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arxiv: 2606.31507 · v1 · pith:HISGLQJYnew · submitted 2026-06-30 · 🌌 astro-ph.GA · astro-ph.IM

Interstellar filament detection and characterization: methods and implications for studies of magnetized interstellar medium

Pith reviewed 2026-07-01 04:30 UTC · model grok-4.3

classification 🌌 astro-ph.GA astro-ph.IM
keywords filament detectioninterstellar mediummagnetic fieldsmolecular cloudsstar formationmagnetohydrodynamicsobservational methods
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The pith

Filament detection methods for the interstellar medium fall into categories that differ in their suitability for studying alignments with magnetic fields.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

This review classifies existing filament detection techniques applied to interstellar medium observations into methodological categories based on their underlying principles. It illustrates how each category performs when applied to the same observational field and examines their limitations and advantages, with particular focus on studies of filament orientations relative to magnetic fields. A sympathetic reader would care because filament morphology and magnetic alignments serve as diagnostics for magnetohydrodynamic processes, turbulence, and gravitational accretion in molecular clouds and star formation. The paper concludes by offering perspectives on filament studies amid growing data volumes from continuum, spectroscopic, and polarization observations.

Core claim

The paper establishes a systematic overview of filament detection methods by grouping them into methodological categories, discussing their principles, demonstrating their application on one common observational field, and evaluating advantages and limitations especially for analyses of relative alignments between magnetic fields and filaments in the magnetized interstellar medium.

What carries the argument

The classification of filament detection approaches into methodological categories, which enables direct comparison of principles, performance on shared data, and implications for magnetic field alignment studies.

If this is right

  • Different method categories can produce varying conclusions about filament-magnetic field alignments from the same data.
  • Limitations of each category must be accounted for when using filaments as diagnostics of magnetohydrodynamic processes.
  • The classification helps evaluate which techniques are best suited for specific scientific questions in star formation studies.
  • Perspectives for future work include handling ever-growing volumes of astronomical data from multiple observational modes.

Where Pith is reading between the lines

These are editorial extensions of the paper, not claims the author makes directly.

  • The review's comparison framework could help researchers select detection methods matched to particular data characteristics or scientific goals.
  • Extending the single-field test to multiple independent regions might expose method-dependent biases more robustly.
  • Combining filament detection outputs with spectroscopic velocity information could refine characterizations of accretion and turbulence.

Load-bearing premise

A single observational field can serve as a fair and representative testbed for comparing all method categories without selection effects that favor certain techniques.

What would settle it

Demonstrating that the same set of methods applied to several distinct observational fields produces inconsistent patterns of filament-magnetic field alignments that depend on the chosen field would indicate the single-field illustration does not generalize.

Figures

Figures reproduced from arXiv: 2606.31507 by Dana Alina.

Figure 1
Figure 1. Figure 1: A part of Taurus molecular cloud. Left: Planck 353 GHz with 7’ resolution, right: Herschel 500 µm with 36’ resolution. The white square delimits the region used further in [PITH_FULL_IMAGE:figures/full_fig_p005_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: Results of the different filament detection methods applied to the same map, shown in the white rectangle in [PITH_FULL_IMAGE:figures/full_fig_p006_2.png] view at source ↗
read the original abstract

Filamentary structures are ubiquitous in the interstellar medium and play a key role in the evolution of molecular clouds and star formation. Their morphology and relative orientation with respect to magnetic fields have been widely used as a diagnostic of magnetohydrodynamic processes, turbulence, and gravitational accretion. In recent years, the growing availability of large continuum, spectroscopic, and polarization data stimulated the development of various filament detection techniques. In this review, we present a systematic overview of filament detection methods applied to observations of the interstellar medium. We classify the existing approaches into methodological categories, discuss underlying principles, illustrate their application on a same observational field, discuss limitations and advantages, in particular with respect to the studies of the relative alignment between magnetic fields and filaments. We conclude with presenting a point of view on the perspectives for filament studies in the era of ever-growing astronomical data volume.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

1 major / 1 minor

Summary. The manuscript is a review that classifies filament detection methods applied to interstellar medium observations into methodological categories, discusses their underlying principles, illustrates their application on a single shared observational field, evaluates limitations and advantages (with emphasis on magnetic field-filament alignment studies), and outlines perspectives for future work with increasing data volumes.

Significance. A systematic classification and side-by-side illustration of methods could help standardize choices in magnetized ISM studies and clarify biases in B-field alignment diagnostics. The single-field comparison is a potentially useful concrete element, but its value hinges on whether the chosen field is representative; without that, the comparative claims on advantages/limitations remain field-specific rather than general.

major comments (1)
  1. [Abstract] Abstract (and the section describing the illustration): the central comparative claim rests on applying all method categories to one observational field, yet no justification or quantification is given for how the field's column-density range, noise properties, or filament orientation distribution interact with each method's assumptions; this leaves open the possibility that observed performance differences are partly selection-driven rather than intrinsic.
minor comments (1)
  1. Clarify the exact criteria used to assign methods to categories and ensure each category is accompanied by at least one canonical reference.

Simulated Author's Rebuttal

1 responses · 0 unresolved

We thank the referee for their thoughtful review and constructive comments on our manuscript. We address the major comment point by point below and outline the revisions we will make.

read point-by-point responses
  1. Referee: [Abstract] Abstract (and the section describing the illustration): the central comparative claim rests on applying all method categories to one observational field, yet no justification or quantification is given for how the field's column-density range, noise properties, or filament orientation distribution interact with each method's assumptions; this leaves open the possibility that observed performance differences are partly selection-driven rather than intrinsic.

    Authors: We agree that the manuscript would benefit from greater transparency on this point. The chosen field was selected because it provides overlapping continuum, spectroscopic, and polarization data suitable for applying the full range of detection methods, and because its filamentary structures have been previously studied in the context of magnetic field alignment. However, we did not include explicit quantification of its column-density distribution, noise characteristics, or filament orientation statistics relative to each method's assumptions. We will revise the abstract and the illustration section to (i) state the selection criteria for the field, (ii) summarize its key observational properties (column-density range, noise level, and orientation distribution), and (iii) clarify that the side-by-side application serves as an illustrative demonstration rather than a statistically general ranking of method performance. These changes will make explicit that any observed differences are tied to the specific field properties and will prevent over-generalization of the comparative claims. revision: yes

Circularity Check

0 steps flagged

No circularity: purely descriptive survey of external methods

full rationale

This is a review paper that classifies existing filament detection techniques from the literature, discusses their principles, and illustrates application on one shared observational field. It contains no derivations, predictions, fitted parameters, or uniqueness theorems. All content references external work without self-referential reduction of claims to the paper's own inputs. The single-field illustration is a methodological choice for comparison, not a derivation that collapses by construction. Score 0 is the appropriate finding for a self-contained descriptive survey.

Axiom & Free-Parameter Ledger

0 free parameters · 0 axioms · 0 invented entities

Review paper; no new mathematical derivations, fitted parameters, or postulated entities are introduced.

pith-pipeline@v0.9.1-grok · 5669 in / 813 out tokens · 24879 ms · 2026-07-01T04:30:19.645083+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

104 extracted references · 3 canonical work pages

  1. [1]

    From filamentary clouds to prestellar cores to the stellar IMF: Initial highlights from the Herschel Gould Belt Survey

    André, P .; Men’shchikov , A.; Bontemps, S.; Könyves, V .; Motte, F.; Schneider, N. From filamentary clouds to prestellar cores to the stellar IMF: Initial highlights from the Herschel Gould Belt Survey . Astron. Astrophys. 2010, 518, L102

  2. [2]

    Clouds, filaments and protostars: The Herschel Hi-GAL Milky Way .A&A 2010, 518, L100

    Molinari, S.; Swinyard, B.; Bally , J.; Barlow, M.; Bernard, J.P .; Martin, P . Clouds, filaments and protostars: The Herschel Hi-GAL Milky Way .A&A 2010, 518, L100

  3. [3]

    Filamentary structures and compact objects in the Aquila and Polaris clouds observed by Herschel

    Men’shchikov , A.; André, P .; Didelon, P .; Könyves, V .; Schneider, N.; Motte, F.; Bontemps, S.; Arzoumanian, D.; Attard, M.; Abergel, A.; et al. Filamentary structures and compact objects in the Aquila and Polaris clouds observed by Herschel. Astron. Astrophys. 2010, 518, L103

  4. [4]

    How filaments of galaxies are woven into the cosmic web

    Bond, J.R.; Kofman, L.; Pogosyan, D. How filaments of galaxies are woven into the cosmic web. Nature 1996, 380, 603–606

  5. [5]

    Automatic Solar Filament Segmentation and Characterization

    Yuan, Y .; Shih, F.Y .; Jing, J.; Wang, H.; Chae, J. Automatic Solar Filament Segmentation and Characterization. Sol. Phys. 2011, 272, 101

  6. [6]

    The persistent cosmic web and its filamentary structure—I: Theory and implementation

    Sousbie, T. The persistent cosmic web and its filamentary structure—I: Theory and implementation. Mon. Not. R. Astron. Soc. 2011, 401

  7. [7]

    The Turbulent Shock Origin of Proto-Stellar Cores

    Padoan, P .; Juvela, M.; Goodman, A.A.; Nordlund, A. The Turbulent Shock Origin of Proto-Stellar Cores. Astrophys. J. 2001, 553, 227–234

  8. [8]

    Fragmentation of Shocked Flows: Gravity , Turbulence, and Cooling

    Heitsch, F.; Hartmann, L.W.; Burkert, A. Fragmentation of Shocked Flows: Gravity , Turbulence, and Cooling. Astrophys. J. 2008, 683, 786–795

  9. [9]

    Modeling Collapse and Accretion in Turbulent Gas Clouds: Implementation and Comparison of Sink Particles in AMR and SPH

    Federrath, C.; Banerjee, R.; Clark, P .C.; Klessen, R.S. Modeling Collapse and Accretion in Turbulent Gas Clouds: Implementation and Comparison of Sink Particles in AMR and SPH. Astrophys. J. 2010, 713, 269–290

  10. [10]

    Turbulent molecular clouds

    Hennebelle, P .; Falgarone, E. Turbulent molecular clouds. Astron. Astrophys. 2012, 20, 55

  11. [11]

    Probing the role of the magnetic field in the formation of structure in molecular clouds

    Ade, P .A.R.; Aghanim, N.; Alves, M.I.R.; Arnaud, M.; Arzoumanian, D.; Ashdown, M.; Aumont, J.;Baccigalupi, C.; B..; et al. Probing the role of the magnetic field in the formation of structure in molecular clouds. Astron. Astrophys. 2016, 586,A138

  12. [12]

    Magnetic Fields in Molecular Clouds

    Crutcher, R. Magnetic Fields in Molecular Clouds. Annu. Rev. Astron. Astrophys. 2012, 50, 29–64

  13. [13]

    Does near-infrared polarimetry reveals the magnetic field in cold dark clouds?

    Goodman, A.A.; Jones, T.J.; Lada, E.A. Does near-infrared polarimetry reveals the magnetic field in cold dark clouds?. Astrophys. J. 1995, 448, 748–765

  14. [14]

    First observations of the magnetic field geometry in prestellar cores

    Ward-Thompson, D.; Kirk, J.M. First observations of the magnetic field geometry in prestellar cores. Astrophys. J. 2000, 537, 135–138

  15. [15]

    Ade, P . A. R.; Aghanim, N.; Alina, D.; Alves,M. I. R.; Armitage-Caplan, C.; Arnaud, M.; Arzoumanian, D.; Ashdown, M.;Atrio- Barandela, F.; Aumont, J.; Baccigalupi, C.; Banday , A. J.;Barreiro, R. B.; et al. Planckintermediate results. XIX. An overview of the polarized thermal emission from Galactic dust. Astron. Astrophys. 2015, 576, A104

  16. [18]

    Cores, filaments, and bundles: hierarchical core formation in the L1495/B213 Taurus region

    Hacar, A.; Tafalla, M.; Kauffmann, J.; Kovács, A. Cores, filaments, and bundles: hierarchical core formation in the L1495/B213 Taurus region. Astron. Astrophys. 2013, 554, A55

  17. [19]

    What are we learning from the relative orientation between density structures and the magnetic field in molecular clouds? Astron

    Soler, J.D.; Hennebelle, P . What are we learning from the relative orientation between density structures and the magnetic field in molecular clouds? Astron. Astrophys. 2017, 603, A64

  18. [20]

    Ade, P .A.R.; Aghanim, N.; Alves, M.I.R.; Arnaud, M.; Arzoumanian, D.; Aumont, J.; Baccigalupi, C.; Banday , A.J.; Barreiro, R.B.; Bartolo, N.; et al Planck intermediate results. XXXIII. Signature of the magnetic field geometry of interstellar filaments in dust polarization maps. Astron. Astrophys. 2016, 586, A136

  19. [21]

    The JCMT Gould Belt Survey: first results from SCUBA-2 observations of the Cepheus Flare region

    Pattle, K.; Ward-Thompson, D.; Kirk, J.M.; Di Francesco, J.; Kirk, H.; Mottram, J.C.; Keown, J.; Buckle, J.; Beaulieu, S.F.; Berry , D.S.; et al. The JCMT Gould Belt Survey: first results from SCUBA-2 observations of the Cepheus Flare region. Mon. Not. R. Astron. Soc. 2017, 464, 4255–4281

  20. [22]

    Statistical analysis of the interplay between interstellar magnetic fields and filaments hosting Planck Galactic cold clumps

