Simulate Fields

You can also download this tutorial as a Jupyter notebook and a plain Julia source file.

To obtain JSONs for all LEGEND detectors you can clone the repository legend-detectors. The JSONs can be found under germanium/diodes. You may also create your custom detector JSON file as long as it follows the LEGEND detector metadata format (see README in diodes/).

Here we will use public example JSONs from LegendTestData

using LegendGeSim
using Plots

Get detector metadata JSON from `legend-test-data`

using LegendTestData

germanium_testdata_path = joinpath(legend_test_data_path(), "data", "legend", "metadata", "hardware", "detectors", "germanium")

detector_name = "V99000A"
detector_metadata_filename = joinpath(germanium_testdata_path, "diodes", detector_name*".json");

Alternatively, enter your own path to a real LEGEND detector JSON (see manual on Field Simulation for more details)

detector_metadata_filename = "path/to/V04545A.json"

Settings

See manual on Field Simulation for a detailed explanation of environment and simulation settings

environment_settings = Dict(
    "crystal_temperature_in_K" => 77,
    "medium" => "vacuum",
    "dl" => "vendor" # optional, default 0
);

simulation_settings = Dict(
    "method" => "SSD",
    "cached_name" => "", # a non-empty string will cache the simulation results
    "crystal_metadata_path" => joinpath(germanium_testdata_path, "crystals")
);

Simulation with `SolidStateDetectors`

sim_ssd = LegendGeSim.simulate_fields(detector_metadata_filename, environment_settings, simulation_settings; overwrite=true)

The output of simulate_fields() in case of SSD will be a SolidStateDetector object.

Below are some examples of what you can do with it

LegendGeSim.capacitance_matrix(sim_ssd)

2×2 Matrix{Unitful.Quantity{Float32, 𝐈^2 𝐓^4 𝐋^-2 𝐌^-1, Unitful.FreeUnits{(pF,), 𝐈^2 𝐓^4 𝐋^-2 𝐌^-1, nothing}}}:
  3.5522 pF   -3.54239 pF
 -3.54143 pF   5.47733 pF

Using built-in SolidStateDetectors.jl functionality

using LegendGeSim: SolidStateDetectors as SSD

SSD.is_depleted(sim_ssd.point_types)

true

SSD.estimate_depletion_voltage(sim_ssd)

1545.4712f0 V

plot(
    plot(sim_ssd.point_types, full_det = true),
    plot(sim_ssd.electric_potential, full_det = true),
    plot(sim_ssd.weighting_potentials[1], full_det = true),
    plot(sim_ssd.weighting_potentials[2], full_det = true),
    begin
        plot(sim_ssd.electric_field, full_det = true)
        SSD.plot_electric_fieldlines!(sim_ssd, full_det = true)
    end,
    size = (1000, 800), layout = (3, 2)
)

SSD_multiplot

Consult SolidStateDetectors.jl tutorials for more operations on the SolidStateDetector object

Simulation with `Fieldgen`

The same simulation settings can be used for siggen, changing only the "method" settings to "siggen" (or "fieldgen") and loading the MJDSigGen package.

using MJDSigGen
simulation_settings_siggen = deepcopy(simulation_settings)
simulation_settings_siggen["method"] = "fieldgen"

"fieldgen"

The same function simulate_fields is used with identical inputs as in case of SSD.

sim_fieldgen = LegendGeSim.simulate_fields(detector_metadata_filename, environment_settings, simulation_settings_siggen; overwrite=true)

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0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0), Ptr{MJDSigGen.CartPoint{Float32}} @0x0000000047619890, Ptr{MJDSigGen.CartPoint{Float32}} @0x000000004768eba0, 1.0f0, Ptr{MJDSigGen.CartPoint{Float32}} @0x0000000047703eb0, Ptr{MJDSigGen.CartPoint{Float32}} @0x00000000477791c0, Ptr{Float32} @0x00000000477ee4d0, Ptr{Float32} @0x00000000478155e0, 0.0f0, 0.0f0, 0.0f0, 0.0f0, 0.0)

The output of simulate_fields() in case of Fieldgen will be a SigGenSetup object from MJDSigGen.jl.

The same function as in the SSD example can be used to obtain fieldgen simulated capacitance matrix

LegendGeSim.capacitance_matrix(sim_fieldgen)

2×2 Matrix{Unitful.Quantity{Float32, 𝐈^2 𝐓^4 𝐋^-2 𝐌^-1, Unitful.FreeUnits{(pF,), 𝐈^2 𝐓^4 𝐋^-2 𝐌^-1, nothing}}}:
  3.34 pF  -3.34 pF
 -3.34 pF   3.34 pF

Alternative

Alternative input using an already existing impurity_profile and offset_in_mm as input fields

simulation_settings_siggen1 = Dict(
    "method" => "fieldgen",
    "cached_name" => "", # a non-empty string will cache the simulation result
    "impurity_profile" => "cache/V99000.dat",
    "offset_in_mm" => 0
);

sim_fieldgen = LegendGeSim.simulate_fields(detector_metadata_filename, environment_settings, simulation_settings_siggen1; overwrite=true)

MJDSigGen.SigGenSetup(0, 80.0f0, 35.0f0, 2.0f0, 3.0f0, 10.0f0, 1.0f0, 1.0f0, 0.0f0, 55.0f0, 5.0f0, 60.0f0, 10.000009f0, 0.0f0, 10.579618f0, 0.0f0, 0.0f0, 0.0f0, 0.0f0, 0.0f0, 0.0f0, 0.1f0, -0.9f0, 0.0f0, 0.0f0, 0.0f0, 0.0f0, 1.0f0, 0.0f0, 4000.0f0, 3.34f0, 30000, 1, 1, 0, (86, 57, 57, 48, 48, 48, 65, 95, 116, 109, 112, 95, 100, 114, 105, 102, 116, 95, 118, 101, 108, 95, 116, 99, 111, 114, 114, 46, 116, 97, 98, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 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Compare `SSD` to `Fieldgen`

We can construct wlectric and weighting potential based on Fieldgen results in the same format as SSD

e_pot = SSD.ElectricPotential(sim_fieldgen);
w_pot = SSD.WeightingPotential(sim_fieldgen);

ToDo: same units for SSD and fieldgen

plot(
    plot(sim_ssd.electric_potential, full_det = true, title = "Electric potential via SSD"),
    plot(e_pot, full_det = true, title = "Electric potential via Fieldgen"),
    size = (1000, 500), layout = (1, 2)
)

SSD_vs_fieldgen_Epot

plot(
    plot(sim_ssd.weighting_potentials[1], full_det = true, title = "Weighting potential via SSD"),
    plot(w_pot, full_det = true, title = "Weighting potential via fieldgen"),
    size = (1000, 500), layout = (1, 2)
)

SSD_vs_fieldgen_Wpot

This page was generated using Literate.jl.

Simulate Fields

Get detector metadata JSON from legend-test-data

Settings

Simulation with SolidStateDetectors

Simulation with Fieldgen

Alternative

Compare SSD to Fieldgen

Get detector metadata JSON from `legend-test-data`

Simulation with `SolidStateDetectors`

Simulation with `Fieldgen`

Compare `SSD` to `Fieldgen`