Pelegant different method
Moderators: cyao, michael_borland
Pelegant different method
Hi all
I used to use pelegant swarm methid with good perfromance, then I did not use it for quite a while. Recently I tried to revamp its use
and discover is does not seem to perform "well". First it seems slow, though I am not sure why. While tryin gto understand this I
I have checked what happened to the optimisation in detail, by producing a .pop file. I am not sure how the algorithm decides to explore the parameter space, but I would (naively?) expect that the first Iteration to show the initial set of parameters that I report as they are defined in the initial .ele file:
QF1.K1=10.88276774989837
QD2.K1=7.315554101093658
QD3.K1=2.407047680721831
QD5.K1=3.363573753454292
QD3_C1.K1=2.135539196713849
QD2_C1.K1=3.147417816351427
QF1_C1.K1=3.719331603907359
QUAD_ADD.K1=6.409263674781201
QF4.K1=4.698648
QF4L.K1=4.698648
QF4_C1.K1=4.6371
QF6.K1=8.217015999999999
QF8.K1=6.262614
DL1A_5.K1=0.108016
DL1A_4.K1=0.108016
DL1A_3.K1=0.108016
DL1A_2.K1=0.108016
DL1A_1.K1=0.108016
DL2A_5.K1=0.573710
DL2A_4.K1=0.573710
DL2A_3.K1=0.573710
DL2A_2.K1=0.573710
DL2A_1.K1=0.573710
This is the 1st Itersation from swarm_temp.pop
SVNVersion = unknown Iteration = 1 ElapsedTime (s) = 3.800000e+01
ElapsedCoreTime (s) = 4.560000e+03 OptimizationValue = 7.014354e+11 WorstOptimizationValue = 1.797693e+308
MedianOptimizationValue = 1.797693e+308 AverageOptimizationValue = inf OptimizationValueSpread = 1.088277e+01
QF1.K1 (1/M$a2$n) = 7.315554e+00 QD2.K1 (1/M$a2$n) = 2.407048e+00 QD3.K1 (1/M$a2$n) = 3.363574e+00
QD5.K1 (1/M$a2$n) = 2.135539e+00 QD3_C1.K1 (1/M$a2$n) = 3.147418e+00 QD2_C1.K1 (1/M$a2$n) = 3.719332e+00
QF1_C1.K1 (1/M$a2$n) = 6.409264e+00 QUAD_ADD.K1 (1/M$a2$n) = 4.698648e+00 QF4.K1 (1/M$a2$n) = 4.698648e+00
QF4L.K1 (1/M$a2$n) = 4.637100e+00 QF4_C1.K1 (1/M$a2$n) = 8.217016e+00 QF6.K1 (1/M$a2$n) = 6.262614e+00
QF8.K1 (1/M$a2$n) = 1.080160e01 DL1A_5.K1 (1/M$a2$n) = 1.080160e01 DL1A_4.K1 (1/M$a2$n) = 1.080160e01
DL1A_3.K1 (1/M$a2$n) = 1.080160e01 DL1A_2.K1 (1/M$a2$n) = 1.080160e01 DL1A_1.K1 (1/M$a2$n) = 5.737100e01
DL2A_5.K1 (1/M$a2$n) = 5.737100e01 DL2A_4.K1 (1/M$a2$n) = 5.737100e01 DL2A_3.K1 (1/M$a2$n) = 5.737100e01
DL2A_2.K1 (1/M$a2$n) = 5.737100e01 DL2A_1.K1 (1/M$a2$n) = 0.000000e+00
This is full info and it is complicate to read, so let me compare the first five parameters:
from ele file ............................. /// .......... 1st iteration of parallel optimisation (swarm)
QF1.K1=10.88276774989837 .......... /// .......... QF1.K1 (1/M$a2$n) = 7.315554e+00
QD2.K1=7.31555410109365 .......... /// .......... QD2.K1 (1/M$a2$n) = 2.407048e+00
QD3.K1=2.40704768072183 .......... /// .......... QD3.K1 (1/M$a2$n) = 3.363574e+00
QD5.K1=3.36357375345429 .......... /// .......... QD5.K1 (1/M$a2$n) = 2.135539e+00
QD3_C1.K1=2.13553919671 .......... /// .......... QD3_C1.K1 (1/M$a2$n) = 3.147418e+00
...
You can see that the 1st parameter in the optimisation process (QF1.K1) is a COPY of the second parameter in the
original file (QD2.K1). The second parameter in the optimisation (QD2.K1) is also a copy of the third one in the
original file (QD3.K1), and so on. I find it hard to believe this is a search strategy, because we inevitably break the
parameter interval specified in the ele file. The clear case here is assigning a negative gradient to the 1st focusing quadrupole.
So ... I am quite puzzled.
Thanks for any clue
Marco
I used to use pelegant swarm methid with good perfromance, then I did not use it for quite a while. Recently I tried to revamp its use
and discover is does not seem to perform "well". First it seems slow, though I am not sure why. While tryin gto understand this I
I have checked what happened to the optimisation in detail, by producing a .pop file. I am not sure how the algorithm decides to explore the parameter space, but I would (naively?) expect that the first Iteration to show the initial set of parameters that I report as they are defined in the initial .ele file:
QF1.K1=10.88276774989837
QD2.K1=7.315554101093658
QD3.K1=2.407047680721831
QD5.K1=3.363573753454292
QD3_C1.K1=2.135539196713849
QD2_C1.K1=3.147417816351427
QF1_C1.K1=3.719331603907359
QUAD_ADD.K1=6.409263674781201
QF4.K1=4.698648
QF4L.K1=4.698648
QF4_C1.K1=4.6371
QF6.K1=8.217015999999999
QF8.K1=6.262614
DL1A_5.K1=0.108016
DL1A_4.K1=0.108016
DL1A_3.K1=0.108016
DL1A_2.K1=0.108016
DL1A_1.K1=0.108016
DL2A_5.K1=0.573710
DL2A_4.K1=0.573710
DL2A_3.K1=0.573710
DL2A_2.K1=0.573710
DL2A_1.K1=0.573710
This is the 1st Itersation from swarm_temp.pop
SVNVersion = unknown Iteration = 1 ElapsedTime (s) = 3.800000e+01
ElapsedCoreTime (s) = 4.560000e+03 OptimizationValue = 7.014354e+11 WorstOptimizationValue = 1.797693e+308
MedianOptimizationValue = 1.797693e+308 AverageOptimizationValue = inf OptimizationValueSpread = 1.088277e+01
QF1.K1 (1/M$a2$n) = 7.315554e+00 QD2.K1 (1/M$a2$n) = 2.407048e+00 QD3.K1 (1/M$a2$n) = 3.363574e+00
QD5.K1 (1/M$a2$n) = 2.135539e+00 QD3_C1.K1 (1/M$a2$n) = 3.147418e+00 QD2_C1.K1 (1/M$a2$n) = 3.719332e+00
QF1_C1.K1 (1/M$a2$n) = 6.409264e+00 QUAD_ADD.K1 (1/M$a2$n) = 4.698648e+00 QF4.K1 (1/M$a2$n) = 4.698648e+00
QF4L.K1 (1/M$a2$n) = 4.637100e+00 QF4_C1.K1 (1/M$a2$n) = 8.217016e+00 QF6.K1 (1/M$a2$n) = 6.262614e+00
QF8.K1 (1/M$a2$n) = 1.080160e01 DL1A_5.K1 (1/M$a2$n) = 1.080160e01 DL1A_4.K1 (1/M$a2$n) = 1.080160e01
DL1A_3.K1 (1/M$a2$n) = 1.080160e01 DL1A_2.K1 (1/M$a2$n) = 1.080160e01 DL1A_1.K1 (1/M$a2$n) = 5.737100e01
DL2A_5.K1 (1/M$a2$n) = 5.737100e01 DL2A_4.K1 (1/M$a2$n) = 5.737100e01 DL2A_3.K1 (1/M$a2$n) = 5.737100e01
DL2A_2.K1 (1/M$a2$n) = 5.737100e01 DL2A_1.K1 (1/M$a2$n) = 0.000000e+00
This is full info and it is complicate to read, so let me compare the first five parameters:
from ele file ............................. /// .......... 1st iteration of parallel optimisation (swarm)
QF1.K1=10.88276774989837 .......... /// .......... QF1.K1 (1/M$a2$n) = 7.315554e+00
QD2.K1=7.31555410109365 .......... /// .......... QD2.K1 (1/M$a2$n) = 2.407048e+00
QD3.K1=2.40704768072183 .......... /// .......... QD3.K1 (1/M$a2$n) = 3.363574e+00
QD5.K1=3.36357375345429 .......... /// .......... QD5.K1 (1/M$a2$n) = 2.135539e+00
QD3_C1.K1=2.13553919671 .......... /// .......... QD3_C1.K1 (1/M$a2$n) = 3.147418e+00
...
