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Jianshun Gao 2023-05-24 16:54:29 +02:00
parent a91aabf26a
commit 7c22a3c02c
5 changed files with 4014 additions and 1595 deletions
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10
Analyser/FitAnalyser.py
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@ -338,7 +338,7 @@ class DensityProfileBEC2dModel(Model):
self.set_param_hint('condensate_fraction', expr=f'{self.prefix}BEC_amplitude / ({self.prefix}BEC_amplitude + {self.prefix}thermal_amplitude)')
def guess(self, data, x, y, negative=False, pureBECThreshold=0.5, **kwargs):
def guess(self, data, x, y, negative=False, pureBECThreshold=0.5, noBECThThreshold=0.0, **kwargs):
"""Estimate initial model parameter values from data."""
fitModel = TwoGaussian2dModel()
pars = fitModel.guess(data, x=x, y=y, negative=negative)
@ -359,9 +359,17 @@ class DensityProfileBEC2dModel(Model):
)
if BEC_amplitude / (thermal_amplitude + BEC_amplitude) > pureBECThreshold:
if np.abs(1 - pars_guess['A_sigmax'].value / pars_guess['A_sigmay'].value) < 0.1:
pars[f'{self.prefix}BEC_amplitude'].set(value=0)
pars[f'{self.prefix}thermal_amplitude'].set(value=(thermal_amplitude + BEC_amplitude))
else:
pars[f'{self.prefix}thermal_amplitude'].set(value=0)
pars[f'{self.prefix}BEC_amplitude'].set(value=(thermal_amplitude + BEC_amplitude))
if BEC_amplitude / (thermal_amplitude + BEC_amplitude) < noBECThThreshold:
pars[f'{self.prefix}BEC_amplitude'].set(value=0)
pars[f'{self.prefix}thermal_amplitude'].set(value=(thermal_amplitude + BEC_amplitude))
return update_param_vals(pars, self.prefix, **kwargs)

0
DataContainer/MongoDB.py Normal file
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3842
Example.ipynb
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1600
test.ipynb
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File diff suppressed because one or more lines are too long

143
testMongoDB.ipynb Normal file
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@ -0,0 +1,143 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"import pymongo"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"mongoClient = pymongo.MongoClient()\n",
"mongoDB = mongoClient.testDB\n",
"mongoCollection = mongoDB.testCollection"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"import datetime\n",
"post = {\"author\": \"Mike\",\n",
" \"text\": \"My first blog post!\",\n",
" \"tags\": [\"mongodb\", \"python\", \"pymongo\"],\n",
" \"date\": datetime.datetime.utcnow()}"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"ename": "NameError",
"evalue": "name 'db' is not defined",
"output_type": "error",
"traceback": [
"\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
"\u001b[1;31mNameError\u001b[0m Traceback (most recent call last)",
"\u001b[1;32mf:\\Jianshun\\analyseScript\\testMongoDB.ipynb Cell 4\u001b[0m in \u001b[0;36m1\n\u001b[1;32m----> <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/testMongoDB.ipynb#W6sZmlsZQ%3D%3D?line=0'>1</a>\u001b[0m posts \u001b[39m=\u001b[39m db\u001b[39m.\u001b[39mposts\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/testMongoDB.ipynb#W6sZmlsZQ%3D%3D?line=1'>2</a>\u001b[0m post_id \u001b[39m=\u001b[39m posts\u001b[39m.\u001b[39minsert_one(post)\u001b[39m.\u001b[39minserted_id\n\u001b[0;32m <a href='vscode-notebook-cell:/f%3A/Jianshun/analyseScript/testMongoDB.ipynb#W6sZmlsZQ%3D%3D?line=2'>3</a>\u001b[0m post_id\n",
"\u001b[1;31mNameError\u001b[0m: name 'db' is not defined"
]
}
],
"source": [
"posts = mongoCollection.posts\n",
"post_id = posts.insert_one(post).inserted_id\n",
"post_id"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Task executing\n",
"\n",
"Task2 executing \n",
"\n",
"Task2 done\n",
"\n",
"Task done\n",
"\n"
]
}
],
"source": [
"from time import sleep\n",
"from multiprocessing.pool import ThreadPool\n",
" \n",
"# task executed in a worker thread\n",
"def task():\n",
" # report a message\n",
" print(f'Task executing\\n')\n",
" # block for a moment\n",
" sleep(1)\n",
" # report a message\n",
" print(f'Task done\\n')\n",
" \n",
"def task2():\n",
" # report a message\n",
" print(f'Task2 executing \\n')\n",
" # block for a moment\n",
" sleep(1)\n",
" # report a message\n",
" print(f'Task2 done\\n')\n",
" \n",
"# protect the entry point\n",
"if __name__ == '__main__':\n",
" # create and configure the thread pool\n",
" pool = ThreadPool()\n",
" # issue tasks to the thread pool\n",
" pool.apply_async(task)\n",
" pool.apply_async(task2)\n",
" # close the thread pool\n",
" pool.close()\n",
" # wait for all tasks to finish\n",
" pool.join()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "py39",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.13"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}