Skip to content

Instantly share code, notes, and snippets.

@larrybradley
Created January 25, 2021 21:41
Show Gist options
  • Save larrybradley/7659125d9f4db22162d4ae7337e548e6 to your computer and use it in GitHub Desktop.
Save larrybradley/7659125d9f4db22162d4ae7337e548e6 to your computer and use it in GitHub Desktop.
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "reverse-pittsburgh",
"metadata": {
"ExecuteTime": {
"end_time": "2021-01-25T21:39:02.133481Z",
"start_time": "2021-01-25T21:39:01.188986Z"
}
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: The fit may be unsuccessful; check fit_info['message'] for more information. [astropy.modeling.fitting]\n"
]
},
{
"data": {
"text/plain": [
"<GriddedPSFModel(flux=340.83114543, x_0=235.62417096, y_0=246.30749559)>"
]
},
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"from astropy.modeling.fitting import LevMarLSQFitter\n",
"from astropy.io import fits\n",
"from photutils.psf import FittableImageModel\n",
"from varun_psfutils import make_models\n",
"#from psf_tools.PSFUtils import make_models # this suppresses the fit warning!\n",
"\n",
"data = fits.getdata('data_cutout.fits')\n",
"\n",
"psf_model, _ = make_models('PSFSTD_WFC3UV_F555W.fits')\n",
"psf_model.flux = 401.348652558488\n",
"psf_model.x_0 = 235.9156174534438 \n",
"psf_model.y_0 = 247.0110975634186\n",
"\n",
"yy, xx = np.mgrid[242:253, 231:242]\n",
"fitter = LevMarLSQFitter()\n",
"fit_psf = fitter(psf_model, xx, yy, data)\n",
"fit_psf"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "therapeutic-billy",
"metadata": {
"ExecuteTime": {
"end_time": "2021-01-25T21:39:02.139457Z",
"start_time": "2021-01-25T21:39:02.135930Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"'Number of calls to function has reached maxfev = 100.'"
]
},
"execution_count": 2,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fitter.fit_info['message']"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "induced-aside",
"metadata": {
"ExecuteTime": {
"end_time": "2021-01-25T21:39:02.146893Z",
"start_time": "2021-01-25T21:39:02.143301Z"
}
},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"fitter.fit_info['param_cov'] is None"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "consecutive-thermal",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.8.7"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment