/
builtins.py
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/
builtins.py
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# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Importing this module registers loaders for built-in data structures:
- Sources
- Bandpasses
- MagSystems
"""
import string
import tarfile
import warnings
import os
from os.path import join
import codecs
from collections import OrderedDict
import numpy as np
from astropy import wcs, units as u
from astropy.io import ascii, fits
from astropy.config import ConfigItem, get_cache_dir
from astropy.extern import six
from astropy.utils.data import get_pkg_data_filename
from . import io
from . import snfitio
from .utils import download_file, download_dir, DataMirror
from .models import (Source, TimeSeriesSource, SALT2Source, MLCS2k2Source,
SNEMOSource, _SOURCES)
from .bandpasses import (Bandpass, read_bandpass, _BANDPASSES,
_BANDPASS_INTERPOLATORS)
from .spectrum import Spectrum
from .magsystems import (MagSystem, SpectralMagSystem, ABMagSystem,
CompositeMagSystem, _MAGSYSTEMS)
from . import conf
from .constants import BANDPASS_TRIM_LEVEL
# This module is only imported for its side effects.
__all__ = []
def get_rootdir():
# use the environment variable if set
data_dir = os.environ.get('SNCOSMO_DATA_DIR')
# otherwise, use config file value if set.
if data_dir is None:
data_dir = conf.data_dir
# if still None, use astropy cache dir (and create if necessary!)
if data_dir is None:
data_dir = join(get_cache_dir(), "sncosmo")
if not os.path.isdir(data_dir):
if os.path.exists(data_dir):
raise RuntimeError("{0} not a directory".format(data_dir))
os.mkdir(data_dir)
return data_dir
DATADIR = DataMirror(get_rootdir, "http://sncosmo.github.io/data")
# =============================================================================
# Bandpasses
def load_bandpass_bessell(pkg_data_name, name=None):
"""Bessell bandpasses have (1/energy) transmission units."""
fname = get_pkg_data_filename(pkg_data_name)
return read_bandpass(fname, wave_unit=u.AA, trans_unit=u.erg**-1,
normalize=True, name=name)
def load_bandpass_remote_aa(relpath, name=None):
abspath = DATADIR.abspath(relpath)
return read_bandpass(abspath, wave_unit=u.AA,
trim_level=BANDPASS_TRIM_LEVEL, name=name)
def load_bandpass_remote_nm(relpath, name=None):
abspath = DATADIR.abspath(relpath)
return read_bandpass(abspath, wave_unit=u.nm,
trim_level=BANDPASS_TRIM_LEVEL, name=name)
def load_bandpass_remote_um(relpath, name=None):
abspath = DATADIR.abspath(relpath)
return read_bandpass(abspath, wave_unit=u.micron,
trim_level=BANDPASS_TRIM_LEVEL, name=name)
def load_bandpass_remote_wfc3(relpath, name=None):
abspath = DATADIR.abspath(relpath)
_, wave, trans = np.loadtxt(abspath, unpack=True)
return Bandpass(wave, trans, wave_unit=u.AA,
trim_level=BANDPASS_TRIM_LEVEL, name=name)
def tophat_bandpass_um(ctr, width, name=None):
"""Create a tophat Bandpass centered at `ctr` with width `width` (both
in microns)."""
wave = np.array([ctr - width / 2.0, ctr + width / 2.0])
trans = np.array([1.0, 1.0])
return Bandpass(wave, trans, wave_unit=u.micron, name=name)
# Bessell bandpasses (transmission is in units of (photons / erg))
bessell_meta = {
'filterset': 'bessell',
'reference': ('B90', '`Bessell 1990 <http://adsabs.harvard.edu/'
'abs/1990PASP..102.1181B>`__, Table 2'),
'description': 'Representation of Johnson-Cousins UBVRI system'}
for name, fname in [('bessellux', 'bessell/bessell_ux.dat'),
('bessellb', 'bessell/bessell_b.dat'),
('bessellv', 'bessell/bessell_v.dat'),
('bessellr', 'bessell/bessell_r.dat'),
('besselli', 'bessell/bessell_i.dat')]:
_BANDPASSES.register_loader(name, load_bandpass_bessell,
args=('data/bandpasses/' + fname,),
meta=bessell_meta)
# Shifted bessell filters used in SNLS3 (in units of photon / photon)
snls3_landolt_meta = {
'filterset': 'snls3-landolt',
'dataurl': 'http://supernovae.in2p3.fr/sdss_snls_jla/ReadMe.html',
'retrieved': '13 February 2017',
'description': 'Bessell bandpasses shifted as in JLA analysis',
'reference': ('B14a',
'`Betoule et al. (2014) <http://adsabs.harvard.edu'
'/abs/2014A%26A...568A..22B>`__, Footnote 21')}
for name, fname in [
('standard::u', 'bandpasses/snls3-landolt/sux-shifted.dat'),
('standard::b', 'bandpasses/snls3-landolt/sb-shifted.dat'),
('standard::v', 'bandpasses/snls3-landolt/sv-shifted.dat'),
('standard::r', 'bandpasses/snls3-landolt/sr-shifted.dat'),
