km2,
Lat = declat,
Lon = declon) %>%
as.data.frame()
bluepyagg_stn_spring <- bluepyagg_stn %>%
filter(season_ng == "SPRING")%>%
mutate(Vessel = "NEFSC",
AreaSwept_km2 = 0.0384) %>%
select(Catch_g = meanbluepywt,
Year = year,
Vessel,
AreaSwept_km2,
Lat = declat,
Lon = declon)%>%
as.data.frame()Try the simplest possible index standardization model, fall (run from script VASTunivariate_bluefishprey.R, not in rmd):
# VAST attempt 1 univariate model as a script
# modified from https://github.com/James-Thorson-NOAA/VAST/wiki/Index-standardization
# and https://github.com/NOAA-EDAB/neusvast/blob/master/analysis/models/pisc_pesc.R
# may need to downgrade TMB to VAST Matrix package version?
# see https://github.com/James-Thorson-NOAA/VAST/issues/289
# Load packages
library(here)
library(dplyr)
library(VAST)
#Read in data, separate spring and fall, and rename columns for VAST:
bluepyagg_stn <- readRDS(here("fhdat/bluepyagg_stn.rds"))
bluepyagg_stn_fall <- bluepyagg_stn %>%
ungroup() %>%
filter(season_ng == "FALL") %>%
mutate(Vessel = "NEFSC",
AreaSwept_km2 = 0.0384) %>%
select(Catch_g = meanbluepywt,
Year = year,
Vessel,
AreaSwept_km2,
Lat = declat,
Lon = declon) %>%
as.data.frame()
bluepyagg_stn_spring <- bluepyagg_stn %>%
filter(season_ng == "SPRING")%>%
mutate(Vessel = "NEFSC",
AreaSwept_km2 = 0.0384) %>%
select(Catch_g = meanbluepywt,
Year = year,
Vessel,
AreaSwept_km2,
Lat = declat,
Lon = declon)%>%
as.data.frame()
# select dataset and set directory for output
season <- c("fall")
working_dir <- here::here(sprintf("pyindex/allagg_%s/", season))
if(!dir.exists(working_dir)) {
dir.create(working_dir)
}
# Make settings (turning off bias.correct to save time for example)
# NEFSC strata limits https://github.com/James-Thorson-NOAA/VAST/issues/302
settings = make_settings( n_x = 1000,
Region = "northwest_atlantic",
strata.limits = list('All_areas' = 1:1e5),
purpose = "index2",
bias.correct = FALSE,
use_anisotropy = FALSE,
#fine_scale = FALSE,
FieldConfig = c(Omega1 = "IID",
Epsilon1 = "IID",
Omega2 = "IID",
Epsilon2 = "IID")
)
#Aniso=FALSE, #correct ln_H_input at bound
#FieldConfig["Epsilon1"]=0, #correct L_epsilon1_z approaching 0
#FieldConfig["Epsilon2"]=0 #correct L_epsilon2_z approaching 0
#increase knots to address bounds for logkappa?
# https://github.com/James-Thorson-NOAA/VAST/issues/300
# or try finescale=FALSE
# then Omegas hit bounds, had to turn then off too
# Run model fall
fit = fit_model( settings = settings,
Lat_i = bluepyagg_stn_fall[,'Lat'],
Lon_i = bluepyagg_stn_fall[,'Lon'],
t_i = bluepyagg_stn_fall[,'Year'],
b_i = as_units(bluepyagg_stn_fall[,'Catch_g'], 'g'),
a_i = as_units(bluepyagg_stn_fall[,'AreaSwept_km2'], 'km^2'),
working_dir = paste0(working_dir, "/"))
# Plot results
plot( fit,
working_dir = paste0(working_dir, "/"))
# Run model spring
season <- c("spring")
working_dir <- here::here(sprintf("pyindex/allagg_%s/", season))
if(!dir.exists(working_dir)) {
dir.create(working_dir)
}
settings = make_settings( n_x = 1000,
Region = "northwest_atlantic",
strata.limits = list('All_areas' = 1:1e5),
purpose = "index2",
bias.correct = FALSE,
use_anisotropy = FALSE,
#fine_scale = FALSE,
FieldConfig = c(Omega1 = "IID",
Epsilon1 = "IID",
Omega2 = "IID",
Epsilon2 = "IID")
)
fit = fit_model( settings = settings,
Lat_i = bluepyagg_stn_spring[,'Lat'],
Lon_i = bluepyagg_stn_spring[,'Lon'],
t_i = bluepyagg_stn_spring[,'Year'],
b_i = as_units(bluepyagg_stn_spring[,'Catch_g'], 'g'),
a_i = as_units(bluepyagg_stn_spring[,'AreaSwept_km2'], 'km^2'),
working_dir = paste0(working_dir, "/"))
# Plot results
plot( fit,
working_dir = paste0(working_dir, "/")) R console output of full script (TMB Warning gone after updating Matrix package to current; no longer advised to update TMB so I’m leaving it alone).
In the initial run, we bomb when parameters hit bounds (clipped output below)
Loading required package: TMB
###########################################################################################
Loading package VAST version 3.8.2
For information and examples, please see http://github.com/james-thorson/VAST/
###########################################################################################
Loading package `FishStatsUtils` version 2.10.2
Loading required package: units
udunits database from /Library/Frameworks/R.framework/Versions/4.0/Resources/library/units/share/udunits/udunits2.xml
[...code in script...]
[...skipping to the end...]
### Making data object
Coercing `b_i` to have units `kg`; I recommend using explicit units, e.g., `as_units(b_i,'kg')`, `as_units(b_i,'count') or `as_units(b_i,unitless)`
Coercing `a_i` to have units `km^2`; I recommend using explicit units, e.g., `as_units(a_i,'km^2')` or `as_units(a_i,unitless)`
FieldConfig_input is:
Component_1 Component_2
Omega -2 -2
Epsilon -2 -2
Beta -2 -2
Epsilon_time -3 -3
OverdispersionConfig_input is:
Eta1 Eta2
-1 -1
Calculating range shift for stratum #1:
### Making TMB object
Note: Using Makevars in /Users/sarah.gaichas/.R/Makevars
make: Nothing to be done for `all'.
Constructing atomic logspace_sub
Constructing atomic D_lgamma
Constructing atomic D_incpl_gamma_shape
Constructing atomic logspace_sub
Constructing atomic D_lgamma
Constructing atomic D_incpl_gamma_shape
List of estimated fixed and random effects:
Coefficient_name Number_of_coefficients Type
1 beta1_ft 21 Fixed
2 beta2_ft 21 Fixed
3 L_epsilon1_z 1 Fixed
4 L_epsilon2_z 1 Fixed
5 L_omega1_z 1 Fixed
6 L_omega2_z 1 Fixed
7 ln_H_input 2 Fixed
8 logkappa1 1 Fixed
9 logkappa2 1 Fixed
10 logSigmaM 1 Fixed
11 Epsiloninput1_sff 6627 Random
12 Epsiloninput2_sff 6627 Random
13 Omegainput1_sf 141 Random
14 Omegainput2_sf 141 Random
### Testing model at initial values
No problem detected: All fixed effects have a nonzero gradient
### Estimating parameters
Note that `getReportCovariance=FALSE` causes an error in `TMB::sdreport` when no ADREPORTed variables are present
0: 3407.4426: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 1.00000 1.00000 -2.71885 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 1.00000 1.00000 -2.71885 1.60944
1: 2988.5057: 0.000768207 0.000577006 0.0287776 0.0279307 0.0169915 0.0530422 0.0708692 0.165965 0.329559 0.127660 -0.0176126 -0.00226152 -0.0169023 -0.0135198 -0.0138058 -0.0199080 -0.0209304 -0.0255203 -0.0196997 -0.0146035 -0.0200739 -0.0270282 -0.0250568 1.16823 1.07727 -2.96382 0.0490667 0.0242394 0.00565546 0.0463988 0.0419860 0.125744 0.308510 0.0446797 1.00017e-05 0.00235638 0.00297993 0.0127676 0.00436147 0.000628474 -6.59582e-05 0.000247511 -0.000110302 0.00151567 -0.000209251 -0.000172832 -0.000106104 1.34391 1.09188 -3.15321 1.05881
[clipped!]
3: 2120.9336: 3.74033 5.00000 1.60078 1.80387 1.48409 2.32322 2.25007 2.26809 2.88404 2.43985 -0.756209 0.108572 -0.945033 -0.618733 -0.621652 -1.94459 -1.98219 -2.16495 -1.07546 -0.681230 -1.37603 -1.63556 -2.15642 -0.435066 2.22260e-05 -5.10642 2.11197 1.28940 0.481313 1.44014 1.65877 1.66037 1.68343 0.829616 -1.75029 -0.221611 0.535181 2.00696 1.01644 0.656818 -2.34267 0.943145 -1.48131 -0.00953320 -5.14626 -3.12832 -5.51046 1.10880 1.44275e-06 -6.35962 0.437069
[after 107 + 3 more iterations]
Check bounds for the following parameters:
Param starting_value Lower MLE Upper final_gradient
2 ln_H_input 0.0000000 -5.000000 5.000000 5.000000 -0.06354718
50 logkappa2 -0.1053605 -6.359621 -6.359621 -2.718847 0.42225521
The following parameters appear to be approaching zero:
Param starting_value Lower MLE Upper final_gradient
25 L_epsilon1_z 1 -Inf 2.222603e-05 Inf 0.0002381819
49 L_epsilon2_z 1 -Inf 1.442753e-06 Inf 0.0001268970
Please turn off factor-model variance parameters `L_` that are approaching zero and re-run the model
Error: Please change model structure to avoid problems with parameter estimates and then re-try; see details in `?check_fit`
In addition: Warning messages:
1: In sparseMatrix(i = index.i, j = index.j, x = Aij, dims = c(mesh$n, :
'giveCsparse' has been deprecated; setting 'repr = "T"' for you
2: In sparseMatrix(i = index.i, j = index.j, x = Aij, dims = c(mesh$n, :
'giveCsparse' has been deprecated; setting 'repr = "T"' for you
3: In sparseMatrix(i = index.i, j = index.j, x = Aij, dims = c(mesh$n, :
'giveCsparse' has been deprecated; setting 'repr = "T"' for you
Another run corrected units and increased the knots to 1000 but the results are basically the same:
Check bounds for the following parameters:
Param starting_value Lower MLE Upper final_gradient
2 ln_H_input 0.0000000 -5.000000 5.000000 5.000000 -0.06422987
50 logkappa2 -0.1053605 -6.397277 -6.397277 -1.112772 0.40923276
The following parameters appear to be approaching zero:
Param starting_value Lower MLE Upper final_gradient
25 L_epsilon1_z 1 -Inf 7.461783e-05 Inf 0.0008391968
49 L_epsilon2_z 1 -Inf -2.667453e-06 Inf -0.0002574581
Please turn off factor-model variance parameters `L_` that are approaching zero and re-run the modelCorrections to the initial run included turning off anistopy and epsilon parameters. This still resulted in logkappa1 hitting the upper bound. I increased knots several times. Some variant had me turn off the omegas as well, which allowed the model to finish and plot output, but the output is very dumb. Plots are in the allagg_fall folder.
In the latest run corresponding to the script above, logkappa1 still hits a bound even with 1000 knots and one of the epsilons is still approaching 0:
### Writing output from `fit_model` in directory: /Users/sarah.gaichas/Documents/0_Data/bluefishdiet/pyindex/allagg_fall//
### Making extrapolation-grid
Using strata 1:100000
For the UTM conversion, automatically detected zone 19.
# Reducing extrapolation-grid from 31311 to 10000 cells for Region(s): northwest_atlantic
Loaded from /Users/sarah.gaichas/Documents/0_Data/bluefishdiet/pyindex/allagg_fall///Kmeans_extrapolation-10000.RData
### Making spatial information
Loaded from /Users/sarah.gaichas/Documents/0_Data/bluefishdiet/pyindex/allagg_fall///Kmeans_knots-1000.RData
### Making data object
Coercing `b_i` to have units `kg`; I recommend using explicit units, e.g., `as_units(b_i,'kg')`, `as_units(b_i,'count') or `as_units(b_i,unitless)`
Coercing `a_i` to have units `km^2`; I recommend using explicit units, e.g., `as_units(a_i,'km^2')` or `as_units(a_i,unitless)`
FieldConfig_input is:
Component_1 Component_2
Omega -2 -2
Epsilon -2 -2
Beta -2 -2
Epsilon_time -3 -3
OverdispersionConfig_input is:
Eta1 Eta2
-1 -1
Calculating range shift for stratum #1:
### Making TMB object
Note: Using Makevars in /Users/sarah.gaichas/.R/Makevars
make: Nothing to be done for `all'.