You can see that the 1st parameter in the optimisation process (QF1.K1) is a COPY of the second parameter in the
original file (QD2.K1). The second parameter in the optimisation (QD2.K1) is also a copy of the third one in the
original file (QD3.K1), and so on. I find it hard to believe this is a search strategy, because we inevitably break the
parameter interval specified in the ele file. The clear case here is assigning a negative gradient to the 1st focusing quadrupole.
So ... I am quite puzzled.
Thanks for any clue
Marco

 Posts: 1796
 Joined: 19 May 2008, 09:33
 Location: Argonne National Laboratory
 Contact:
Re: Pelegant different method
Marco,
Sorry for the long delay in responding.
That may happen when the swarm gets into local minimum and can't find its way out. I've found that by optimizing more gently at first, then tightening down the requirements, this can sometimes be avoided. See the attached example.
Michael
Sorry for the long delay in responding.
That may happen when the swarm gets into local minimum and can't find its way out. I've found that by optimizing more gently at first, then tightening down the requirements, this can sometimes be avoided. See the attached example.
Michael
 Attachments

 swarmOptimizer.zip
 (3.97 KiB) Downloaded 229 times
Re: Pelegant different method
Hi Michael
sorry too for my belated answer. Only few days ago I went back to this,
The example you sent me was very helpful, if only to check against a working case.
From there I was able to understand why my code was "wrong": it was slow because I was demanding a large subdivision of element and also some
higher order calculation in the twiss_output case. Once this was correct, the swarm optimisation was running as fast as I recalled.
The only point I still notice is in *.pop the order in the parameters is still strange, this contributed to my doubts about the overall procedure.
Despite what *.pop says, the final has the optimised params in the right place.
Taking the example you gave to me, just consider the 1st optimisation:
Last line of runOpt1.pop
Q1.K1 (1/M$a2$n) = 5.987128e01 Q2.K1 (1/M$a2$n) = 1.408717e+00 Q3.K1 (1/M$a2$n) = 1.719526e+00
Q4.K1 (1/M$a2$n) = 0.000000e+00
Checking runOpt1.param
Q1.K1 = 4.127076e01
Q2.K1 = 5.987128e01
Q3.K1 = 1.408717e+00
Q4.K1 = 1.719526e+00
As you can see, the content of pop is not "aligned" with the .param content. Unless I am checking the wrong things, this might
be worth some investigation from your side (pending priorities)
Thanks very much again!
Marco
sorry too for my belated answer. Only few days ago I went back to this,
The example you sent me was very helpful, if only to check against a working case.
From there I was able to understand why my code was "wrong": it was slow because I was demanding a large subdivision of element and also some
higher order calculation in the twiss_output case. Once this was correct, the swarm optimisation was running as fast as I recalled.
The only point I still notice is in *.pop the order in the parameters is still strange, this contributed to my doubts about the overall procedure.
Despite what *.pop says, the final has the optimised params in the right place.
Taking the example you gave to me, just consider the 1st optimisation:
Last line of runOpt1.pop
Q1.K1 (1/M$a2$n) = 5.987128e01 Q2.K1 (1/M$a2$n) = 1.408717e+00 Q3.K1 (1/M$a2$n) = 1.719526e+00
Q4.K1 (1/M$a2$n) = 0.000000e+00
Checking runOpt1.param
Q1.K1 = 4.127076e01
Q2.K1 = 5.987128e01
Q3.K1 = 1.408717e+00
Q4.K1 = 1.719526e+00
As you can see, the content of pop is not "aligned" with the .param content. Unless I am checking the wrong things, this might
be worth some investigation from your side (pending priorities)
Thanks very much again!
Marco
Re: Pelegant different method
I have another question on this topics, which is a bit urgent in a way
I am optimizing a lattice using the swarm optimizer in parallel mode
In the case under study I do change gradients K1 and bending angles
In the optimisation I can check mpipelegant.o<run_number> and see changes of ANGLEs happen
...
Initial value for QF4.ANGLE is 2.109200e03
Initial value for DL1A_5.ANGLE is 1.633299e02
Initial value for DL2A_5.ANGLE is 1.550124e02
Starting particle swarm optimization.
...
Optimum values of variables and changes from initial values:
QF4.ANGLE: 2.361620555403833e03 2.524205554038329e04
DL1A_5.ANGLE: 1.632666715671888e02 6.318659781123781e06
DL2A_5.ANGLE: 1.550745852681502e02 6.221960115022906e06
So the optimiser seems to do the job,
But at the end of it all, when I issue
&save_lattice
&end
and I'd expect to have the new values saved in the *.new lattice, I get
QF4: CSBEND,L=0.15,ANGLE=0.0021092,K1=4.366428205906299
so the ANGLE value for element QF4 has not been saved
this is my ele file:
÷_elements
name = *,
type = edrift,
exclude = NULL,
divisions = 0,
maximum_length = 0.05,
clear = 0,
&end
&run_setup
lattice = MH6BA20111_M36_QF4_QF6_QF8_AB_match7.lte,
use_beamline = RINGRF,
default_order = 3,
concat_order = 1,
random_number_seed = 1,
wrap_around = 1,
p_central_mev = 3500,
parameters = %s.paramOpt,
magnets = %s.mag,
losses = %s.lost
semaphore_file = %s.done
final = %s.finOpt
&end
&run_control
n_steps = 1,
n_indices = 0,
n_passes = 1
reset_rf_for_each_step = 1
first_is_fiducial = 0
restrict_fiducialization = 0
&end
&twiss_output
filename = %s.twi,
radiation_integrals = 1,
matched = 1,
output_at_each_step = 1,
concat_order = 1
higher_order_chromaticity = 0
higher_order_chromaticity_range = 0.0002
chromatic_tune_spread_half_range = 0
compute_driving_terms = 1
leading_order_driving_terms_only = 1
beta_x = 1
beta_y = 1
alpha_x = 0
alpha_y = 0
eta_x = 0
etap_x = 0
&end
¶llel_optimization_setup
method = "swarm",
hybrid_simplex_tolerance = 1e14,
n_passes = 3,
verbose = 0,
target = 1e12,
mode = "minimize",
n_evaluations = 1500,
n_restarts = 15,
random_factor = 1,
n_iterations = 1500,
population_size = 240,
population_log = %s.pop,
&end
&optimization_term term = "ex0 1.55e10 1e12 segt 1e4 *" &end
