Improve notebook organisation
"import pymedphys"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Download data files"
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
" 'filetype': 'snc_extracted'\n",
" },\n",
" 'arccheck': {\n",
- " 'url': 'https://raw.githubusercontent.com/samuelpeet/flashgamma/master/examples/sample_arccheck_measurement.txt',\n",
+ " 'url': 'https://raw.githubusercontent.com/samuelpeet/flashgamma/c00f388856cd3651b706a7b117ff90930aa5ee54/examples/sample_arccheck_measurement.txt',\n",
" 'filetype': 'arccheck'\n",
" }\n",
"}"
"file_details"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## Load and investigate data"
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
]
},
{
- "cell_type": "code",
- "execution_count": null,
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [],
"source": [
- "dose_criteria = np.arange(0.1, 3.01, 0.01) # %\n",
- "distance_criteria = np.arange(0.1, 2.01, 0.01) # mm"
+ "## Calculation configurations"
]
},
{
"metadata": {},
"outputs": [],
"source": [
+ "dose_criteria = np.arange(0.1, 3.01, 0.01) # %\n",
+ "distance_criteria = np.arange(0.1, 2.01, 0.01) # mm\n",
+ "\n",
"lower_percent_dose_cutoff = 20\n",
"local = False"
]
"}"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## FlashGamma"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Run calculation"
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
]
},
{
- "cell_type": "code",
- "execution_count": null,
+ "cell_type": "markdown",
"metadata": {},
- "outputs": [],
"source": [
- "# pass_rates"
+ "### Create plotting function"
]
},
{
"cell_type": "markdown",
"metadata": {},
"source": [
- "## FlashGamma's pass rates"
+ "### FlashGamma's pass rates"
]
},
{
"plot_passing_rates(pass_rates)"
]
},
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "## PyMedPhys"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "### Calculation"
+ ]
+ },
{
"cell_type": "code",
"execution_count": null,
"cell_type": "markdown",
"metadata": {},
"source": [
- "## PyMedPhys' pass rates"
+ "### PyMedPhys' pass rates"
]
},
{
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.8.6"
+ "version": "3.7.9"
}
},
"nbformat": 4,