Constructing atomic logspace_sub
Constructing atomic D_lgamma
Constructing atomic D_incpl_gamma_shape
Constructing atomic logspace_sub
Constructing atomic D_lgamma
Constructing atomic D_incpl_gamma_shape
List of estimated fixed and random effects:
Coefficient_name Number_of_coefficients Type
1 beta1_ft 21 Fixed
2 beta2_ft 21 Fixed
3 L_epsilon1_z 1 Fixed
4 L_epsilon2_z 1 Fixed
5 L_omega1_z 1 Fixed
6 L_omega2_z 1 Fixed
7 logkappa1 1 Fixed
8 logkappa2 1 Fixed
9 logSigmaM 1 Fixed
10 Epsiloninput1_sff 48927 Random
11 Epsiloninput2_sff 48927 Random
12 Omegainput1_sf 1041 Random
13 Omegainput2_sf 1041 Random
### Testing model at initial values
No problem detected: All fixed effects have a nonzero gradient
### Estimating parameters
Note that `getReportCovariance=FALSE` causes an error in `TMB::sdreport` when no ADREPORTed variables are present
0: 3608.5964: 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 1.00000 1.00000 -1.11277 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 0.00000 1.00000 1.00000 -1.11277 1.60944
1: 3606.5027: 0.0298858 0.0282088 0.0178513 0.0526752 0.0706111 0.166521 0.325127 0.126229 -0.0102282 0.00395157 -0.0107211 -0.00742165 -0.00748834 -0.0142419 -0.0152455 -0.0184490 -0.0133931 -0.00854901 -0.0135556 -0.0192200 -0.0180578 1.00969 1.00323 -1.12569 0.0782274 0.0387443 0.00937083 0.0807723 0.0655116 0.215387 0.618908 0.0756272 0.000349619 0.00442799 0.00540485 0.0203244 0.00729302 0.000919746 -3.34898e-05 0.000262139 -3.03321e-05 0.00272187 -0.000194337 -0.000137666 -9.98810e-05 1.05433 1.01669 -1.18378 2.22251
2: 3256.1372: 0.0697148 0.0662425 0.0420960 0.123616 0.166053 0.389382 0.756682 0.296899 -0.0240576 0.00924851 -0.0252903 -0.0176942 -0.0177067 -0.0335466 -0.0358873 -0.0433844 -0.0314915 -0.0201465 -0.0318976 -0.0451417 -0.0424661 1.02248 1.00747 -1.14280 0.139489 0.0694397 0.0168658 0.144047 0.116957 0.377588 1.04445 0.134850 0.000634336 0.00798194 0.00974350 0.0365253 0.0131352 0.00165588 -5.94884e-05 0.000470608 -5.30786e-05 0.00490704 -0.000348568 -0.000246449 -0.000179179 1.08700 1.02646 -1.22635 1.46264
3: 3026.8243: 0.182613 0.172867 0.109314 0.322945 0.431082 0.995872 1.91177 0.764901 -0.0611649 0.0236295 -0.0642425 -0.0443741 -0.0448935 -0.0856227 -0.0915218 -0.110202 -0.0799921 -0.0512227 -0.0812788 -0.114213 -0.107936 1.05971 1.01931 -1.19280 0.482576 0.251852 0.0634209 0.495284 0.409470 1.10673 2.09063 0.463504 0.00239131 0.0301663 0.0368465 0.135828 0.0495939 0.00632377 -0.000232375 0.00180743 -0.000210544 0.0186229 -0.00133994 -0.000949950 -0.000688621 1.24907 1.05278 -1.42951 1.76460
4: 2728.0616: 0.456195 0.434492 0.274612 0.811411 1.06869 2.26903 3.86728 1.84016 -0.145213 0.0563444 -0.153302 -0.105097 -0.107108 -0.206181 -0.219674 -0.261547 -0.189578 -0.122128 -0.194436 -0.267785 -0.256555 1.13553 1.04004 -1.29544 1.32968 0.740129 0.197485 1.35594 1.14469 2.56297 3.61413 1.26559 0.00762348 0.0949847 0.116030 0.414603 0.155470 0.0201203 -0.000737811 0.00575687 -0.000661807 0.0589642 -0.00426545 -0.00302142 -0.00219225 1.60097 1.10153 -1.87639 0.318046
5: 2300.8484: 0.811366 0.781367 0.493187 1.44559 1.88826 3.44164 3.32804 3.10370 -0.248684 0.100631 -0.262496 -0.175821 -0.181611 -0.357209 -0.380437 -0.450208 -0.325458 -0.208765 -0.335723 -0.458053 -0.442149 1.20525 1.08406 -1.41679 2.39226 1.60072 0.528065 2.33254 2.11867 3.17726 3.50689 2.07330 0.0136603 0.252801 0.317025 1.04689 0.431138 0.0649124 -0.00433541 0.0223891 -0.00558607 0.166670 -0.0170364 -0.0131303 -0.00869316 2.95140 1.22172 -4.13654 0.684452
6: 2228.5886: 0.992416 0.965602 0.616179 1.76281 2.22411 2.13292 2.91114 2.89037 -0.299132 0.124617 -0.318498 -0.213530 -0.219137 -0.436780 -0.464634 -0.547232 -0.393488 -0.251831 -0.408192 -0.553386 -0.537893 1.28507 1.12576 -1.55370 2.73301 1.83828 0.629671 2.63081 2.43757 3.51925 3.85071 2.28729 0.00851116 0.295506 0.378250 1.23924 0.529698 0.0842309 -0.00753439 0.0428279 -0.00993048 0.202983 -0.0258499 -0.0207127 -0.0131428 3.27482 1.34716 -4.80026 0.181707
7: 2185.7719: 0.998600 0.972614 0.621386 1.77244 2.22746 2.14629 2.91357 2.86669 -0.300983 0.125249 -0.320651 -0.215075 -0.220598 -0.439935 -0.467934 -0.550872 -0.395968 -0.253449 -0.410980 -0.556778 -0.541522 1.28517 1.12591 -1.55400 2.73420 1.83854 0.632285 2.62785 2.44022 3.51512 3.84140 2.28527 0.00739911 0.296382 0.379876 1.24345 0.533456 0.0855593 -0.00800645 0.0451171 -0.0105513 0.204391 -0.0272032 -0.0218728 -0.0138250 3.27528 1.36578 -4.82403 0.543239
8: 2171.7516: 1.06251 1.04515 0.674823 1.87361 2.26326 2.23353 2.96261 2.63318 -0.320104 0.131832 -0.343001 -0.231245 -0.235889 -0.472630 -0.502058 -0.588682 -0.421654 -0.270265 -0.439763 -0.591951 -0.579087 1.28841 1.12808 -1.56027 2.74840 1.84463 0.651511 2.61545 2.46183 3.49925 3.79879 2.27099 0.000497563 0.303011 0.391928 1.27368 0.560511 0.0947814 -0.0108372 0.0609156 -0.0142094 0.214924 -0.0351208 -0.0287175 -0.0178124 3.27000 1.45745 -4.93669 0.454072
9: 2167.1560: 1.16683 1.16791 0.768876 2.02567 2.29432 2.33759 2.92242 2.59767 -0.352873 0.142162 -0.381831 -0.259432 -0.262515 -0.530245 -0.562005 -0.654701 -0.465866 -0.299288 -0.489947 -0.652501 -0.644677 1.29146 1.12842 -1.56444 2.75644 1.84017 0.676712 2.58002 2.48194 3.46773 3.73503 2.25262 -0.0118014 0.311253 0.408973 1.31399 0.599267 0.109791 -0.0160662 0.0867267 -0.0209727 0.230163 -0.0504100 -0.0417445 -0.0255221 3.24377 1.53658 -5.01537 0.381454
10: 2158.0470: 1.38157 1.42917 0.978403 2.30692 2.34881 2.32502 3.06471 2.42922 -0.424081 0.163950 -0.467342 -0.320918 -0.320751 -0.659530 -0.696245 -0.801884 -0.562852 -0.362642 -0.601335 -0.785825 -0.790892 1.29894 1.13062 -1.57627 2.77772 1.83559 0.733330 2.50606 2.53118 3.38415 3.57022 2.21746 -0.0386904 0.330306 0.448758 1.40811 0.684602 0.143460 -0.0282066 0.142785 -0.0361287 0.263913 -0.0875245 -0.0726796 -0.0442853 3.20639 1.61702 -5.11272 0.476795
11: 2151.9623: 1.54225 1.66754 1.22576 2.34515 2.31613 2.35713 2.88229 2.46985 -0.504701 0.184542 -0.569527 -0.391866 -0.388121 -0.825608 -0.867657 -0.987331 -0.677155 -0.435331 -0.738772 -0.946563 -0.975195 1.31281 1.13322 -1.59596 2.79868 1.79950 0.790976 2.40628 2.58550 3.39250 3.58383 2.19203 -0.0764204 0.348503 0.495055 1.50984 0.783965 0.188879 -0.0462697 0.218943 -0.0576079 0.303853 -0.145784 -0.119995 -0.0738277 3.08865 1.53877 -4.88217 0.459894
12: 2151.6427: 1.54286 1.66886 1.22833 2.34564 2.31678 2.35686 2.89136 2.47261 -0.505701 0.184671 -0.570863 -0.392744 -0.388961 -0.827992 -0.870107 -0.989943 -0.678633 -0.436236 -0.740654 -0.948709 -0.977797 1.31307 1.13326 -1.59634 2.79943 1.79988 0.792619 2.40453 2.58666 3.38920 3.57729 2.19103 -0.0771458 0.349168 0.496298 1.51268 0.786439 0.189864 -0.0466097 0.220545 -0.0580124 0.304880 -0.146793 -0.120841 -0.0743376 3.08876 1.54109 -4.88692 0.436781
13: 2151.3825: 1.54382 1.67092 1.23238 2.34639 2.31780 2.35651 2.90366 2.47672 -0.507276 0.184877 -0.572970 -0.394125 -0.390283 -0.831761 -0.873979 -0.994070 -0.680964 -0.437661 -0.743627 -0.952097 -0.981908 1.31348 1.13330 -1.59693 2.80059 1.80040 0.795246 2.40161 2.58854 3.38403 3.56701 2.18947 -0.0783404 0.350223 0.498289 1.51724 0.790426 0.191463 -0.0471717 0.223155 -0.0586814 0.306525 -0.148469 -0.122243 -0.0751850 3.08891 1.54522 -4.89493 0.450791
14: 2150.9752: 1.54725 1.67834 1.24542 2.34467 2.31817 2.35203 2.91858 2.48817 -0.512052 0.185611 -0.579373 -0.398345 -0.394316 -0.843140 -0.885668 -1.00654 -0.688043 -0.441997 -0.752624 -0.962363 -0.994323 1.31479 1.13347 -1.59879 2.80349 1.80049 0.801803 2.39347 2.59350 3.37457 3.54838 2.18589 -0.0816736 0.352772 0.503431 1.52879 0.800781 0.195819 -0.0487646 0.230292 -0.0605597 0.310798 -0.153351 -0.126281 -0.0776559 3.08606 1.54835 -4.90089 0.427671
15: 2150.0833: 1.55358 1.69455 1.27655 2.33381 2.31634 2.33754 2.93033 2.51129 -0.523410 0.187328 -0.594793 -0.408429 -0.403953 -0.870926 -0.914186 -1.03692 -0.705055 -0.452341 -0.774434 -0.987181 -1.02456 1.31829 1.13384 -1.60361 2.81025 1.79867 0.816419 2.37410 2.60517 3.36075 3.52124 2.17882 -0.0898531 0.358372 0.515308 1.55502 0.824745 0.206309 -0.0527317 0.247549 -0.0651937 0.320693 -0.165693 -0.136421 -0.0839090 3.07460 1.54456 -4.89215 0.450288
16: 2143.1931: 1.47747 1.72327 1.65067 2.10152 2.32319 2.28548 3.01978 2.63878 -0.683880 0.199001 -0.827022 -0.552295 -0.542141 -1.32663 -1.38010 -1.52868 -0.958690 -0.599817 -1.11741 -1.37072 -1.51432 1.39597 1.13824 -1.70596 2.96899 1.79663 1.08450 2.07094 2.82023 3.17122 3.12681 2.07184 -0.242828 0.468640 0.743698 2.04914 1.26993 0.405820 -0.128582 0.573481 -0.152079 0.507835 -0.400432 -0.329209 -0.202860 2.91371 1.35015 -4.65335 0.426089
17: 2138.8573: 1.28256 1.45389 1.51804 2.18053 2.26210 2.51091 3.02491 2.43289 -0.754879 0.176816 -0.972895 -0.619689 -0.607993 -1.73503 -1.79387 -1.95610 -1.11269 -0.667799 -1.38040 -1.65126 -1.94059 1.51488 1.14201 -1.86263 3.17725 1.89994 1.38678 1.88360 2.92459 2.94354 2.71261 1.92171 -0.434060 0.627444 1.05169 2.62912 1.79530 0.670257 -0.230613 0.997770 -0.259749 0.748905 -0.710425 -0.583469 -0.360067 2.82269 1.06490 -4.53432 0.460200
