New scripts to determine phase transition boundary between modulated and unmodulated state
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Dipolar-Gas-Simulator/+Scripts/determineDensityModulation.m
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47
Dipolar-Gas-Simulator/+Scripts/determineDensityModulation.m
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@ -0,0 +1,47 @@
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function [ModulationFlag] = determineDensityModulation(psi, Params, Transf)
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% Axes scaling and coordinates in micrometers
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x = Transf.x * Params.l0 * 1e6;
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dx = x(2)-x(1);
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% Compute probability density |psi|^2
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n = abs(psi).^2;
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nyz = squeeze(trapz(n*dx,1));
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densityProfile = sum(nyz,2);
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% We need to first smoothen the density profile and subtract the smoothened profile from the
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% original density profile to -
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% 1. Remove the dominant low-frequency content.
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% 2. Isolate the high-frequency components (like a sinusoidal modulation).
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% FFT of the residual then highlights the periodic part, making the
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% modulation easy to detect.
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% Step 1: Smooth the density profile (Gaussian smoothing)
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smoothedProfile = smooth(densityProfile, 10);
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% Step 2: Compute the residual (original - smoothed)
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residual = densityProfile - smoothedProfile; % We do this
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% Step 3: Compute the Fourier Transform of the residual
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N = length(residual);
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Y = fft(residual);
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P2 = abs(Y/N); % Two-sided spectrum
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P1 = P2(1:N/2+1); % Single-sided spectrum
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P1(2:end-1) = 2*P1(2:end-1); % Correct for the energy in the negative frequencies
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% Step 4: Check for significant peaks in the Fourier spectrum
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% We check if the peak frequency is above a certain threshold
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threshold = 1E-3; % This can be adjusted based on the expected modulation strength
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peakValue = max(P1);
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if peakValue > threshold
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ModulationFlag = true; % Indicates sinusoidal modulation
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else
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ModulationFlag = false; % Indicates otherwise
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end
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end
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@ -0,0 +1,115 @@
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function run_hybrid_worker_for_phase_boundary(batchParams, batchIdx)
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% Set up local cluster for parallel pool
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cluster = parcluster('local');
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nprocs = str2double(getenv('SLURM_CPUS_PER_TASK'));
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if isnan(nprocs), nprocs = feature('numcores'); end
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tmpdir = fullfile(getenv('TMPDIR'), sprintf('matlab_job_%d', batchIdx));
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if ~exist(tmpdir, 'dir'); mkdir(tmpdir); end
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cluster.JobStorageLocation = tmpdir;
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pool = parpool(cluster, nprocs);
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nJobs = size(batchParams, 1);
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parfor k = 1:nJobs
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% Unpack parameter tuple
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initial_a_s = batchParams(k, 1);
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theta_deg = batchParams(k, 2);
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phi_deg = batchParams(k, 3);
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N_atoms = batchParams(k, 4);
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theta_rad = deg2rad(theta_deg);
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phi_rad = deg2rad(phi_deg);
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adjusted_a_s = initial_a_s;
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% Create unique save directory
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jobName = sprintf('aS_%03d_theta_%03d_phi_%03d_N_%d', initial_a_s, theta_deg, phi_deg, N_atoms);
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saveDir = fullfile('./Results/Data_3D/GradientDescent', jobName);
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if ~exist(saveDir, 'dir')
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mkdir(saveDir);
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end
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srcFile = './Results/Data_3D/GradientDescent/psi_init.mat';
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if exist(srcFile, 'file')
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copyfile(srcFile, fullfile(saveDir, 'psi_init.mat'));
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end
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MaxAttempts = 10;
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SuccessFlag = false;
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AttemptCount = 0;
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while ~SuccessFlag && AttemptCount < MaxAttempts
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AttemptCount = AttemptCount + 1;
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% Options for this run
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OptionsStruct = struct;
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OptionsStruct.NumberOfAtoms = N_atoms;
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OptionsStruct.DipolarPolarAngle = theta_rad;
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OptionsStruct.DipolarAzimuthAngle = phi_rad;