    Alina, D.; Ristorcelli, I.; Montier, L.; Abdikamalov , E.; Juvela, M.; Ferrière; Bernard, J.P .; Micelotta, E.M. Statistical analysis of the interplay between interstellar magnetic fields and filaments hosting Planck Galactic cold clumps. Mon. Not. R. Astron. Soc. 2019, 485, 2825–2843

  21. [23]

    Interferometric observations of magnetic fields in forming stars

    Hull, C.L.H.; Zhang, Q. Interferometric observations of magnetic fields in forming stars. Front. Astron. Space Sci. 2019, 6, 3

  22. [24]

    The role of magnetic field in molecular cloud formation and evolution

    Hennebelle, P .; Inutsuka, S.I. The role of magnetic field in molecular cloud formation and evolution. Front. Astron. Space Sci. 2019, 6, 5

  23. [25]

    Magnetized filamentary gas flows feeding the young embedded cluster in Serpens South

    Pillai, T.G.S.; Clemens, D.P .; Reissl, S.; Myers, P .C.; Kauffmann, J.; Lopez-Rodriguez, E.; Alves, F.O.; Franco, G.A.P .; Henshaw, J.; Menten, K.M.; et al. Magnetized filamentary gas flows feeding the young embedded cluster in Serpens South. Nat. Astron. 2020, 4, 1195–1201

  24. [26]

    Gravity-driven Magnetic Field at 1000 au Scales in High-mass Star Formation

    Sanhueza, P .; Girart, J.M.; Padovani, M.; Galli, D.; Hull, C.L.H.; Zhang, Q.; Cortes, P .; Stephens, I.W.; Fernández-López, M.; Jackson, J.M.; et al. Gravity-driven Magnetic Field at 1000 au Scales in High-mass Star Formation. Astrophys. J. 2021, 915, L10

  25. [27]

    Filament identification through mathematical morphology

    Koch, E.W.; Rosolowsky , E.W. Filament identification through mathematical morphology . Mon. Not. R. Astron. Soc. 2015, 452, 3435–3450

  26. [28]

    A multi-scale filament extraction method: Getfilaments

    Men’shchikov , A. A multi-scale filament extraction method: Getfilaments. Astron. Astrophys. 2013, 560, A63

  27. [29]

    magnetically aligned HI fibers and the rolling hough transform

    Clark, S.E.; Peek, J.E.G.; Putman, M.E. magnetically aligned HI fibers and the rolling hough transform. Astrophys. J. 2014, 789, 82

  28. [30]

    Template matching method for the analysis of interstellar cloud structure

    Juvela, M. Template matching method for the analysis of interstellar cloud structure. Astron. Astrophys. 2016, 593, A58

  29. [31]

    FilDReaMS—I: Presentation of a new method for Filament Detection and Reconstruction at Multiple Scales

    Carrière, J.S.; Montier, L.; Ferrière, K.; Ristorcelli, I. FilDReaMS—I: Presentation of a new method for Filament Detection and Reconstruction at Multiple Scales. Astronomy Astrophysics 2022, 668, A41

  30. [32]

    MaLeFiSenta: Machine Learning for FilamentS Identification and orientation in the ISM

    Alina, D.; Shomanov , A.; Baimukhametova, S. MaLeFiSenta: Machine Learning for FilamentS Identification and orientation in the ISM. IEEE Access 2022, 10, 74472–74482

  31. [33]

    Supervised machine learning on Galactic filaments

    Zavagno, A.; Dupé, F.X.; Bensaid, S.; Schisano, E.; Li Causi, G.; Gray , M.; Molinari, S.; Elia, D.; Lambert, J.C.; Brescia, M.; et al. Supervised machine learning on Galactic filaments. Revealing the filamentary structure of the Galactic interstellar medium. Astron. Astrophys. 2023, 669, A120

  32. [34]

    Deep Learning for Position Angle Quantification Applied to Interstellar Filaments

    Umetaliev , T.; Alina, D.; Salmenova, A. Deep Learning for Position Angle Quantification Applied to Interstellar Filaments. Astron. J. 2025, 170, 207

  33. [35]

    Helical fields and filamentary molecular clouds - I

    Fiege, J.; Pudritz, R.E. Helical fields and filamentary molecular clouds - I. Mon. Not. R. Astron. Soc. 2000, 311, 85–104

  34. [36]

    An Imprint of Molecular Cloud Magnetization in the Morphology of the Dust Polarized Emission

    Soler, J.D.; Hennebelle, P .; Martin, P .G.; Miville-Deschênes, M.A.; Netterfield, C.B.; Fissel, L.M. An Imprint of Molecular Cloud Magnetization in the Morphology of the Dust Polarized Emission. Astrophys. J. 2013, 774, 128

  35. [37]