18: 2136.9174: 1.46123 1.52732 1.24710 2.68726 2.29746 2.22374 3.02007 2.42926 -0.769602 0.164270 -1.05332 -0.638253 -0.625898 -2.10656 -2.16901 -2.34142 -1.19528 -0.683694 -1.57978 -1.86065 -2.32500 1.64902 1.14605 -2.04769 3.24671 2.03345 1.63080 1.83250 2.71121 2.57091 2.43095 1.70774 -0.649727 0.791986 1.38426 3.12291 2.28299 0.973299 -0.357157 1.47736 -0.383789 0.996003 -1.09174 -0.894090 -0.553740 2.61442 0.887375 -4.45874 0.451350
19: 2135.3625: 1.80814 1.87647 1.03381 2.40319 2.36269 2.36022 2.90934 2.64103 -0.705793 0.160090 -1.02526 -0.586843 -0.576516 -2.38544 -2.44819 -2.62346 -1.15953 -0.627073 -1.65724 -1.93325 -2.60676 1.85433 1.15641 -2.35860 3.15765 2.24155 1.75518 2.01232 2.19425 2.29212 2.35929 1.51206 -0.877057 0.919222 1.71461 3.49013 2.66896 1.29772 -0.513363 1.97396 -0.530381 1.20998 -1.55755 -1.26905 -0.791005 2.55045 0.861141 -4.98048 0.421767
20: 2135.3441: 1.62854 2.24639 1.81946 2.14023 2.31366 2.19526 2.89060 2.22748 -0.641943 0.223939 -0.886167 -0.522522 -0.515894 -2.44828 -2.51042 -2.69008 -1.01510 -0.566621 -1.53549 -1.80893 -2.67314 2.19609 1.18641 -2.98272 2.85174 2.31258 1.57901 2.28101 2.13590 2.46391 2.17316 1.68483 -0.993868 0.887271 1.85945 3.47199 2.64485 1.51904 -0.677511 2.26988 -0.663648 1.21470 -2.06379 -1.64764 -1.05281 2.56574 0.377885 -5.32942 0.422369
21: 2132.8401: 1.50011 1.97731 2.07483 2.27115 2.24290 2.22243 2.85437 2.30139 -0.660134 0.185063 -0.836193 -0.532380 -0.528403 -2.40714 -2.46846 -2.65093 -0.964593 -0.583546 -1.44298 -1.71594 -2.63418 2.40095 1.21507 -3.41043 2.72368 2.25515 1.40990 2.34958 2.36206 2.50635 2.26096 1.75676 -0.996652 0.807995 1.84521 3.34325 2.50113 1.56969 -0.749205 2.31988 -0.713154 1.13687 -2.29060 -1.80359 -1.17230 2.54264 0.321396 -5.52156 0.437110
22: 2129.8704: 1.54316 1.95217 1.68221 2.23040 2.32608 2.24173 2.87482 2.32522 -0.766486 0.0818025 -0.877197 -0.617413 -0.611436 -2.31103 -2.37156 -2.56038 -1.01060 -0.680394 -1.37837 -1.65557 -2.54430 2.43122 1.20497 -3.43220 2.83336 2.16277 1.25159 2.23871 2.74742 2.53999 2.41346 1.76679 -0.917862 0.707760 1.73927 3.14945 2.25344 1.55029 -0.804786 2.25418 -0.716434 0.988578 -2.48291 -1.90331 -1.27921 2.46309 0.127418 -5.57275 0.463928
23: 2129.6515: 1.50075 1.84616 1.50775 2.27591 1.93105 2.24518 2.89569 2.34155 -0.853161 0.0587323 -0.959731 -0.691013 -0.682369 -2.20700 -2.26575 -2.46031 -1.09602 -0.758720 -1.36429 -1.64223 -2.44543 2.34813 1.15560 -3.16210 3.05875 2.13357 1.23942 2.17888 2.66177 2.49783 2.73910 1.73065 -0.830882 0.657901 1.61948 3.00949 2.04069 1.51515 -0.857646 2.16494 -0.689458 0.848217 -2.67323 -1.98023 -1.38984 2.34505 0.0187531 -5.68958 0.466301
24: 2128.2568: 1.47906 1.73159 1.45524 2.32373 1.99154 2.26863 2.88889 2.39439 -0.872949 0.0655178 -1.00224 -0.711140 -0.702656 -2.15649 -2.21345 -2.40983 -1.13738 -0.776897 -1.37312 -1.64813 -2.39575 2.31237 1.13522 -3.04407 3.16787 2.15566 1.28877 2.23376 2.50775 2.64610 2.69982 1.77559 -0.793262 0.659782 1.56502 2.95421 1.95957 1.50492 -0.890089 2.13081 -0.665070 0.799142 -2.78937 -2.02206 -1.45873 2.19172 -0.00224236 -5.69432 0.435361
25: 2127.5928: 1.47524 1.66478 1.49762 2.30419 2.19475 2.29031 2.87186 2.39607 -0.849406 0.0948497 -1.01751 -0.695520 -0.688943 -2.11874 -2.17317 -2.36923 -1.14924 -0.756000 -1.38649 -1.65534 -2.35592 2.32081 1.11574 -3.02262 3.21083 2.24466 1.37890 2.34270 2.48625 2.46916 2.75329 1.79205 -0.771342 0.696706 1.53919 2.94046 1.93319 1.50915 -0.928503 2.11862 -0.639254 0.792997 -2.92539 -2.06853 -1.54122 2.01735 -0.0128354 -5.66238 0.435960
26: 2127.1062: 1.55949 1.71023 1.50183 2.30125 2.18011 2.31032 2.86416 2.43316 -0.792702 0.117350 -1.00417 -0.651441 -0.647846 -2.07385 -2.12464 -2.31826 -1.13146 -0.705758 -1.39326 -1.65323 -2.30578 2.36736 1.08499 -3.07010 3.18895 2.36675 1.47446 2.42959 2.59274 2.48811 2.66146 1.72079 -0.752934 0.759427 1.52616 2.94111 1.93072 1.52033 -0.978774 2.11007 -0.610155 0.814663 -3.10608 -2.12349 -1.65440 1.82999 -0.00380138 -5.62681 0.467521
27: 2126.4061: 1.57956 1.80836 1.48538 2.28995 2.19398 2.29843 2.84875 2.43048 -0.739479 0.103495 -0.969063 -0.607091 -0.606073 -2.04254 -2.08950 -2.27977 -1.09439 -0.659066 -1.40017 -1.65349 -2.26808 2.44428 1.05365 -3.19281 3.06219 2.37856 1.51718 2.31968 2.69277 2.52189 2.66460 1.75757 -0.751211 0.813923 1.53195 2.96314 1.96616 1.53927 -1.03588 2.11391 -0.593916 0.859977 -3.31613 -2.18241 -1.79247 1.71545 0.0408659 -5.67749 0.437733
28: 2126.1159: 1.60397 1.80816 1.47425 2.32892 2.26384 2.29918 2.85634 2.43336 -0.759540 0.0597531 -0.956047 -0.620909 -0.619518 -2.02281 -2.06627 -2.25531 -1.08461 -0.678374 -1.41290 -1.66685 -2.24436 2.48842 1.01376 -3.23403 2.98853 2.28001 1.46717 2.26231 2.60204 2.59596 2.69652 1.84027 -0.738990 0.810828 1.53553 2.96317 1.98599 1.55227 -1.10161 2.10202 -0.578118 0.891730 -3.56007 -2.23301 -1.96887 1.71844 -0.0897258 -5.78149 0.438839
29: 2125.9448: 1.57795 1.79863 1.45880 2.31985 2.30413 2.27948 2.85240 2.41520 -0.799312 0.0713505 -0.944195 -0.649134 -0.646234 -1.99338 -2.03331 -2.22125 -1.07761 -0.714339 -1.40983 -1.66813 -2.21096 2.48842 0.969034 -3.17062 3.02589 2.18423 1.37109 2.34674 2.55830 2.65960 2.69320 1.87001 -0.712607 0.764346 1.53680 2.93930 1.98951 1.55314 -1.16818 2.06555 -0.552024 0.915918 -3.80638 -2.25097 -2.17704 1.74700 0.0524304 -5.76821 0.437660
30: 2125.7852: 1.59160 1.79733 1.47168 2.33745 2.27540 2.29562 2.87244 2.43693 -0.827549 0.109006 -0.944854 -0.671351 -0.668253 -1.97651 -2.01380 -2.20216 -1.08141 -0.739663 -1.40099 -1.66574 -2.19230 2.49754 0.936991 -3.13258 3.11869 2.20824 1.31886 2.47341 2.56855 2.63642 2.63849 1.83691 -0.696343 0.716892 1.55217 2.91688 1.99211 1.56855 -1.24417 2.04773 -0.529853 0.936138 -4.06687 -2.27127 -2.42460 1.74652 -0.0166646 -5.78002 0.429906
31: 2125.6001: 1.57700 1.76718 1.49409 2.32834 2.29062 2.28807 2.87178 2.44760 -0.800973 0.130918 -0.950321 -0.651867 -0.650879 -1.95628 -1.99166 -2.18017 -1.08518 -0.714803 -1.38300 -1.65134 -2.17053 2.50020 0.912590 -3.09202 3.16107 2.33238 1.37950 2.37550 2.56839 2.65310 2.63118 1.73773 -0.692018 0.716242 1.56318 2.90584 1.98678 1.58076 -1.31826 2.02301 -0.511850 0.939813 -4.28729 -2.26846 -2.71090 1.73799 -0.0194655 -5.80747 0.433135
32: 2125.4708: 1.58012 1.77005 1.48624 2.32347 2.26080 2.28971 2.87636 2.45818 -0.774747 0.127226 -0.954728 -0.632367 -0.632844 -1.94551 -1.98011 -2.16866 -1.08756 -0.690786 -1.37297 -1.64239 -2.15904 2.50514 0.899363 -3.07693 3.16229 2.39169 1.43188 2.31800 2.56820 2.62658 2.60779 1.80163 -0.695418 0.728016 1.56672 2.90504 1.98204 1.58658 -1.36315 2.00534 -0.504449 0.936594 -4.40136 -2.26053 -2.90468 1.72522 -0.00495619 -5.80803 0.443012
33: 2125.3487: 1.59636 1.78455 1.47490 2.31816 2.24898 2.28760 2.88274 2.45212 -0.745883 0.0889103 -0.958720 -0.610613 -0.611541 -1.94689 -1.98208 -2.17002 -1.08794 -0.665374 -1.37547 -1.64083 -2.16014 2.51941 0.888828 -3.09474 3.06760 2.32577 1.47817 2.36703 2.57810 2.61044 2.60976 1.75870 -0.716098 0.765470 1.56227 2.93043 1.98212 1.58661 -1.39488 1.98745 -0.514834 0.917940 -4.40578 -2.24201 -3.11048 1.71619 -0.00692215 -5.82600 0.447130
34: 2125.1428: 1.61088 1.83756 1.47845 2.34831 2.25467 2.30388 2.89774 2.46266 -0.722063 0.231738 -0.917141 -0.586937 -0.586661 -1.92431 -1.96049 -2.14265 -1.03972 -0.644138 -1.35565 -1.60337 -2.13220 2.55414 0.823616 -3.09464 2.99172 2.23433 1.42367 2.31175 2.57206 2.56209 2.60599 1.74151 -0.774539 0.785311 1.53303 2.96470 1.96659 1.57599 -1.47042 1.92821 -0.556771 0.869952 -4.31115 -2.19062 -3.75244 1.66868 -0.0121193 -5.89050 0.442384
35: 2125.0246: 1.66333 1.86346 1.53014 2.36563 2.26315 2.31688 2.91561 2.46249 -0.706504 0.101415 -0.879040 -0.569476 -0.568945 -1.89900 -1.93597 -2.11327 -1.00137 -0.628748 -1.33146 -1.56976 -2.10228 2.58740 0.743737 -3.07411 2.97415 2.22112 1.35351 2.25290 2.53618 2.51110 2.58520 1.72299 -0.823021 0.740970 1.50334 2.96985 1.94465 1.56329 -1.54229 1.86999 -0.598435 0.832598 -4.22371 -2.15541 -4.40848 1.63660 0.00192353 -5.92599 0.434881
36: 2124.9759: 1.60290 1.87451 1.50266 2.36308 2.26644 2.31363 2.91545 2.46679 -0.711474 0.102278 -0.896981 -0.575245 -0.575923 -1.90355 -1.94102 -2.12030 -1.02689 -0.632436 -1.33686 -1.58676 -2.10908 2.60945 0.712835 -3.09074 2.95567 2.23274 1.35370 2.26199 2.50243 2.50526 2.57460 1.71212 -0.825853 0.679865 1.49525 2.93633 1.93379 1.55835 -1.55222 1.86393 -0.611507 0.835845 -4.21326 -2.17722 -4.55474 1.64450 0.00313375 -5.93481 0.435791
37: 2124.9299: 1.62339 1.82668 1.48886 2.33451 2.26540 2.29945 2.91330 2.45532 -0.717954 0.130251 -0.916078 -0.582392 -0.584227 -1.90957 -1.94734 -2.12912 -1.05190 -0.638054 -1.34353 -1.60553 -2.11774 2.62440 0.684460 -3.09252 2.94541 2.22153 1.35411 2.26253 2.48011 2.50517 2.55924 1.70849 -0.825711 0.629872 1.48750 2.89580 1.92158 1.55209 -1.55466 1.86215 -0.622946 0.841782 -4.20731 -2.20793 -4.65361 1.65522 0.00279746 -5.94154 0.438602