&optimization_term term = "nux 58.2 0.2 sene 1e4 *" &end
&optimization_term term = "nuy 18.4 0.2 sene 1e4 *" &end
&optimization_term term = "FPLS#1.alphax 0 0.001 sene 2000 *" &end
&optimization_term term = "FPLS#1.alphay 0 0.001 sene 2000 *" &end
&optimization_term term = "FPSS#1.alphax 0 0.001 sene 2000 *" &end
&optimization_term term = "FPSS#1.alphay 0 0.001 sene 2000 *" &end
&optimization_term term = "FPMS#1.alphax 0 0.001 sene 2000 *" &end
&optimization_term term = "FPMS#1.alphay 0 0.001 sene 2000 *" &end
&optimization_term term = "FPMS#1.etax 0.025 0.001 segt 20000 *" &end
&optimization_term term = "FPMS#1.etax 0.005 0.001 selt 20000 *" &end
&optimization_term term = "FPBUMP#1.etax 0.0725 0.0005 selt 20000 *" &end
&optimization_term term = "FPBUMP#2.etax 0.0725 0.0005 selt 20000 *" &end
&optimization_term term = "FPLS#1.etax 0 0.00025 sene 20000 *" &end
&optimization_term term = "FPSS#1.etax 0 0.00025 sene 20000 *" &end
&optimization_term term = "FPLS#1.etaxp 0 0.00002 sene 2000 *" &end
&optimization_term term = "FPSS#1.etaxp 0 0.00002 sene 2000 *" &end
&optimization_term term = "FPMS#1.etaxp 0 0.00002 sene 2000 *" &end
&optimization_term term = "max.betax 30 0.0001 segt 2000 *" &end
&optimization_term term = "max.betay 30 0.0001 segt 2000 *" &end
&optimization_term term = "FPLS#1.betax 20 0.0001 segt 2000 *" &end
&optimization_term term = "FPLS#1.betax 4 0.0001 selt 2000 *" &end
&optimization_term term = "FPLS#1.betay 10 0.0001 segt 2000 *" &end
&optimization_term term = "FPLS#1.betay 0 0.0001 selt 2000 *" &end
&optimization_term term = "FPSS#1.betax 9 0.0001 segt 2000 *" &end
&optimization_term term = "FPSS#1.betax 1.5 0.0001 selt 2000 *" &end
&optimization_term term = "FPSS#1.betay 4 0.0001 segt 2000 *" &end
&optimization_term term = "FPSS#1.betay 0.5 0.0001 selt 2000 *" &end
&optimization_term term = "FPMS#1.betax 9 0.0001 segt 2000 *" &end
&optimization_term term = "FPMS#1.betax 1 0.0001 selt 2000 *" &end
&optimization_term term = "FPMS#1.betay 4 0.0001 segt 2000 *" &end
&optimization_term term = "FPMS#1.betay 1.5 0.0001 selt 2000 *" &end
&optimization_variable name=QF4, item=ANGLE, lower_limit=0.0041092, upper_limit=0.0001092, step_size=1 &end
&optimization_covariable name=QF4L, item=ANGLE, equation=QF4.ANGLE &end
&optimization_covariable name=QF4_C1, item=ANGLE, equation=QF4.ANGLE &end
&optimization_variable name=DL1A_5, item=ANGLE, lower_limit=0.014333, upper_limit=0.018333, step_size=1 &end
&optimization_covariable name=DL1A_4, item=ANGLE, equation=" DL1A_4.ANGLE0 DL1A_5.ANGLE + DL1A_5.ANGLE0 " &end
&optimization_covariable name=DL1A_3, item=ANGLE, equation=" DL1A_3.ANGLE0 DL1A_5.ANGLE + DL1A_5.ANGLE0 " &end
&optimization_covariable name=DL1A_2, item=ANGLE, equation=" DL1A_2.ANGLE0 DL1A_5.ANGLE + DL1A_5.ANGLE0 " &end
&optimization_covariable name=DL1A_1, item=ANGLE, equation=" DL1A_1.ANGLE0 DL1A_5.ANGLE + DL1A_5.ANGLE0 " &end
&optimization_variable name=DL2A_5, item=ANGLE, lower_limit=0.013501, upper_limit=0.017501, step_size=1 &end
&optimization_covariable name=DL2A_4, item=ANGLE, equation=" DL2A_4.ANGLE0 DL2A_5.ANGLE + DL2A_5.ANGLE0 " &end
&optimization_covariable name=DL2A_3, item=ANGLE, equation=" DL2A_3.ANGLE0 DL2A_5.ANGLE + DL2A_5.ANGLE0 " &end
&optimization_covariable name=DL2A_2, item=ANGLE, equation=" DL2A_2.ANGLE0 DL2A_5.ANGLE + DL2A_5.ANGLE0 " &end
&optimization_covariable name=DL2A_1, item=ANGLE, equation=" DL2A_1.ANGLE0 DL2A_5.ANGLE + DL2A_5.ANGLE0 " &end
&optimization_covariable name=DQ1, item=ANGLE, equation=" DQ1.ANGLE0 QF4.ANGLE 2 *  DL1A_5.ANGLE DL1A_5.ANGLE0  5 *  DL2A_5.ANGLE DL2A_5.ANGLE0  5 *  " &end
&bunched_beam
n_particles_per_bunch = 1
emit_x = 8e11
emit_y = 8e12
beta_x = 1e08
beta_y = 5e09
alpha_x = 0
alpha_y = 0
eta_x = 0.05
eta_y = 0
etap_x = 0
etap_y = 0
Po = 6849.3419
sigma_dp = 0.000961
sigma_s = 0.003
distribution_cutoff[0] = 5,5,5,
centroid[0] = 0,0,0,0,0,0,
&end
&optimize &end
&run_setup
lattice = MH6BA20111_M36_QF4_QF6_QF8_AB_match7.lte,
use_beamline = RINGRF,
default_order = 3,
concat_order = 1,
random_number_seed = 1,
wrap_around = 1,
p_central_mev = 3500,
parameters = %s.paramOpt,
magnets = %s.mag,
losses = %s.lost
semaphore_file = %s.done
final = %s.finOpt
&end
&run_control
n_steps = 1,
n_indices = 0,
n_passes = 1
reset_rf_for_each_step = 1
first_is_fiducial = 0
restrict_fiducialization = 0
&end
&twiss_output
filename = %s.twi,
radiation_integrals = 1,
matched = 1,
output_at_each_step = 1,
concat_order = 3
higher_order_chromaticity = 1
higher_order_chromaticity_range = 0.0002
chromatic_tune_spread_half_range = 0
compute_driving_terms = 1
leading_order_driving_terms_only = 1
beta_x = 1
beta_y = 1
alpha_x = 0
alpha_y = 0
eta_x = 0
etap_x = 0
&end
&floor_coordinates
filename = temporaneo.flr
X0 = 0,
Y0 = 0,
theta0 = 0,
&end
&bunched_beam
n_particles_per_bunch = 1
emit_x = 1.57e10
emit_y = 8e12
beta_x = 1e08
beta_y = 5e09
alpha_x = 0
alpha_y = 0
eta_x = 0.05
eta_y = 0
etap_x = 0
etap_y = 0
Po = 6849.3419
sigma_dp = 0.000961
sigma_s = 0.003
distribution_cutoff[0] = 5,5,5,
centroid[0] = 0,0,0,0,0,0,
&end
&track
center_on_orbit=0,
center_momentum_also=1,
offset_by_orbit=0,
offset_momentum_also=1
&end
&save_lattice
filename=%s.new,
&end
and this is the MH6BA20111_M36_QF4_QF6_QF8_AB_match7.lte file:
"DR_01": EDRIFT,L=2.52135
"DR_02": EDRIFT,L=0.075
"DR_03": EDRIFT,L=0.075
"DR_04": EDRIFT,L=0.15
"DR_05": EDRIFT,L=0.075
"DR_06": EDRIFT,L=0.075
"DR_07": EDRIFT,L=0.075
"DR_08": EDRIFT,L=0.075
"DR_09": EDRIFT,L=0.3305
"DR_091": EDRIFT,L=0.075
"DR_092": EDRIFT,L=0.1655
"DR_10": EDRIFT,L=0.075
"DR_11": EDRIFT,L=0.075
"DR_12": EDRIFT,L=0.075
"DR_13": EDRIFT,L=0.1655
"DR_14": EDRIFT,L=0.075
"DR_15": EDRIFT,L=0.075
"DR_16": EDRIFT,L=0.075
"DR_17": EDRIFT,L=0.1
"DR_18": EDRIFT,L=0.08
"DR_19": EDRIFT,L=0.197
"DR_20": EDRIFT,L=0.09
"DR_21": EDRIFT,L=0.09
"DR_22": EDRIFT,L=0.075
"DR_23": EDRIFT,L=0.075
"DR_24": EDRIFT,L=1.3842
"DL_27": EDRIFT,L=3.69635
"DL_26": EDRIFT,L=0.075
"DL_25": EDRIFT,L=0.035