    HI4PI: A full-sky H I survey based on EBHIS and GASS

    Collaboration, H.; Ben Bekhti, N.; Flöer, L.; Keller, R.; Kerp, J.; Lenz, D.; Winkel, B.; Bailin, J.; Calabretta, M.R.; Dedes, L.; et al. HI4PI: A full-sky H I survey based on EBHIS and GASS. Astron. Astrophys. 2016, 594, A116

  36. [38]

    CHIMPS2: survey description and 12CO emission in the Galactic Centre

    Eden, D.J.; Moore, T.J.T.; Currie, M.J.; Rigby , A.J.; Rosolowsky , E.; Su, Y .; Kim, K.T.; Parsons, H.; Morata, O.; et al. CHIMPS2: survey description and 12CO emission in the Galactic Centre. Mon. Not. R. Astron. Soc. 2020, 498, 5936–5951

  37. [39]

    HAWC+, the Far-Infrared Camera and Polarimeter for SOFIA

    Harper, D.A.; Runyan, M.C.; Dowell, C.D.; Wirth, C.J.; Amato, M.; Ames, T.; Amiri, M.; Banks, S.; Bartels, A.; Benford, D.J.; et al. HAWC+, the Far-Infrared Camera and Polarimeter for SOFIA. Journal of Astronomical Instrumentation 2018, 7, 1840008–1025

  38. [40]

    The balloon-borne large-aperture submillimeter telescope for polarimetry: BLAST-Pol

    Fissel, L.M.; Ade, P .A.R.; Angilè, F.E.; Benton, S.J.; Chapin, E.L.; Devlin, M.J.; Gandilo, N.N.; Gundersen, J.O.; Hargrave, P .C.; Hughes, D.H.; et al. The balloon-borne large-aperture submillimeter telescope for polarimetry: BLAST-Pol. In Millimeter, Sub- millimeter, and Far-Infrared Detectors and Instrumentation for Astronomy V ; SPIE: Cergy-Pontoise,...

  39. [42]

    PILOT: a balloon-borne experiment to measure the polarized FIR emission of dust grains in the interstellar medium

    Bernard, J.P .; Ade, P .; André, Y .; Aumont, J.; Bautista, L.; Bray , N.; Bernardis, P .D.; Boulade, O.; Bousquet, F.; Bouzit, M.; et al. PILOT: a balloon-borne experiment to measure the polarized FIR emission of dust grains in the interstellar medium. Exp. Astron. 2016, 42, 199–227

  40. [43]

    HAWC+/SOFIA Multiwavelength Polarimetric Observations of OMC-1

    Chuss, D.T.; Andersson, B.G.; Bally , J.; Dotson, J.L.; Dowell, C.D.; Guerra, J.A.; Harper, D.A.; Houde, M.; Jones, T.J.; Lazarian, A.; et al. HAWC+/SOFIA Multiwavelength Polarimetric Observations of OMC-1. Astrophys. J. 2019, 872, 187

  41. [44]

    Balloon-Borne Submillimeter Polarimetry of the V ela C Molecular Cloud: Systematic Dependence of Polarization Fraction on Column Density and Local Polarization-Angle Dispersion

    Fissel, L.M.; Ade, P .A.R.; Angilè, F.E.; Ashton, P .; Benton, S.J.; Devlin, M.J.; Dober, B.; Fukui, Y .; Galitzki, N.; Gandilo, N.N.; et al. Balloon-Borne Submillimeter Polarimetry of the V ela C Molecular Cloud: Systematic Dependence of Polarization Fraction on Column Density and Local Polarization-Angle Dispersion. Astrophys. J. 2016, 824, 134

  42. [45]

    The geometry of the magnetic field in the central molecular zone measured by PILOT

    Mangilli, A.; Aumont, J.; Bernard, J.P .; Buzzelli, A.; de Gasperis, G.; Durrive, J.B.; Ferriere, K.; Foënard, G.; Hughes, A.; Lacourt, A.; et al. The geometry of the magnetic field in the central molecular zone measured by PILOT. Astron. Astrophys. 2019, 630, A74

  43. [46]

    Unveiling the Role of the Magnetic Field at the Smallest Scales of Star Formation

    Hull, C.L.H.; Mocz, P .; Burkhart, B.; Goodman, A.A.; Girart, J.M.; Cortés, P .C.; Hernquist, L.; Springel, V .; Li, Z.Y .; Lai, S.P . Unveiling the Role of the Magnetic Field at the Smallest Scales of Star Formation. Astrophys. J. 2017, 842, L9

  44. [47]