38: 2124.9247: 1.59271 1.80821 1.50703 2.34155 2.28174 2.30100 2.90454 2.47037 -0.728648 0.131321 -0.920705 -0.592268 -0.594237 -1.90779 -1.94456 -2.12815 -1.05012 -0.650493 -1.34412 -1.60876 -2.11678 2.61173 0.646491 -3.01558 2.95304 2.15548 1.33121 2.24491 2.49242 2.49886 2.53261 1.69452 -0.824450 0.650076 1.47293 2.84290 1.89692 1.53612 -1.54071 1.86205 -0.630991 0.840782 -4.20945 -2.25866 -4.65882 1.66817 -0.00627829 -5.95184 0.442400
39: 2124.9022: 1.60159 1.81152 1.50288 2.34116 2.27922 2.30180 2.90511 2.46835 -0.740513 0.132999 -0.921189 -0.601878 -0.603067 -1.91365 -1.95020 -2.13436 -1.04710 -0.661906 -1.34902 -1.60943 -2.12295 2.62786 0.636979 -3.04393 2.95658 2.16467 1.31150 2.23632 2.46289 2.48937 2.52105 1.68059 -0.831289 0.663253 1.46395 2.84085 1.88663 1.52705 -1.53491 1.86093 -0.636312 0.826461 -4.22353 -2.28073 -4.63650 1.67279 -0.000909314 -5.93461 0.441840
40: 2124.8796: 1.61974 1.81065 1.49575 2.34379 2.27098 2.30058 2.90440 2.46286 -0.733704 0.135210 -0.921258 -0.595060 -0.596945 -1.92349 -1.95968 -2.14449 -1.05274 -0.652488 -1.35681 -1.61141 -2.13305 2.64503 0.607728 -3.04957 2.91223 2.18010 1.28582 2.22111 2.43680 2.47108 2.50298 1.66345 -0.862751 0.589782 1.43232 2.83173 1.85783 1.49812 -1.53646 1.84459 -0.662728 0.780157 -4.27058 -2.32313 -4.65353 1.65497 0.00244633 -5.92294 0.438083
41: 2124.8655: 1.62166 1.82068 1.49586 2.33798 2.26626 2.29679 2.90335 2.45913 -0.729094 0.130680 -0.917860 -0.592500 -0.594664 -1.92761 -1.96395 -2.14901 -1.05341 -0.649845 -1.35435 -1.61241 -2.13744 2.67305 0.574229 -3.07520 2.91804 2.13110 1.26127 2.18491 2.40195 2.43858 2.47321 1.62895 -0.894956 0.555675 1.40409 2.80607 1.83357 1.46810 -1.54704 1.82452 -0.693044 0.754063 -4.29852 -2.35652 -4.71093 1.65325 0.00232989 -5.91362 0.437753
42: 2124.8218: 1.62899 1.82834 1.50110 2.33404 2.26129 2.29118 2.90613 2.45329 -0.759507 0.128011 -0.918195 -0.619336 -0.620739 -1.93880 -1.97578 -2.16190 -1.05209 -0.682703 -1.34934 -1.61933 -2.14984 2.75002 0.426203 -3.07097 2.77709 2.02309 1.11165 2.04442 2.26401 2.30072 2.34056 1.48998 -1.02581 0.484256 1.27668 2.67592 1.71774 1.32757 -1.59734 1.72068 -0.820812 0.647366 -4.39327 -2.48382 -4.91848 1.70463 0.00692916 -5.84287 0.438201
43: 2124.7680: 1.61944 1.81820 1.49450 2.33203 2.25831 2.28484 2.90201 2.45176 -0.757307 0.124401 -0.929615 -0.614336 -0.615586 -1.94663 -1.98390 -2.17142 -1.04887 -0.675347 -1.36290 -1.62323 -2.15901 2.81847 0.278397 -3.03692 2.66162 1.88933 0.977514 1.91634 2.12290 2.17325 2.21192 1.35763 -1.15761 0.375994 1.13359 2.53768 1.57374 1.17451 -1.67054 1.60110 -0.954077 0.501098 -4.52836 -2.62488 -5.00663 1.67110 0.00676545 -5.78838 0.439281
44: 2124.7233: 1.61953 1.82173 1.49984 2.34113 2.26165 2.28445 2.90104 2.45306 -0.748339 0.128404 -0.928499 -0.614009 -0.616670 -1.94738 -1.98440 -2.17157 -1.05618 -0.674201 -1.36860 -1.62163 -2.15909 2.88417 0.134144 -2.99637 2.53794 1.74463 0.882018 1.78624 2.00866 2.04790 2.08277 1.23188 -1.28568 0.220139 0.997502 2.39932 1.43485 1.02685 -1.77569 1.47264 -1.08418 0.359191 -4.67777 -2.75614 -5.09322 1.70689 0.00911793 -5.73136 0.439602
45: 2124.6975: 1.60333 1.81090 1.49338 2.33142 2.25847 2.27660 2.89597 2.44959 -0.745866 0.123630 -0.928312 -0.598029 -0.599439 -1.94554 -1.98257 -2.16962 -1.06221 -0.657755 -1.36404 -1.62789 -2.15735 2.94906 -0.00765556 -2.94971 2.40687 1.62131 0.725589 1.67245 1.91774 1.93351 1.96635 1.12149 -1.41664 0.0939030 0.872225 2.27274 1.31647 0.895619 -1.94161 1.33482 -1.21157 0.235901 -4.84773 -2.87853 -5.24585 1.70080 0.00287269 -5.72247 0.439309
46: 2124.6850: 1.60374 1.80760 1.49576 2.33832 2.26144 2.28449 2.89772 2.45436 -0.733806 0.126243 -0.929523 -0.612983 -0.618792 -1.92918 -1.96578 -2.15077 -1.04555 -0.667620 -1.35299 -1.61334 -2.13892 2.97187 -0.0623214 -2.91981 2.34600 1.56308 0.727544 1.62544 1.86999 1.88735 1.92162 1.07750 -1.45974 0.0170209 0.821158 2.21967 1.26317 0.843774 -2.07712 1.24910 -1.25952 0.189034 -4.88942 -2.91323 -5.28410 1.68986 -0.00543231 -5.74225 0.438858
47: 2124.6802: 1.61301 1.81513 1.50183 2.35034 2.26861 2.29264 2.90162 2.45757 -0.739529 0.131854 -0.926514 -0.585381 -0.585186 -1.92525 -1.96154 -2.14531 -1.07221 -0.648073 -1.36301 -1.61460 -2.13361 2.97638 -0.0697867 -2.92037 2.34024 1.55963 0.697141 1.61170 1.85595 1.87514 1.91053 1.06577 -1.46577 -0.00464078 0.813777 2.21233 1.25243 0.836141 -2.15183 1.21468 -1.26765 0.178794 -4.86773 -2.91566 -5.23822 1.70944 -0.00799748 -5.76427 0.439625
48: 2124.6731: 1.61144 1.81466 1.49704 2.34045 2.26466 2.28649 2.90026 2.45499 -0.728824 0.129212 -0.916071 -0.602261 -0.607469 -1.92844 -1.96466 -2.14936 -1.05951 -0.658513 -1.36089 -1.61797 -2.13756 2.98732 -0.0828281 -2.93029 2.32996 1.55383 0.674178 1.60226 1.84296 1.86261 1.89721 1.05347 -1.48290 0.00219105 0.808572 2.20644 1.24502 0.831558 -2.18175 1.20354 -1.27960 0.167015 -4.88783 -2.93671 -5.25097 1.68825 -0.00410066 -5.78643 0.439291
49: 2124.6719: 1.61163 1.81415 1.49639 2.33876 2.26392 2.28596 2.90073 2.45564 -0.742891 0.129276 -0.923071 -0.600097 -0.601991 -1.92738 -1.96357 -2.14846 -1.05227 -0.659985 -1.35569 -1.61534 -2.13665 2.99393 -0.0931642 -2.92955 2.31987 1.54276 0.671484 1.59303 1.83089 1.85262 1.88736 1.04360 -1.49239 -0.00234528 0.799875 2.19779 1.23637 0.823724 -2.19393 1.19354 -1.28943 0.159557 -4.90120 -2.94803 -5.26923 1.68187 -0.00207379 -5.79143 0.438979
50: 2124.6713: 1.61294 1.81471 1.49738 2.34013 2.26501 2.28746 2.90202 2.45699 -0.736549 0.130304 -0.925651 -0.599710 -0.602695 -1.92576 -1.96194 -2.14681 -1.05216 -0.658183 -1.35321 -1.61307 -2.13501 3.00061 -0.103583 -2.92643 2.30931 1.53178 0.660083 1.58200 1.81793 1.84164 1.87712 1.03257 -1.50221 -0.0131108 0.788207 2.18716 1.22555 0.813468 -2.20498 1.18137 -1.30113 0.150371 -4.91096 -2.95902 -5.28081 1.67975 -0.000513460 -5.79537 0.438993
51: 2124.6710: 1.61353 1.81535 1.49838 2.34084 2.26621 2.28901 2.90316 2.45808 -0.737194 0.130701 -0.916793 -0.599429 -0.602160 -1.92422 -1.96044 -2.14527 -1.05081 -0.658324 -1.35372 -1.61191 -2.13350 3.00825 -0.112239 -2.92334 2.29822 1.52141 0.649666 1.57122 1.80632 1.83073 1.86682 1.02177 -1.51363 -0.0277136 0.776151 2.17563 1.21384 0.803122 -2.21117 1.17087 -1.31345 0.138590 -4.92079 -2.97123 -5.28168 1.67664 0.000593599 -5.80296 0.439150
52: 2124.6709: 1.61343 1.81518 1.49884 2.34092 2.26679 2.28961 2.90374 2.45866 -0.733634 0.130938 -0.922726 -0.598083 -0.601369 -1.92362 -1.95989 -2.14466 -1.05105 -0.656224 -1.35382 -1.61179 -2.13290 3.01196 -0.111982 -2.92157 2.29549 1.51829 0.647337 1.56883 1.80406 1.82799 1.86357 1.01963 -1.51650 -0.0286101 0.773744 2.17230 1.21078 0.800672 -2.20338 1.17127 -1.31602 0.134800 -4.92556 -2.97449 -5.27816 1.67934 0.000464008 -5.80694 0.439012
53: 2124.6709: 1.61400 1.81575 1.49913 2.34131 2.26683 2.28945 2.90361 2.45857 -0.734995 0.131314 -0.921702 -0.598228 -0.601131 -1.92333 -1.95957 -2.14423 -1.05242 -0.657026 -1.35212 -1.61112 -2.13246 3.01335 -0.110306 -2.92130 2.29565 1.51918 0.647110 1.56936 1.80485 1.82859 1.86430 1.01996 -1.51547 -0.0287119 0.774649 2.17411 1.21222 0.800627 -2.19774 1.17338 -1.31551 0.136356 -4.92551 -2.97365 -5.28300 1.67726 3.21909e-05 -5.80613 0.439096
54: 2124.6708: 1.61379 1.81537 1.49866 2.34126 2.26660 2.28927 2.90354 2.45852 -0.735299 0.131250 -0.919654 -0.597969 -0.601021 -1.92367 -1.95993 -2.14462 -1.05069 -0.656107 -1.35346 -1.61208 -2.13285 3.01466 -0.107868 -2.92044 2.29653 1.51994 0.648456 1.57014 1.80544 1.82930 1.86508 1.02064 -1.51480 -0.0275293 0.775342 2.17451 1.21287 0.800732 -2.19505 1.17451 -1.31473 0.137460 -4.92404 -2.97252 -5.28349 1.67796 -7.73514e-05 -5.80527 0.439075
55: 2124.6708: 1.61361 1.81537 1.49863 2.34107 2.26651 2.28918 2.90345 2.45835 -0.735276 0.131047 -0.920466 -0.598150 -0.600887 -1.92344 -1.95969 -2.14436 -1.05108 -0.657339 -1.35343 -1.61164 -2.13259 3.01654 -0.105883 -2.92000 2.29679 1.52014 0.648600 1.57035 1.80592 1.82956 1.86531 1.02096 -1.51499 -0.0274203 0.775392 2.17427 1.21265 0.800561 -2.19441 1.17474 -1.31469 0.137053 -4.92383 -2.97261 -5.28149 1.67775 -1.85673e-05 -5.80588 0.439079
56: 2124.6708: 1.61359 1.81548 1.49870 2.34095 2.26656 2.28920 2.90340 2.45832 -0.735818 0.130947 -0.921361 -0.598667 -0.601938 -1.92301 -1.95925 -2.14388 -1.05219 -0.656294 -1.35262 -1.61109 -2.13212 3.02130 -0.102124 -2.91862 2.29652 1.51983 0.648284 1.57014 1.80586 1.82937 1.86506 1.02082 -1.51520 -0.0276920 0.775344 2.17432 1.21250 0.799880 -2.19408 1.17456 -1.31497 0.136398 -4.92446 -2.97317 -5.27995 1.67753 3.39949e-05 -5.80661 0.439077
