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M. Juvela

4 papers hereh-index 9837 citations21 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • middle author3

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.GA3
  • astro-ph.IM1
same name
  • M. Juvela — 20 papers, h 4
  • M. Juvela — 3 papers, h 81
  • M. Juvela — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

astro-ph.GA2026

Tracing grain growth in the forming prestellar core L1506C with 3D modeling of Herschel, IRAM, and CFHT observations

E. Zhu, I. Ristorcelli, K. Demyk +5

In the early phases of star formation, properties of prestellar cores are commonly inferred from observations of thermal dust emission and thus depend on dust properties, which mus…

astro-ph.GA2026

Statistical analysis of the relative orientations between filaments and magnetic fields using Herschel and Planck data in star-forming regions

Jonathan Oers, Isabelle Ristorcelli, Katia Ferrière +4

Observations and simulations of the interstellar medium both suggest that magnetic fields play a key role in the formation and evolution of filaments and in the process of star for…

astro-ph.GA2025

JWST observations of photodissociation regions III. Dust modelling at the illuminated edge of the Horsehead PDR

M. Elyajouri, A. Abergel, N. Ysard +19

Carbonaceous nano-grains are a significant component of interstellar dust and dominate the mid-infrared emission of photodissociation regions (PDRs). We study the evolution of nano…

astro-ph.IM2025

Fast spectral line calculations with the escape probability method and tests with synthetic observations of interstellar clouds

Mika Juvela

Radiative transfer effects need to be taken into account when analysing spectral line observations. When the data are not sufficient for detailed modelling, simpler methods are nee…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.