('standard::i', 'bandpasses/snls3-landolt/si-shifted.dat')]:
_BANDPASSES.register_loader(name, load_bandpass_remote_aa,
args=(fname,), meta=snls3_landolt_meta)
des_meta = {
'filterset': 'des',
'retrieved': '22 March 2013',
'description': 'Dark Energy Camera grizy filter set at airmass 1.3'}
for name, fname in [('desg', 'bandpasses/des/des_g.dat'),
('desr', 'bandpasses/des/des_r.dat'),
('desi', 'bandpasses/des/des_i.dat'),
('desz', 'bandpasses/des/des_z.dat'),
('desy', 'bandpasses/des/des_y.dat')]:
_BANDPASSES.register_loader(name, load_bandpass_remote_aa,
args=(fname,), meta=des_meta)
sdss_meta = {
'filterset': 'sdss',
'reference': ('D10', '`Doi et al. 2010 <http://adsabs.harvard.edu/'
'abs/2010AJ....139.1628D>`__, Table 4'),
'description': ('SDSS 2.5m imager at airmass 1.3 (including '
'atmosphere), normalized')}
for name, fname in [('sdssu', 'bandpasses/sdss/sdss_u.dat'),
('sdssg', 'bandpasses/sdss/sdss_g.dat'),
('sdssr', 'bandpasses/sdss/sdss_r.dat'),
('sdssi', 'bandpasses/sdss/sdss_i.dat'),
('sdssz', 'bandpasses/sdss/sdss_z.dat')]:
_BANDPASSES.register_loader(name, load_bandpass_remote_aa,
args=(fname,),
meta=sdss_meta)
_BANDPASSES.alias('sdss::u', 'sdssu')
_BANDPASSES.alias('sdss::g', 'sdssg')
_BANDPASSES.alias('sdss::r', 'sdssr')
_BANDPASSES.alias('sdss::i', 'sdssi')
_BANDPASSES.alias('sdss::z', 'sdssz')
# HST ACS WFC bandpasses: remote
acs_meta = {'filterset': 'acs',
'dataurl': 'http://www.stsci.edu/hst/acs/analysis/throughputs',
'retrieved': 'direct download',
'description': 'Hubble Space Telescope ACS WFC filters'}
for name, fname in [('f435w', 'bandpasses/acs-wfc/wfc_F435W.dat'),
('f475w', 'bandpasses/acs-wfc/wfc_F475W.dat'),
('f555w', 'bandpasses/acs-wfc/wfc_F555W.dat'),
('f606w', 'bandpasses/acs-wfc/wfc_F606W.dat'),
('f625w', 'bandpasses/acs-wfc/wfc_F625W.dat'),
('f775w', 'bandpasses/acs-wfc/wfc_F775W.dat'),
# TODO: 814 filter from STScI has multiple identical
# wavelength values.
# ('f814w', 'bandpasses/acs-wfc/wfc_F814W.dat'),
('f850lp', 'bandpasses/acs-wfc/wfc_F850LP.dat')]:
_BANDPASSES.register_loader(name, load_bandpass_remote_aa,
args=(fname,), meta=acs_meta)
_BANDPASSES.alias('acswf::f606w', 'f606w')
_BANDPASSES.alias('acswf::f775w', 'f775w')
_BANDPASSES.alias('acswf::f850lp', 'f850lp')
# HST NICMOS NIC2 bandpasses: remote
nicmos_meta = {'filterset': 'nicmos-nic2',
'dataurl': 'http://www.stsci.edu/hst/',
'retrieved': '05 Aug 2014',
'description': 'Hubble Space Telescope NICMOS2 filters'}
for name, fname in [
('nicf110w', 'bandpasses/nicmos-nic2/hst_nicmos_nic2_f110w.dat'),
('nicf160w', 'bandpasses/nicmos-nic2/hst_nicmos_nic2_f160w.dat')]:
_BANDPASSES.register_loader(name, load_bandpass_remote_aa,
args=(fname,), meta=nicmos_meta)
_BANDPASSES.alias('nicmos2::f110w', 'nicf110w')
_BANDPASSES.alias('nicmos2::f160w', 'nicf160w')
# WFC3 IR bandpasses: remote
wfc3ir_meta = {'filterset': 'wfc3-ir',
'dataurl': 'http://www.stsci.edu/hst/wfc3/ins_performance/'
'throughputs/Throughput_Tables',
'retrieved': 'direct download',
'description': 'Hubble Space Telescope WFC3 IR filters'}
for name, fname in [('f098m', 'bandpasses/wfc3-ir/f098m.IR.tab'),
('f105w', 'bandpasses/wfc3-ir/f105w.IR.tab'),
('f110w', 'bandpasses/wfc3-ir/f110w.IR.tab'),
('f125w', 'bandpasses/wfc3-ir/f125w.IR.tab'),
('f127m', 'bandpasses/wfc3-ir/f127m.IR.tab'),
('f139m', 'bandpasses/wfc3-ir/f139m.IR.tab'),
('f140w', 'bandpasses/wfc3-ir/f140w.IR.tab'),
('f153m', 'bandpasses/wfc3-ir/f153m.IR.tab'),
('f160w', 'bandpasses/wfc3-ir/f160w.IR.tab')]:
_BANDPASSES.register_loader(name, load_bandpass_remote_wfc3,
args=(fname,), meta=wfc3ir_meta)
wfc3uvis_meta = {'filterset': 'wfc3-uvis',
'dataurl': 'http://www.stsci.edu/hst/wfc3/ins_performance/'
'throughputs/Throughput_Tables',
'retrieved': 'direct download',
'description': ('Hubble Space Telescope WFC3 UVIS filters '
'(CCD 2)')}
for name, fname in [('f218w', "bandpasses/wfc3-uvis/f218w.UVIS2.tab"),
('f225w', "bandpasses/wfc3-uvis/f225w.UVIS2.tab"),
('f275w', "bandpasses/wfc3-uvis/f275w.UVIS2.tab"),
('f300x', "bandpasses/wfc3-uvis/f300x.UVIS2.tab"),
('f336w', "bandpasses/wfc3-uvis/f336w.UVIS2.tab"),
('f350lp', "bandpasses/wfc3-uvis/f350lp.UVIS2.tab"),
('f390w', "bandpasses/wfc3-uvis/f390w.UVIS2.tab"),
('f689m', "bandpasses/wfc3-uvis/f689m.UVIS2.tab"),
('f763m', "bandpasses/wfc3-uvis/f763m.UVIS2.tab"),
('f845m', "bandpasses/wfc3-uvis/f845m.UVIS2.tab"),
('f438w', "bandpasses/wfc3-uvis/f438w.UVIS2.tab"),
('uvf475w', "bandpasses/wfc3-uvis/f475w.UVIS2.tab"),