57: 2124.6708: 1.61370 1.81552 1.49866 2.34101 2.26668 2.28926 2.90343 2.45843 -0.735066 0.131029 -0.921528 -0.598330 -0.601230 -1.92275 -1.95897 -2.14357 -1.05228 -0.657198 -1.35213 -1.61115 -2.13181 3.03006 -0.0955409 -2.91566 2.29594 1.51934 0.647754 1.56972 1.80522 1.82883 1.86449 1.02031 -1.51530 -0.0281622 0.775217 2.17447 1.21245 0.798729 -2.19386 1.17406 -1.31539 0.135999 -4.92543 -2.97375 -5.28042 1.67765 5.37858e-06 -5.80683 0.439071
58: 2124.6707: 1.61399 1.81571 1.49851 2.34134 2.26682 2.28922 2.90350 2.45839 -0.734114 0.131254 -0.922081 -0.597800 -0.600150 -1.92213 -1.95831 -2.14282 -1.05078 -0.658505 -1.35256 -1.61105 -2.13106 3.06877 -0.0651786 -2.90277 2.29514 1.51874 0.646491 1.56887 1.80422 1.82779 1.86350 1.01929 -1.51628 -0.0292615 0.774359 2.17321 1.21117 0.795070 -2.19334 1.17245 -1.31648 0.135167 -4.92680 -2.97485 -5.28324 1.67783 -6.39553e-05 -5.80710 0.439093
59: 2124.6706: 1.61389 1.81517 1.49796 2.34126 2.26659 2.28888 2.90351 2.45837 -0.733111 0.131235 -0.920087 -0.597157 -0.598845 -1.92153 -1.95770 -2.14216 -1.05285 -0.660040 -1.35223 -1.61082 -2.13039 3.16670 0.0132364 -2.86989 2.29378 1.51731 0.646048 1.56757 1.80226 1.82626 1.86200 1.01784 -1.51750 -0.0293327 0.773277 2.17167 1.20985 0.789406 -2.19383 1.16979 -1.31780 0.134463 -4.92755 -2.97604 -5.28562 1.67829 -0.000128205 -5.80657 0.439026
60: 2124.6705: 1.61409 1.81555 1.49816 2.34134 2.26675 2.28891 2.90347 2.45842 -0.733766 0.131289 -0.921446 -0.597514 -0.599630 -1.92186 -1.95803 -2.14251 -1.04865 -0.658659 -1.35197 -1.61172 -2.13075 3.27149 0.0970655 -2.83663 2.29317 1.51693 0.644161 1.56681 1.80187 1.82570 1.86153 1.01713 -1.51759 -0.0318939 0.772992 2.17237 1.21033 0.787883 -2.19600 1.16876 -1.31845 0.134076 -4.92740 -2.97675 -5.28502 1.67856 -0.000103668 -5.80604 0.439110
61: 2124.6704: 1.61407 1.81568 1.49849 2.34147 2.26685 2.28941 2.90356 2.45847 -0.734747 0.131417 -0.920744 -0.597839 -0.600789 -1.92248 -1.95869 -2.14325 -1.05043 -0.656856 -1.35353 -1.61151 -2.13150 3.32550 0.138088 -2.82134 2.29368 1.51712 0.645245 1.56728 1.80256 1.82627 1.86200 1.01769 -1.51781 -0.0303900 0.772551 2.17100 1.20915 0.791696 -2.19887 1.16941 -1.31808 0.133841 -4.92856 -2.97651 -5.28778 1.67785 4.02024e-06 -5.80623 0.439090
62: 2124.6704: 1.61364 1.81533 1.49872 2.34101 2.26661 2.28943 2.90345 2.45847 -0.735470 0.130994 -0.920575 -0.598519 -0.601198 -1.92361 -1.95988 -2.14457 -1.05162 -0.656375 -1.35291 -1.61136 -2.13281 3.35778 0.160479 -2.81237 2.29343 1.51681 0.645221 1.56698 1.80249 1.82621 1.86195 1.01763 -1.51827 -0.0308670 0.772148 2.17122 1.20969 0.795426 -2.19931 1.17071 -1.31793 0.134147 -4.92668 -2.97598 -5.28442 1.67792 -1.10095e-05 -5.80553 0.439068
63: 2124.6704: 1.61365 1.81535 1.49883 2.34108 2.26664 2.28944 2.90346 2.45849 -0.735510 0.131064 -0.920649 -0.597723 -0.601740 -1.92359 -1.95986 -2.14455 -1.05171 -0.656679 -1.35292 -1.61173 -2.13279 3.37464 0.170145 -2.80716 2.29336 1.51664 0.645180 1.56693 1.80251 1.82619 1.86191 1.01761 -1.51818 -0.0308715 0.771940 2.17120 1.20945 0.796848 -2.19956 1.17091 -1.31803 0.133533 -4.92726 -2.97603 -5.28533 1.67783 2.12917e-05 -5.80586 0.439072
64: 2124.6703: 1.61376 1.81545 1.49903 2.34130 2.26675 2.28949 2.90348 2.45853 -0.735177 0.131264 -0.920902 -0.598981 -0.600632 -1.92344 -1.95966 -2.14433 -1.05164 -0.656793 -1.35329 -1.61222 -2.13258 3.41253 0.187485 -2.79562 2.29312 1.51628 0.644963 1.56679 1.80250 1.82609 1.86173 1.01749 -1.51811 -0.0309353 0.771544 2.17093 1.20883 0.800319 -2.19995 1.17131 -1.31832 0.132451 -4.92900 -2.97627 -5.28770 1.67762 6.81340e-05 -5.80665 0.439082
65: 2124.6703: 1.61380 1.81550 1.49894 2.34130 2.26680 2.28957 2.90346 2.45853 -0.735016 0.131240 -0.921091 -0.598033 -0.600937 -1.92341 -1.95964 -2.14430 -1.05131 -0.657288 -1.35361 -1.61172 -2.13255 3.42717 0.184627 -2.79173 2.29285 1.51615 0.644669 1.56663 1.80230 1.82585 1.86151 1.01728 -1.51850 -0.0312609 0.771521 2.17063 1.20875 0.802174 -2.19957 1.17149 -1.31848 0.132927 -4.92933 -2.97645 -5.28747 1.67760 3.33668e-06 -5.80658 0.439084
66: 2124.6702: 1.61379 1.81550 1.49855 2.34125 2.26678 2.28963 2.90341 2.45843 -0.734673 0.131092 -0.921208 -0.596440 -0.601254 -1.92310 -1.95931 -2.14391 -1.05080 -0.658190 -1.35285 -1.61147 -2.13217 3.49384 0.178711 -2.77260 2.29255 1.51612 0.644223 1.56631 1.80179 1.82538 1.86112 1.01687 -1.51931 -0.0317826 0.771301 2.17017 1.20853 0.805658 -2.19811 1.17143 -1.31870 0.133284 -4.92864 -2.97664 -5.28599 1.67790 -0.000153784 -5.80595 0.439081
67: 2124.6701: 1.61376 1.81548 1.49803 2.34113 2.26671 2.28960 2.90333 2.45835 -0.734395 0.130922 -0.921272 -0.595124 -0.601551 -1.92238 -1.95857 -2.14306 -1.05035 -0.658987 -1.35323 -1.60996 -2.13132 3.65102 0.168810 -2.72728 2.29256 1.51636 0.644056 1.56634 1.80163 1.82528 1.86111 1.01681 -1.51928 -0.0320487 0.771703 2.17061 1.20919 0.810658 -2.19619 1.17139 -1.31850 0.134447 -4.92762 -2.97655 -5.28425 1.67827 -0.000256837 -5.80531 0.439075
68: 2124.6699: 1.61379 1.81554 1.49723 2.34113 2.26661 2.28945 2.90328 2.45812 -0.734195 0.130753 -0.920992 -0.594131 -0.601769 -1.92137 -1.95752 -2.14187 -1.04961 -0.659298 -1.35109 -1.61081 -2.13014 3.98562 0.100145 -2.63490 2.29443 1.51840 0.645642 1.56799 1.80299 1.82676 1.86272 1.01833 -1.51797 -0.0305086 0.773510 2.17201 1.21075 0.817599 -2.19257 1.17197 -1.31676 0.136675 -4.92449 -2.97510 -5.28006 1.67883 -0.000336723 -5.80437 0.439072
69: 2124.6697: 1.61381 1.81555 1.49704 2.34099 2.26641 2.28885 2.90336 2.45808 -0.734607 0.130811 -0.920504 -0.595445 -0.601706 -1.92092 -1.95706 -2.14139 -1.04983 -0.658239 -1.35163 -1.61029 -2.12964 4.09606 -0.0665292 -2.61380 2.29794 1.52167 0.648974 1.57122 1.80613 1.83008 1.86611 1.02156 -1.51350 -0.0271350 0.776962 2.17648 1.21461 0.815661 -2.18972 1.17361 -1.31338 0.138942 -4.92036 -2.97196 -5.27698 1.67913 -0.000186529 -5.80405 0.439073
70: 2124.6695: 1.61385 1.81553 1.49801 2.34111 2.26653 2.28892 2.90355 2.45836 -0.735135 0.131129 -0.920400 -0.597617 -0.601455 -1.92185 -1.95802 -2.14252 -1.05096 -0.656421 -1.35391 -1.60876 -2.13077 4.44566 -0.133883 -2.52151 2.29752 1.52104 0.649003 1.57103 1.80624 1.83010 1.86595 1.02151 -1.51394 -0.0270465 0.776742 2.17609 1.21437 0.810910 -2.19294 1.17308 -1.31374 0.138693 -4.92190 -2.97215 -5.27912 1.67837 -6.98785e-05 -5.80475 0.439071
71: 2124.6694: 1.61380 1.81552 1.49896 2.34134 2.26676 2.28954 2.90360 2.45856 -0.735322 0.131285 -0.920502 -0.598662 -0.601086 -1.92322 -1.95945 -2.14411 -1.05151 -0.655866 -1.35283 -1.61150 -2.13237 4.30707 -0.0832823 -2.56046 2.29581 1.51920 0.647783 1.56954 1.80513 1.82876 1.86442 1.02016 -1.51625 -0.0281745 0.774720 2.17301 1.21171 0.803640 -2.19712 1.17260 -1.31556 0.137079 -4.92526 -2.97367 -5.28211 1.67745 9.43869e-06 -5.80585 0.439073
72: 2124.6693: 1.61381 1.81556 1.49903 2.34124 2.26667 2.28931 2.90361 2.45852 -0.735396 0.131265 -0.920515 -0.598669 -0.601092 -1.92366 -1.95991 -2.14464 -1.05154 -0.656146 -1.35288 -1.61193 -2.13289 4.37980 -0.0862434 -2.54316 2.29652 1.51982 0.648389 1.57013 1.80576 1.82941 1.86511 1.02080 -1.51477 -0.0275438 0.775126 2.17415 1.21238 0.800850 -2.19652 1.17378 -1.31481 0.136613 -4.92453 -2.97285 -5.28215 1.67759 4.54522e-05 -5.80594 0.439077
73: 2124.6693: 1.61390 1.81566 1.49915 2.34114 2.26657 2.28893 2.90364 2.45853 -0.735412 0.131318 -0.920699 -0.598829 -0.601031 -1.92429 -1.96058 -2.14541 -1.05167 -0.656563 -1.35335 -1.61258 -2.13363 4.59527 -0.0776252 -2.49268 2.29782 1.52095 0.649558 1.57129 1.80693 1.83067 1.86641 1.02199 -1.51325 -0.0264114 0.776293 2.17614 1.21399 0.795335 -2.19563 1.17645 -1.31359 0.137077 -4.92349 -2.97140 -5.28197 1.67767 0.000120822 -5.80631 0.439085
74: 2124.6692: 1.61392 1.81566 1.49909 2.34110 2.26654 2.28878 2.90366 2.45849 -0.735279 0.131318 -0.920739 -0.598516 -0.601014 -1.92431 -1.96060 -2.14544 -1.05152 -0.656890 -1.35350 -1.61205 -2.13365 4.66524 -0.0536001 -2.47874 2.29778 1.52096 0.649434 1.57123 1.80681 1.83059 1.86635 1.02192 -1.51255 -0.0265130 0.776230 2.17642 1.21401 0.794072 -2.19530 1.17706 -1.31354 0.136497 -4.92324 -2.97129 -5.28213 1.67783 8.25883e-05 -5.80626 0.439086
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76: 2124.6689: 1.61393 1.81548 1.49889 2.34143 2.26673 2.28915 2.90371 2.45857 -0.734827 0.131439 -0.920516 -0.597803 -0.600917 -1.92262 -1.95882 -2.14345 -1.05105 -0.656733 -1.35284 -1.61100 -2.13169 5.21596 0.0683312 -2.36978 2.29555 1.51895 0.647323 1.56919 1.80467 1.82839 1.86408 1.01978 -1.51643 -0.0286348 0.774512 2.17359 1.21191 0.799116 -2.19714 1.17512 -1.31592 0.136146 -4.92513 -2.97393 -5.28280 1.67787 -5.52281e-06 -5.80581 0.439080
77: 2124.6689: 1.61388 1.81543 1.49889 2.34150 2.26680 2.28937 2.90371 2.45861 -0.734843 0.131440 -0.920372 -0.597888 -0.600908 -1.92225 -1.95843 -2.14300 -1.05102 -0.656342 -1.35294 -1.61011 -2.13126 5.60403 0.0964333 -2.29102 2.29492 1.51841 0.646773 1.56867 1.80416 1.82783 1.86349 1.01924 -1.51696 -0.0291437 0.774064 2.17272 1.21125 0.801529 -2.19782 1.17383 -1.31648 0.136041 -4.92568 -2.97466 -5.28306 1.67780 -2.36023e-05 -5.80568 0.439075
