An Automated Chemical Exploration of NGC 6334I at 340 au Resolution

Much of the information gleaned from observations of star-forming regions comes from the analysis of their molecular emission spectra, particularly in the radio regime. The time-consuming nature of fitting synthetic spectra to observations interactively for such line-rich sources, however, often res...

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Main Authors: Samer J. El-Abd, Crystal L. Brogan, Todd R. Hunter, Kin Long Kelvin Lee, Ryan A. Loomis, Brett A. McGuire
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:The Astrophysical Journal
Subjects:
Online Access:https://doi.org/10.3847/1538-4357/ad283f
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author Samer J. El-Abd
Crystal L. Brogan
Todd R. Hunter
Kin Long Kelvin Lee
Ryan A. Loomis
Brett A. McGuire
author_facet Samer J. El-Abd
Crystal L. Brogan
Todd R. Hunter
Kin Long Kelvin Lee
Ryan A. Loomis
Brett A. McGuire
author_sort Samer J. El-Abd
collection DOAJ
description Much of the information gleaned from observations of star-forming regions comes from the analysis of their molecular emission spectra, particularly in the radio regime. The time-consuming nature of fitting synthetic spectra to observations interactively for such line-rich sources, however, often results in such analysis being limited to data extracted from a single-dish observation or a handful of pixels from an interferometric observation. Yet, star-forming regions display a wide variety of physical conditions that are difficult, if not impossible, to accurately characterize with such a limited number of spectra. We have developed an automated fitting routine that visits every pixel in the field of view of an Atacama Large Millimeter/submillimeter Array (ALMA) data cube and determines the best-fit physical parameters, including excitation temperature and column densities, for a given list of molecules. In this proof-of-concept work, we provide an overview of the fitting routine and apply it to 0.″26, 1.1 km s ^−1 resolution ALMA observations of two sites of massive star formation in NGC 6334I. Parameters were found for 21 distinct molecules by generating synthetic spectra across 7.48 GHz of spectral bandwidth between 280 and 351 GHz. Spatial images of the derived parameters for each of the >8000 pixels are presented with special attention paid to the C _2 H _4 O _2 isomers and their relative variations. We highlight the greater scientific utility of the column density and velocity images of individual molecules compared to traditional moment maps of single transitions.
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spelling doaj.art-03057ce7eef74b0daf417b66da5c81742024-04-01T12:13:42ZengIOP PublishingThe Astrophysical Journal1538-43572024-01-0196511410.3847/1538-4357/ad283fAn Automated Chemical Exploration of NGC 6334I at 340 au ResolutionSamer J. El-Abd0Crystal L. Brogan1https://orcid.org/0000-0002-6558-7653Todd R. Hunter2https://orcid.org/0000-0001-6492-0090Kin Long Kelvin Lee3https://orcid.org/0000-0002-1903-9242Ryan A. Loomis4https://orcid.org/0000-0002-8932-1219Brett A. McGuire5https://orcid.org/0000-0003-1254-4817Department of Astronomy, University of Virginia , Charlottesville, VA 22904, USA ; sje2tu@virginia.eduNational Radio Astronomy Observatory , Charlottesville, VA 22903, USA ; brettmc@mit.eduNational Radio Astronomy Observatory , Charlottesville, VA 22903, USA ; brettmc@mit.edu; Center for Astrophysics ∣ Harvard & Smithsonian , Cambridge, MA 02138, USADepartment of Chemistry, Massachusetts Institute of Technology , Cambridge, MA 02139, USANational Radio Astronomy Observatory , Charlottesville, VA 22903, USA ; brettmc@mit.eduNational Radio Astronomy Observatory , Charlottesville, VA 22903, USA ; brettmc@mit.edu; Department of Chemistry, Massachusetts Institute of Technology , Cambridge, MA 02139, USAMuch of the information gleaned from observations of star-forming regions comes from the analysis of their molecular emission spectra, particularly in the radio regime. The time-consuming nature of fitting synthetic spectra to observations interactively for such line-rich sources, however, often results in such analysis being limited to data extracted from a single-dish observation or a handful of pixels from an interferometric observation. Yet, star-forming regions display a wide variety of physical conditions that are difficult, if not impossible, to accurately characterize with such a limited number of spectra. We have developed an automated fitting routine that visits every pixel in the field of view of an Atacama Large Millimeter/submillimeter Array (ALMA) data cube and determines the best-fit physical parameters, including excitation temperature and column densities, for a given list of molecules. In this proof-of-concept work, we provide an overview of the fitting routine and apply it to 0.″26, 1.1 km s ^−1 resolution ALMA observations of two sites of massive star formation in NGC 6334I. Parameters were found for 21 distinct molecules by generating synthetic spectra across 7.48 GHz of spectral bandwidth between 280 and 351 GHz. Spatial images of the derived parameters for each of the >8000 pixels are presented with special attention paid to the C _2 H _4 O _2 isomers and their relative variations. We highlight the greater scientific utility of the column density and velocity images of individual molecules compared to traditional moment maps of single transitions.https://doi.org/10.3847/1538-4357/ad283fAstrochemistryComplex organic moleculesStar formationInterstellar medium
spellingShingle Samer J. El-Abd
Crystal L. Brogan
Todd R. Hunter
Kin Long Kelvin Lee
Ryan A. Loomis
Brett A. McGuire
An Automated Chemical Exploration of NGC 6334I at 340 au Resolution
The Astrophysical Journal
Astrochemistry
Complex organic molecules
Star formation
Interstellar medium
title An Automated Chemical Exploration of NGC 6334I at 340 au Resolution
title_full An Automated Chemical Exploration of NGC 6334I at 340 au Resolution
title_fullStr An Automated Chemical Exploration of NGC 6334I at 340 au Resolution
title_full_unstemmed An Automated Chemical Exploration of NGC 6334I at 340 au Resolution
title_short An Automated Chemical Exploration of NGC 6334I at 340 au Resolution
title_sort automated chemical exploration of ngc 6334i at 340 au resolution
topic Astrochemistry
Complex organic molecules
Star formation
Interstellar medium
url https://doi.org/10.3847/1538-4357/ad283f
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