('uvf555w', "bandpasses/wfc3-uvis/f555w.UVIS2.tab"),
('uvf606w', "bandpasses/wfc3-uvis/f606w.UVIS2.tab"),
('uvf625w', "bandpasses/wfc3-uvis/f625w.UVIS2.tab"),
('uvf775w', "bandpasses/wfc3-uvis/f775w.UVIS2.tab"),
('uvf814w', "bandpasses/wfc3-uvis/f814w.UVIS2.tab"),
('uvf850lp', "bandpasses/wfc3-uvis/f850lp.UVIS2.tab")]:
_BANDPASSES.register_loader(name, load_bandpass_remote_wfc3,
args=(fname,), meta=wfc3uvis_meta)
# Kepler
kepler_meta = {
'filterset': 'kepler',
'retrieved': 'direct download',
'description': 'Bandpass for the Kepler spacecraft',
'dataurl': 'http://keplergo.arc.nasa.gov/CalibrationResponse.shtml'}
_BANDPASSES.register_loader(
'kepler', load_bandpass_remote_nm,
args=("bandpasses/kepler/kepler_response_hires1.txt",),
meta=kepler_meta)
csp_meta = {
'filterset': 'csp',
'retrieved': '8 Feb 2017',
'description': ('Carnegie Supernova Project filters (Swope+DuPont '
'Telescopes) updated 6 Oct 2016'),
'dataurl': 'http://csp.obs.carnegiescience.edu/data/filters'}
for name, fname in [
('cspb', 'bandpasses/csp/B_tel_ccd_atm_ext_1.2.dat'),
('csphs', 'bandpasses/csp/H_SWO_TAM_scan_atm.dat'),
('csphd', 'bandpasses/csp/H_DUP_TAM_scan_atm.dat'),
('cspjs', 'bandpasses/csp/J_SWO_TAM_scan_atm.dat'),
('cspjd', 'bandpasses/csp/J_DUP_TAM_scan_atm.dat'),
('cspv3009', 'bandpasses/csp/V_LC3009_tel_ccd_atm_ext_1.2.dat'),
('cspv3014', 'bandpasses/csp/V_LC3014_tel_ccd_atm_ext_1.2.dat'),
('cspv9844', 'bandpasses/csp/V_LC9844_tel_ccd_atm_ext_1.2.dat'),
('cspys', 'bandpasses/csp/Y_SWO_TAM_scan_atm.dat'),
('cspyd', 'bandpasses/csp/Y_DUP_TAM_scan_atm.dat'),
('cspg', 'bandpasses/csp/g_tel_ccd_atm_ext_1.2.dat'),
('cspi', 'bandpasses/csp/i_tel_ccd_atm_ext_1.2.dat'),
('cspk', 'bandpasses/csp/kfilter'),
('cspr', 'bandpasses/csp/r_tel_ccd_atm_ext_1.2.dat'),
('cspu', 'bandpasses/csp/u_tel_ccd_atm_ext_1.2.dat')]:
_BANDPASSES.register_loader(name, load_bandpass_remote_aa,
args=(fname,), meta=csp_meta)
_BANDPASSES.alias('swope2::u', 'cspu')
_BANDPASSES.alias('swope2::b', 'cspb')
_BANDPASSES.alias('swope2::g', 'cspg')
_BANDPASSES.alias('swope2::v', 'cspv3014')
_BANDPASSES.alias('swope2::v1', 'cspv3009')
_BANDPASSES.alias('swope2::v2', 'cspv9844')
_BANDPASSES.alias('swope2::r', 'cspr')
_BANDPASSES.alias('swope2::i', 'cspi')
_BANDPASSES.alias('swope2::y', 'cspys')
_BANDPASSES.alias('swope2::j', 'cspjs')
_BANDPASSES.alias('swope2::h', 'csphs')
jwst_nircam_meta = {'filterset': 'jwst-nircam',
'dataurl': 'http://www.stsci.edu/jwst/instruments/nircam'
'/instrumentdesign/filters',
'retrieved': '09 Sep 2014',
'description': 'James Webb Space Telescope NIRCAM '
'Wide+Medium filters'}
for name, fname in [('f070w', 'bandpasses/nircam/jwst_nircam_f070w.dat'),
('f090w', 'bandpasses/nircam/jwst_nircam_f090w.dat'),
('f115w', 'bandpasses/nircam/jwst_nircam_f115w.dat'),
('f150w', 'bandpasses/nircam/jwst_nircam_f150w.dat'),
('f200w', 'bandpasses/nircam/jwst_nircam_f200w.dat'),
('f277w', 'bandpasses/nircam/jwst_nircam_f277w.dat'),
('f356w', 'bandpasses/nircam/jwst_nircam_f356w.dat'),
('f444w', 'bandpasses/nircam/jwst_nircam_f444w.dat'),
('f140m', 'bandpasses/nircam/jwst_nircam_f140m.dat'),
('f162m', 'bandpasses/nircam/jwst_nircam_f162m.dat'),
('f182m', 'bandpasses/nircam/jwst_nircam_f182m.dat'),
('f210m', 'bandpasses/nircam/jwst_nircam_f210m.dat'),
('f250m', 'bandpasses/nircam/jwst_nircam_f250m.dat'),
('f300m', 'bandpasses/nircam/jwst_nircam_f300m.dat'),
('f335m', 'bandpasses/nircam/jwst_nircam_f335m.dat'),
('f360m', 'bandpasses/nircam/jwst_nircam_f360m.dat'),
('f410m', 'bandpasses/nircam/jwst_nircam_f410m.dat'),
('f430m', 'bandpasses/nircam/jwst_nircam_f430m.dat'),
('f460m', 'bandpasses/nircam/jwst_nircam_f460m.dat'),
('f480m', 'bandpasses/nircam/jwst_nircam_f480m.dat')]:
_BANDPASSES.register_loader(name, load_bandpass_remote_um,
args=(fname,), meta=jwst_nircam_meta)
jwst_miri_meta = {
'filterset': 'jwst-miri',
'dataurl': ('http://ircamera.as.arizona.edu/MIRI/'
'ImPCE_TN-00072-ATC-Iss2.xlsx'),
'retrieved': '16 Feb 2017',
'description': 'James Webb Space Telescope MIRI filters'}
for name in ['f560w', 'f770w', 'f1000w', 'f1130w', 'f1280w',
'f1500w', 'f1800w', 'f2100w', 'f2550w']:
fname = "bandpasses/miri/jwst_miri_{}.dat".format(name)
_BANDPASSES.register_loader(name, load_bandpass_remote_um,
args=(fname,), meta=jwst_miri_meta)
jwst_miri_meta2 = {'filterset': 'jwst-miri-tophat',
'dataurl': ('http://www.stsci.edu/jwst/instruments/miri/'
'instrumentdesign/filters'),
