The Apache Point Observatory Catalog of Optical Diffuse Interstellar Bands

Fan, Haoyu; Hobbs, L. M.; Dahlstrom, Julie; Welty, D. E.; York, Donald G.; Rachford, B. L.; Snow, Theodore P.; Sonnentrucker, Paule; Baskes, Noah; Zhao, Gang

doi:10.3847/1538-4357/ab1b74

Cited by 68 publications

(96 citation statements)

References 117 publications

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“…As quoted in OBT19, 168 DIBs are tentatively detected only in HD 183143 and 107 in HD 204827 as reported by Hobbs et al (2009Hobbs et al ( , 2008. We here retain only those confirmed in the recent Apache Point catalogue of Fan et al 2019, that is, 150 in HD 183143 and 91 in HD 204827. Their overwhelming presence at short wavelength in HD 204827 (89% at λ < 6200 Å) and at long wavelength in HD 183143 (65% at λ > 6500 Å) additionally supports the correlation of the ratio R 21 with λ and therefore the λ/UV correlation.…”

Section: Dibs Detected On a Single Sightlinesupporting

confidence: 62%

“…Herbig 1995;Cami et al 1997;Vos et al 2011;Ensor et al 2017;Fan et al 2017;Thorburn et al 2003;Kaźmierczak et al 2010;Elyajouri et al 2018). (Hobbs et al 2009(Hobbs et al , 2008 that have recently been confirmed in the Apache Point catalogue of Fan et al (2019) for an FWHM <3 Å (out of 509 DIBs, there are 19 with FWHM >3 Å). b) Histogram of the values of the band width of the DIBs, identified as C2 (black), ζ (red), and σ (green) ( Table 1), detected in the lines of sight of HD 183143 or HD 204827, for FWHM <3 Å (out of 12 σ DIBs, there are 4 with FWHM >3 Å).…”

Section: Introductionmentioning

confidence: 85%

“…In order to better understand the λ-UV correlation, it is therefore much simpler to address its dependence on the DIB width, which is relatively easy to measure for all DIBs (e.g. Fan et al 2019) and is related to the families. It is known that most of the ζ DIBs display a structured narrow profile (e.g.…”

Section: Narrow and Broad Dibsmentioning

confidence: 99%

“…1b). The histogram of the bandwidth full width at halfmaximum (FWHM), taken from the Apache Point catalogue of Fan et al (2019), of the 509 DIBs detected in the sightlines of HD 183143 (number 1) or HD 204827 (number 2) by Hobbs et al (2009Hobbs et al ( , 2008 and confirmed in Fan et al (2019), is displayed in Fig. 1a, while the histograms of their equivalent widths, EW1 and EW2, respectively, are shown in Fig.…”

Section: Narrow and Broad Dibsmentioning

confidence: 99%

“…It remains somewhat artificial because it depends on the adopted choice for the intensity of undetected DIBs. Nevertheless, Figure 6 shows Several tens of DIBs are now detected outside the range of the catalogues of Fan et al (2019) and Hobbs et al (2008Hobbs et al ( , 2009, in the near-infrared from 0.8 to 2.4 µm (Joblin et al (1990); Geballe et al 2011Geballe et al , 2014Cox et al 2014;Elyajouri et al 2016Hamano et al 2016Hamano et al , 2018Galazutdinov et al 2017), including the C + 60 DIBs near 9600 Å and the 8620 Å "Gaia DIB" (e.g. Kos et al 2013;Puspitarini et al 2015;Krelowski et al 2019).…”

Section: Dibs Detected On a Single Sightlinementioning

confidence: 99%

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Correlation between UV resilience and wavelength of narrow diffuse interstellar bands

Omont

Bettinger

2020

A&A

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Carriers of diffuse interstellar bands (DIBs) still need to be identified. In a recent paper, we reported a correlation between the DIB wavelength and the apparent UV resilience (or boost) of their carriers. We proposed that this might be an indication of the important role of conjugated elongated molecules among the DIB carriers. The aim of this paper is to further understand the origin of this correlation. The analysis of 509 optical DIBs on the lines of sight of HD 183143 and/or HD 204827 reported in the literature shows that this correlation mainly implies the 386 narrow DIBs with a band width < 1.1 Å, which include most of the identified DIBs of the C2 and ζ families, while the majority of the 123 broader DIBs, including the identified σ DIBs, do not display such a correlation. We present a possible origin of this correlation from very strong bands of large conjugated elongated molecules, such as carbon chains, polyacenes, or other catacondensed polycyclic aromatic hydrocarbons. The total amount of carbon contained in all the carriers of these narrow DIBs is a very small fraction of the interstellar carbon if their oscillator strengths are ≥ 1. The amount of carbon locked in the carriers of the broader DIBs is higher, especially if their oscillator strengths are significantly weaker.

