ASCC 105
(MWSC 3157; FoF 2423)
0.95
UTI
0.77
CN
1.0
Cdens
1.0
CC3
1.0
Clit
1.0
Cdup
Radius (P>50% members)
20.0 [arcmin]
- CN 0.77 Rich
- Cdens 1.0 Very dense
- CC3 1.0 Very high quality
- Clit 1.0 Very well-studied
- Cdup 1.0 Unique
Overview
ASCC 105 is a rich, very dense object of very high C3 quality. Its parallax locates it at a close distance, near the mid-plane, affected by low extinction. It is catalogued as a near-solar metallicity, young cluster, but with a large variance across recent sources for the metallicity and mass parameters (see Parameters). It is very well-studied in the literature.
Close
Low extinction
Near-solar metallicity
Young
Data
| Reference | Year | RA [deg] | DEC [deg] | Plx [mas] | pmRA [mas/yr] | pmDE [mas/yr] | Rv [km/s] |
|---|---|---|---|---|---|---|---|
| UCC | â | 295.454 | 27.366 | 1.783 | 1.383 | -1.613 | -17.225 |
| Li et al. | 2025 | 295.548 | 27.366 | 1.783 | 1.464 | -1.635 | â |
| Wei et al. | 2025 | 295.491 | 27.358 | 1.775 | 1.372 | -1.614 | â |
| Almeida et al. | 2025 | 295.629 | 27.364 | â | â | â | â |
| Alfonso et al. | 2024 | 295.589 | 27.493 | 1.756 | 1.396 | -1.626 | â |
| Zhang et al. | 2024 | 295.472 | 27.386 | â | â | â | â |
| Hunt & Reffert | 2024 | 295.472 | 27.386 | 1.776 | 1.37 | -1.618 | -16.192 |
| Cavallo et al. | 2024 | 295.499 | 27.296 | 1.775 | â | â | â |
| Hunt & Reffert | 2023 | 295.472 | 27.386 | 1.776 | 1.37 | -1.618 | -16.192 |
| Almeida et al. | 2023 | 295.577 | 27.424 | â | â | â | â |
| Just et al. | 2023 | 295.385 | 27.381 | â | â | â | â |
| He et al. | 2022 | 295.473 | 27.403 | 1.783 | 1.372 | -1.609 | â |
| Tarricq et al. | 2022 | 295.54 | 27.402 | 1.8 | 1.416 | -1.602 | â |
| Dias et al. | 2021 | 295.629 | 27.364 | 1.786 | 1.461 | -1.611 | -14.302 |
| Cantat-Gaudin et al. | 2020 | 295.548 | 27.366 | 1.783 | 1.464 | -1.635 | â |
| Cantat-Gaudin & Anders | 2020 | 295.548 | 27.366 | 1.783 | 1.464 | -1.635 | â |
| Liu & Pang | 2019 | 295.52 | 27.407 | 1.778 | 1.408 | -1.535 | â |
| Bossini et al. | 2019 | 295.548 | 27.366 | â | â | â | â |
| Soubiran et al. | 2018 | 295.548 | 27.366 | â | â | â | -13.81 |
| Bica et al. | 2019 | 295.443 | 27.379 | â | â | â | â |
| Cantat-Gaudin et al. | 2018 | 295.548 | 27.366 | 1.783 | 1.464 | -1.635 | â |
| Kharchenko et al. | 2016 | 295.385 | 27.381 | â | â | â | â |
| Dias et al. | 2014 | 295.442 | 27.38 | â | -2.05 | -4.11 | â |
| Kharchenko et al. | 2013 | 295.39 | 27.383 | â | 0.8 | -4.45 | -18.8 |
| Gozha et al. | 2012 | 295.442 | 27.38 | â | â | â | â |
| Piskunov et al. | 2008 | 295.428 | 27.375 | â | â | â | â |
| Kharchenko et al. | 2007 | 295.44 | 27.38 | â | 0.6 | â | -18.75 |
| Kharchenko et al. | 2005 | 295.44 | 27.38 | â | 0.91 | -3.76 | -18.75 |
| Dias et al. | 2002 | 295.442 | 27.38 | â | 0.91 | -3.76 | -18.75 |
đĄ Note: The UCC values are estimated from its identified members.
| Reference | Year | Dist [kpc] | Av [mag] | DAv [mag] | Age [Myr] | [Fe/H] [dex] | Mass [Msun] | Bfr | BSS |
|---|---|---|---|---|---|---|---|---|---|
| Li et al. | 2025 | 0.54 | 0.37 | â | 144 | 0.053 | â | â | â |
| Wei et al. | 2025 | 0.79 | 0.73 | â | 65 | 0.250 | 187 | 0.22 | â |
| Almeida et al. | 2025 | 0.55 | 0.45 | â | 213 | â | 144 | â | â |
| Alfonso et al. | 2024 | 0.57 | 0.41 | â | 78 | 0.051 | â | â | â |
| Zhang et al. | 2024 | â | â | â | â | -0.111* | â | â | â |
| Hunt & Reffert | 2024 | â | â | â | â | â | 222* | â | â |
| Cavallo et al. | 2024 | 0.58 | 0.72 | â | 45 | 0.040 | â | â | â |
| Hunt & Reffert | 2023 | 0.54 | 0.30 | 0.84 | 93 | â | â | â | â |
| Almeida et al. | 2023 | 0.55 | 0.77 | â | 131 | -0.252 | 304* | 0.79 | â |
| Just et al. | 2023 | â | â | â | 81 | â | 27 | â | â |
| He et al. | 2022 | â | 0.55 | â | 71 | â | â | â | â |
| Tarricq et al. | 2022 | 0.56 | â | â | 76 | â | â | â | â |
| Dias et al. | 2021 | 0.55 | 0.45 | â | 213 | 0.051 | â | â | â |
| Cantat-Gaudin et al. | 2020 | 0.57 | 0.41 | â | 74 | â | â | â | â |
| Cantat-Gaudin & Anders | 2020 | 0.55 | â | â | â | â | â | â | â |
| Liu & Pang | 2019 | â | â | â | 66 | -0.250 | â | â | â |
| Bossini et al. | 2019 | 0.52 | 0.34 | â | 99 | 0.000 | â | â | â |
| Soubiran et al. | 2018 | 0.55 | â | â | â | â | â | â | â |
| Cantat-Gaudin et al. | 2018 | 0.55 | â | â | â | â | â | â | â |
| Kharchenko et al. | 2016 | 0.49 | 0.32 | â | 81 | â | â | â | â |
| Kharchenko et al. | 2013 | 0.49 | 0.32 | â | 81 | â | â | â | â |
| Gozha et al. | 2012 | 0.50 | â | â | 100 | â | 562 | â | â |
| Piskunov et al. | 2008 | 0.50 | 0.28 | â | 100 | â | â | â | â |
| Kharchenko et al. | 2005 | 0.50 | 0.28 | â | 100 | â | â | â | â |
| Dias et al. | 2002 | 0.50 | 0.28 | â | 100 | â | â | â | â |
(*): Indicates that this parameter is assigned more than one value in the corresponding reference.


Almeida et al. (2025)
Mass determination: intermediate fit. Isochrone match: good fit. Silver sample.
Cavallo et al. (2024)
Gold sample.