'retrieved': '09 Sep 2014',
'description': ('James Webb Space Telescope MIRI '
'filters (idealized tophat)')}
for name, ctr, width in [('f1065c', 10.65, 0.53),
('f1140c', 11.4, 0.57),
('f1550c', 15.5, 0.78),
('f2300c', 23., 4.6)]:
_BANDPASSES.register_loader(name, tophat_bandpass_um,
args=(ctr, width), meta=jwst_miri_meta2)
# LSST bandpasses
lsst_meta = {'filterset': 'lsst',
'dataurl': ('https://github.com/lsst/throughputs/tree/'
'7632edaa9e93d06576e34a065ea4622de8cc48d0/baseline'),
'retrieved': '16 Nov 2016',
'description': 'LSST baseline total throughputs, v1.1.'}
for letter in ['u', 'g', 'r', 'i', 'z', 'y']:
name = 'lsst' + letter
relpath = 'bandpasses/lsst/total_{}.dat'.format(letter)
_BANDPASSES.register_loader(name, load_bandpass_remote_nm,
args=(relpath,), meta=lsst_meta)
# Keplercam
keplercam_meta = {
'filterset': 'keplercam',
'dataurl': 'http://supernovae.in2p3.fr/sdss_snls_jla/ReadMe.html',
'retrieved': '13 Feb 2017',
'description': 'Keplercam transmissions as used in JLA'}
for name, fname in [('keplercam::us', 'bandpasses/keplercam/Us_Keplercam.txt'),
('keplercam::b', 'bandpasses/keplercam/B_Keplercam.txt'),
('keplercam::v', 'bandpasses/keplercam/V_Keplercam.txt'),
('keplercam::r', 'bandpasses/keplercam/r_Keplercam.txt'),
('keplercam::i', 'bandpasses/keplercam/i_Keplercam.txt')]:
_BANDPASSES.register_loader(name, load_bandpass_remote_aa,
args=(fname,), meta=keplercam_meta)
# 4shooter
fourshooter_meta = {
'filterset': '4shooter2',
'dataurl': 'http://supernovae.in2p3.fr/sdss_snls_jla/ReadMe.html',
'retrieved': '13 Feb 2017',
'description': '4Shooter filters as used in JLA'}
for name, fname in [('4shooter2::us', 'bandpasses/4shooter2/Us_4Shooter2.txt'),
('4shooter2::b', 'bandpasses/4shooter2/B_4Shooter2.txt'),
('4shooter2::v', 'bandpasses/4shooter2/V_4Shooter2.txt'),
('4shooter2::r', 'bandpasses/4shooter2/R_4Shooter2.txt'),
('4shooter2::i', 'bandpasses/4shooter2/I_4Shooter2.txt')]:
_BANDPASSES.register_loader(name, load_bandpass_remote_aa,
args=(fname,), meta=fourshooter_meta)
# =============================================================================
# bandpass interpolators
megacam_meta = {'filterset': 'megacampsf'}
def load_megacampsf(letter, name=None):
abspath = DATADIR.abspath('bandpasses/megacampsf', isdir=True)
return snfitio.read_snfit_bandpass_interpolator(abspath, letter, name=name)
for letter in ('u', 'g', 'r', 'i', 'z', 'y'):
_BANDPASS_INTERPOLATORS.register_loader('megacampsf::' + letter,
load_megacampsf, args=(letter,),
meta=megacam_meta)
# =============================================================================
# Sources
def load_timeseries_ascii(relpath, zero_before=False, name=None, version=None):
abspath = DATADIR.abspath(relpath)
phase, wave, flux = io.read_griddata_ascii(abspath)
return TimeSeriesSource(phase, wave, flux, name=name, version=version,
zero_before=zero_before)
def load_timeseries_fits(relpath, name=None, version=None):
abspath = DATADIR.abspath(relpath)
phase, wave, flux = io.read_griddata_fits(abspath)
return TimeSeriesSource(phase, wave, flux, name=name, version=version)
def load_timeseries_fits_local(pkg_data_name, name=None, version=None):
fname = get_pkg_data_filename(pkg_data_name)
phase, wave, flux = io.read_griddata_fits(fname)
return TimeSeriesSource(phase, wave, flux, name=name, version=version)
def load_salt2model(relpath, name=None, version=None):
abspath = DATADIR.abspath(relpath, isdir=True)
return SALT2Source(modeldir=abspath, name=name, version=version)
def load_2011fe(relpath, name=None, version=None):
# filter warnings about RADESYS keyword in files
warnings.filterwarnings('ignore', category=wcs.FITSFixedWarning,
append=True)
abspath = DATADIR.abspath(relpath, isdir=True)
phasestrs = []
spectra = []
disp = None
for fname in os.listdir(abspath):
if fname[-4:] == '.fit':
hdulist = fits.open(join(abspath, fname))
flux_density = hdulist[0].data
phasestrs.append(fname[-8:-4]) # like 'P167' or 'M167'
spectra.append(flux_density)
# Get dispersion values if we haven't yet
# (dispersion should be the same for all)
if disp is None:
w = wcs.WCS(hdulist[0].header)
nflux = len(flux_density)
idx = np.arange(nflux) # pixel coords
idx.shape = (nflux, 1) # make it 2-d
disp = w.wcs_pix2world(idx, 0)[:, 0]
hdulist.close()
# get phases in floats
phases = []
for phasestr in phasestrs:
phase = 0.1 * float(phasestr[1:])
if phasestr[0] == 'M':
phase = -phase
phases.append(phase)