    Science with ASKAP

    Johnston, S.; Taylor, R.; Bailes, M.; Bartel, N.; Baugh, C.; Bietenholz, M.; Blake, C.; Braun, R.; Brown, J.; Chatterjee, S.; et al. Science with ASKAP . The Australian square-kilometre-array pathfinder. Exp. Astron. 2008, 22, 151–273

  45. [48]

    MeerKAT—The South African Array With Composite Dishes and Wide-Band Single Pixel Feeds

    Jonas, J.L. MeerKAT—The South African Array With Composite Dishes and Wide-Band Single Pixel Feeds. IEEE Proc. 2009, 97, 1522–1530

  46. [49]

    LOFAR: The LOw-Frequency ARray

    van Haarlem, M.P .; Wise, M.W.; Gunst, A.W.; Heald, G.; McKean, J.P .; Hessels, J.W.T.; de Bruyn, A.G.; Nijboer, R.; Swinbank, J.; Fallows, R.; et al. LOFAR: The LOw-Frequency ARray . Astron. Astrophys. 2013, 556, A2

  47. [50]

    Using the morphology and magnetic fields of tailed radio galaxies as environmen- tal probes

    Johnston-Hollitt, M.; Dehghan, S.; Pratley , L. Using the morphology and magnetic fields of tailed radio galaxies as environmen- tal probes. In Extragalactic Jets from Every Angle ; Harvard University: Cambridge, MA, USA, 2015; pp. 321–326

  48. [51]

    Broadband Polarimetry with the Square Kilometre Array: A Unique Astrophysical Probe

    Gaensler, B.; Agudo, I.; Akahori, T.; Banfield, J.; Beck, R.; Carretti, E.; Farnes, J.; Haverkorn, M.; Heald, G.; Jones, D.; et al. Broadband Polarimetry with the Square Kilometre Array: A Unique Astrophysical Probe. In Advancing Astrophysics with the Square Kilometre Array (AASKA14) ; Proceeding of Science (PoS), Trieste, Italy , 2015; pp. 103

  49. [52]

    The NIKA2 large-field-of-view millimetre continuum camera for the 30 m IRAM telescope

    Adam, R.; Adane, A.; Ade, P .A.R.; André, P .; Andrianasolo, A.; Aussel, H.; Beelen, A.; Benoˆ, A.; Bideaud, A.; Billot, N.; et al. The NIKA2 large-field-of-view millimetre continuum camera for the 30 m IRAM telescope. Astron. Astrophys. 2018, 609, A115

  50. [53]

    Polarimetry with the TolTEC Camera: a new imaging polarimeter for the Large Millimeter Telescope

    Lee, D.; The TolTEC Collaboration. Polarimetry with the TolTEC Camera: a new imaging polarimeter for the Large Millimeter Telescope. In Proceedings of the American Astronomical Society Meeting #243, New Orleans, LA, USA, 711 January 2024

  51. [54]

    The optical design and performance of TolTEC: a millimeter-wave imaging polarimeter

    Lunde, E.; Ade, P .; Berthoud, M.; Contente, R.; DeNigris, N.S.; Doyle, S.; Ferrusca, D.; Golec, J.; Kuczarski, S.; Lee, D.; et al. The optical design and performance of TolTEC: a millimeter-wave imaging polarimeter. In Proceedings of the Millimeter, Submillimeter, and Far-Infrared Detectors and Instrumentation for Astronomy X, Online, 14–18 December 2020

  52. [55]

    LiteBIRD: A Satellite for the Studies of B-Mode Polarization and Inflation from Cosmic Background Radiation Detection

    Hazumi, M.; Ade, P .A.R.; Akiba, Y .; Alonso, D.; Arnold, K.; Aumont, J.; Baccigalupi, C.; Barron, D.; Basak, S.; Beckman, S.; et al. LiteBIRD: A Satellite for the Studies of B-Mode Polarization and Inflation from Cosmic Background Radiation Detection. J. Low T emp. Phys. 2019, 194, 443–452

  53. [56]

    Dust polarization studies on MHD simulations of molecular clouds: comparison of methods for the relative-orientation analysis

    Micelotta, E.R.; Juvela, M.; Padoan, P .; Ristorcelli, I.; Alina, D.; Malinen, J. Dust polarization studies on MHD simulations of molecular clouds: comparison of methods for the relative-orientation analysis. Astron. Astrophys. 2021, 647, A121

  54. [57]

    From parallel to perpendicular - On the orientation of magnetic fields in molecular clouds

    Seifried, D.; Walch, S.; Weis, M.; Reissl, S.; Soler, J.D.; Klessen, R.S.; Joshi, P .R. From parallel to perpendicular - On the orientation of magnetic fields in molecular clouds. Mon. Not. R. Astron. Soc. 2020, 497, 4196–4212