78: 2124.6689: 1.61388 1.81549 1.49887 2.34143 2.26673 2.28931 2.90367 2.45852 -0.734983 0.131347 -0.920455 -0.598000 -0.600985 -1.92265 -1.95885 -2.14346 -1.05113 -0.656446 -1.35235 -1.61157 -2.13172 5.50219 0.0679814 -2.31514 2.29552 1.51898 0.647346 1.56920 1.80472 1.82837 1.86407 1.01980 -1.51598 -0.0285592 0.774434 2.17292 1.21144 0.801003 -2.19697 1.17349 -1.31584 0.136552 -4.92509 -2.97401 -5.28230 1.67771 6.07846e-08 -5.80579 0.439074
79: 2124.6688: 1.61389 1.81551 1.49886 2.34139 2.26671 2.28927 2.90365 2.45852 -0.735050 0.131328 -0.920507 -0.598067 -0.601035 -1.92284 -1.95905 -2.14368 -1.05123 -0.656465 -1.35245 -1.61171 -2.13194 5.66588 0.0553041 -2.28614 2.29574 1.51916 0.647544 1.56938 1.80486 1.82855 1.86427 1.01996 -1.51623 -0.0283943 0.774606 2.17325 1.21172 0.800989 -2.19649 1.17258 -1.31572 0.136594 -4.92495 -2.97380 -5.28238 1.67775 5.56817e-06 -5.80581 0.439076
80: 2124.6688: 1.61388 1.81556 1.49892 2.34129 2.26663 2.28917 2.90361 2.45848 -0.735124 0.131296 -0.920598 -0.598158 -0.601091 -1.92332 -1.95955 -2.14424 -1.05132 -0.656549 -1.35286 -1.61162 -2.13249 6.32136 0.0176902 -2.16903 2.29583 1.51926 0.647631 1.56950 1.80500 1.82868 1.86443 1.02010 -1.51494 -0.0282822 0.774726 2.17342 1.21175 0.800651 -2.19555 1.17027 -1.31543 0.136695 -4.92488 -2.97344 -5.28239 1.67758 4.10917e-06 -5.80608 0.439075
81: 2124.6687: 1.61390 1.81556 1.49897 2.34129 2.26667 2.28913 2.90365 2.45854 -0.735054 0.131356 -0.920591 -0.598106 -0.601031 -1.92335 -1.95959 -2.14429 -1.05127 -0.656608 -1.35324 -1.61089 -2.13254 6.00905 0.00721801 -2.22815 2.29591 1.51929 0.647680 1.56955 1.80502 1.82876 1.86449 1.02015 -1.51526 -0.0282614 0.774819 2.17398 1.21215 0.799639 -2.19587 1.17168 -1.31545 0.136205 -4.92488 -2.97336 -5.28283 1.67773 -8.82643e-06 -5.80603 0.439079
82: 2124.6687: 1.61392 1.81557 1.49896 2.34129 2.26666 2.28912 2.90365 2.45853 -0.735052 0.131348 -0.920610 -0.598051 -0.601038 -1.92337 -1.95961 -2.14431 -1.05126 -0.656685 -1.35299 -1.61139 -2.13256 6.18505 -0.00765507 -2.19838 2.29603 1.51940 0.647789 1.56965 1.80512 1.82885 1.86459 1.02024 -1.51533 -0.0281618 0.774874 2.17401 1.21218 0.799528 -2.19568 1.17177 -1.31536 0.136308 -4.92474 -2.97325 -5.28261 1.67773 -5.51381e-06 -5.80601 0.439080
83: 2124.6686: 1.61392 1.81558 1.49897 2.34129 2.26666 2.28912 2.90365 2.45853 -0.735055 0.131343 -0.920617 -0.598036 -0.601041 -1.92342 -1.95966 -2.14437 -1.05126 -0.656712 -1.35298 -1.61144 -2.13262 6.39558 -0.0236319 -2.16340 2.29608 1.51945 0.647840 1.56970 1.80518 1.82891 1.86465 1.02030 -1.51522 -0.0281117 0.774913 2.17406 1.21223 0.799459 -2.19564 1.17193 -1.31529 0.136350 -4.92470 -2.97318 -5.28255 1.67772 -3.91170e-06 -5.80602 0.439080
84: 2124.6686: 1.61392 1.81559 1.49896 2.34130 2.26665 2.28913 2.90365 2.45852 -0.735052 0.131331 -0.920629 -0.597985 -0.601047 -1.92339 -1.95963 -2.14434 -1.05124 -0.656765 -1.35278 -1.61183 -2.13258 6.60626 -0.0405976 -2.12976 2.29614 1.51952 0.647900 1.56974 1.80524 1.82896 1.86470 1.02035 -1.51523 -0.0280554 0.774930 2.17401 1.21221 0.799438 -2.19564 1.17243 -1.31523 0.136488 -4.92460 -2.97313 -5.28232 1.67772 2.19476e-07 -5.80599 0.439079
85: 2124.6686: 1.61392 1.81559 1.49894 2.34132 2.26666 2.28916 2.90365 2.45851 -0.735041 0.131323 -0.920617 -0.597931 -0.601042 -1.92331 -1.95954 -2.14424 -1.05121 -0.656787 -1.35256 -1.61211 -2.13249 6.78322 -0.0557903 -2.10368 2.29619 1.51957 0.647946 1.56978 1.80530 1.82900 1.86474 1.02040 -1.51532 -0.0280108 0.774934 2.17393 1.21220 0.799491 -2.19586 1.17345 -1.31519 0.136616 -4.92452 -2.97313 -5.28211 1.67773 5.41627e-06 -5.80594 0.439079
86: 2124.6685: 1.61391 1.81558 1.49892 2.34134 2.26670 2.28923 2.90367 2.45854 -0.735015 0.131335 -0.920579 -0.597911 -0.601020 -1.92317 -1.95940 -2.14408 -1.05119 -0.656711 -1.35275 -1.61157 -2.13233 7.06770 -0.0686594 -2.06438 2.29606 1.51945 0.647827 1.56967 1.80520 1.82889 1.86461 1.02029 -1.51551 -0.0281299 0.774852 2.17388 1.21219 0.799635 -2.19657 1.17513 -1.31531 0.136523 -4.92464 -2.97328 -5.28227 1.67778 1.07967e-06 -5.80587 0.439078
87: 2124.6685: 1.61391 1.81557 1.49891 2.34135 2.26672 2.28926 2.90368 2.45856 -0.734989 0.131352 -0.920553 -0.597905 -0.601008 -1.92308 -1.95930 -2.14398 -1.05118 -0.656640 -1.35299 -1.61098 -2.13223 7.54999 -0.0753537 -1.99465 2.29587 1.51927 0.647645 1.56950 1.80503 1.82873 1.86443 1.02012 -1.51558 -0.0283064 0.774724 2.17377 1.21209 0.799772 -2.19707 1.17596 -1.31546 0.136388 -4.92481 -2.97345 -5.28251 1.67779 -7.49699e-06 -5.80585 0.439078
88: 2124.6685: 1.61392 1.81557 1.49888 2.34137 2.26669 2.28922 2.90368 2.45852 -0.734988 0.131341 -0.920561 -0.597888 -0.601023 -1.92298 -1.95920 -2.14386 -1.05117 -0.656671 -1.35267 -1.61160 -2.13211 7.55646 -0.0544546 -1.99793 2.29586 1.51927 0.647632 1.56947 1.80501 1.82869 1.86441 1.02010 -1.51554 -0.0283108 0.774669 2.17352 1.21190 0.799884 -2.19687 1.17548 -1.31547 0.136575 -4.92476 -2.97349 -5.28225 1.67775 -6.48973e-07 -5.80585 0.439076
89: 2124.6684: 1.61393 1.81557 1.49889 2.34139 2.26670 2.28921 2.90368 2.45853 -0.734980 0.131361 -0.920532 -0.597901 -0.601011 -1.92297 -1.95919 -2.14385 -1.05115 -0.656644 -1.35259 -1.61162 -2.13210 7.91345 -0.0344155 -1.95116 2.29588 1.51929 0.647659 1.56949 1.80502 1.82871 1.86443 1.02011 -1.51568 -0.0282858 0.774690 2.17359 1.21194 0.799874 -2.19680 1.17513 -1.31549 0.136477 -4.92475 -2.97349 -5.28232 1.67778 -1.53895e-06 -5.80585 0.439077
90: 2124.6684: 1.61393 1.81557 1.49892 2.34138 2.26670 2.28919 2.90369 2.45854 -0.734988 0.131373 -0.920524 -0.597945 -0.601002 -1.92302 -1.95923 -2.14390 -1.05116 -0.656615 -1.35270 -1.61146 -2.13215 8.16505 -0.0181694 -1.91890 2.29591 1.51931 0.647690 1.56953 1.80505 1.82875 1.86447 1.02014 -1.51560 -0.0282526 0.774741 2.17371 1.21202 0.799786 -2.19668 1.17467 -1.31547 0.136419 -4.92476 -2.97345 -5.28241 1.67777 -2.47619e-07 -5.80588 0.439078
91: 2124.6684: 1.61393 1.81557 1.49897 2.34136 2.26671 2.28918 2.90369 2.45857 -0.735001 0.131396 -0.920511 -0.598019 -0.600984 -1.92315 -1.95938 -2.14406 -1.05117 -0.656571 -1.35290 -1.61113 -2.13231 8.41596 0.00882757 -1.88854 2.29601 1.51938 0.647782 1.56963 1.80512 1.82885 1.86456 1.02023 -1.51557 -0.0281648 0.774863 2.17401 1.21223 0.799613 -2.19639 1.17366 -1.31541 0.136248 -4.92475 -2.97335 -5.28263 1.67779 -1.64915e-06 -5.80593 0.439080
92: 2124.6684: 1.61393 1.81558 1.49902 2.34133 2.26669 2.28915 2.90368 2.45857 -0.735039 0.131393 -0.920544 -0.598114 -0.600986 -1.92328 -1.95951 -2.14421 -1.05123 -0.656559 -1.35308 -1.61113 -2.13246 8.72308 0.0534665 -1.85389 2.29609 1.51946 0.647861 1.56972 1.80521 1.82894 1.86466 1.02032 -1.51521 -0.0280798 0.774976 2.17416 1.21230 0.799458 -2.19581 1.17194 -1.31530 0.136311 -4.92471 -2.97324 -5.28263 1.67772 5.43786e-06 -5.80601 0.439080
93: 2124.6684: 1.61394 1.81559 1.49899 2.34135 2.26667 2.28914 2.90368 2.45854 -0.735030 0.131375 -0.920562 -0.598079 -0.600992 -1.92323 -1.95946 -2.14415 -1.05122 -0.656599 -1.35272 -1.61169 -2.13240 9.21631 0.0972896 -1.79617 2.29608 1.51948 0.647853 1.56970 1.80518 1.82890 1.86464 1.02030 -1.51520 -0.0280801 0.774930 2.17388 1.21211 0.799598 -2.19546 1.17109 -1.31531 0.136506 -4.92465 -2.97327 -5.28235 1.67769 7.87798e-06 -5.80602 0.439078
94: 2124.6683: 1.61395 1.81559 1.49897 2.34136 2.26670 2.28918 2.90368 2.45856 -0.735002 0.131385 -0.920527 -0.598026 -0.600976 -1.92324 -1.95947 -2.14415 -1.05117 -0.656597 -1.35261 -1.61151 -2.13241 9.19064 0.0977642 -1.80227 2.29609 1.51947 0.647853 1.56970 1.80514 1.82889 1.86461 1.02028 -1.51563 -0.0280939 0.774913 2.17394 1.21220 0.799680 -2.19564 1.17155 -1.31539 0.136305 -4.92469 -2.97332 -5.28252 1.67777 -3.19552e-06 -5.80597 0.439080
95: 2124.6683: 1.61394 1.81558 1.49897 2.34135 2.26670 2.28919 2.90367 2.45857 -0.735013 0.131377 -0.920544 -0.598041 -0.600983 -1.92319 -1.95942 -2.14410 -1.05120 -0.656599 -1.35284 -1.61137 -2.13235 9.48032 0.114012 -1.77093 2.29600 1.51938 0.647770 1.56962 1.80508 1.82882 1.86455 1.02021 -1.51557 -0.0281791 0.774870 2.17395 1.21215 0.799643 -2.19583 1.17187 -1.31544 0.136306 -4.92476 -2.97337 -5.28260 1.67775 -1.39155e-06 -5.80597 0.439079
96: 2124.6683: 1.61393 1.81558 1.49897 2.34135 2.26670 2.28920 2.90368 2.45856 -0.735008 0.131377 -0.920543 -0.598032 -0.600981 -1.92318 -1.95940 -2.14409 -1.05119 -0.656598 -1.35283 -1.61134 -2.13234 9.66125 0.120721 -1.75157 2.29598 1.51936 0.647749 1.56960 1.80507 1.82880 1.86452 1.02019 -1.51555 -0.0281978 0.774847 2.17391 1.21213 0.799620 -2.19592 1.17213 -1.31545 0.136315 -4.92478 -2.97338 -5.28260 1.67775 -1.64544e-06 -5.80597 0.439077
97: 2124.6683: 1.61393 1.81558 1.49896 2.34135 2.26669 2.28921 2.90368 2.45856 -0.735011 0.131372 -0.920554 -0.598031 -0.600986 -1.92314 -1.95936 -2.14404 -1.05120 -0.656603 -1.35292 -1.61131 -2.13230 9.84234 0.122029 -1.73269 2.29593 1.51932 0.647708 1.56956 1.80505 1.82877 1.86449 1.02016 -1.51546 -0.0282361 0.774819 2.17387 1.21208 0.799575 -2.19607 1.17256 -1.31545 0.136359 -4.92479 -2.97340 -5.28258 1.67773 8.53650e-07 -5.80597 0.439076