# Add a point at explosion.
# The phase of explosion is given in the paper as
# t_expl - t_bmax = 55796.696 - 55814.51 = -17.814
# where t_expl is from Nugent et al (2012)
phases.append(-17.814)
spectra.append(np.zeros_like(spectra[0]))
# order spectra and put them all together
spectra = sorted(zip(phases, spectra), key=lambda x: x[0])
flux = np.array([s[1] for s in spectra])
phases = np.array(phases)
phases.sort()
return TimeSeriesSource(phases, disp, flux,
name=name, version=version)
# Nugent models
website = 'https://c3.lbl.gov/nugent/nugent_templates.html'
subclass = '`~sncosmo.TimeSeriesSource`'
n02ref = ('N02', 'Nugent, Kim & Permutter 2002 '
'<http://adsabs.harvard.edu/abs/2002PASP..114..803N>')
s04ref = ('S04', 'Stern, et al. 2004 '
'<http://adsabs.harvard.edu/abs/2004ApJ...612..690S>')
l05ref = ('L05', 'Levan et al. 2005 '
'<http://adsabs.harvard.edu/abs/2005ApJ...624..880L>')
g99ref = ('G99', 'Gilliland, Nugent & Phillips 1999 '
'<http://adsabs.harvard.edu/abs/1999ApJ...521...30G>')
for suffix, ver, sntype, ref in [('sn1a', '1.2', 'SN Ia', n02ref),
('sn91t', '1.1', 'SN Ia', s04ref),
('sn91bg', '1.1', 'SN Ia', n02ref),
('sn1bc', '1.1', 'SN Ib/c', l05ref),
('hyper', '1.2', 'SN Ib/c', l05ref),
('sn2p', '1.2', 'SN IIP', g99ref),
('sn2l', '1.2', 'SN IIL', g99ref),
('sn2n', '2.1', 'SN IIn', g99ref)]:
name = "nugent-" + suffix
relpath = "models/nugent/{0}_flux.v{1}.dat".format(suffix, ver)
_SOURCES.register_loader(name, load_timeseries_ascii,
args=(relpath,), version=ver,
meta={'url': website, 'type': sntype,
'subclass': subclass, 'reference': ref})
# Sako et al 2011 models
ref = ('S11', 'Sako et al. 2011 '
'<http://adsabs.harvard.edu/abs/2011ApJ...738..162S>')
website = 'http://sdssdp62.fnal.gov/sdsssn/SNANA-PUBLIC/'
subclass = '`~sncosmo.TimeSeriesSource`'
note = "extracted from SNANA's SNDATA_ROOT on 29 March 2013."
for name, sntype, fn in [('s11-2004hx', 'SN IIL/P', 'S11_SDSS-000018.SED'),
('s11-2005lc', 'SN IIP', 'S11_SDSS-001472.SED'),
('s11-2005hl', 'SN Ib', 'S11_SDSS-002000.SED'),
('s11-2005hm', 'SN Ib', 'S11_SDSS-002744.SED'),
('s11-2005gi', 'SN IIP', 'S11_SDSS-003818.SED'),
('s11-2006fo', 'SN Ic', 'S11_SDSS-013195.SED'),
('s11-2006jo', 'SN Ib', 'S11_SDSS-014492.SED'),
('s11-2006jl', 'SN IIP', 'S11_SDSS-014599.SED')]:
meta = {'url': website, 'type': sntype, 'subclass': subclass,
'reference': ref, 'note': note}
_SOURCES.register_loader(name, load_timeseries_ascii,
args=('models/sako/' + fn,), version='1.0',
meta=meta)
# Hsiao models
meta = {'url': 'http://csp.obs.carnegiescience.edu/data/snpy',
'type': 'SN Ia',
'subclass': '`~sncosmo.TimeSeriesSource`',
'reference': ('H07', 'Hsiao et al. 2007 '
'<http://adsabs.harvard.edu/abs/2007ApJ...663.1187H>'),
'note': 'extracted from the SNooPy package on 21 Dec 2012.'}
for version, fn in [('1.0', 'Hsiao_SED.fits'),
('2.0', 'Hsiao_SED_V2.fits'),
('3.0', 'Hsiao_SED_V3.fits')]:
_SOURCES.register_loader('hsiao', load_timeseries_fits,
args=('models/hsiao/' + fn,), version=version,
meta=meta)
# subsampled version of Hsiao v3.0, for testing purposes.
_SOURCES.register_loader('hsiao-subsampled',
load_timeseries_fits_local,
args=('data/models/Hsiao_SED_V3_subsampled.fits',),
version='3.0', meta=meta)
# SALT2 models
website = 'http://supernovae.in2p3.fr/salt/doku.php?id=salt_templates'
g10ref = ('G10', 'Guy et al. 2010 '
'<http://adsabs.harvard.edu/abs/2010A%26A...523A...7G>')
b14ref = ('B14b', 'Betoule et al. 2014 '
'<http://adsabs.harvard.edu/abs/2014A%26A...568A..22B>')
for topdir, ver, ref in [('salt2-2-0', '2.0', g10ref),
('salt2-4', '2.4', b14ref)]:
meta = {'type': 'SN Ia', 'subclass': '`~sncosmo.SALT2Source`',
'url': website, 'reference': ref}
_SOURCES.register_loader('salt2', load_salt2model,
args=('models/salt2/'+topdir,),
version=ver, meta=meta)
# SALT2 extended
meta = {'type': 'SN Ia',
'subclass': '`~sncosmo.SALT2Source`',
'url': 'http://sdssdp62.fnal.gov/sdsssn/SNANA-PUBLIC/',
'note': "extracted from SNANA's SNDATA_ROOT on 15 August 2013."}
_SOURCES.register_loader('salt2-extended', load_salt2model,
args=('models/snana/salt2_extended',), version='1.0',
meta=meta)
# SALT2 H17
meta = {'type': 'SN Ia',
'subclass': '`~sncosmo.SALT2Source`',
'url': 'http://snana.uchicago.edu/',
'note': "extracted from SNANA's SNDATA_ROOT on 24 April 2018. SALT2"
" model with wide wavelength range, Hounsell et al. 2017",
'reference': ('H17', 'Hounsell et al. 2017 '
'<http://adsabs.harvard.edu/abs/2017arXiv170201747H>')}
_SOURCES.register_loader('salt2-h17', load_salt2model,
args=('models/snana/salt2-h17',),
version='1.0', meta=meta)
# 2011fe
meta = {'type': 'SN Ia',
'subclass': '`~sncosmo.TimeSeriesSource`',
'url': 'http://snfactory.lbl.gov/snf/data',
'reference': ('P13', 'Pereira et al. 2013 '
'<http://adsabs.harvard.edu/abs/2013A%26A...554A..27P>')}
_SOURCES.register_loader('snf-2011fe', load_2011fe, version='1.0',
args=('models/snf/SN2011fe',), meta=meta)
# SNANA CC SN models
url = 'http://das.sdss2.org/ge/sample/sdsssn/SNANA-PUBLIC/'
subclass = '`~sncosmo.TimeSeriesSource`'
ref = ('SNANA', 'Kessler et al. 2009 '
'<http://adsabs.harvard.edu/abs/2009PASP..121.1028K>')
note = "extracted from SNANA's SNDATA_ROOT on 5 August 2014."
# 'PSNID' denotes that model is used in PSNID.
models = [('snana-2004fe', 'SN Ic', 'CSP-2004fe.SED'),
('snana-2004gq', 'SN Ic', 'CSP-2004gq.SED'),
('snana-sdss004012', 'SN Ic', 'SDSS-004012.SED'), # no IAU name
('snana-2006fo', 'SN Ic', 'SDSS-013195.SED'), # PSNID
('snana-sdss014475', 'SN Ic', 'SDSS-014475.SED'), # no IAU name
('snana-2006lc', 'SN Ic', 'SDSS-015475.SED'),
('snana-2007ms', 'SN II-pec', 'SDSS-017548.SED'), # type Ic in SNANA
('snana-04d1la', 'SN Ic', 'SNLS-04D1la.SED'),
('snana-04d4jv', 'SN Ic', 'SNLS-04D4jv.SED'),
('snana-2004gv', 'SN Ib', 'CSP-2004gv.SED'),
('snana-2006ep', 'SN Ib', 'CSP-2006ep.SED'),
('snana-2007Y', 'SN Ib', 'CSP-2007Y.SED'),
('snana-2004ib', 'SN Ib', 'SDSS-000020.SED'),
('snana-2005hm', 'SN Ib', 'SDSS-002744.SED'), # PSNID
('snana-2006jo', 'SN Ib', 'SDSS-014492.SED'), # PSNID
('snana-2007nc', 'SN Ib', 'SDSS-019323.SED'),
('snana-2004hx', 'SN IIP', 'SDSS-000018.SED'), # PSNID
('snana-2005gi', 'SN IIP', 'SDSS-003818.SED'), # PSNID
('snana-2006gq', 'SN IIP', 'SDSS-013376.SED'),
('snana-2006kn', 'SN IIP', 'SDSS-014450.SED'),
('snana-2006jl', 'SN IIP', 'SDSS-014599.SED'), # PSNID
('snana-2006iw', 'SN IIP', 'SDSS-015031.SED'),
('snana-2006kv', 'SN IIP', 'SDSS-015320.SED'),
('snana-2006ns', 'SN IIP', 'SDSS-015339.SED'),
('snana-2007iz', 'SN IIP', 'SDSS-017564.SED'),
('snana-2007nr', 'SN IIP', 'SDSS-017862.SED'),
('snana-2007kw', 'SN IIP', 'SDSS-018109.SED'),
('snana-2007ky', 'SN IIP', 'SDSS-018297.SED'),
('snana-2007lj', 'SN IIP', 'SDSS-018408.SED'),
('snana-2007lb', 'SN IIP', 'SDSS-018441.SED'),
('snana-2007ll', 'SN IIP', 'SDSS-018457.SED'),
('snana-2007nw', 'SN IIP', 'SDSS-018590.SED'),
('snana-2007ld', 'SN IIP', 'SDSS-018596.SED'),
('snana-2007md', 'SN IIP', 'SDSS-018700.SED'),
('snana-2007lz', 'SN IIP', 'SDSS-018713.SED'),
('snana-2007lx', 'SN IIP', 'SDSS-018734.SED'),
('snana-2007og', 'SN IIP', 'SDSS-018793.SED'),
('snana-2007ny', 'SN IIP', 'SDSS-018834.SED'),
('snana-2007nv', 'SN IIP', 'SDSS-018892.SED'),
('snana-2007pg', 'SN IIP', 'SDSS-020038.SED'),
('snana-2006ez', 'SN IIn', 'SDSS-012842.SED'),
('snana-2006ix', 'SN IIn', 'SDSS-013449.SED')]
for name, sntype, fn in models:
relpath = 'models/snana/' + fn
meta = {'url': url, 'subclass': subclass, 'type': sntype, 'ref': ref,
'note': note}
_SOURCES.register_loader(name, load_timeseries_ascii,
args=(relpath,), version='1.0', meta=meta)