  55. [58]

    Formation of Turbulent and Magnetized Molecular Clouds via Accretion Flows of H I Clouds

    Inoue, T.; Inutsuka, S.I. Formation of Turbulent and Magnetized Molecular Clouds via Accretion Flows of H I Clouds. Astrophys. J. 2012, 759, 35

  56. [59]

    Change of Magnetic Field-gas Alignment at the Gravity-driven Alfvénic Transition in Molecular Clouds: Implications for Dust Polarization Observations

    Chen, C.Y .; King, P .K.; Li, Z.Y . Change of Magnetic Field-gas Alignment at the Gravity-driven Alfvénic Transition in Molecular Clouds: Implications for Dust Polarization Observations. Astrophys. J. 2016, 829, 84

  57. [60]

    The formation of massive molecular filaments and massive stars triggered by a magnetohydrodynamic shock wave

    Inoue, T.; Hennebelle, P .; Fukui, Y .; Matsumoto, T.; Iwasaki, K.; Inutsuka, S.I. The formation of massive molecular filaments and massive stars triggered by a magnetohydrodynamic shock wave. Publ. Astron. Soc. Jpn. 2018, 70, S53

  58. [61]

    The basis for cosmic ray feedback: Written on the wind

    Zweibel, E.G. The basis for cosmic ray feedback: Written on the wind. Phys. Plasmas 2017, 24, 055402

  59. [62]

    Trapping of Cosmic Rays in MHD Turbulence

    Xu, S.; Lazarian, A. Trapping of Cosmic Rays in MHD Turbulence. Astrophys. J. 2020, 894, 63

  60. [63]

    Matching dust emission structures and magnetic field in high-latitude cloud L1642: comparing Herschel and Planck maps

    Malinen, J.; Montier, L.; Montillaud, J.; Juvela, M.; Ristorcelli, I.; Clark, S.E.; Berné, O.; Bernard, J.P .; Pelkonen, V .M.; Collins, D.C. Matching dust emission structures and magnetic field in high-latitude cloud L1642: comparing Herschel and Planck maps. Mon. Not. R. Astron. Soc. 2016, 460, 1934–1945

  61. [64]

    Filamentary structure and magnetic field orientation in Musca

    Cox, N.L.J.; Arzoumanian, D.; André, P .; Rygl, K.L.J.; Prusti, T.; Men’shchikov , A.; Royer, P .; Kóspál, A.; Palmeirim, P .; Ribas, A.; et al. Filamentary structure and magnetic field orientation in Musca. Astron. Astrophys. 2016, 590, A110

  62. [65]

    Using Herschel and Planck observations to delineate the role of magnetic fields in molecular cloud structure

    Soler, J.D. Using Herschel and Planck observations to delineate the role of magnetic fields in molecular cloud structure. Astron. Astrophys. 2019, 629, A96

  63. [67]

    Galactic cold cores—III: General cloud properties

    Juvela, M.; Ristorcelli, I.; Pagani, L.; Doi, Y .; Pelkonen, V .M.; Marshall, D.J.; Bernard, J.P .; Falgarone, E.; Malinen, J.; Marton, G.; et al. Galactic cold cores—III: General cloud properties. Astron. Astrophys. 2012, 541, A12

  64. [68]

    A closer look at the ‘characteristic’ width of molecular cloud filaments

    Panopoulou, G.V .; Psaradaki, I.; Skalidis, R.; Tassis, K.; Andrews, J.J. A closer look at the ‘characteristic’ width of molecular cloud filaments. Mon. Not. R. Astron. Soc. 2017, 466, 2529–2541

  65. [69]

    The Hi-GAL catalogue of dusty filamentary structures in the Galactic plane

    Schisano, E.; Molinari, S.; Elia, D.; Benedettini, M.; Olmi, L.; Pezzuto, S.; Traficante, A.; Brescia, M.; Cavuoti, S.; di Giorgio, A.M.; et al. The Hi-GAL catalogue of dusty filamentary structures in the Galactic plane. Mon. Not. R. Astron. Soc. 2020, 492, 5420–5456

  66. [70]

    Gravitational Infall onto Molecular Filaments

    Heitsch, F. Gravitational Infall onto Molecular Filaments. Astrophys. J. 2013, 769, 115

  67. [71]

    Magnetic seismology of interstellar gas clouds: Unveiling a hidden dimension

    Tritsis, A.; Tassis, K. Magnetic seismology of interstellar gas clouds: Unveiling a hidden dimension. Science 2018, 360, 635–638

  68. [72]