98: 2124.6683: 1.61392 1.81558 1.49895 2.34136 2.26670 2.28922 2.90369 2.45855 -0.734995 0.131371 -0.920559 -0.597997 -0.600987 -1.92304 -1.95926 -2.14394 -1.05120 -0.656604 -1.35307 -1.61114 -2.13219 10.4268 0.103561 -1.67334 2.29582 1.51923 0.647606 1.56947 1.80501 1.82869 1.86441 1.02010 -1.51522 -0.0283256 0.774725 2.17372 1.21198 0.799409 -2.19672 1.17453 -1.31546 0.136458 -4.92484 -2.97346 -5.28252 1.67771 4.55797e-06 -5.80595 0.439073
99: 2124.6683: 1.61392 1.81558 1.49896 2.34135 2.26668 2.28921 2.90369 2.45854 -0.735012 0.131359 -0.920592 -0.598006 -0.601006 -1.92295 -1.95917 -2.14384 -1.05124 -0.656616 -1.35330 -1.61115 -2.13209 10.4006 0.0702555 -1.67824 2.29573 1.51916 0.647522 1.56939 1.80499 1.82863 1.86435 1.02004 -1.51490 -0.0284017 0.774669 2.17364 1.21186 0.799320 -2.19705 1.17553 -1.31544 0.136613 -4.92486 -2.97348 -5.28242 1.67765 1.21959e-05 -5.80594 0.439070
100: 2124.6682: 1.61394 1.81559 1.49894 2.34140 2.26672 2.28921 2.90371 2.45856 -0.734946 0.131400 -0.920513 -0.597903 -0.600969 -1.92300 -1.95922 -2.14389 -1.05113 -0.656607 -1.35285 -1.61109 -2.13214 10.7011 0.0299752 -1.64970 2.29589 1.51930 0.647670 1.56952 1.80505 1.82875 1.86445 1.02014 -1.51549 -0.0282703 0.774737 2.17378 1.21207 0.799344 -2.19717 1.17630 -1.31545 0.136331 -4.92477 -2.97343 -5.28249 1.67780 -3.75414e-06 -5.80586 0.439077
101: 2124.6682: 1.61395 1.81559 1.49894 2.34139 2.26672 2.28920 2.90372 2.45856 -0.734953 0.131397 -0.920516 -0.597898 -0.600976 -1.92298 -1.95920 -2.14387 -1.05113 -0.656618 -1.35282 -1.61125 -2.13212 10.9980 -0.00630293 -1.62156 2.29593 1.51933 0.647702 1.56955 1.80509 1.82878 1.86449 1.02018 -1.51544 -0.0282393 0.774761 2.17380 1.21208 0.799393 -2.19713 1.17637 -1.31541 0.136389 -4.92472 -2.97340 -5.28240 1.67778 -1.01219e-06 -5.80586 0.439078
102: 2124.6682: 1.61396 1.81560 1.49894 2.34140 2.26673 2.28920 2.90371 2.45857 -0.734952 0.131405 -0.920487 -0.597897 -0.600968 -1.92307 -1.95930 -2.14398 -1.05110 -0.656610 -1.35259 -1.61137 -2.13223 11.2929 -0.0577418 -1.59498 2.29607 1.51945 0.647834 1.56967 1.80517 1.82889 1.86460 1.02028 -1.51562 -0.0281143 0.774854 2.17391 1.21222 0.799581 -2.19672 1.17531 -1.31536 0.136331 -4.92464 -2.97333 -5.28238 1.67781 -4.05140e-06 -5.80586 0.439081
103: 2124.6682: 1.61395 1.81560 1.49896 2.34137 2.26671 2.28920 2.90369 2.45857 -0.734995 0.131387 -0.920513 -0.597956 -0.600987 -1.92317 -1.95940 -2.14408 -1.05115 -0.656613 -1.35261 -1.61155 -2.13234 11.4928 -0.105032 -1.57857 2.29612 1.51950 0.647889 1.56973 1.80520 1.82893 1.86466 1.02032 -1.51562 -0.0280649 0.774922 2.17398 1.21225 0.799826 -2.19609 1.17332 -1.31533 0.136379 -4.92462 -2.97328 -5.28238 1.67778 -1.83266e-06 -5.80591 0.439082
104: 2124.6682: 1.61393 1.81560 1.49898 2.34134 2.26669 2.28921 2.90367 2.45856 -0.735036 0.131361 -0.920558 -0.598011 -0.601013 -1.92322 -1.95945 -2.14414 -1.05122 -0.656617 -1.35285 -1.61149 -2.13239 11.7899 -0.141224 -1.55219 2.29604 1.51942 0.647811 1.56966 1.80516 1.82887 1.86460 1.02026 -1.51543 -0.0281390 0.774889 2.17392 1.21216 0.799952 -2.19588 1.17237 -1.31535 0.136487 -4.92469 -2.97330 -5.28242 1.67772 2.64550e-06 -5.80596 0.439079
105: 2124.6682: 1.61392 1.81559 1.49897 2.34133 2.26669 2.28922 2.90366 2.45856 -0.735044 0.131348 -0.920575 -0.598018 -0.601021 -1.92325 -1.95948 -2.14417 -1.05124 -0.656621 -1.35294 -1.61136 -2.13242 11.9061 -0.143432 -1.54268 2.29596 1.51935 0.647735 1.56959 1.80509 1.82880 1.86453 1.02020 -1.51542 -0.0282120 0.774831 2.17382 1.21210 0.800009 -2.19589 1.17211 -1.31540 0.136496 -4.92478 -2.97335 -5.28250 1.67770 1.67560e-06 -5.80599 0.439077
106: 2124.6682: 1.61392 1.81558 1.49895 2.34132 2.26668 2.28925 2.90364 2.45855 -0.735037 0.131328 -0.920617 -0.597972 -0.601039 -1.92323 -1.95946 -2.14414 -1.05125 -0.656675 -1.35302 -1.61132 -2.13240 12.3710 -0.136339 -1.50413 2.29580 1.51920 0.647571 1.56943 1.80492 1.82863 1.86437 1.02003 -1.51569 -0.0283868 0.774702 2.17369 1.21194 0.800056 -2.19597 1.17201 -1.31557 0.136435 -4.92492 -2.97348 -5.28265 1.67771 -7.85332e-06 -5.80598 0.439075
107: 2124.6682: 1.61394 1.81558 1.49890 2.34136 2.26670 2.28924 2.90366 2.45855 -0.734961 0.131346 -0.920612 -0.597837 -0.601024 -1.92310 -1.95932 -2.14400 -1.05119 -0.656739 -1.35290 -1.61126 -2.13225 13.0072 -0.0318990 -1.45458 2.29563 1.51905 0.647402 1.56926 1.80474 1.82846 1.86419 1.01986 -1.51604 -0.0285624 0.774527 2.17349 1.21179 0.799775 -2.19659 1.17381 -1.31575 0.136291 -4.92504 -2.97363 -5.28276 1.67777 -2.15036e-05 -5.80592 0.439077
108: 2124.6682: 1.61394 1.81558 1.49891 2.34136 2.26670 2.28923 2.90367 2.45855 -0.734960 0.131353 -0.920599 -0.597845 -0.601018 -1.92310 -1.95933 -2.14400 -1.05118 -0.656725 -1.35288 -1.61126 -2.13226 13.1394 -0.0213436 -1.44400 2.29567 1.51908 0.647438 1.56930 1.80478 1.82849 1.86422 1.01990 -1.51597 -0.0285234 0.774553 2.17351 1.21182 0.799748 -2.19659 1.17389 -1.31571 0.136295 -4.92501 -2.97360 -5.28273 1.67777 -1.92412e-05 -5.80592 0.439079
109: 2124.6682: 1.61396 1.81560 1.49899 2.34139 2.26671 2.28915 2.90374 2.45857 -0.734964 0.131421 -0.920479 -0.597956 -0.600961 -1.92310 -1.95932 -2.14401 -1.05111 -0.656580 -1.35269 -1.61135 -2.13226 13.6793 0.0785392 -1.40332 2.29606 1.51944 0.647835 1.56968 1.80520 1.82891 1.86462 1.02030 -1.51531 -0.0280998 0.774877 2.17394 1.21221 0.799460 -2.19654 1.17457 -1.31532 0.136343 -4.92466 -2.97330 -5.28239 1.67776 3.19590e-06 -5.80593 0.439090
110: 2124.6682: 1.61396 1.81560 1.49901 2.34139 2.26671 2.28916 2.90374 2.45857 -0.734985 0.131428 -0.920465 -0.598014 -0.600953 -1.92310 -1.95933 -2.14401 -1.05112 -0.656536 -1.35270 -1.61141 -2.13226 13.6620 0.0912435 -1.40579 2.29618 1.51955 0.647956 1.56979 1.80532 1.82903 1.86474 1.02042 -1.51515 -0.0279748 0.774992 2.17409 1.21232 0.799451 -2.19637 1.17427 -1.31520 0.136404 -4.92454 -2.97321 -5.28229 1.67775 1.05233e-05 -5.80593 0.439085
111: 2124.6682: 1.61396 1.81560 1.49900 2.34138 2.26671 2.28917 2.90372 2.45857 -0.735002 0.131416 -0.920495 -0.598044 -0.600962 -1.92308 -1.95930 -2.14399 -1.05117 -0.656536 -1.35279 -1.61148 -2.13224 13.8416 0.102397 -1.39247 2.29618 1.51955 0.647951 1.56979 1.80531 1.82902 1.86473 1.02040 -1.51522 -0.0279874 0.775014 2.17413 1.21229 0.799479 -2.19620 1.17373 -1.31521 0.136452 -4.92453 -2.97322 -5.28229 1.67774 1.12035e-05 -5.80592 0.439077
112: 2124.6682: 1.61395 1.81560 1.49899 2.34137 2.26670 2.28919 2.90369 2.45857 -0.735013 0.131394 -0.920529 -0.598062 -0.600970 -1.92310 -1.95933 -2.14401 -1.05120 -0.656544 -1.35284 -1.61144 -2.13226 14.1652 0.115663 -1.36877 2.29612 1.51951 0.647892 1.56974 1.80524 1.82895 1.86467 1.02034 -1.51529 -0.0280485 0.774978 2.17404 1.21222 0.799579 -2.19597 1.17284 -1.31527 0.136499 -4.92459 -2.97327 -5.28235 1.67773 1.02572e-05 -5.80594 0.439072
113: 2124.6682: 1.61394 1.81559 1.49896 2.34135 2.26668 2.28922 2.90365 2.45856 -0.735031 0.131355 -0.920602 -0.598052 -0.601001 -1.92312 -1.95935 -2.14402 -1.05127 -0.656602 -1.35301 -1.61143 -2.13228 14.4221 0.0982295 -1.35062 2.29594 1.51934 0.647708 1.56956 1.80504 1.82876 1.86449 1.02015 -1.51556 -0.0282461 0.774851 2.17387 1.21202 0.799746 -2.19577 1.17175 -1.31545 0.136502 -4.92475 -2.97341 -5.28253 1.67771 1.46461e-06 -5.80596 0.439066
114: 2124.6681: 1.61393 1.81558 1.49892 2.34132 2.26667 2.28925 2.90361 2.45854 -0.735033 0.131312 -0.920671 -0.597996 -0.601040 -1.92319 -1.95942 -2.14409 -1.05131 -0.656688 -1.35312 -1.61132 -2.13235 14.6507 0.0374031 -1.33549 2.29567 1.51910 0.647445 1.56932 1.80477 1.82849 1.86423 1.01989 -1.51587 -0.0285188 0.774630 2.17355 1.21178 0.800004 -2.19566 1.17073 -1.31570 0.136466 -4.92502 -2.97359 -5.28279 1.67770 -1.17589e-05 -5.80601 0.439064
115: 2124.6681: 1.61393 1.81558 1.49893 2.34132 2.26667 2.28924 2.90362 2.45854 -0.735029 0.131317 -0.920657 -0.597976 -0.601046 -1.92323 -1.95946 -2.14413 -1.05129 -0.656699 -1.35309 -1.61128 -2.13239 14.9736 0.0110002 -1.31318 2.29564 1.51907 0.647419 1.56929 1.80475 1.82847 1.86421 1.01987 -1.51584 -0.0285410 0.774594 2.17350 1.21177 0.800048 -2.19572 1.17081 -1.31572 0.136419 -4.92506 -2.97360 -5.28283 1.67769 -1.40164e-05 -5.80603 0.439069
116: 2124.6681: 1.61394 1.81559 1.49898 2.34134 2.26669 2.28919 2.90368 2.45856 -0.735009 0.131369 -0.920574 -0.597948 -0.601027 -1.92322 -1.95945 -2.14414 -1.05120 -0.656667 -1.35296 -1.61134 -2.13239 15.4418 -0.0570735 -1.28230 2.29580 1.51920 0.647580 1.56944 1.80494 1.82865 1.86438 1.02005 -1.51560 -0.0283713 0.774698 2.17374 1.21195 0.799894 -2.19614 1.17248 -1.31556 0.136327 -4.92492 -2.97345 -5.28267 1.67771 -1.04103e-05 -5.80599 0.439082