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Section: Dibs Detected On a Single Sightlinesupporting

confidence: 62%

Section: Introductionmentioning

confidence: 85%

Section: Narrow and Broad Dibsmentioning

confidence: 99%

Section: Narrow and Broad Dibsmentioning

confidence: 99%

Section: Dibs Detected On a Single Sightlinementioning

confidence: 99%

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Correlation between UV resilience and wavelength of narrow diffuse interstellar bands

Omont

Bettinger

2020

A&A

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Energetics of Formation of Cyclacenes from 2,3‐Didehydroacenes and Implications for Astrochemistry

Gupta

Omont

Bettinger

2020

Chemistry A European J

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The carriers of the diffuse interstellar bands (DIBs) are still largely unknown although polycyclic aromatic hydrocarbons, carbon chains, and fullerenes are likely candidates. A recent analysis of the properties of n‐acenes of general formula C4n+2H2n+4 suggested that these could be potential carriers of some DIBs. Dehydrogenation reactions of n‐acenes after absorption of an interstellar UV photon may result in dehydroacenes. Here the reaction energies and barriers for formation of n‐cyclacenes from 2,3‐didehydroacenes (n‐DDA) by intramolecular Diels–Alder reaction to dihydro‐etheno‐cyclacenes (n‐DEC) followed by ejection of ethyne by retro‐Diels–Alder reactions are analyzed using thermally assisted occupation density functional theory (TAO‐DFT) for n=10–20. It is found that the barriers for each of the steps depend on the ring strain of the underlying n‐cyclacene, and that the ring strain of n‐DEC is about 75 % of that of the corresponding n‐cyclacene. In each case, ethyne extrusion is the step with the highest energy barrier, but these barriers are smaller than CH bond dissociation energies, suggesting that formation of cyclacenes is an energetically conceivable fate of n‐acenes after multiple absorption of UV photons.

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On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis

Rodríguez

Rodríguez‐Rodríguez

Woo

2022

WIREs Data Min & Knowl

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Since the beginning of the 21st century, the fields of astronomy and astrophysics have experienced significant growth at observational and computational levels, leading to the acquisition of increasingly huge volumes of data. In order to process this vast quantity of information, artificial intelligence (AI) techniques are being combined with data mining to detect patterns with the aim of modeling, classifying or predicting the behavior of certain astronomical phenomena or objects. Parallel to the exponential development of the aforementioned techniques, the scientific output related to the application of AI and machine learning (ML) in astronomy and astrophysics has also experienced considerable growth in recent years. Therefore, the increasingly abundant articles make it difficult to monitor this field in terms of which research topics are the most prolific or novel, or which countries or authors are leading them. In this article, a text‐mining‐based scientometric analysis of scientific documents published over the last three decades on the application of AI and ML in the fields of astronomy and astrophysics is presented. The VOSviewer software and data from the Web of Science (WoS) are used to elucidate the evolution of publications in this research field, their distribution by country (including co‐authorship), the most relevant topics addressed, and the most cited elements and most significant co‐citations according to publication source and authorship. The obtained results demonstrate how application of AI/ML to the fields of astronomy/astrophysics represents an established and rapidly growing field of research that is crucial to obtaining scientific understanding of the universe. This article is categorized under: Algorithmic Development > Text Mining Technologies > Machine Learning Application Areas > Science and Technology

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The Apache Point Observatory Catalog of Optical Diffuse Interstellar Bands

Cited by 68 publications

References 117 publications

Correlation between UV resilience and wavelength of narrow diffuse interstellar bands

Correlation between UV resilience and wavelength of narrow diffuse interstellar bands

Energetics of Formation of Cyclacenes from 2,3‐Didehydroacenes and Implications for Astrochemistry

On the application of machine learning in astronomy and astrophysics: A text‐mining‐based scientometric analysis

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