"DL_24": EDRIFT,L=0.035
"DL_23": EDRIFT,L=0.075
"DL_22": EDRIFT,L=0.075
"DL_21": EDRIFT,L=0.075
"DL_20": EDRIFT,L=0.075
"DL_19": EDRIFT,L=0.075
"DL_18": EDRIFT,L=0.075
"DL_17": EDRIFT,L=0.075
"DL_16": EDRIFT,L=0.3305
"DL_161": EDRIFT,L=0.075
"DL_162": EDRIFT,L=0.1655
"DL_15": EDRIFT,L=0.075
"DL_14": EDRIFT,L=0.075
"DL_13": EDRIFT,L=0.075
"DL_12": EDRIFT,L=0.1655
"DL_11": EDRIFT,L=0.075
"DL_10": EDRIFT,L=0.075
"DL_09": EDRIFT,L=0.075
"DL_08": EDRIFT,L=0.1
"DL_07": EDRIFT,L=0.08
"DL_06": EDRIFT,L=0.197
"DL_05": EDRIFT,L=0.09
"DL_04": EDRIFT,L=0.09
"DL_03": EDRIFT,L=0.075
"DL_02": EDRIFT,L=0.075
"DL_01": EDRIFT,L=1.3842
QF1: KQUAD,L=0.15,K1=8.789830489601442,N_KICKS=20
QD2: KQUAD,L=0.15,K1=7.07693344683834,N_KICKS=20
QD3: KQUAD,L=0.15,K1=1.919229305042759,N_KICKS=20
QD5: KQUAD,L=0.105,K1=1.617877657166434,N_KICKS=20
"QD3_C1": KQUAD,L=0.15,K1=1.875256068698396,N_KICKS=20
"QD2_C1": KQUAD,L=0.105,K1=3.040643168317334,N_KICKS=20
"QF1_C1": KQUAD,L=0.185,K1=3.535681926118325,N_KICKS=20
"QUAD_ADD": KQUAD,L=0.185,K1=6.312252329994454,N_KICKS=20
FPLS: MARK,FITPOINT=1
FPSS: MARK,FITPOINT=1
FPMS: MARK,FITPOINT=1
FPBUMP: MARK,FITPOINT=1
"DL1A_5": CSBEND,L=0.2,ANGLE=0.0163329858165,K1=0.1192115053314074,&
E1=0.02173267,E2=0.00661351,N_KICKS=20
"DL1A_4": CSBEND,L=0.2,ANGLE=0.008952197403140001,K1=0.1228981806214646,&
E1=0.00661351,E2=0.0028699,N_KICKS=20
"DL1A_3": CSBEND,L=0.2,ANGLE=0.00704768515122,K1=0.1038018234246326,&
E1=0.0028699,E2=0.0103172,N_KICKS=20
"DL1A_2": CSBEND,L=0.2,ANGLE=0.00587235024906,K1=0.1101688465780408,&
E1=0.0103172,E2=0.01650797,N_KICKS=20
"DL1A_1": CSBEND,L=0.2,ANGLE=0.00496870301556,K1=0.117007456724636,&
E1=0.01650797,E2=0.02173267,N_KICKS=20
"DL2A_5": CSBEND,L=0.16667,ANGLE=0.0155012365667,K1=0.5753176374001284,&
E1=0.02081345,E2=0.00668822,N_KICKS=20
"DL2A_4": CSBEND,L=0.16667,ANGLE=0.00863418971688,K1=0.5786848703509255,&
E1=0.00668822,E2=0.00235048,N_KICKS=20
"DL2A_3": CSBEND,L=0.33334,ANGLE=0.00691526995228,K1=0.5933353328983929,&
E1=0.00235048,E2=0.009551499999999999,N_KICKS=20
"DL2A_2": CSBEND,L=0.16667,ANGLE=0.00585447420188,K1=0.452,&
E1=0.009551499999999999,E2=0.01561844,N_KICKS=20
"DL2A_1": CSBEND,L=0.16667,ANGLE=0.00503888644772,K1=0.695,E1=0.01561844,&
E2=0.02081345,N_KICKS=20
SD1: KSEXT,L=0.14,K2=468.551787,N_KICKS=20
SD2: KSEXT,L=0.14,K2=252.427466,N_KICKS=20
SF1: KSEXT,L=0.14,K2=381.897200381,N_KICKS=20
SH1: KSEXT,L=0.1,K2=50.761506,N_KICKS=20
SH2: KSEXT,L=0.1,K2=34.306023,N_KICKS=20
S: KSEXT,L=0.1,K2=114.85553,N_KICKS=20
QF4: CSBEND,L=0.15,ANGLE=0.0021092,K1=4.366428205906299,E1=0.0012728,&
E2=0.0012728,N_KICKS=20
QF4L: CSBEND,L=0.15,ANGLE=0.0021092,K1=4.563247427153821,E1=0.0012728,&
E2=0.00127282,N_KICKS=20
"QF4_C1": CSBEND,L=0.15,ANGLE=0.0021092,K1=4.149937308864343,E1=0.0012728,&
E2=0.0012728,N_KICKS=20
QF6: CSBEND,L=0.36,ANGLE=0.000689929,K1=6.479321495182063,E1=0.000340601,&
E2=0.00340601,N_KICKS=20
QF8: CSBEND,L=0.25,ANGLE=0.00071017,K1=6.960798560584746,E1=0.00035509,&
E2=0.0035509,N_KICKS=20
DQ1: CSBEND,L=0.87,ANGLE=0.05002024100000001,K1=2.664170971945386,&
E1=0.0255936,E2=0.0255936,N_KICKS=20
OF1: KOCT,L=0.09,K3=1496,N_KICKS=20
"BPM_01": MONI,GROUP="girder"
"BPM_02": MONI,GROUP="girder"
"BPM_03": MONI,GROUP="girder"
"BPM_04": MONI,GROUP="girder"
"BPM_05": MONI,GROUP="girder"
"BPM_06": MONI,GROUP="girder"
"BPM_07": MONI,GROUP="girder"
"BPM_08": MONI,GROUP="girder"
"BPM_09": MONI,GROUP="girder"
"BPM_10": MONI,GROUP="girder"
"BPM_11": MONI,GROUP="girder"
"COR_01": KICKER
"COR_02": KICKER
"COR_03": KICKER
"COR_04": KICKER
"COR_05": KICKER
"COR_06": KICKER
"COR_07": KICKER
"COR_08": KICKER
"COR_09": KICKER
"COR_10": KICKER
"COR_11": KICKER,L=0.08
RFC: RFCA,VOLT=1488533,PHASE=147.65771247,FREQ=499501358.3498094,CHANGE_T=1
MAL: MALIGN,ON_PASS=0
W1: WATCH,FILENAME="%s.w1",MODE="centroid"
W2: WATCH,FILENAME="%s.w2",MODE="parameter"
W3: WATCH,FILENAME="%s.w3",MODE="coordinate"
RAD: SREFFECTS
DL1A: LINE=(DL1A_5,DL1A_4,DL1A_3,DL1A_2,DL1A_1)
DL2A: LINE=(DL2A_5,DL2A_4,DL2A_3,DL2A_2,DL2A_1)
"ARCA_C2R": LINE=(DR_24,BPM_05,DR_23,COR_05,SH2,DR_22,QF8,DR_21,DQ1,DR_20,QF6,&
DR_19,BPM_04,DR_18,S,COR_04,DR_17,DL2A,DR_16,QD5,DR_15,SD2,COR_03,DR_14,&
BPM_03,DR_13,OF1,DR_12,QF4,DR_11,SF1,FPBUMP,DR_10,QF4,DR_091,OF1,DR_092,&
BPM_02,DR_08,COR_02,SD1,DR_07,QD3,DR_06,DL1A,DR_05,QD2,DR_04,COR_01,SH1,&
DR_03,QF1,DR_02,BPM_01,DR_01)
"ARCA_C1R": LINE=(DL_01,BPM_06,DL_02,COR_06,SH2,DL_03,QF8,DL_04,DQ1,DL_05,QF6,&
DL_06,BPM_07,DL_07,S,COR_07,DL_08,DL2A,DL_09,QD5,DL_10,SD2,COR_08,DL_11,&
BPM_08,DL_12,OF1,DL_13,QF4L,DL_14,FPBUMP,SF1,DL_15,QF4_C1,DL_161,OF1,DL_162,&
BPM_09,DL_17,COR_09,SD1,DL_18,QD3_C1,DL_19,DL1A,DL_20,QD2_C1,DL_21,BPM_10,&
DL_22,COR_10,SH1,DL_23,QF1_C1,DL_24,COR_11,DL_25,QUAD_ADD,DL_26,BPM_11,DL_27)
"ARCA_C2": LINE=(ARCA_C2R,ARCA_C2R)
"ARCA_C21": LINE=(ARCA_C2R,ARCA_C2R)
"ARCA_C21M": LINE=(ARCA_C2R,ARCA_C2R)
"ARCA_C1": LINE=(ARCA_C2R,ARCA_C1R)
"ARCA_C11": LINE=(ARCA_C1R,ARCA_C1R)
SP: LINE=(FPLS,ARCA_C1R,FPMS,ARCA_C2R,FPSS,ARCA_C2R,ARCA_C2R,ARCA_C2R,&
ARCA_C2R,ARCA_C2R,ARCA_C1R)
RING: LINE=(6*SP)
RINGRF: LINE=(W3,MAL,RAD,RFC,6*SP,W1,W2)
C2: LINE=(RAD,RFC,ARCA_C2R,ARCA_C2R)
C2C2: LINE=(RAD,RFC,ARCA_C21M,ARCA_C21M)
USE,"RINGRF"
RETURN
The final file, temporaneo.new, should have the ANGLEs changed, but they are not.
So Only gradients are modified and indeed if I restart an already optimized case, the penaly function is not zero at the beginning.
This is because the ANGLEs have been modified during the optimisation, but are not saved in the final file.
How do I save bending ANGLEs in the *.new output of save_lattice?
Thanks
Marco
I am optimizing a lattice using the swarm optimizer in parallel mode
In the case under study I do change gradients K1 and bending angles
In the optimisation I can check mpipelegant.o<run_number> and see changes of ANGLEs happen
...
Initial value for QF4.ANGLE is 2.109200e03
Initial value for DL1A_5.ANGLE is 1.633299e02
Initial value for DL2A_5.ANGLE is 1.550124e02
Starting particle swarm optimization.
...
