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Workflow for modifying DQMC C code, adding new measurements, and running tests. Use when editing source code, implementing new observables, debugging, or validating code changes.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Advanced DQMC features including unequal-time measurements, analytic continuation, and queue system internals. Use when enabling dynamical correlations, performing MaxEnt continuation, or understanding HDF5 data structure.
Extract physical observables with error estimates from completed DQMC simulations. Use when computing density, double occupancy, spin correlations, structure factors, or any measured quantity from simulation data.
Create HDF5 simulation files for DQMC with specified physical parameters. Use when setting up new simulations, specifying lattice size, interaction strength U, chemical potential mu, temperature (via dt and L), or number of Monte Carlo sweeps.
Set up systematic DQMC parameter studies across temperature, interaction strength U, or chemical potential mu. Use when doing temperature sweeps, phase diagram calculations, or any grid of simulations.
Execute DQMC Monte Carlo sweeps on HDF5 simulation files. Use when running simulations, checkpointing long runs, using the queue system for multiple files, or checking simulation status.
| name | dqmc-dev |
| description | Workflow for modifying DQMC C code, adding new measurements, and running tests. Use when editing source code, implementing new observables, debugging, or validating code changes. |
# Build
make # -> build/dqmc
make clean # remove build/
# Test
cd test && make && ./test_greens
After any code change:
dqmc-util gen Nx=4 Ny=4 U=4 dt=0.1 L=20 n_sweep_warm=50 n_sweep_meas=100
build/dqmc sim_0.h5
dqmc-util summary sim_0.h5
Add to X-macro list in src/rc/sim_types.h:
// Add to MEAS_EQLT_LIST (or MEAS_UNEQLT_LIST for unequal-time)
#define MEAS_EQLT_LIST \
/* ... */ \
X(my_meas, num_ij) // pick an appropriate size expression
Implement measurement kernel in src/rc/meas.c
Add analysis function in dqmc_util/analyze_hub.py (and update reshaping/symmetrization if needed):
@observable(
description="my new observable",
requires=("meas_eqlt/n_sample", "meas_eqlt/sign", "meas_eqlt/my_meas"),
)
def _my_meas(ctx):
return core.jackknife_noniid(
ctx.data["meas_eqlt/n_sample"],
ctx.data["meas_eqlt/sign"],
ctx.data["meas_eqlt/my_meas"],
)
Dual compilation: Files in src/rc/ compile twice. Use RC(name) macro for real/complex dispatch.
Memory: Use my_calloc() for 64-byte aligned allocations.
Profiling: Wrap with profile_begin(name) / profile_end(name).
make succeeds without warningscd test && make && ./test_greens passesdqmc-util summary