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Merge pull request #76 from pllim/phoenix-stellar
DOC: Phoenix is stellar models
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doc/source/appendixa.rst

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@@ -24,6 +24,8 @@ Stellar models:
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|:ref:`pysynphot-appendixa-ck04` |$PYSYN_CDBS/grid/ck04models |Yes |
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+-------------------------------------+-------------------------------+ |
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|:ref:`pysynphot-appendixa-kurucz1993`|$PYSYN_CDBS/grid/k93models | |
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+-------------------------------------+-------------------------------+ |
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|:ref:`pysynphot-appendixa-phoenix` |$PYSYN_CDBS/grid/phoenix | |
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+-------------------------------------+-------------------------------+--------------+
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|:ref:`pysynphot-appendixa-calspec` |$PYSYN_CDBS/calspec |No |
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+-------------------------------------+-------------------------------+ |
@@ -45,8 +47,6 @@ Non-stellar models:
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+-------------------------------------+-------------------------------+--------------+
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|Atlas/Catalog |Installation Path |Interpolatable|
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+=====================================+===============================+==============+
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|:ref:`pysynphot-appendixa-phoenix` |$PYSYN_CDBS/grid/phoenix |Yes |
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+-------------------------------------+-------------------------------+--------------+
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|:ref:`pysynphot-appendixa-bc95` |$PYSYN_CDBS/grid/bc95/templates|No |
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+-------------------------------------+-------------------------------+ |
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|:ref:`pysynphot-appendixa-kc96` |$PYSYN_CDBS/grid/kc96 | |
@@ -173,6 +173,36 @@ The easier way to to use `~pysynphot.catalog.Icat` (also see
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>>> sp = S.Icat('k93models', 10000, 0.1, 3.0)
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.. _pysynphot-appendixa-phoenix:
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Phoenix Models
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==============
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The ``$PYSYN_CDBS/grid/phoenix`` directory contains models provided by
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`F. Allard et al. <http://perso.ens-lyon.fr/france.allard/>`_
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and can be found in the
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`Star, Brown Dwarf, and Planet Simulator <http://phoenix.ens-lyon.fr/simulator/index.faces>`_. They use static, spherical symmetric, 1D simulations to completely
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describe the atmospheric emission spectrum. The models account for the
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formation of molecular bands, such as those of water vapor, methane, or
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titanium dioxide, solving for the transfer equation over more than 20,000
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wavelength points on average, producing synthetic spectra with 2 Angstroms
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resolution. The line selection is repeated at each iteration of the model
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until it has converged and the thermal structure obtained. The models here
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are calculated with a cloud model, valid across the entire parameter range.
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See
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`Phoenix models README file <http://www.stsci.edu/hst/observatory/crds/SIfileInfo/pysynphottables/index_phoenix_models_html>`_
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for more details.
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The atlas data files are organized in a similar naming convention as
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:ref:`pysynphot-appendixa-kurucz1993`, and are easily accessible using
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`~pysynphot.catalog.Icat` (also see :ref:`pysynphot-spec-atlas`).
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The example below generates a spectrum with metallicity :math:`\log Z = +0.1`,
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temperature :math:`T_{\textnormal{eff}} = 10000 \textnormal{K}`, and gravity
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:math:`\log g = 3.0`:
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>>> sp = S.Icat('phoenix', 10000, 0.1, 3.0)
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.. _pysynphot-appendixa-calspec:
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HST Calibration Spectra
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>>> sp = S.FileSpectrum(filename)
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.. _pysynphot-appendixa-phoenix:
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Phoenix Models
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==============
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The ``$PYSYN_CDBS/grid/phoenix`` directory contains models provided by
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`F. Allard et al. <http://perso.ens-lyon.fr/france.allard/>`_
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and can be found in the
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`Star, Brown Dwarf, and Planet Simulator <http://phoenix.ens-lyon.fr/simulator/index.faces>`_. They use static, spherical symmetric, 1D simulations to completely
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describe the atmospheric emission spectrum. The models account for the
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formation of molecular bands, such as those of water vapor, methane, or
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titanium dioxide, solving for the transfer equation over more than 20,000
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wavelength points on average, producing synthetic spectra with 2 Angstroms
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resolution. The line selection is repeated at each iteration of the model
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until it has converged and the thermal structure obtained. The models here
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are calculated with a cloud model, valid across the entire parameter range.
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See
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`Phoenix models README file <http://www.stsci.edu/hst/observatory/crds/SIfileInfo/pysynphottables/index_phoenix_models_html>`_
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for more details.
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The atlas data files are organized in a similar naming convention as
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:ref:`pysynphot-appendixa-kurucz1993`, and are easily accessible using
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`~pysynphot.catalog.Icat` (also see :ref:`pysynphot-spec-atlas`).
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The example below generates a spectrum with metallicity :math:`\log Z = +0.1`,
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temperature :math:`T_{\textnormal{eff}} = 10000 \textnormal{K}`, and gravity
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:math:`\log g = 3.0`:
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>>> sp = S.Icat('phoenix', 10000, 0.1, 3.0)
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.. _pysynphot-appendixa-bc95:
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Bruzual-Charlot Atlas

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