Optimum values of variables and changes from initial values:
QF4.ANGLE: 2.361620555403833e03 2.524205554038329e04
DL1A_5.ANGLE: 1.632666715671888e02 6.318659781123781e06
DL2A_5.ANGLE: 1.550745852681502e02 6.221960115022906e06
So the optimiser seems to do the job,
But at the end of it all, when I issue
&save_lattice
&end
and I'd expect to have the new values saved in the *.new lattice, I get
QF4: CSBEND,L=0.15,ANGLE=0.0021092,K1=4.366428205906299
so the ANGLE value for element QF4 has not been saved
this is my ele file:
÷_elements
name = *,
type = edrift,
exclude = NULL,
divisions = 0,
maximum_length = 0.05,
clear = 0,
&end
&run_setup
lattice = MH6BA20111_M36_QF4_QF6_QF8_AB_match7.lte,
use_beamline = RINGRF,
default_order = 3,
concat_order = 1,
random_number_seed = 1,
wrap_around = 1,
p_central_mev = 3500,
parameters = %s.paramOpt,
magnets = %s.mag,
losses = %s.lost
semaphore_file = %s.done
final = %s.finOpt
&end
&run_control
n_steps = 1,
n_indices = 0,
n_passes = 1
reset_rf_for_each_step = 1
first_is_fiducial = 0
restrict_fiducialization = 0
&end
&twiss_output
filename = %s.twi,
radiation_integrals = 1,
matched = 1,
output_at_each_step = 1,
concat_order = 1
higher_order_chromaticity = 0
higher_order_chromaticity_range = 0.0002
chromatic_tune_spread_half_range = 0
compute_driving_terms = 1
leading_order_driving_terms_only = 1
beta_x = 1
beta_y = 1
alpha_x = 0
alpha_y = 0
eta_x = 0
etap_x = 0
&end
¶llel_optimization_setup
method = "swarm",
hybrid_simplex_tolerance = 1e14,
n_passes = 3,
verbose = 0,
target = 1e12,
mode = "minimize",
n_evaluations = 1500,
n_restarts = 15,
random_factor = 1,
n_iterations = 1500,
population_size = 240,
population_log = %s.pop,
&end
&optimization_term term = "ex0 1.55e10 1e12 segt 1e4 *" &end
&optimization_term term = "nux 58.2 0.2 sene 1e4 *" &end
&optimization_term term = "nuy 18.4 0.2 sene 1e4 *" &end
&optimization_term term = "FPLS#1.alphax 0 0.001 sene 2000 *" &end
&optimization_term term = "FPLS#1.alphay 0 0.001 sene 2000 *" &end
&optimization_term term = "FPSS#1.alphax 0 0.001 sene 2000 *" &end
&optimization_term term = "FPSS#1.alphay 0 0.001 sene 2000 *" &end
&optimization_term term = "FPMS#1.alphax 0 0.001 sene 2000 *" &end
&optimization_term term = "FPMS#1.alphay 0 0.001 sene 2000 *" &end
&optimization_term term = "FPMS#1.etax 0.025 0.001 segt 20000 *" &end
&optimization_term term = "FPMS#1.etax 0.005 0.001 selt 20000 *" &end
&optimization_term term = "FPBUMP#1.etax 0.0725 0.0005 selt 20000 *" &end
&optimization_term term = "FPBUMP#2.etax 0.0725 0.0005 selt 20000 *" &end
&optimization_term term = "FPLS#1.etax 0 0.00025 sene 20000 *" &end
&optimization_term term = "FPSS#1.etax 0 0.00025 sene 20000 *" &end
&optimization_term term = "FPLS#1.etaxp 0 0.00002 sene 2000 *" &end
&optimization_term term = "FPSS#1.etaxp 0 0.00002 sene 2000 *" &end
&optimization_term term = "FPMS#1.etaxp 0 0.00002 sene 2000 *" &end
&optimization_term term = "max.betax 30 0.0001 segt 2000 *" &end
&optimization_term term = "max.betay 30 0.0001 segt 2000 *" &end
&optimization_term term = "FPLS#1.betax 20 0.0001 segt 2000 *" &end
&optimization_term term = "FPLS#1.betax 4 0.0001 selt 2000 *" &end
&optimization_term term = "FPLS#1.betay 10 0.0001 segt 2000 *" &end
&optimization_term term = "FPLS#1.betay 0 0.0001 selt 2000 *" &end
&optimization_term term = "FPSS#1.betax 9 0.0001 segt 2000 *" &end
&optimization_term term = "FPSS#1.betax 1.5 0.0001 selt 2000 *" &end
&optimization_term term = "FPSS#1.betay 4 0.0001 segt 2000 *" &end
&optimization_term term = "FPSS#1.betay 0.5 0.0001 selt 2000 *" &end
&optimization_term term = "FPMS#1.betax 9 0.0001 segt 2000 *" &end
&optimization_term term = "FPMS#1.betax 1 0.0001 selt 2000 *" &end
&optimization_term term = "FPMS#1.betay 4 0.0001 segt 2000 *" &end
&optimization_term term = "FPMS#1.betay 1.5 0.0001 selt 2000 *" &end
&optimization_variable name=QF4, item=ANGLE, lower_limit=0.0041092, upper_limit=0.0001092, step_size=1 &end
&optimization_covariable name=QF4L, item=ANGLE, equation=QF4.ANGLE &end
&optimization_covariable name=QF4_C1, item=ANGLE, equation=QF4.ANGLE &end
&optimization_variable name=DL1A_5, item=ANGLE, lower_limit=0.014333, upper_limit=0.018333, step_size=1 &end
&optimization_covariable name=DL1A_4, item=ANGLE, equation=" DL1A_4.ANGLE0 DL1A_5.ANGLE + DL1A_5.ANGLE0 " &end
&optimization_covariable name=DL1A_3, item=ANGLE, equation=" DL1A_3.ANGLE0 DL1A_5.ANGLE + DL1A_5.ANGLE0 " &end
&optimization_covariable name=DL1A_2, item=ANGLE, equation=" DL1A_2.ANGLE0 DL1A_5.ANGLE + DL1A_5.ANGLE0 " &end
&optimization_covariable name=DL1A_1, item=ANGLE, equation=" DL1A_1.ANGLE0 DL1A_5.ANGLE + DL1A_5.ANGLE0 " &end
&optimization_variable name=DL2A_5, item=ANGLE, lower_limit=0.013501, upper_limit=0.017501, step_size=1 &end
&optimization_covariable name=DL2A_4, item=ANGLE, equation=" DL2A_4.ANGLE0 DL2A_5.ANGLE + DL2A_5.ANGLE0 " &end
&optimization_covariable name=DL2A_3, item=ANGLE, equation=" DL2A_3.ANGLE0 DL2A_5.ANGLE + DL2A_5.ANGLE0 " &end
&optimization_covariable name=DL2A_2, item=ANGLE, equation=" DL2A_2.ANGLE0 DL2A_5.ANGLE + DL2A_5.ANGLE0 " &end
&optimization_covariable name=DL2A_1, item=ANGLE, equation=" DL2A_1.ANGLE0 DL2A_5.ANGLE + DL2A_5.ANGLE0 " &end
&optimization_covariable name=DQ1, item=ANGLE, equation=" DQ1.ANGLE0 QF4.ANGLE 2 *  DL1A_5.ANGLE DL1A_5.ANGLE0  5 *  DL2A_5.ANGLE DL2A_5.ANGLE0  5 *  " &end
&bunched_beam
n_particles_per_bunch = 1
emit_x = 8e11
emit_y = 8e12
beta_x = 1e08
beta_y = 5e09
alpha_x = 0
alpha_y = 0
eta_x = 0.05
eta_y = 0
etap_x = 0
etap_y = 0
Po = 6849.3419
sigma_dp = 0.000961
sigma_s = 0.003
distribution_cutoff[0] = 5,5,5,
centroid[0] = 0,0,0,0,0,0,
&end
&optimize &end
&run_setup
lattice = MH6BA20111_M36_QF4_QF6_QF8_AB_match7.lte,
use_beamline = RINGRF,
default_order = 3,
concat_order = 1,
random_number_seed = 1,
wrap_around = 1,
p_central_mev = 3500,
parameters = %s.paramOpt,
magnets = %s.mag,
losses = %s.lost
semaphore_file = %s.done
final = %s.finOpt
&end
&run_control
n_steps = 1,
n_indices = 0,
n_passes = 1
reset_rf_for_each_step = 1
first_is_fiducial = 0
restrict_fiducialization = 0
&end
&twiss_output
filename = %s.twi,
radiation_integrals = 1,
matched = 1,
output_at_each_step = 1,
concat_order = 3
higher_order_chromaticity = 1
higher_order_chromaticity_range = 0.0002
chromatic_tune_spread_half_range = 0
compute_driving_terms = 1
leading_order_driving_terms_only = 1
beta_x = 1
beta_y = 1
alpha_x = 0
alpha_y = 0
eta_x = 0
etap_x = 0
&end
&floor_coordinates
filename = temporaneo.flr
X0 = 0,
Y0 = 0,
theta0 = 0,
&end
&bunched_beam
n_particles_per_bunch = 1
emit_x = 1.57e10
emit_y = 8e12
beta_x = 1e08
beta_y = 5e09
alpha_x = 0
alpha_y = 0
eta_x = 0.05
eta_y = 0
etap_x = 0
etap_y = 0
Po = 6849.3419
sigma_dp = 0.000961
sigma_s = 0.003
distribution_cutoff[0] = 5,5,5,
centroid[0] = 0,0,0,0,0,0,
&end
&track
center_on_orbit=0,
center_momentum_also=1,
offset_by_orbit=0,
offset_momentum_also=1
&end
&save_lattice
filename=%s.new,
&end
and this is the MH6BA20111_M36_QF4_QF6_QF8_AB_match7.lte file:
"DR_01": EDRIFT,L=2.52135
"DR_02": EDRIFT,L=0.075
"DR_03": EDRIFT,L=0.075
"DR_04": EDRIFT,L=0.15
"DR_05": EDRIFT,L=0.075
"DR_06": EDRIFT,L=0.075
"DR_07": EDRIFT,L=0.075
"DR_08": EDRIFT,L=0.075
"DR_09": EDRIFT,L=0.3305
"DR_091": EDRIFT,L=0.075
"DR_092": EDRIFT,L=0.1655
"DR_10": EDRIFT,L=0.075
"DR_11": EDRIFT,L=0.075
"DR_12": EDRIFT,L=0.075
"DR_13": EDRIFT,L=0.1655
"DR_14": EDRIFT,L=0.075
"DR_15": EDRIFT,L=0.075
"DR_16": EDRIFT,L=0.075
"DR_17": EDRIFT,L=0.1
"DR_18": EDRIFT,L=0.08
"DR_19": EDRIFT,L=0.197
"DR_20": EDRIFT,L=0.09
"DR_21": EDRIFT,L=0.09
"DR_22": EDRIFT,L=0.075
"DR_23": EDRIFT,L=0.075
"DR_24": EDRIFT,L=1.3842
"DL_27": EDRIFT,L=3.69635
"DL_26": EDRIFT,L=0.075
"DL_25": EDRIFT,L=0.035
"DL_24": EDRIFT,L=0.035
"DL_23": EDRIFT,L=0.075
"DL_22": EDRIFT,L=0.075
"DL_21": EDRIFT,L=0.075
"DL_20": EDRIFT,L=0.075
"DL_19": EDRIFT,L=0.075
"DL_18": EDRIFT,L=0.075
"DL_17": EDRIFT,L=0.075
"DL_16": EDRIFT,L=0.3305
"DL_161": EDRIFT,L=0.075
"DL_162": EDRIFT,L=0.1655
"DL_15": EDRIFT,L=0.075
"DL_14": EDRIFT,L=0.075
"DL_13": EDRIFT,L=0.075
"DL_12": EDRIFT,L=0.1655
"DL_11": EDRIFT,L=0.075
"DL_10": EDRIFT,L=0.075
"DL_09": EDRIFT,L=0.075
"DL_08": EDRIFT,L=0.1
"DL_07": EDRIFT,L=0.08
"DL_06": EDRIFT,L=0.197
"DL_05": EDRIFT,L=0.09
"DL_04": EDRIFT,L=0.09
"DL_03": EDRIFT,L=0.075
"DL_02": EDRIFT,L=0.075
"DL_01": EDRIFT,L=1.3842
QF1: KQUAD,L=0.15,K1=8.789830489601442,N_KICKS=20
QD2: KQUAD,L=0.15,K1=7.07693344683834,N_KICKS=20
QD3: KQUAD,L=0.15,K1=1.919229305042759,N_KICKS=20
QD5: KQUAD,L=0.105,K1=1.617877657166434,N_KICKS=20
"QD3_C1": KQUAD,L=0.15,K1=1.875256068698396,N_KICKS=20
"QD2_C1": KQUAD,L=0.105,K1=3.040643168317334,N_KICKS=20
"QF1_C1": KQUAD,L=0.185,K1=3.535681926118325,N_KICKS=20
"QUAD_ADD": KQUAD,L=0.185,K1=6.312252329994454,N_KICKS=20
FPLS: MARK,FITPOINT=1
FPSS: MARK,FITPOINT=1
FPMS: MARK,FITPOINT=1
FPBUMP: MARK,FITPOINT=1
"DL1A_5": CSBEND,L=0.2,ANGLE=0.0163329858165,K1=0.1192115053314074,&
E1=0.02173267,E2=0.00661351,N_KICKS=20
"DL1A_4": CSBEND,L=0.2,ANGLE=0.008952197403140001,K1=0.1228981806214646,&
E1=0.00661351,E2=0.0028699,N_KICKS=20
"DL1A_3": CSBEND,L=0.2,ANGLE=0.00704768515122,K1=0.1038018234246326,&
E1=0.0028699,E2=0.0103172,N_KICKS=20
"DL1A_2": CSBEND,L=0.2,ANGLE=0.00587235024906,K1=0.1101688465780408,&
E1=0.0103172,E2=0.01650797,N_KICKS=20
"DL1A_1": CSBEND,L=0.2,ANGLE=0.00496870301556,K1=0.117007456724636,&
E1=0.01650797,E2=0.02173267,N_KICKS=20
"DL2A_5": CSBEND,L=0.16667,ANGLE=0.0155012365667,K1=0.5753176374001284,&
E1=0.02081345,E2=0.00668822,N_KICKS=20
"DL2A_4": CSBEND,L=0.16667,ANGLE=0.00863418971688,K1=0.5786848703509255,&
E1=0.00668822,E2=0.00235048,N_KICKS=20
"DL2A_3": CSBEND,L=0.33334,ANGLE=0.00691526995228,K1=0.5933353328983929,&
E1=0.00235048,E2=0.009551499999999999,N_KICKS=20
"DL2A_2": CSBEND,L=0.16667,ANGLE=0.00585447420188,K1=0.452,&
E1=0.009551499999999999,E2=0.01561844,N_KICKS=20
"DL2A_1": CSBEND,L=0.16667,ANGLE=0.00503888644772,K1=0.695,E1=0.01561844,&
E2=0.02081345,N_KICKS=20
SD1: KSEXT,L=0.14,K2=468.551787,N_KICKS=20
SD2: KSEXT,L=0.14,K2=252.427466,N_KICKS=20
SF1: KSEXT,L=0.14,K2=381.897200381,N_KICKS=20
SH1: KSEXT,L=0.1,K2=50.761506,N_KICKS=20
SH2: KSEXT,L=0.1,K2=34.306023,N_KICKS=20
S: KSEXT,L=0.1,K2=114.85553,N_KICKS=20
QF4: CSBEND,L=0.15,ANGLE=0.0021092,K1=4.366428205906299,E1=0.0012728,&
E2=0.0012728,N_KICKS=20
QF4L: CSBEND,L=0.15,ANGLE=0.0021092,K1=4.563247427153821,E1=0.0012728,&
E2=0.00127282,N_KICKS=20
"QF4_C1": CSBEND,L=0.15,ANGLE=0.0021092,K1=4.149937308864343,E1=0.0012728,&
E2=0.0012728,N_KICKS=20
QF6: CSBEND,L=0.36,ANGLE=0.000689929,K1=6.479321495182063,E1=0.000340601,&
E2=0.00340601,N_KICKS=20
QF8: CSBEND,L=0.25,ANGLE=0.00071017,K1=6.960798560584746,E1=0.00035509,&
E2=0.0035509,N_KICKS=20
DQ1: CSBEND,L=0.87,ANGLE=0.05002024100000001,K1=2.664170971945386,&
E1=0.0255936,E2=0.0255936,N_KICKS=20
OF1: KOCT,L=0.09,K3=1496,N_KICKS=20
"BPM_01": MONI,GROUP="girder"
"BPM_02": MONI,GROUP="girder"
"BPM_03": MONI,GROUP="girder"
"BPM_04": MONI,GROUP="girder"
"BPM_05": MONI,GROUP="girder"
"BPM_06": MONI,GROUP="girder"
"BPM_07": MONI,GROUP="girder"
"BPM_08": MONI,GROUP="girder"
"BPM_09": MONI,GROUP="girder"
"BPM_10": MONI,GROUP="girder"
"BPM_11": MONI,GROUP="girder"
"COR_01": KICKER
"COR_02": KICKER
"COR_03": KICKER
"COR_04": KICKER
"COR_05": KICKER
"COR_06": KICKER
"COR_07": KICKER
"COR_08": KICKER
"COR_09": KICKER
"COR_10": KICKER
"COR_11": KICKER,L=0.08
RFC: RFCA,VOLT=1488533,PHASE=147.65771247,FREQ=499501358.3498094,CHANGE_T=1
MAL: MALIGN,ON_PASS=0
W1: WATCH,FILENAME="%s.w1",MODE="centroid"
W2: WATCH,FILENAME="%s.w2",MODE="parameter"
W3: WATCH,FILENAME="%s.w3",MODE="coordinate"
RAD: SREFFECTS
DL1A: LINE=(DL1A_5,DL1A_4,DL1A_3,DL1A_2,DL1A_1)
DL2A: LINE=(DL2A_5,DL2A_4,DL2A_3,DL2A_2,DL2A_1)
"ARCA_C2R": LINE=(DR_24,BPM_05,DR_23,COR_05,SH2,DR_22,QF8,DR_21,DQ1,DR_20,QF6,&
DR_19,BPM_04,DR_18,S,COR_04,DR_17,DL2A,DR_16,QD5,DR_15,SD2,COR_03,DR_14,&
BPM_03,DR_13,OF1,DR_12,QF4,DR_11,SF1,FPBUMP,DR_10,QF4,DR_091,OF1,DR_092,&
BPM_02,DR_08,COR_02,SD1,DR_07,QD3,DR_06,DL1A,DR_05,QD2,DR_04,COR_01,SH1,&
DR_03,QF1,DR_02,BPM_01,DR_01)
"ARCA_C1R": LINE=(DL_01,BPM_06,DL_02,COR_06,SH2,DL_03,QF8,DL_04,DQ1,DL_05,QF6,&
DL_06,BPM_07,DL_07,S,COR_07,DL_08,DL2A,DL_09,QD5,DL_10,SD2,COR_08,DL_11,&
BPM_08,DL_12,OF1,DL_13,QF4L,DL_14,FPBUMP,SF1,DL_15,QF4_C1,DL_161,OF1,DL_162,&
BPM_09,DL_17,COR_09,SD1,DL_18,QD3_C1,DL_19,DL1A,DL_20,QD2_C1,DL_21,BPM_10,&
DL_22,COR_10,SH1,DL_23,QF1_C1,DL_24,COR_11,DL_25,QUAD_ADD,DL_26,BPM_11,DL_27)
"ARCA_C2": LINE=(ARCA_C2R,ARCA_C2R)
"ARCA_C21": LINE=(ARCA_C2R,ARCA_C2R)
"ARCA_C21M": LINE=(ARCA_C2R,ARCA_C2R)
"ARCA_C1": LINE=(ARCA_C2R,ARCA_C1R)
"ARCA_C11": LINE=(ARCA_C1R,ARCA_C1R)
SP: LINE=(FPLS,ARCA_C1R,FPMS,ARCA_C2R,FPSS,ARCA_C2R,ARCA_C2R,ARCA_C2R,&
ARCA_C2R,ARCA_C2R,ARCA_C1R)
RING: LINE=(6*SP)
RINGRF: LINE=(W3,MAL,RAD,RFC,6*SP,W1,W2)
C2: LINE=(RAD,RFC,ARCA_C2R,ARCA_C2R)
C2C2: LINE=(RAD,RFC,ARCA_C21M,ARCA_C21M)
USE,"RINGRF"
RETURN
The final file, temporaneo.new, should have the ANGLEs changed, but they are not.