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OptionsStruct.ScatteringLength = adjusted_a_s;
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OptionsStruct.TrapFrequencies = [50, 20, 150];
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OptionsStruct.TrapPotentialType = 'Harmonic';
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OptionsStruct.NumberOfGridPoints = [128, 256, 128];
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OptionsStruct.Dimensions = [30, 50, 30];
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OptionsStruct.UseApproximationForLHY = true;
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OptionsStruct.IncludeDDICutOff = true;
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OptionsStruct.CutoffType = 'CustomCylindrical';
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OptionsStruct.CustomCylindricalCutOffRadius = 12;
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OptionsStruct.CustomCylindricalCutOffHeight = 10;
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OptionsStruct.SimulationMode = 'ImaginaryTimeEvolution';
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OptionsStruct.TimeStepSize = 5E-4;
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OptionsStruct.MinimumTimeStepSize = 2E-6;
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OptionsStruct.TimeCutOff = 1E5;
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OptionsStruct.EnergyTolerance = 5E-10;
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OptionsStruct.ResidualTolerance = 1E-05;
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OptionsStruct.NoiseScaleFactor = 0.010;
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OptionsStruct.PlotLive = false;
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OptionsStruct.JobNumber = 0;
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OptionsStruct.RunOnGPU = true;
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OptionsStruct.SaveData = true;
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OptionsStruct.SaveDirectory = saveDir;
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options = Helper.convertstruct2cell(OptionsStruct);
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sim = Simulator.DipolarGas(options{:});
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pot = Simulator.Potentials(options{:});
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sim.Potential = pot.trap();
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NumberOfOutputs = 5;
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try
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[Params, Transf, psi, ~, ~, stats] = Helper.runWithProfiling(@() sim.run(), NumberOfOutputs, saveDir);
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if Scripts.determineDensityModulation(psi, Params, Transf)
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SuccessFlag = true;
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runDir = fullfile(saveDir, sprintf('Run_%03d', OptionsStruct.JobNumber));
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psiFile = fullfile(runDir, 'psi_gs.mat');
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if exist(psiFile, 'file')
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Scripts.saveUpdatedScatteringLength(psiFile, adjusted_a_s, AttemptCount);
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else
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warning('Expected file %s not found. Cannot save final a_s.', psiFile);
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end
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else
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adjusted_a_s = adjusted_a_s - 0.2; % Tweak as per your needs
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end
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catch ME
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fprintf('ERROR in job %d (attempt %d):\n%s\n', k, AttemptCount, getReport(ME, 'extended'));
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adjusted_a_s = adjusted_a_s - 0.2;
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end
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end
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if SuccessFlag
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fprintf('Batch %d | Job %d: a_s = %.2f, theta = %d°, phi = %d°, N = %d | Time = %.2f s\n', ...
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batchIdx, k, adjusted_a_s, theta_deg, phi_deg, N_atoms, stats.runtime);
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else
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fprintf('Batch %d | Job %d FAILED after %d tries.\n', batchIdx, k, MaxAttempts);
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end
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end
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delete(pool);
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end
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@ -0,0 +1,32 @@
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function run_hybrid_worker_for_phase_boundary_wrapper(batchIdx)
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a_s_list = parse_environmental_variable('SCATTERING_LENGTH_RANGE', 85); % Scattering length list
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theta = parse_environmental_variable('POLAR_ANGLE_RANGE', 0); % Single polar angle
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phi = parse_environmental_variable('AZIMUTHAL_ANGLE_RANGE', 0); % Single azimuthal angle
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N_atoms_list = parse_environmental_variable('NUM_ATOMS_LIST', 90000); % Atom number list
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chunkSize = str2double(getenv('CHUNK_SIZE'));
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% Validate matching list lengths
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if numel(a_s_list) ~= numel(N_atoms_list)
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error('Length of a_s_list and N_atoms_list must match.');
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end
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totalJobs = numel(a_s_list);
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totalBatches = ceil(totalJobs / chunkSize);
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if batchIdx > totalBatches
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error('Batch index %d exceeds total batches (%d)', batchIdx, totalBatches);
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end
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firstIdx = (batchIdx - 1) * chunkSize + 1;
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lastIdx = min(batchIdx * chunkSize, totalJobs);
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% Construct the batch parameters
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batchParams = zeros(lastIdx - firstIdx + 1, 4); % Columns: a_s, theta, phi, N_atoms
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for i = 1:size(batchParams, 1)
