Multi-dimensional data example
Explore multi-dimensional data using the TID, SHIELDOSE-2 model.
Explore multi-dimensional data using the TID, SHIELDOSE-2 model.
# coding=utf-8
from nom_client.nom_client import NoMClient
"""
title: Multi-dimensional data example
description: Explore multi-dimensional data using the TID, SHIELDOSE-2 model.
"""
conf = {
"servers": {
"ext_rest_server": {
"type": "rest",
"server_addr": "https://nom.esa.int",
"api_version": "api",
"api_key": ""
}
}
}
nom_client = NoMClient("eqflux_model_example", client_configuration=conf,
default_server_id="ext_rest_server",
debug_output=False)
sapre_model_gto = nom_client.get_model('sapre')
sapre_gto_result = nom_client.run_model(sapre_model_gto)
print(sapre_gto_result)
ap8ae8_model = nom_client.get_model('ae8ap8')
ap8ae8_model.set_external_input(external_input_name="trajectory", external_input=sapre_gto_result)
ap8ae8_results = nom_client.run_model(ap8ae8_model)
print(ap8ae8_results)
# Solar particle models
sapphire_worst_fluence_model = nom_client.get_model('sapphire-worst-event-fluence')
sapphire_worst_fluence_model.set_external_input(external_input_name="trajectory", external_input=sapre_gto_result)
sapphire_worst_fluence_results = nom_client.run_model(sapphire_worst_fluence_model)
print(sapphire_worst_fluence_results)
# Effects models
eqflux_model = nom_client.get_model('eqflux')
# eqflux_model.set_external_input(external_input_name="trappedParticleSpectrum", external_input=ap8ae8_results)
eqflux_model.set_external_input(external_input_name="solarParticleSpectrum",
external_input=sapphire_worst_fluence_results)
eqflux_result = nom_client.run_model(eqflux_model)
print(eqflux_result)
r = nom_client.get_model_run_results(model_run_name="eqflux",
model_result_name="summary_equivalent_fluences_pmax")
print(r)
# plot_all(nom_client.get_model_runs(model_run_names='sapphire-worst-event-fluence'))