So Only gradients are modified and indeed if I restart an already optimized case, the penaly function is not zero at the beginning.
This is because the ANGLEs have been modified during the optimisation, but are not saved in the final file.
How do I save bending ANGLEs in the *.new output of save_lattice?
Thanks
Marco

 Posts: 1796
 Joined: 19 May 2008, 09:33
 Location: Argonne National Laboratory
 Contact:
Re: Pelegant different method
Marco,
You need to perform the &save_lattice command right after &optimize. Otherwise, elegant starts a new problem with a clean copy of everything, read from your lattice file. In the second &run_setup, use the lattice file you created with &save_lattice.
Michael
You need to perform the &save_lattice command right after &optimize. Otherwise, elegant starts a new problem with a clean copy of everything, read from your lattice file. In the second &run_setup, use the lattice file you created with &save_lattice.
Michael
Re: Pelegant different method
Hi, some time ago I posted about the use (and few issues) I had when using the parallel (swarm) optimizer.
Thanks to the indications of the forum I had managed to make it run. In the meanwhile our cluster have been changed
and ... I can't run it properly anymore. I am not sure whether this is a cluster problem or my elegant implementation.
I tried my best to get some sort of comprehension but I get stuck at a point
I am attaching few files if anyone can find some time to investigate.
In a nutshell I am trying to reduce the emittance of a given lattice, which can easily be performed in "serial" mode, i.e. without submitting a parallel job. This is a simplex minimization that reaches a 0 penalty function in few minutes.
./serial_LDtemp_run.sh should be enough to run the case (./serial_LDtemp_clean.sh is used to clean the directory if you wish a terse start)
A typical tail of the output reads:
Computing twiss parameters for optimization
Updating radiation integral values for optimization
Tracking for optimization
equation evaluates to 1.041957156806486e+01
Terms of equation:
1*(ex0 1.596e10 1e12 segt 1e4 *): 1.041957156806486e+01
new variable values for evaluation 20 of pass 1:
QF8_22.K1: 8.429845219712531e+00
QF6_22.K1: 6.047048339941936e+00
QD5_22.K1: 8.149842282504519e+00
QF4_22B.K1: 3.523989057628731e+00
QF4_22A.K1: 6.994577081333489e+00
10 matrices (re)computed
...
Computing twiss parameters for optimization
Updating radiation integral values for optimization
Tracking for optimization
equation evaluates to 0.000000000000000e+00
Terms of equation:
1*(ex0 1.596e10 1e12 segt 1e4 *): 0.000000000000000e+00
Completed posttracking output
new variable values for evaluation 24 of pass 2:
QF8_22.K1: 8.429845219712531e+00
QF6_22.K1: 6.047048339941936e+00
QD5_22.K1: 8.149842282504519e+00
QF4_22B.K1: 3.523989057628731e+00
QF4_22A.K1: 6.999021525777933e+00
10 matrices (re)computed
Computing twiss parameters for optimization
Updating radiation integral values for optimization
Tracking for optimization
equation evaluates to 0.000000000000000e+00
Terms of equation:
1*(ex0 1.596e10 1e12 segt 1e4 *): 0.000000000000000e+00
Completed posttracking output
Optimization results:
optimization function has value 0
Terms of equation:
ex0 1.596e10 1e12 segt 1e4 *: 0.000000000000000e+00
A total of 24 function evaluations were made.
Optimum values of variables and changes from initial values:
QF8_22.K1: 8.429845219712531e+00 9.999999999999787e03 (was 8.419845219712531e+00)
QF6_22.K1: 6.047048339941936e+00 1.111111111111285e03 (was 6.048159451053047e+00)
QD5_22.K1: 8.149842282504519e+00 1.299999999999990e01 (was 8.279842282504518e+00)
QF4_22B.K1: 3.523989057628731e+00 3.999999999999959e02 (was 3.563989057628731e+00)
QF4_22A.K1: 6.999021525777933e+00 1.111111111111285e03 (was 6.997910414666822e+00) (near limit)
I have also produced a similar case exploiting the parallel_optimization capabilities of elegant.
./parallel_LDtemp_run.sh is the script used to launch/submit a job over 100 nodes, clearly one has to adapt it to his/her relevant architecture, but in my case all seems to run ... however the output does not make sense
Examining the parallel_LDtemp.pop file (sddsprintout par=Opt* par=It*)
Printout for SDDS file parallel_LDtemp.pop
OptimizationValue = 2.587839e+01 OptimizationValueSpread = 8.419845e+00 Iteration = 1
OptimizationValue = 2.587839e+01 OptimizationValueSpread = 8.419845e+00 Iteration = 2
OptimizationValue = 2.587839e+01 OptimizationValueSpread = 8.419845e+00 Iteration = 3
OptimizationValue = 0.000000e+00 OptimizationValueSpread = 9.000000e+00 Iteration = 4
it seems like nothing happens in the first 3 iterations, then all of a sudden the penalty function collapses to zero.
Despite being a small initial number, typically one sees the attempts made by the algorithm to reach a minimum.
The analysis of the output from the submitted job is even more puzzling, what follows are the final lines
of the para_LDtemp.o<run_number> log file produced during the job submission:
Initial value for QF8_22.K1 is 8.419845e+00
Initial value for QF6_22.K1 is 6.048159e+00
Initial value for QD5_22.K1 is 8.279842e+00
Initial value for QF4_22B.K1 is 3.563989e+00
Initial value for QF4_22A.K1 is 6.997910e+00
Starting particle swarm optimization.
generating bunch 0
SReffects set up:
Pref=6849.33, Jx/y/delta=1.37484/1/1.62516
ex/ey=1.59651e10/0 Sdelta=0.000773927 Ddelta=0.000190219
Writing population statistics
Writing population statistics
Writing population statistics
Writing population statistics
Exited optimization loop
warning: beamline unstable for y planecan't match beta functions.
Optimization results:
optimization function has value 0
Terms of equation:
ex0 1.596e10 1e12 segt 1e4 *: 2.587839371900322e+01
A total of 500 function evaluations were made with an average of 5 function evaluations per processor
Optimum values of variables and changes from initial values:
QF8_22.K1: 9.000000000000000e+00 5.801547802874687e01
QF6_22.K1: 8.000000000000000e+00 1.951840548946953e+00
QD5_22.K1: 9.000000000000000e+00 7.201577174954821e01
QF4_22B.K1: 3.000000000000000e+00 5.639890576287310e01
QF4_22A.K1: 7.000000000000000e+00 2.089585333178157e03
Saving lattice parameters to parallel_LDtemp.paramOpt...done.
