diff --git a/README.md b/README.md index 5ebfeab..0ee7dac 100644 --- a/README.md +++ b/README.md @@ -52,6 +52,12 @@ The second approach can be used to constrain the LD model parameter space direct ## News +- Version 1.6 (4.5.2021) + + - Added `ldtk.SVOFilter` filter class that creates a filter using the [Spanish Virtual Observatory (SVO) Filter + Profile Service (FPS)](http://svo2.cab.inta-csic.es/theory/fps/). The FPS contains over 10000 named filters, and + creating a filter based on the FPS data is now as simple as giving the `SVOFilter` the SVO filter name. + - Version 1.5 (3.3.2021) - LDTk can now use four different sets of the modelled stellar spectra: `vis`, `vis-lowres`, `visir`, and `visir-lowres`. diff --git a/ldtk/__init__.py b/ldtk/__init__.py index 8ecbbb5..171c146 100644 --- a/ldtk/__init__.py +++ b/ldtk/__init__.py @@ -19,4 +19,4 @@ from .version import __version__ from .ldtk import LDPSetCreator, LDPSet, load_ldpset -from .filters import BoxcarFilter, TabulatedFilter, sdss_g, sdss_r, sdss_i, sdss_z, kepler, tess \ No newline at end of file +from .filters import BoxcarFilter, SVOFilter, TabulatedFilter, sdss_g, sdss_r, sdss_i, sdss_z, kepler, tess \ No newline at end of file diff --git a/ldtk/filters.py b/ldtk/filters.py index d883595..b5c241e 100644 --- a/ldtk/filters.py +++ b/ldtk/filters.py @@ -16,10 +16,13 @@ with this program; if not, write to the Free Software Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. """ +from typing import Optional import pandas as pd from pathlib import Path + +from matplotlib.pyplot import subplots, setp from numpy import array, argsort, zeros_like, arange, loadtxt, linspace from scipy.interpolate import interp1d @@ -32,7 +35,6 @@ def __call__(self, wl): raise NotImplementedError def plot(self, ax=None, wl_min=300, wl_max=1000, wl_res=500): - from matplotlib.pyplot import subplots, setp if ax is None: fig, ax = subplots() wl = linspace(wl_min, wl_max, wl_res) @@ -41,6 +43,62 @@ def plot(self, ax=None, wl_min=300, wl_max=1000, wl_res=500): return ax +class SVOFilter(Filter): + shortcuts = dict(kepler='Kepler/Kepler.k', + tess='TESS/TESS.Red', + sdss_g='SLOAN/SDSS.g', + sdss_r='SLOAN/SDSS.r', + sdss_i='SLOAN/SDSS.i', + sdss_z='SLOAN/SDSS.z') + + def __init__(self, name: str): + """Creates a filter using the Spanish Virtual Observatory (SVO) Filter Profile Service. + + Creates a filter using the Spanish Virtual Observatory (SVO) Filter Profile + Service. The filter name can be either an SVO filter name such as "SLOAN/SDSS.z" + or "Kepler/Kepler.k" or a name shortcut. You can get a dictionary of available + shortcuts from `SVOFilter.shortcuts`. + + Notes + ----- + - Requires an internet connection. + - The SVO FPS is hosted at http://svo2.cab.inta-csic.es/theory/fps/ + + Parameters + ---------- + name : str + SVO filter name such as "SLOAN/SDSS.z" or a name shortcut such as "TESS". + """ + from astroquery.svo_fps import SvoFps as svo + if name.lower() in self.shortcuts.keys(): + name = self.shortcuts[name.lower()] + super().__init__(name) + self._svo_data = svo.get_transmission_data(name) + self.wavelength = wl = self._svo_data['Wavelength'].compressed().astype('d') / 10 + self.transmission = tr = self._svo_data['Transmission'].compressed().astype('d') + self.transmission /= self.transmission.max() + self.bbox = wl[tr > 1e-2][[0, -1]] + self._ip = interp1d(self.wavelength, self.transmission, kind='cubic') + + def __call__(self, wl): + return self._ip(wl) + + def sample(self, n: Optional[int] = 100): + return self.wavelength, self.transmission + + def plot(self, bbox: bool = False, ax=None): + if ax is None: + fig, ax = subplots() + else: + fig, ax = None, ax + + ax.plot(self.wavelength, self.transmission) + if bbox: + ax.axvspan(*self.bbox, fill=False, ls='--', ec='k') + setp(ax, xlabel='Wavelength [nm]', ylabel='Transmission') + return ax + + class TabulatedFilter(Filter): """Tabulated filter where the transmission is listed as a function of wavelength. diff --git a/ldtk/version.py b/ldtk/version.py index e9c3d7b..cdf23ca 100644 --- a/ldtk/version.py +++ b/ldtk/version.py @@ -19,4 +19,4 @@ from semantic_version import Version -__version__ = Version('1.5.0') \ No newline at end of file +__version__ = Version('1.6.0') \ No newline at end of file diff --git a/notebooks/SVOFilter.ipynb b/notebooks/SVOFilter.ipynb new file mode 100644 index 0000000..cfe0f55 --- /dev/null +++ b/notebooks/SVOFilter.ipynb @@ -0,0 +1,140 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "1fb2fc46", + "metadata": {}, + "source": [ + "# SVOFilter example\n", + "\n", + "Author: Hannu Parviainen
\n", + "Last updated: 4.5.2021\n", + "\n", + "The `ldtk.SVOFilter` filter class can be used to create a filter from the [Spanish Virtual Observatory (SVO) Filter Profile Service (FPS)](http://svo2.cab.inta-csic.es/theory/fps/). The class uses `astroquery` to download the data, and so naturally requires an internet connection.\n", + "\n", + "`SVOFilter` takes only a filter name as an argument, which can be either a full SVO FPS filter name such as `SLOAN/SDSS.g` or a name shortcut such as `Kepler`." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "98db67dd", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Populating the interactive namespace from numpy and matplotlib\n" + ] + } + ], + "source": [ + "%pylab inline\n", + "from ldtk import SVOFilter" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "8e265362", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'kepler': 'Kepler/Kepler.k',\n", + " 'tess': 'TESS/TESS.Red',\n", + " 'sdss_g': 'SLOAN/SDSS.g',\n", + " 'sdss_r': 'SLOAN/SDSS.r',\n", + " 'sdss_i': 'SLOAN/SDSS.i',\n", + " 'sdss_z': 'SLOAN/SDSS.z'}" + ] + }, + "execution_count": 2, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "SVOFilter.shortcuts" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "45b1ae37", + "metadata": {}, + "outputs": [], + "source": [ + "fg = SVOFilter('SLOAN/SDSS.g')\n", + "fr = SVOFilter('SLOAN/SDSS.r')\n", + "fi = SVOFilter('SLOAN/SDSS.i')\n", + "fz = SVOFilter('SLOAN/SDSS.z')\n", + "ftess = SVOFilter('TESS')\n", + "fkepler = SVOFilter('Kepler')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "49cbe907", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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©2021 Hannu Parviainen
" + ] + } + ], + "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": "3.8.8" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}