Atomic Data Assessment with PyNeb: Radiative and Electron Impact Excitation Rates for [Fe <span style="font-variant: small-caps;">ii</span>] and [Fe <span style="font-variant: small-caps;">iii</span>]

We use the PyNeb 1.1.16 Python package to evaluate the atomic datasets available for the spectral modeling of [Fe <span style="font-variant: small-caps;">ii</span>] and [Fe <span style="font-variant: small-caps;">iii</span>], which list level energies, <...

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Main Authors: Claudio Mendoza, José E. Méndez-Delgado, Manuel Bautista, Jorge García-Rojas, Christophe Morisset
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Atoms
Subjects:
Online Access:https://www.mdpi.com/2218-2004/11/4/63
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author Claudio Mendoza
José E. Méndez-Delgado
Manuel Bautista
Jorge García-Rojas
Christophe Morisset
author_facet Claudio Mendoza
José E. Méndez-Delgado
Manuel Bautista
Jorge García-Rojas
Christophe Morisset
author_sort Claudio Mendoza
collection DOAJ
description We use the PyNeb 1.1.16 Python package to evaluate the atomic datasets available for the spectral modeling of [Fe <span style="font-variant: small-caps;">ii</span>] and [Fe <span style="font-variant: small-caps;">iii</span>], which list level energies, <i>A</i>-values, and effective collision strengths. Most datasets are reconstructed from the sources, and new ones are incorporated to be compared with observed and measured benchmarks. For [Fe <span style="font-variant: small-caps;">iii</span>], we arrive at conclusive results that allow us to select the default datasets, while for [Fe <span style="font-variant: small-caps;">ii</span>], the conspicuous temperature dependency on the collisional data becomes a deterrent. This dependency is mainly due to the singularly low critical density of the <inline-formula><math display="inline"><semantics><mrow><mn>3</mn><msup><mi mathvariant="normal">d</mi><mn>7</mn></msup><mspace width="4pt"></mspace><mi mathvariant="normal">a</mi><msup><mspace width="0.166667em"></mspace><mn>4</mn></msup><msub><mi mathvariant="normal">F</mi><mrow><mn>9</mn><mo>/</mo><mn>2</mn></mrow></msub></mrow></semantics></math></inline-formula> metastable level that strongly depends on both the radiative and collisional data, although the level populating by fluorescence pumping from the stellar continuum cannot be ruled out. A new version of PyNeb (1.1.17) is released containing the evaluated datasets.
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spelling doaj.art-f2394039925048dcaba8275f49733f372023-11-17T18:18:24ZengMDPI AGAtoms2218-20042023-04-011146310.3390/atoms11040063Atomic Data Assessment with PyNeb: Radiative and Electron Impact Excitation Rates for [Fe <span style="font-variant: small-caps;">ii</span>] and [Fe <span style="font-variant: small-caps;">iii</span>]Claudio Mendoza0José E. Méndez-Delgado1Manuel Bautista2Jorge García-Rojas3Christophe Morisset4Physics Center, Venezuelan Institute for Scientific Research (IVIC), Caracas 1020, VenezuelaAstronomisches Rechen-Institut, Zentrum für Astronomie der Universität Heidelberg, D-69120 Heidelberg, GermanyDepartment of Physics, Western Michigan University, Kalamazoo, MI 49008, USAInstituto de Astrofísica de Canarias (IAC), E-38205 La Laguna, SpainInstituto de Astronomía, Universidad Nacional Autónoma de México, Ensenada 22860, MexicoWe use the PyNeb 1.1.16 Python package to evaluate the atomic datasets available for the spectral modeling of [Fe <span style="font-variant: small-caps;">ii</span>] and [Fe <span style="font-variant: small-caps;">iii</span>], which list level energies, <i>A</i>-values, and effective collision strengths. Most datasets are reconstructed from the sources, and new ones are incorporated to be compared with observed and measured benchmarks. For [Fe <span style="font-variant: small-caps;">iii</span>], we arrive at conclusive results that allow us to select the default datasets, while for [Fe <span style="font-variant: small-caps;">ii</span>], the conspicuous temperature dependency on the collisional data becomes a deterrent. This dependency is mainly due to the singularly low critical density of the <inline-formula><math display="inline"><semantics><mrow><mn>3</mn><msup><mi mathvariant="normal">d</mi><mn>7</mn></msup><mspace width="4pt"></mspace><mi mathvariant="normal">a</mi><msup><mspace width="0.166667em"></mspace><mn>4</mn></msup><msub><mi mathvariant="normal">F</mi><mrow><mn>9</mn><mo>/</mo><mn>2</mn></mrow></msub></mrow></semantics></math></inline-formula> metastable level that strongly depends on both the radiative and collisional data, although the level populating by fluorescence pumping from the stellar continuum cannot be ruled out. A new version of PyNeb (1.1.17) is released containing the evaluated datasets.https://www.mdpi.com/2218-2004/11/4/63nebular modelingastrophysical softwareplasma diagnosticsatomic databasesatomic data assessment
spellingShingle Claudio Mendoza
José E. Méndez-Delgado
Manuel Bautista
Jorge García-Rojas
Christophe Morisset
Atomic Data Assessment with PyNeb: Radiative and Electron Impact Excitation Rates for [Fe <span style="font-variant: small-caps;">ii</span>] and [Fe <span style="font-variant: small-caps;">iii</span>]
Atoms
nebular modeling
astrophysical software
plasma diagnostics
atomic databases
atomic data assessment
title Atomic Data Assessment with PyNeb: Radiative and Electron Impact Excitation Rates for [Fe <span style="font-variant: small-caps;">ii</span>] and [Fe <span style="font-variant: small-caps;">iii</span>]
title_full Atomic Data Assessment with PyNeb: Radiative and Electron Impact Excitation Rates for [Fe <span style="font-variant: small-caps;">ii</span>] and [Fe <span style="font-variant: small-caps;">iii</span>]
title_fullStr Atomic Data Assessment with PyNeb: Radiative and Electron Impact Excitation Rates for [Fe <span style="font-variant: small-caps;">ii</span>] and [Fe <span style="font-variant: small-caps;">iii</span>]
title_full_unstemmed Atomic Data Assessment with PyNeb: Radiative and Electron Impact Excitation Rates for [Fe <span style="font-variant: small-caps;">ii</span>] and [Fe <span style="font-variant: small-caps;">iii</span>]
title_short Atomic Data Assessment with PyNeb: Radiative and Electron Impact Excitation Rates for [Fe <span style="font-variant: small-caps;">ii</span>] and [Fe <span style="font-variant: small-caps;">iii</span>]
title_sort atomic data assessment with pyneb radiative and electron impact excitation rates for fe span style font variant small caps ii span and fe span style font variant small caps iii span
topic nebular modeling
astrophysical software
plasma diagnostics
atomic databases
atomic data assessment
url https://www.mdpi.com/2218-2004/11/4/63
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