# Pop III CC SN models from D.Whalen et al. 2013.
meta = {'type': 'PopIII',
'subclass': '`~sncosmo.TimeSeriesSource`',
'reference': ('Whalen13',
'Whalen et al. 2013 '
'<http://adsabs.harvard.edu/abs/2013ApJ...768...95W>'),
'note': "private communication (D.Whalen, May 2014)."}
for name, fn in [('whalen-z15b', 'popIII-z15B.sed.restframe10pc.dat'),
('whalen-z15d', 'popIII-z15D.sed.restframe10pc.dat'),
('whalen-z15g', 'popIII-z15G.sed.restframe10pc.dat'),
('whalen-z25b', 'popIII-z25B.sed.restframe10pc.dat'),
('whalen-z25d', 'popIII-z25D.sed.restframe10pc.dat'),
('whalen-z25g', 'popIII-z25G.sed.restframe10pc.dat'),
('whalen-z40b', 'popIII-z40B.sed.restframe10pc.dat'),
('whalen-z40g', 'popIII-z40G.sed.restframe10pc.dat')]:
relpath = 'models/whalen/' + fn
_SOURCES.register_loader(name, load_timeseries_ascii,
args=(relpath, True), version='1.0', meta=meta)
# MLCS2k2
def load_mlcs2k2(relpath, name=None, version=None):
abspath = DATADIR.abspath(relpath)
return MLCS2k2Source(abspath, name=name, version=version)
meta = {'type': 'SN Ia',
'subclass': '`~sncosmo.MLCS2k2Source`',
'reference': ('Jha07',
'Jha, Riess and Kirshner 2007 '
'<http://adsabs.harvard.edu/abs/2007ApJ...659..122J>'),
'note': 'In MLCS2k2 language, this version corresponds to '
'"MLCS2k2 v0.07 rv19-early-smix vectors"'}
_SOURCES.register_loader('mlcs2k2', load_mlcs2k2,
args=('models/mlcs2k2/mlcs2k2.modelflux.v1.0.fits',),
version='1.0', meta=meta)
# SNEMO
def load_snemo(relpath, name=None, version=None):
abspath = DATADIR.abspath(relpath)
return SNEMOSource(abspath, name=name, version=version)
for name, file, ver in [('snemo2', 'snemo2_ev.dat', '1.0'),
('snemo7', 'snemo7_ev.dat', '1.0'),
('snemo15', 'snemo15_ev.dat', '1.0')]:
meta = {'type': 'SN Ia', 'subclass': '`~sncosmo.SNEMOSource`',
'url': 'https://snfactory.lbl.gov/snemo/',
'reference': ('Saunders18',
'Saunders et al. 2018 '
'<https://arxiv.org/abs/1810.09476>')}
_SOURCES.register_loader(name, load_snemo,
args=['models/snemo/'+file],
version=ver, meta=meta)
# P18
p18Models_CC = [('snana-2004fe', 'SN Ic', 'CSP-2004fe.SED'),
('snana-2004gq', 'SN Ic', 'CSP-2004gq.SED'),
('snana-sdss004012', 'SN Ic', 'SDSS-004012.SED'), # no IAU
('snana-2006fo', 'SN Ic', 'SDSS-013195.SED'), # PSNID
('snana-sdss014475', 'SN Ic', 'SDSS-014475.SED'), # no IAU
('snana-2006lc', 'SN Ic', 'SDSS-015475.SED'),
('snana-2007ms', 'SN II-pec', 'SDSS-017548.SED'),
('snana-04d1la', 'SN Ic', 'SNLS-04D1la.SED'),
('snana-04d4jv', 'SN Ic', 'SNLS-04D4jv.SED'),
('snana-2004gv', 'SN Ib', 'CSP-2004gv.SED'),
('snana-2006ep', 'SN Ib', 'CSP-2006ep.SED'),
('snana-2007Y', 'SN Ib', 'CSP-2007Y.SED'),
('snana-2004ib', 'SN Ib', 'SDSS-000020.SED'),
('snana-2005hm', 'SN Ib', 'SDSS-002744.SED'), # PSNID
('snana-2006jo', 'SN Ib', 'SDSS-014492.SED'), # PSNID
('snana-2007nc', 'SN Ib', 'SDSS-019323.SED'),
('snana-2004hx', 'SN IIP', 'SDSS-000018.SED'), # PSNID
('snana-2005gi', 'SN IIP', 'SDSS-003818.SED'), # PSNID
('snana-2006gq', 'SN IIP', 'SDSS-013376.SED'),
('snana-2006kn', 'SN IIP', 'SDSS-014450.SED'),
('snana-2006jl', 'SN IIP', 'SDSS-014599.SED'), # PSNID
('snana-2006iw', 'SN IIP', 'SDSS-015031.SED'),
('snana-2006kv', 'SN IIP', 'SDSS-015320.SED'),
('snana-2006ns', 'SN IIP', 'SDSS-015339.SED'),
('snana-2007iz', 'SN IIP', 'SDSS-017564.SED'),
('snana-2007nr', 'SN IIP', 'SDSS-017862.SED'),
('snana-2007kw', 'SN IIP', 'SDSS-018109.SED'),
('snana-2007ky', 'SN IIP', 'SDSS-018297.SED'),
('snana-2007lj', 'SN IIP', 'SDSS-018408.SED'),
('snana-2007lb', 'SN IIP', 'SDSS-018441.SED'),
('snana-2007ll', 'SN IIP', 'SDSS-018457.SED'),
('snana-2007nw', 'SN IIP', 'SDSS-018590.SED'),
('snana-2007ld', 'SN IIP', 'SDSS-018596.SED'),
('snana-2007md', 'SN IIP', 'SDSS-018700.SED'),
('snana-2007lz', 'SN IIP', 'SDSS-018713.SED'),
('snana-2007lx', 'SN IIP', 'SDSS-018734.SED'),
('snana-2007og', 'SN IIP', 'SDSS-018793.SED'),
('snana-2007ny', 'SN IIP', 'SDSS-018834.SED'),
('snana-2007nv', 'SN IIP', 'SDSS-018892.SED'),
('snana-2007pg', 'SN IIP', 'SDSS-020038.SED')]
ref = ('SNSEDExtend', 'Pierel et al. 2018'
'<https://arxiv.org/abs/1808.02534>')
for name, sntype, fn in p18Models_CC:
relpath = os.path.join('models', 'pierel', fn)
meta = {'subclass': '`~sncosmo.TimeSeriesSource`', 'type': sntype,
'ref': ref}
_SOURCES.register_loader(name, load_timeseries_ascii,
args=(relpath,), version='2.0', meta=meta)
