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Star formation and ionized regions throughout the inner Galactic plane

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2017 Publication Year

2020-09-04T13:46:47Z Acceptance in OA@INAF

Star formation and ionized regions throughout the inner Galactic plane Title

Palmeirim, P.; Zavagno, A.; ELIA, Davide Quintino; VIALACTEA Team Authors

http://hdl.handle.net/20.500.12386/27151 Handle

MEMORIE DELLA SOCIETA ASTRONOMICA ITALIANA Journal

88 Number

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Mem. S.A.It. Vol. 88, 747 c

SAIt 2017 Memoriedella

Star formation and ionized regions throughout

the inner Galactic plane

P. Palmeirim1, A. Zavagno2, D. Elia3, and the VIALACTEA team?

1 Instituto de Astrof´ısica e Ciˆencias do Espac¸o, Universidade do Porto, CAUP, Rua das Estrelas, PT4150-762 Porto, Portugal, e-mail: pedro.palmeirim@astro.up.pt

2 Aix Marseille Univ, CNRS, LAM, Laboratoire d’Astrophysique de Marseille, Marseille, France

3 Istituto di Astrofisica e Planetologia Spaziali INAF-IAPS, via Fosso del Cavaliere 100, I-00133 Roma, Italy

Abstract.We present a comprehensive statistical analysis of star-forming objects located in the vicinity of 1360 bubble structures throughout the inner Galactic Plane. The compilation of ∼70 000 star-forming sources, detected in both Hi-GAL and GLIMPSE surveys, provided a broad overview of the different evolutionary stages of star-formation in bubbles, from prestellar objects to more evolved Young Stellar Objects (YSOs). Surface density maps reveal a clear evolutionary gradient and ∼80% more sources per unit area in the direction of the bubbles compared with the surrounding outer fields. We derived dynamic ages and clump formation efficiencies for a subsample of 182 bubbles and found that younger bubbles are typically more efficient at forming clumps. Approximately 23% of the Hi-GAL clumps are located in the direction of a bubble, with 15% for prestellar clumps and 41% for protostellar clumps. We argue that the high fraction of protostellar clumps may be due to the acceleration of the star-formation process caused by the feedback of the bubbles.

1. Introduction

A growing body of evidence suggests that feedback from massive stars may play a rele-vant role in the formation of a large fraction of stars in our Galaxy. Feedback from massive stars interact with the surrounding cold molec-ular medium and generate bubble structures in the interstellar medium (ISM), which may trig-ger star formation.

We present an unprecedented statistical study of ∼70 000 star-forming sources found in the proximity of the ionized (HII) bubbles and detected in both Hi-GAL (Molinari et al.

? http://vialactea2016.iaps.inaf.it/

2010) and GLIMPSE surveys (Spitzer Science 2009), which provided a broad overview of the different evolutionary stages of star-formation in bubbles, from prestellar objects to more evolved young stellar objects (YSOs).

2. Results

We made use of the The Milky Way Project (MWP) catalog (Simpson et al. 2012) of bub-bles extracted from Spitzer-GLIMPSE 8 µm and 24 µm maps and selected 1 360 bubbles with radii larger than 7200 to ensure that the

bubbles were resolved in the Herschel maps. We searched for all star-forming sources that were found within four times the effective

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ra-748 Palmeirim: Star formation and ionized regions throughout the inner Galactic plane

Fig. 1.Surface density maps for all star-forming objects - Hi-GAL clumps and GLIMPSE YSOs -

associ-ated with the bubble sample. The spatial scales of the maps are normalized by the bubble radius (solid black circle). The dashed black circle represents the average shell radius.

dius of a bubble. Based on the physical Hi-GAL source catalog (Elia et al. 2017) we found a total sample of 25 911 prestellar and 14 918 protostellar clumps. The YSO candi-dates were selected from the GLIMPSE cata-log by following the approach as Gutermuth et al. (2009), and further classified into dif-ferent evolutionary stages Class I and Class II according to both their infrared spectral index and their position in the IRAC color-color di-agram. This led to a total sample of 10 694 Class I and 18 209 Class II sources. Surface density maps were generated for the entire star-forming source sample (see Fig 1). We find that star-forming sources follow a clear evolutionary trend where more evolved star-forming objects are found spatially located near the center, while younger star-forming ob-jects are found at the edge of the bubbles. Considering that the 1 360 bubbles are at dif-ferent stages of their expansion we derived dy-namic ages for a subsample of 182 HII regions for which kinematic distances and radio con-tinuum flux measurements were available by following the approach presented in Tremblin et al. (2014). As a result we find that younger bubbles have a higher efficiency in forming protostellar clumps. We interpret this trend as a possible increase in the formation rate from the prestellar to protostellar phase at the early stages of the bubble expansion, which would eventually decrease as the impact of the expan-sion and the ionization weakens.

Furthermore, we estimate that ∼23% of the total sample of Hi-GAL star-forming clumps (∼15% and ∼41% for prestellar and protostel-lar clumps, respectively) located in the inner

part of the Galactic plane are found projected toward a bubble.

3. Conclusions

Surface density maps reveal a clear evolution-ary gradient and ∼80% more sources per unit area in the direction of the bubbles compared with the surrounding outer fields. We argued for the pre-existence of dense structures in the medium prior to the bubble expansions as in simulations performed in Walch et al. (2015). Furthermore, the high fraction of protostellar clumps may be due to the acceleration of the star-formation process caused by the feedback of the bubbles. For more details see Palmeirim et al. (2017).

Acknowledgements. Pedro Palmeirim acknowl-edges support from the Fundac¸˜ao para a Ciˆencia e a Tecnologia of Portugal (FCT) through na-tional funds (UID/FIS/04434/2013) and by FEDER through COMPETE2020 (POCI-01-0145-FEDER-007672) and also by the fellowship SFRH/BPD/110176/2015 funded by FCT (Portugal) and POPH/FSE (EC).

References

Elia, D., et al. 2017, MNRAS, 471, 100 Gutermuth, R. A., et al. 2009, ApJS, 184, 18 Molinari, S., et al. 2010, A&A, 518, L100 Palmeirim, P., et al. 2017, A&A, 605, 35 Simpson, R. J., et al. 2012, MNRAS, 424, 2442 Tremblin, P., et al. 2014, A&A, 564, A106 Walch, S., et al. 2015, MNRAS, 452, 2794

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