I see 3 anomalies here:
 the penalty function is "declared" to be zero
 then the only line defining the penalty (the value of the emittance), is clearly nonzero
 the final values of the parameters (5 quad gradients) are set to a random choice of their upper/lower limits. Why?
There is also an instability warning, and I am not sure which role this is playing
Well this is it, as said I am attaching the files if anyone has some time to give it a go.
I use:
 elegant 34.3.1, Apr 12 2019
 /dls_sw/apps/openmpi/1.6.5/64//bin/mpirun version
orterun (OpenRTE) 1.6.5
Thanks for any comment
Marco
Thanks to the indications of the forum I had managed to make it run. In the meanwhile our cluster have been changed
and ... I can't run it properly anymore. I am not sure whether this is a cluster problem or my elegant implementation.
I tried my best to get some sort of comprehension but I get stuck at a point
I am attaching few files if anyone can find some time to investigate.
In a nutshell I am trying to reduce the emittance of a given lattice, which can easily be performed in "serial" mode, i.e. without submitting a parallel job. This is a simplex minimization that reaches a 0 penalty function in few minutes.
./serial_LDtemp_run.sh should be enough to run the case (./serial_LDtemp_clean.sh is used to clean the directory if you wish a terse start)
A typical tail of the output reads:
Computing twiss parameters for optimization
Updating radiation integral values for optimization
Tracking for optimization
equation evaluates to 1.041957156806486e+01
Terms of equation:
1*(ex0 1.596e10 1e12 segt 1e4 *): 1.041957156806486e+01
new variable values for evaluation 20 of pass 1:
QF8_22.K1: 8.429845219712531e+00
QF6_22.K1: 6.047048339941936e+00
QD5_22.K1: 8.149842282504519e+00
QF4_22B.K1: 3.523989057628731e+00
QF4_22A.K1: 6.994577081333489e+00
10 matrices (re)computed
...
Computing twiss parameters for optimization
Updating radiation integral values for optimization
Tracking for optimization
equation evaluates to 0.000000000000000e+00
Terms of equation:
1*(ex0 1.596e10 1e12 segt 1e4 *): 0.000000000000000e+00
Completed posttracking output
new variable values for evaluation 24 of pass 2:
QF8_22.K1: 8.429845219712531e+00
QF6_22.K1: 6.047048339941936e+00
QD5_22.K1: 8.149842282504519e+00
QF4_22B.K1: 3.523989057628731e+00
QF4_22A.K1: 6.999021525777933e+00
10 matrices (re)computed
Computing twiss parameters for optimization
Updating radiation integral values for optimization
Tracking for optimization
equation evaluates to 0.000000000000000e+00
Terms of equation:
1*(ex0 1.596e10 1e12 segt 1e4 *): 0.000000000000000e+00
Completed posttracking output
Optimization results:
optimization function has value 0
Terms of equation:
ex0 1.596e10 1e12 segt 1e4 *: 0.000000000000000e+00
A total of 24 function evaluations were made.
Optimum values of variables and changes from initial values:
QF8_22.K1: 8.429845219712531e+00 9.999999999999787e03 (was 8.419845219712531e+00)
QF6_22.K1: 6.047048339941936e+00 1.111111111111285e03 (was 6.048159451053047e+00)
QD5_22.K1: 8.149842282504519e+00 1.299999999999990e01 (was 8.279842282504518e+00)
QF4_22B.K1: 3.523989057628731e+00 3.999999999999959e02 (was 3.563989057628731e+00)
QF4_22A.K1: 6.999021525777933e+00 1.111111111111285e03 (was 6.997910414666822e+00) (near limit)
I have also produced a similar case exploiting the parallel_optimization capabilities of elegant.
./parallel_LDtemp_run.sh is the script used to launch/submit a job over 100 nodes, clearly one has to adapt it to his/her relevant architecture, but in my case all seems to run ... however the output does not make sense
Examining the parallel_LDtemp.pop file (sddsprintout par=Opt* par=It*)
Printout for SDDS file parallel_LDtemp.pop
OptimizationValue = 2.587839e+01 OptimizationValueSpread = 8.419845e+00 Iteration = 1
OptimizationValue = 2.587839e+01 OptimizationValueSpread = 8.419845e+00 Iteration = 2
OptimizationValue = 2.587839e+01 OptimizationValueSpread = 8.419845e+00 Iteration = 3
OptimizationValue = 0.000000e+00 OptimizationValueSpread = 9.000000e+00 Iteration = 4
it seems like nothing happens in the first 3 iterations, then all of a sudden the penalty function collapses to zero.
Despite being a small initial number, typically one sees the attempts made by the algorithm to reach a minimum.
The analysis of the output from the submitted job is even more puzzling, what follows are the final lines
of the para_LDtemp.o<run_number> log file produced during the job submission:
Initial value for QF8_22.K1 is 8.419845e+00
Initial value for QF6_22.K1 is 6.048159e+00
Initial value for QD5_22.K1 is 8.279842e+00
Initial value for QF4_22B.K1 is 3.563989e+00
Initial value for QF4_22A.K1 is 6.997910e+00
Starting particle swarm optimization.
generating bunch 0
SReffects set up:
Pref=6849.33, Jx/y/delta=1.37484/1/1.62516
ex/ey=1.59651e10/0 Sdelta=0.000773927 Ddelta=0.000190219
Writing population statistics
Writing population statistics
Writing population statistics
Writing population statistics
Exited optimization loop
warning: beamline unstable for y planecan't match beta functions.
Optimization results:
optimization function has value 0
Terms of equation:
ex0 1.596e10 1e12 segt 1e4 *: 2.587839371900322e+01
A total of 500 function evaluations were made with an average of 5 function evaluations per processor
Optimum values of variables and changes from initial values:
QF8_22.K1: 9.000000000000000e+00 5.801547802874687e01
QF6_22.K1: 8.000000000000000e+00 1.951840548946953e+00
QD5_22.K1: 9.000000000000000e+00 7.201577174954821e01
QF4_22B.K1: 3.000000000000000e+00 5.639890576287310e01
QF4_22A.K1: 7.000000000000000e+00 2.089585333178157e03
Saving lattice parameters to parallel_LDtemp.paramOpt...done.
I see 3 anomalies here:
 the penalty function is "declared" to be zero
 then the only line defining the penalty (the value of the emittance), is clearly nonzero
 the final values of the parameters (5 quad gradients) are set to a random choice of their upper/lower limits. Why?
There is also an instability warning, and I am not sure which role this is playing
Well this is it, as said I am attaching the files if anyone has some time to give it a go.
I use:
 elegant 34.3.1, Apr 12 2019
 /dls_sw/apps/openmpi/1.6.5/64//bin/mpirun version
orterun (OpenRTE) 1.6.5
Thanks for any comment
Marco
 Attachments

 README.txt
 (189 Bytes) Downloaded 211 times

 SERIAL_test.tar.gz
 interactive case
 (568.62 KiB) Downloaded 221 times

 PARALLEL_test.tar.gz
 job submission (requires adaptation to local cluster)
 (582.72 KiB) Downloaded 218 times

 Posts: 1796
 Joined: 19 May 2008, 09:33
 Location: Argonne National Laboratory
 Contact:
Re: Pelegant different method
Marco,
I'm not able to replicate your results. One issue with the swarm optimizer is that it doesn't handle unstable lattices well. I'm actually surprised that it didn't just abort.
I'm seeing if there is a way to resolve this. For now, you might want to use the hybrid simplex optimizer, which is more robust.
Michael
I'm not able to replicate your results. One issue with the swarm optimizer is that it doesn't handle unstable lattices well. I'm actually surprised that it didn't just abort.
I'm seeing if there is a way to resolve this. For now, you might want to use the hybrid simplex optimizer, which is more robust.
Michael

 Posts: 1796
 Joined: 19 May 2008, 09:33
 Location: Argonne National Laboratory
 Contact:
Re: Pelegant different method
Marco,
I was able to replicate some similar behavior, which I tracked to how the particle swarm optimizer handles invalid function values, such as you'd get if a lattice evaluation point was unstable.
If you build from source, you can use the attached file. Otherwise, the fix will appear in 2021.1.
Thanks for reporting the issues.
Michael
I was able to replicate some similar behavior, which I tracked to how the particle swarm optimizer handles invalid function values, such as you'd get if a lattice evaluation point was unstable.
If you build from source, you can use the attached file. Otherwise, the fix will appear in 2021.1.
Thanks for reporting the issues.
Michael
 Attachments

 swarm.c
 (7.06 KiB) Downloaded 208 times