meta = {'type': 'SN Ia',
'subclass': '`~sncosmo.SALT2Source`', 'ref': ref}
_SOURCES.register_loader('salt2-extended', load_salt2model,
args=('models/pierel/salt2-extended',), version='2.0',
meta=meta)
# =============================================================================
# MagSystems
def load_ab(name=None):
return ABMagSystem(name=name)
def load_spectral_magsys_fits(relpath, name=None):
abspath = DATADIR.abspath(relpath)
hdulist = fits.open(abspath)
dispersion = hdulist[1].data['WAVELENGTH']
flux_density = hdulist[1].data['FLUX']
hdulist.close()
refspectrum = Spectrum(dispersion, flux_density,
unit=(u.erg / u.s / u.cm**2 / u.AA), wave_unit=u.AA)
return SpectralMagSystem(refspectrum, name=name)
def load_csp(name=None):
# Values transcribed from
# http://csp.obs.carnegiescience.edu/data/filters
# on 13 April 2017
return CompositeMagSystem(bands={'cspu': ('bd17', 10.519),
'cspg': ('bd17', 9.644),
'cspr': ('bd17', 9.352),
'cspi': ('bd17', 9.250),
'cspb': ('vega', 0.030),
'cspv3014': ('vega', 0.0096),
'cspv3009': ('vega', 0.0096),
'cspv9844': ('vega', 0.0096),
'cspys': ('vega', 0.),
'cspjs': ('vega', 0.),
'csphs': ('vega', 0.),
'cspk': ('vega', 0.),
'cspyd': ('vega', 0.),
'cspjd': ('vega', 0.),
'csphd': ('vega', 0.)},
name=name)
def load_ab_b12(name=None):
# offsets are in the sense (mag_SDSS - mag_AB) = offset
# -> for example: a source with AB mag = 0. will have SDSS mag = 0.06791
bands = {'sdssu': ('ab', 0.06791),
'sdssg': ('ab', -0.02028),
'sdssr': ('ab', -0.00493),
'sdssi': ('ab', -0.01780),
'sdssz': ('ab', -0.01015)}
# add aliases for above
for letter in 'ugriz':
bands['sdss::' + letter] = bands['sdss' + letter]
families = {'megacampsf::u': ('ab', 0.0),
'megacampsf::g': ('ab', 0.0),
'megacampsf::r': ('ab', 0.0),
'megacampsf::i': ('ab', 0.0),
'megacampsf::z': ('ab', 0.0),
'megacampsf::y': ('ab', 0.0)}
return CompositeMagSystem(bands=bands, families=families, name=name)
def load_jla1(name=None):
"""JLA1 magnitude system based on BD+17 STIS v003 spectrum"""
base = load_spectral_magsys_fits("spectra/bd_17d4708_stisnic_003.fits")
bands = {'standard::u': (base, 9.724),
'standard::b': (base, 9.907),
'standard::v': (base, 9.464),
'standard::r': (base, 9.166),
'standard::i': (base, 8.846),
'keplercam::us': (base, 9.724),
'keplercam::b': (base, 9.8803),
'keplercam::v': (base, 9.4722),
'keplercam::r': (base, 9.3523),
'keplercam::i': (base, 9.2542),
'4shooter2::us': (base, 9.724),
'4shooter2::b': (base, 9.8744),
'4shooter2::v': (base, 9.4789),
'4shooter2::r': (base, 9.1554),
'4shooter2::i': (base, 8.8506),
'swope2::u': (base, 10.514),
'swope2::g': (base, 9.64406),
'swope2::r': (base, 9.3516),
'swope2::i': (base, 9.25),
'swope2::b': (base, 9.876433),
'swope2::v': (base, 9.476626),
'swope2::v1': (base, 9.471276),
'swope2::v2': (base, 9.477482)}
return CompositeMagSystem(bands=bands, name=name)
_MAGSYSTEMS.register_loader(
'jla1', load_jla1,
meta={'subclass': '`~sncosmo.CompositeMagSystem`',
'url': 'http://supernovae.in2p3.fr/sdss_snls_jla/ReadMe.html',
'description': ('JLA1 magnitude system based on BD+17 '
'STIS v003 spectrum')})
_MAGSYSTEMS.alias('vega2', 'jla1')
# AB
_MAGSYSTEMS.register_loader(
'ab', load_ab,
meta={'subclass': '`~sncosmo.ABMagSystem`',
'description': 'Source of 3631 Jy has magnitude 0 in all bands'})
# Vega, BD17
website = 'ftp://ftp.stsci.edu/cdbs/calspec/'
subclass = '`~sncosmo.SpectralMagSystem`'
vega_desc = 'Vega (alpha lyrae) has magnitude 0 in all bands.'
bd17_desc = 'BD+17d4708 has magnitude 0 in all bands.'
for name, fn, desc in [('vega', 'alpha_lyr_stis_007.fits', vega_desc),
('bd17', 'bd_17d4708_stisnic_005.fits', bd17_desc)]:
_MAGSYSTEMS.register_loader(name, load_spectral_magsys_fits,
args=('spectra/' + fn,),
meta={'subclass': subclass, 'url': website,
'description': desc})
# CSP
_MAGSYSTEMS.register_loader(
'csp', load_csp,
meta={'subclass': '`~sncosmo.CompositeMagSystem`',
'url': 'http://csp.obs.carnegiescience.edu/data/filters',
'description': 'Carnegie Supernova Project magnitude system.'})
# ab_b12
_MAGSYSTEMS.register_loader(
'ab-b12', load_ab_b12,
meta={'subclass': '`~sncosmo.CompositeMagSystem`',
'url': 'http://supernovae.in2p3.fr/sdss_snls_jla/ReadMe.html',
'description': 'Betoule et al (2012) calibration of SDSS system.'})
_MAGSYSTEMS.alias('ab_b12', 'ab-b12')
_MAGSYSTEMS.alias('vegahst', 'vega')