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idx = firstIdx + i - 1;
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batchParams(i, :) = [a_s_list(idx), theta, phi, N_atoms_list(idx)];
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end
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% Call worker with this batch of parameters
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Scripts.run_hybrid_worker_for_phase_boundary(batchParams, batchIdx);
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end
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@ -20,7 +20,7 @@ function run_hybrid_worker_wrapper(batchIdx)
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% Call worker with this batch of parameters
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batchParams = paramGrid(firstIdx:lastIdx, :);
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Scripts.run_hybrid_worker(batchParams, batchIdx);
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Scripts.run_hybrid_worker_for_phase_boundary(batchParams, batchIdx);
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end
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function vals = parse_environmental_variable(varName, default)
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@ -549,13 +549,13 @@ SaveDirectory = './Results/Data_3D/AnisotropicTrap/TiltedDipoles45';
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JobNumber = 0;
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Plotter.visualizeGSWavefunction(SaveDirectory, JobNumber)
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%%
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SaveDirectory = './Results/Data_3D/GradientDescent/Phi050/aS_089_theta_050_phi_000_N_100000';
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SaveDirectory = './Results/Data_3D/GradientDescent/Phi020/aS_090_theta_020_phi_000_N_100000';
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JobNumber = 0;
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Plotter.visualizeGSWavefunction(SaveDirectory, JobNumber)
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%%
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% Parameters you can set before the loop
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N = 165000;
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theta = 30.0;
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N = 100000;
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theta = 20.0;
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phi = 0;
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JobNumber = 0;
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@ -592,7 +592,7 @@ JobNumber = 1;
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Plotter.visualizeGSWavefunction(SaveDirectory, JobNumber)
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%% Visualize phase diagram
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load('phase_diagram_matrix_theta_30.mat')
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load('./Results/Data_3D/GradientDescent/phase_diagram_matrix_theta_30.mat')
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PhaseDiagramMatrix = M;
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ScatteringLengths = SCATTERING_LENGTH_RANGE;
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NumberOfAtoms = NUM_ATOMS_LIST * 1E-5;
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@ -616,3 +616,77 @@ xlabel('Number of Atoms (x 10^5)', 'Interpreter', 'tex', FontSize=16);
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ylabel('Scattering Length (a0)', FontSize=16);
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% title('Zero-temperature Phase Diagram for \theta = 0', 'Interpreter', 'tex', FontSize=16);
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grid on;
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%% Density modulation determination
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SaveDirectory = './Results/Data_3D/GradientDescent/Phi030/aS_079_theta_030_phi_000_N_100000';
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JobNumber = 0;
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% Load data
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Data = load(sprintf(horzcat(SaveDirectory, '/Run_%03i/psi_gs.mat'),JobNumber),'psi','Params','Transf','Observ');
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Params = Data.Params;
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Transf = Data.Transf;
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Observ = Data.Observ;
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if isgpuarray(Data.psi)
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psi = gather(Data.psi);
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else
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psi = Data.psi;
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end
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if isgpuarray(Data.Observ.residual)
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Observ.residual = gather(Data.Observ.residual);
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else
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Observ.residual = Data.Observ.residual;
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end
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ModulationFlag = determineDensityModulation(psi, Params, Transf);
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if ModulationFlag
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disp('The state is modulated');
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else
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disp('The state is not modulated');
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end
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function ModulationFlag = determineDensityModulation(psi, Params, Transf)
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% Axes scaling and coordinates in micrometers
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x = Transf.x * Params.l0 * 1e6;
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dx = x(2)-x(1);
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% Compute probability density |psi|^2
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n = abs(psi).^2;
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nyz = squeeze(trapz(n*dx,1));
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densityProfile = sum(nyz,2);
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% We need to first smoothen the density profile and subtract the smoothened profile from the
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% original density profile to -
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% 1. Remove the dominant low-frequency content.
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% 2. Isolate the high-frequency components (like a sinusoidal modulation).
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% FFT of the residual then highlights the periodic part, making the
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% modulation easy to detect.
