I will post relevant links and info relating to my poster at the Star@Lyon conference. This page will be updated during the conference if e.g. questions are asked.
Email: emma.mannfors (at) helsinki.fi
About me:
PhD student at the University of Helsinki (supervisor: Mika Juvela)
Click here to download my poster (650 kB)
This poster is based on two papers:
- Juvela, M., and Mannfors, E., 2023, A&A, 673, A145
- Mannfors, E., Juvela, M., Liu, T., and Pelkonen, V.-M., submitted.
Contents
- Observations
- Data reduction
- Important concepts
- Other images in the poster
- References
Observations
We have observed OMC-3 (Orion Molecular Cloud 3) with three instruments:
Instrument |
Wavelength |
Resolution |
|
(µm) |
(”) |
Herschel SPIRE |
250, 350, 500 |
20 |
APEX ArTéMiS |
350 |
~10 |
Spitzer |
8 |
2 |
Table 1: The instruments used in this paper. Also see Fig. 1
Fig. 1: OMC-3 column density maps with Herschel (left), ArTéMiS (center), and Spitzer (right). θ is the beamsize of the instrument. The filament path in each field is marked by the line. Segments A-D were also extracted for the HR and AR data.
How did we get the ArTémis (AR) map?
Observations (350 um) with ArTéMiS were combined by feathering with the 350 um SPIRE Herschel observations, using the program uvcombine.
Using feathering, we have data with higher-resolution, smaller features and large-scale structure visible with Herschel.
Data analysis
Calculating N(H2) for our data
HR: We used the modified blackbody (MBB; see below) function to estimate temperature, optical depth, and column density using Herschel SPIRE 250-500 um data.
To achieve a resolution of 20″, we used the method described in Palmeirim et al., (2013; Appendix A).
AR: We used the feathered 350 um intensity map (resolution: ~10″) and Herschel temperature maps (resolution: 20″) to estimate column densities.
Modified blackbody (MBB)
(For more info on MBB fitting, see e.g. Mannfors et al., 2021. Direct ADS link on my research-> papers page)
The MBB describes IR emission and is described by the formula:
(B_{nu}(T) / B_{nu, 0}(T) ) * (nu / nu0)**beta
Where B_{nu}(T) is the Planck function at frequency nu, and beta is the opacity spectral index.
Beta = 1.8 is fairly accurate in dense clouds.
Plummer profile:
(Arzoumanian et al. 2011; André et al. 2014).
We have used a modified version of this where both sides of the profile are fitted separately, with N0 kept constant.
Where N0 = the maximum intensity / column density of the filament
r = the distance from the center of the filament
Rflat = the width of the filament
p = the slope of the filament
a + br = linear background
Other important concepts
0.1 pc width
See e.g. Arzoumanian et al., 2011, André et al., 2014
Images in the poster
Observations
Fig. 2: Width (FWHM) of the filament segments. A-D correspond to the segments in Fig. 1 (right). The full field filament is shown in Fig. 1 (left,center).
Simulations
Fig. 3: Derived widths for a simulated filament, as a function of column density and assuming an ISRF like Mathis et al., (1983; X=1, yellow squares), 10 times stronger (X=10, red circles), and 100 times stronger (purple triangles).
Fig. 4: Simulations on the effect of distance to a simulated filament. (left): The components: a random sky background (purple solid lines), a large Gaussian component to simulate hierarchial structure (orange dashed lines), and a Plummer-like filament (purple dotted lines). The resulting profile (at a simulated distance of 500 pc) Is shown with solid orange lines, and the Plummer fit with dashed black lines. (right): Violin plots of filament distance vs. Filament width.
References:
Mannfors, E., Juvela, M., Liu, T., and Pelkonen, V.-M., subm.
Juvela, M., and Mannfors, E., 2023, A&A, 673, A145
André, P., Di Francesco, J., Ward-Thompson, D., et al. 2014, in Protostars and Planets VI, ed. H. Beuther, R. S. Klessen, C. P. Dullemond, & T. Henning, 27
Arzoumanian, D., André, P., Didelon, P., et al. 2011, A&A, 529, L6