    An ALMA study of the Orion Integral Filament

    Hacar, A.; Tafalla, M.; Forbrich, J.; Alves, J.; Meingast, S.; Grossschedl, J.; Teixeira, P .S. An ALMA study of the Orion Integral Filament. I. Evidence for narrow fibers in a massive cloud. Astron. Astrophys. 2018, 610, A77

  69. [73]

    Mapping the Galactic magnetic field orientation and strength in three dimensions

    Hu, Y .; Lazarian, A. Mapping the Galactic magnetic field orientation and strength in three dimensions. Mon. Not. R. Astron. Soc. 2023, 524, 2379–2394

  70. [75]

    Mapping the Magnetic Interstellar Medium in Three Dimensions over the Full Sky with Neutral Hydrogen

    Clark, S.E.; Hensley , B.S. Mapping the Magnetic Interstellar Medium in Three Dimensions over the Full Sky with Neutral Hydrogen. Astrophys. J. 2019, 887, 136

  71. [76]

    Cold Milky Way HI Gas in Filaments

    Kalberla, P .M.W.; Kerp, J.; Haud, U.; Winkel, B.; Ben Bekhti, N.; Flöer, L.; Lenz, D. Cold Milky Way HI Gas in Filaments. Astrophys. J. 2016, 821, 117

  72. [77]

    Three-dimensional magnetic fields of molecular clouds Frontiers in Astronomy and Space Sciences 2022 9, 940027

    Tahani, M.. Three-dimensional magnetic fields of molecular clouds Frontiers in Astronomy and Space Sciences 2022 9, 940027

  73. [78]

    The impact of turbulence and magnetic field orientation on star-forming filaments

    Seifried, D.; Walch, S. The impact of turbulence and magnetic field orientation on star-forming filaments. Mon. Not. R. Astron. Soc. 2015, 452, 2410–2422

  74. [79]

    Synthetic observations of dust emission and polarisation of Galactic cold clumps

    Juvela, M.; Padoan, P .; Ristorcelli, I.; Pelkonen, V .M. Synthetic observations of dust emission and polarisation of Galactic cold clumps. Astron. Astrophys. 2019, 629, A63

  75. [80]

    The Identification of Filaments on Far-infrared and Submillimiter Images: Morphology , Physical Conditions and Relation with Star Formation of Filamentary Structure

    Schisano, E.; Rygl, K.L.J.; Molinari, S.; Busquet, G.; Elia, D.; Pestalozzi, M.; Polychroni, D.; Billot, N.; Carey , S.; Paladini, R.; et al. The Identification of Filaments on Far-infrared and Submillimiter Images: Morphology , Physical Conditions and Relation with Star Formation of Filamentary Structure. Astrophys. J. 2014, 791, 27

  76. [81]

    Multiscale, multiwavelength extraction of sources and filaments using separation of the structural compo- nents: getsf

    Men’shchikov , A. Multiscale, multiwavelength extraction of sources and filaments using separation of the structural compo- nents: getsf. Astron. Astrophys. 2021, 649, A89

  77. [82]

    U-Net: Convolutional Networks for Biomedical Image Segmentation

    Ronneberger, O.; Fischer, P .; Brox, T. U-Net: Convolutional Networks for Biomedical Image Segmentation. In Medical Image Computing and Computer-Assisted Intervention—MICCAI 2015 ; Springer: Cham, Switzerland, 2015; pp. 234–241

  78. [83]

    Fragmentation and OB Star Formation in High-mass Molecular Hub-Filament Systems

    Liu, H.B.; Jiménez-Serra, I.; Ho, P .T.P .; Chen, H.R.; Zhang, Q.; Li, Z.Y . Fragmentation and OB Star Formation in High-mass Molecular Hub-Filament Systems. Astrophys. J. 2012, 756, 10

  79. [84]

    Dynamics of cluster-forming hub-filament systems

    Trevi no-Morales, S.P .; Fuente, A.; Sánchez-Monge, A.; Kainulainen, J.; Didelon, P .; Suri, S.; Schneider, N.; Ballesteros-Paredes, J.; Lee, Y .N.; Hennebelle, P .; et al. Dynamics of cluster-forming hub-filament systems. The case of the high-mass star-forming complex Monoceros R2. Astron. Astrophys. 2019, 629, A81

  80. [85]

    Formation of the Hub-Filament System G33.92+0.11: Local Interplay between Gravity , V elocity , and Magnetic Field.Astrophys

    Wang, J.W.; Koch, P .M.; Galván-Madrid, R.; Lai, S.P .; Liu, H.B.; Lin, S.J.; Pattle, K. Formation of the Hub-Filament System G33.92+0.11: Local Interplay between Gravity , V elocity , and Magnetic Field.Astrophys. J. 2020, 905, 158

Showing first 80 references.