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% Step 1: Smooth the density profile (Gaussian smoothing)
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smoothedProfile = smooth(densityProfile, 10);
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% Step 2: Compute the residual (original - smoothed)
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residual = densityProfile - smoothedProfile; % We do this
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% Step 3: Compute the Fourier Transform of the residual
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N = length(residual);
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Y = fft(residual);
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P2 = abs(Y/N); % Two-sided spectrum
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P1 = P2(1:N/2+1); % Single-sided spectrum
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P1(2:end-1) = 2*P1(2:end-1); % Correct for the energy in the negative frequencies
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% Step 4: Check for significant peaks in the Fourier spectrum
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% We check if the peak frequency is above a certain threshold
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threshold = 1E-3; % This can be adjusted based on the expected modulation strength
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peakValue = max(P1);
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if peakValue > threshold
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ModulationFlag = true; % Indicates sinusoidal modulation
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else
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ModulationFlag = false; % Indicates otherwise
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end
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end
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@ -13,21 +13,26 @@ OptionsStruct.Dimensions = [30, 50, 30];
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OptionsStruct.UseApproximationForLHY = true;
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OptionsStruct.IncludeDDICutOff = true;
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OptionsStruct.CutoffType = 'Cylindrical';
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OptionsStruct.SimulationMode = 'EnergyMinimization'; % 'ImaginaryTimeEvolution' | 'RealTimeEvolution' | 'EnergyMinimization'
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OptionsStruct.SimulationMode = 'ImaginaryTimeEvolution'; % 'ImaginaryTimeEvolution' | 'RealTimeEvolution' | 'EnergyMinimization'
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OptionsStruct.GradientDescentMethod = 'NonLinearCGD'; % 'HeavyBall' | 'NonLinearCGD'
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OptionsStruct.MaxIterationsForGD = 15000;
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OptionsStruct.TimeStepSize = 5E-4; % in s
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OptionsStruct.MinimumTimeStepSize = 2E-6; % in s
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OptionsStruct.TimeCutOff = 1E6; % in s
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OptionsStruct.EnergyTolerance = 5E-10;
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OptionsStruct.ResidualTolerance = 1E-05;
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OptionsStruct.NoiseScaleFactor = 0.010;
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OptionsStruct.PlotLive = false;
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OptionsStruct.JobNumber = 0;
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OptionsStruct.RunOnGPU = true;
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OptionsStruct.SaveData = true;
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OptionsStruct.SaveDirectory = './Results/Data_3D/GradientDescent'; % './Results/Data_3D/AnisotropicTrap/Tilted0'
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OptionsStruct.SaveDirectory = './Results/Data_3D/GradientDescent';
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options = Helper.convertstruct2cell(OptionsStruct);
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sim = Simulator.DipolarGas(options{:});
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pot = Simulator.Potentials(options{:});
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sim.Potential = pot.trap(); % + pot.repulsive_chopstick();
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sim.Potential = pot.trap();
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%-% Run Simulation %-%
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NumberOfOutputs = 5;
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@ -0,0 +1,3 @@
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function saveUpdatedScatteringLength(filename, final_a_s, num_attempts)
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save(filename, 'final_a_s', 'num_attempts');
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end
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@ -2,9 +2,9 @@
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# Use space-separated floating-point/integer values
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SCATTERING_LENGTH_RANGE="[79.0 80.0 81.0 82.0 83.0 84.0 85.0 86.0 87.0 88.0 89.0 90.0]"
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POLAR_ANGLE_RANGE="[20.0 30.0 40.0 50.0]"
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POLAR_ANGLE_RANGE="[0.0 20.0 30.0]"
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AZIMUTHAL_ANGLE_RANGE="[0.0]"
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NUM_ATOMS_LIST="[50000 55000 60000 65000 70000 75000 80000 85000 90000 95000 100000 105000]"
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NUM_ATOMS_LIST="[50000 55000 60000 65000 70000 75000 80000 85000 90000 95000 100000 105000 110000 115000 120000 125000 130000 135000 140000 145000 150000 155000 160000 165000]"
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CHUNK_SIZE=4
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# ----------- Count total combinations for SLURM array -----------
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