Probing the Cold Neutral Medium through H I Emission Morphology with the Scattering Transform
Neutral hydrogen (H I ) emission exhibits complex morphology that encodes rich information about the physics of the interstellar medium. We apply the scattering transform (ST) to characterize the H I emission structure via a set of compact and interpretable coefficients, and find a connection betwee...
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Veröffentlicht in: | The Astrophysical journal 2023-04, Vol.947 (2), p.74 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Neutral hydrogen (H
I
) emission exhibits complex morphology that encodes rich information about the physics of the interstellar medium. We apply the scattering transform (ST) to characterize the H
I
emission structure via a set of compact and interpretable coefficients, and find a connection between the H
I
emission morphology and H
I
cold neutral medium (CNM) phase content. Where H
I
absorption measurements are unavailable, the H
I
phase structure is typically estimated from the emission via spectral line decomposition. Here, we present a new probe of the CNM content using measures that are solely derived from H
I
emission spatial information. We apply the ST to GALFA-H
I
data at high Galactic latitudes (
b
>
30
°
), and compare the resulting coefficients to CNM fraction measurements derived from archival H
I
emission and absorption spectra. We quantify the correlation between the ST coefficients and the measured CNM fraction (
f
CNM
), finding that the H
I
emission morphology encodes substantial
f
CNM
-correlating information and that ST-based metrics for small-scale linearity are particularly predictive of
f
CNM
. This is further corroborated by the enhancement of the
I
857
/
N
HI
ratio with larger ST measures of small-scale linearity. These results are consistent with the picture of regions with higher CNM content being more populated by small-scale filamentary H
I
structures. Our work illustrates a physical connection between the H
I
morphology and phase content, and suggests that future phase decomposition methods can be improved by making use of both H
I
spectral and spatial information. |
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ISSN: | 0004-637X 1538-4357 |
DOI: | 10.3847/1538-4357/acc02a |