A deep NIR survey of very low-mass objects in the R CrA region

Aims . Our aim is to identify the population of very low-mass object (VLMO) candidates in the R CrA region and reveal their formation dependence in the local environments. Methods . We performed a deep near-infrared (NIR) photometric observation of the R CrA region by UKIRT/WFCAM. Class I and II candidates showing NIR excess were selected from their observed colors. We derived the photometric mass of each candidate with an age assumption of 1 Myr. We compared the derived mass of identified VLMO candidates to the dust column density at their position. Results . The 10 σ limiting magnitudes were 20.7, 19.6, and 19.2 mag in the J-, H-, and K-band, respectively, and we detected 2922 JHK sources in all three bands with an S/N greater than ten in the K-band. Fifteen Class I and 207 Class II candidates with NIR excess were selected from a [J-H] / [H-K] color-color diagram. Six low-mass stars, five brown dwarfs, and 196 planetary-mass object candidates were identified from the J-band luminosity of Class II candidates with the age assumption of 1 Myr using the evolutionary models. The derived initial mass function (IMF) does not appear to decrease in the brown dwarf and planetary-mass regime, even when taking into account the background star and galactic contamination. From comparison between the spatial distributions of Class I and II candidates and dust column densities derived from the Herschel observation, we found that all the low-mass star and brown dwarf candidates are located in the region where the dust column densities are higher than 2.5 × 10 21 /cm 2 , while planetary-mass object candidates are independent of their local dust densities. Our results suggest that the formations of vey low-mass stars and very low-mass objects may be dependent on the local cloud properties.

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Publication Details

Journal
Astronomy and Astrophysics
Published
2025-04-29
DOI
https://doi.org/10.1051/0004-6361/202450179
Primary Topic
Gamma-ray bursts and supernovae
Type
article
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article

A deep NIR survey of very low-mass objects in the R CrA region

Tsubasa Kanai, Yumiko Oasa
Astronomy and Astrophysics
Gamma-ray bursts and supernovae
article

A deep NIR survey of very low-mass objects in the R CrA region

Tsubasa Kanai, Yumiko Oasa
article en

Abstract

Aims . Our aim is to identify the population of very low-mass object (VLMO) candidates in the R CrA region and reveal their formation dependence in the local environments. Methods . We performed a deep near-infrared (NIR) photometric observation of the R CrA region by UKIRT/WFCAM. Class I and II candidates showing NIR excess were selected from their observed colors. We derived the photometric mass of each candidate with an age assumption of 1 Myr. We compared the derived mass of identified VLMO candidates to the dust column density at their position. Results . The 10 σ limiting magnitudes were 20.7, 19.6, and 19.2 mag in the J-, H-, and K-band, respectively, and we detected 2922 JHK sources in all three bands with an S/N greater than ten in the K-band. Fifteen Class I and 207 Class II candidates with NIR excess were selected from a [J-H] / [H-K] color-color diagram. Six low-mass stars, five brown dwarfs, and 196 planetary-mass object candidates were identified from the J-band luminosity of Class II candidates with the age assumption of 1 Myr using the evolutionary models. The derived initial mass function (IMF) does not appear to decrease in the brown dwarf and planetary-mass regime, even when taking into account the background star and galactic contamination. From comparison between the spatial distributions of Class I and II candidates and dust column densities derived from the Herschel observation, we found that all the low-mass star and brown dwarf candidates are located in the region where the dust column densities are higher than 2.5 × 10 21 /cm 2 , while planetary-mass object candidates are independent of their local dust densities. Our results suggest that the formations of vey low-mass stars and very low-mass objects may be dependent on the local cloud properties.

Astronomy and AstrophysicsVol. 698
Openalex Percentile: Top 94%
Gamma-ray bursts and supernovae
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