117: 2124.6681: 1.61395 1.81560 1.49901 2.34138 2.26671 2.28917 2.90373 2.45857 -0.734985 0.131417 -0.920484 -0.597956 -0.600982 -1.92317 -1.95939 -2.14409 -1.05112 -0.656588 -1.35274 -1.61137 -2.13234 15.5282 -0.0796026 -1.27795 2.29607 1.51944 0.647843 1.56969 1.80521 1.82892 1.86464 1.02031 -1.51529 -0.0280941 0.774884 2.17396 1.21224 0.799664 -2.19645 1.17419 -1.31531 0.136359 -4.92467 -2.97327 -5.28239 1.67774 2.40078e-06 -5.80594 0.439086
118: 2124.6681: 1.61397 1.81562 1.49901 2.34141 2.26673 2.28918 2.90374 2.45858 -0.734973 0.131441 -0.920439 -0.597991 -0.600942 -1.92309 -1.95931 -2.14400 -1.05110 -0.656513 -1.35261 -1.61141 -2.13225 15.9438 -0.0827660 -1.25058 2.29629 1.51966 0.648065 1.56990 1.80544 1.82914 1.86484 1.02052 -1.51512 -0.0278654 0.775062 2.17415 1.21246 0.799475 -2.19654 1.17519 -1.31510 0.136472 -4.92444 -2.97314 -5.28214 1.67777 1.56114e-05 -5.80588 0.439081
119: 2124.6681: 1.61396 1.81561 1.49899 2.34140 2.26672 2.28919 2.90373 2.45858 -0.734977 0.131425 -0.920470 -0.598003 -0.600941 -1.92304 -1.95926 -2.14394 -1.05113 -0.656521 -1.35268 -1.61140 -2.13219 16.1126 -0.0603093 -1.23996 2.29624 1.51962 0.648012 1.56985 1.80537 1.82908 1.86479 1.02046 -1.51524 -0.0279260 0.775045 2.17415 1.21235 0.799442 -2.19648 1.17496 -1.31516 0.136484 -4.92446 -2.97319 -5.28220 1.67778 1.24736e-05 -5.80587 0.439078
120: 2124.6681: 1.61395 1.81559 1.49891 2.34137 2.26669 2.28923 2.90366 2.45855 -0.734990 0.131355 -0.920576 -0.598001 -0.600976 -1.92302 -1.95924 -2.14390 -1.05123 -0.656603 -1.35291 -1.61128 -2.13216 16.5313 0.0447074 -1.21484 2.29588 1.51930 0.647652 1.56951 1.80497 1.82869 1.86442 1.02009 -1.51566 -0.0282993 0.774780 2.17375 1.21200 0.799609 -2.19617 1.17305 -1.31552 0.136431 -4.92478 -2.97348 -5.28259 1.67777 -1.92678e-06 -5.80593 0.439071
121: 2124.6681: 1.61395 1.81559 1.49892 2.34137 2.26670 2.28922 2.90366 2.45855 -0.734989 0.131359 -0.920568 -0.597994 -0.600978 -1.92304 -1.95926 -2.14392 -1.05122 -0.656605 -1.35289 -1.61128 -2.13218 16.7294 0.0508704 -1.20252 2.29588 1.51929 0.647647 1.56950 1.80497 1.82869 1.86442 1.02009 -1.51564 -0.0283021 0.774767 2.17373 1.21200 0.799627 -2.19620 1.17307 -1.31552 0.136416 -4.92480 -2.97348 -5.28260 1.67776 -2.09146e-06 -5.80594 0.439073
122: 2124.6681: 1.61394 1.81559 1.49896 2.34137 2.26670 2.28920 2.90369 2.45856 -0.734994 0.131378 -0.920546 -0.597969 -0.600993 -1.92312 -1.95934 -2.14402 -1.05118 -0.656620 -1.35286 -1.61134 -2.13228 17.1258 0.0551705 -1.17880 2.29590 1.51929 0.647665 1.56952 1.80501 1.82873 1.86445 1.02012 -1.51557 -0.0282827 0.774771 2.17385 1.21196 0.799684 -2.19629 1.17328 -1.31549 0.136372 -4.92481 -2.97342 -5.28258 1.67774 -5.47827e-06 -5.80595 0.439079
123: 2124.6681: 1.61395 1.81560 1.49903 2.34137 2.26671 2.28917 2.90372 2.45858 -0.734994 0.131414 -0.920506 -0.597932 -0.601006 -1.92324 -1.95947 -2.14417 -1.05113 -0.656626 -1.35278 -1.61142 -2.13242 17.4679 0.0341866 -1.15934 2.29598 1.51935 0.647760 1.56961 1.80514 1.82885 1.86456 1.02024 -1.51538 -0.0281814 0.774816 2.17394 1.21210 0.799748 -2.19640 1.17371 -1.31538 0.136334 -4.92477 -2.97330 -5.28246 1.67771 -4.14703e-06 -5.80596 0.439086
124: 2124.6681: 1.61396 1.81561 1.49903 2.34137 2.26671 2.28917 2.90372 2.45858 -0.734985 0.131418 -0.920514 -0.597927 -0.600999 -1.92324 -1.95947 -2.14417 -1.05113 -0.656623 -1.35278 -1.61141 -2.13242 17.8637 0.0105433 -1.13703 2.29603 1.51941 0.647810 1.56966 1.80519 1.82889 1.86461 1.02028 -1.51534 -0.0281324 0.774862 2.17394 1.21219 0.799722 -2.19632 1.17373 -1.31533 0.136389 -4.92471 -2.97327 -5.28238 1.67771 -1.42317e-06 -5.80596 0.439084
125: 2124.6681: 1.61395 1.81561 1.49902 2.34137 2.26671 2.28917 2.90372 2.45858 -0.734985 0.131415 -0.920515 -0.597934 -0.600995 -1.92322 -1.95945 -2.14415 -1.05114 -0.656618 -1.35279 -1.61140 -2.13240 17.9914 0.00239098 -1.13009 2.29603 1.51941 0.647810 1.56966 1.80519 1.82889 1.86461 1.02028 -1.51535 -0.0281327 0.774868 2.17396 1.21217 0.799722 -2.19629 1.17368 -1.31533 0.136399 -4.92471 -2.97328 -5.28239 1.67772 -1.34919e-06 -5.80595 0.439083
126: 2124.6681: 1.61395 1.81560 1.49897 2.34138 2.26670 2.28920 2.90369 2.45856 -0.734990 0.131388 -0.920536 -0.597975 -0.600984 -1.92313 -1.95935 -2.14403 -1.05118 -0.656601 -1.35284 -1.61135 -2.13229 18.3109 -0.00808028 -1.11277 2.29598 1.51938 0.647758 1.56961 1.80511 1.82882 1.86454 1.02021 -1.51545 -0.0281859 0.774839 2.17382 1.21218 0.799675 -2.19622 1.17336 -1.31540 0.136408 -4.92473 -2.97336 -5.28246 1.67773 1.74401e-06 -5.80595 0.439078
127: 2124.6681: 1.61395 1.81560 1.49897 2.34137 2.26670 2.28919 2.90369 2.45856 -0.734991 0.131389 -0.920532 -0.597976 -0.600985 -1.92313 -1.95936 -2.14404 -1.05117 -0.656600 -1.35282 -1.61134 -2.13229 18.3142 -0.00465311 -1.11277 2.29598 1.51937 0.647749 1.56960 1.80510 1.82881 1.86454 1.02021 -1.51546 -0.0281944 0.774836 2.17389 1.21207 0.799683 -2.19625 1.17340 -1.31541 0.136420 -4.92473 -2.97336 -5.28248 1.67774 -5.01177e-07 -5.80595 0.439078
0: 2124.6681: 1.61395 1.81560 1.49897 2.34137 2.26670 2.28919 2.90369 2.45856 -0.734991 0.131389 -0.920532 -0.597976 -0.600985 -1.92313 -1.95936 -2.14404 -1.05117 -0.656600 -1.35282 -1.61134 -2.13229 18.3142 -0.00465311 -1.11277 2.29598 1.51937 0.647749 1.56960 1.80510 1.82881 1.86454 1.02021 -1.51546 -0.0281944 0.774836 2.17389 1.21207 0.799683 -2.19625 1.17340 -1.31541 0.136420 -4.92473 -2.97336 -5.28248 1.67774 -5.01177e-07 -5.80595 0.439078
1: 2124.6681: 1.61395 1.81560 1.49897 2.34137 2.26670 2.28919 2.90369 2.45856 -0.734991 0.131389 -0.920532 -0.597976 -0.600985 -1.92313 -1.95936 -2.14404 -1.05117 -0.656600 -1.35282 -1.61134 -2.13229 18.3142 -0.00465311 -1.11277 2.29598 1.51937 0.647749 1.56960 1.80510 1.82881 1.86454 1.02021 -1.51546 -0.0281944 0.774836 2.17389 1.21207 0.799683 -2.19625 1.17340 -1.31541 0.136420 -4.92473 -2.97336 -5.28248 1.67774 -5.01177e-07 -5.80595 0.439078
Check bounds for the following parameters:
Param starting_value Lower MLE Upper final_gradient
24 logkappa1 -0.1053605 -6.397277 -1.112772 -1.112772 -0.0005235711
The following parameters appear to be approaching zero:
Param starting_value Lower MLE Upper final_gradient
47 L_epsilon2_z 1 -Inf -5.011771e-07 Inf -1.052103e-05
Please turn off factor-model variance parameters `L_` that are approaching zero and re-run the model
Error: Please change model structure to avoid problems with parameter estimates and then re-try; see details in `?check_fit`
In addition: Warning messages:
1: In sparseMatrix(i = index.i, j = index.j, x = Aij, dims = c(mesh$n, :
'giveCsparse' has been deprecated; setting 'repr = "T"' for you
2: In sparseMatrix(i = index.i, j = index.j, x = Aij, dims = c(mesh$n, :
'giveCsparse' has been deprecated; setting 'repr = "T"' for you
3: In sparseMatrix(i = index.i, j = index.j, x = Aij, dims = c(mesh$n, :
'giveCsparse' has been deprecated; setting 'repr = "T"' for you
Crashes with error: Error: Please change model structure to avoid problems with parameter estimates and then re-try; see details in ?check_fit
There is no file output when it stops with parameters at bounds or 0.
Tried spring data with everything on at first and 1000 knots. Ran more iterations but still unable to finish. Settings:
settings = make_settings( n_x = 1000,
Region = "northwest_atlantic",
strata.limits = list('All_areas' = 1:1e5),
purpose = "index2",
bias.correct = FALSE,
#use_anisotropy = FALSE,
#fine_scale = FALSE,
FieldConfig = c(Omega1 = "IID",
Epsilon1 = "IID",
Omega2 = "IID",
Epsilon2 = "IID")and results:
Check bounds for the following parameters:
Param starting_value Lower MLE Upper final_gradient
2 ln_H_input 0.0000000 -5.000000 -5.000000 5.000000 0.112599280
20 logkappa1 -0.1053605 -6.397277 -1.112772 -1.112772 -0.003133263
38 logkappa2 -0.1053605 -6.397277 -6.397277 -1.112772 0.916661889
The following parameters appear to be approaching zero:
Param starting_value Lower MLE Upper final_gradient
19 L_epsilon1_z 1 -Inf 2.614913e-05 Inf 9.785198e-08
37 L_epsilon2_z 1 -Inf 2.112385e-08 Inf 1.336896e-06
Please turn off factor-model variance parameters `L_` that are approaching zero and re-run the model
turn off anistropy, spring settings:
settings = make_settings( n_x = 1000,
Region = "northwest_atlantic",
strata.limits = list('All_areas' = 1:1e5),
purpose = "index2",
bias.correct = FALSE,
use_anisotropy = FALSE,
#fine_scale = FALSE,
FieldConfig = c(Omega1 = "IID",
Epsilon1 = "IID",
Omega2 = "IID",
Epsilon2 = "IID")
)
and results:
Check bounds for the following parameters:
Param starting_value Lower MLE Upper final_gradient
18 logkappa1 -0.1053605 -6.397277 -1.112772 -1.112772 -0.0003071745
36 logkappa2 -0.1053605 -6.397277 -6.397277 -1.112772 0.1456314221
The following parameters appear to be approaching zero:
Param starting_value Lower MLE Upper final_gradient
35 L_epsilon2_z 1 -Inf -1.438294e-07 Inf -9.645067e-06
Please turn off factor-model variance parameters `L_` that are approaching zero and re-run the model