Alessi 3

(MWSC 1157; FoF 2434; OCSN 137)

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0.96 UTI
0.81
CN
1.0
Cdens
1.0
CC3
1.0
Clit
1.0
Cdup
Stellar density (N50/rad) 9.5 [N/pc2]
  • CN 0.81 Rich
  • Cdens 1.0 Very dense
  • CC3 1.0 Very high quality
  • Clit 1.0 Very well-studied
  • Cdup 1.0 Unique

Overview

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Alessi 3 is a rich, very dense object of very high C3 quality. Its parallax locates it at a very close distance, below the mid-plane, affected by low extinction. It is catalogued as a low-mass, near-solar metallicity, intermediate-age cluster, but with a large variance across recent sources for the absorption, metallicity, and mass parameters (see Parameters). It is very well-studied in the literature.

Yan et al. (2026)
Number of WDs: expected from single-star evolution N=11, with probability of formation through binary evolution >=0.5 N=5.

Palma et al. (2025)
Part of multiple system G1, along with CWNU_1265, CWNU_536 and CWNU_1031.

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

Cavallo et al. (2024)
Gold sample.

Hunt & Reffert (2024)
Classified as open cluster. CMD class: 0.99 (50th percentile).

Hunt & Reffert (2023)
Classified as open cluster. CMD class: 0.99 (50th percentile).

Richer et al. (2021)
The expected number of WDs is 8.8, 0 WD candidates found, and 0 WD candidates found in the wide search.

Bica et al. (2019)
Web updates in DAML02, some were later removed (2003 to 2010). List of clusters and alike reported by B. Alessi.

Data

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Reference Year RA [deg] DEC [deg] Plx [mas] pmRA [mas/yr] pmDE [mas/yr] Rv [km/s]
UCC 99999– 109.169 -46.255 3.573 -9.817 11.954 0.451
Yan et al. 2026 109.187 -46.68 3.575 -9.793 11.916 –
Li et al. 2025 109.275 -46.142 3.566 -9.875 11.958 –
Wei et al. 2025 109.212 -46.186 3.611 -9.789 11.957 –
Almeida et al. 2025 109.7 -46.026 – – – –
Alfonso et al. 2024 109.291 -46.194 3.562 -9.852 11.847 –
Hunt & Reffert 2024 109.187 -46.68 3.575 -9.793 11.916 0.317
Cavallo et al. 2024 109.175 -46.154 3.575 – – –
Hunt & Reffert 2023 109.187 -46.68 3.575 -9.793 11.916 0.317
Qin et al. 2023 109.18 -46.3 3.59 -9.72 11.92 0.58
Just et al. 2023 109.046 -46.615 – – – –
He et al. 2022 109.09 -46.308 3.611 -9.82 11.958 –
Tarricq et al. 2022 109.341 -46.348 3.619 -9.774 11.954 –
Jadhav & Subramaniam 2021 109.275 -46.142 – – – –
Richer et al. 2021 109.117 -46.554 3.559 -9.876 11.883 –
Dias et al. 2021 109.7 -46.026 3.559 -9.872 12.014 2.314
Cantat-Gaudin et al. 2020 109.275 -46.142 3.566 -9.875 11.958 –
Cantat-Gaudin & Anders 2020 109.275 -46.142 3.566 -9.875 11.958 –
Liu & Pang 2019 108.974 -46.05 3.558 -9.829 11.977 –
Soubiran et al. 2018 109.275 -46.142 – – – 0.2
Bica et al. 2019 109.086 -46.61 – – – –
Cantat-Gaudin et al. 2018 109.275 -46.142 3.566 -9.875 11.958 –
Angelo et al. 2019 109.138 -46.675 – – – –
Yen et al. 2018 109.036 -46.559 3.81 -9.74 12.13 –
Dib et al. 2018 109.05 -46.617 – – – –
Loktin & Popova 2017 109.125 -46.685 – -1.203 5.537 20.0
Sampedro et al. 2017 109.121 -46.685 -0.34 5.1 – –
Joshi et al. 2016 109.05 -46.617 – – – –
Kharchenko et al. 2016 109.046 -46.615 – – – –
Dias et al. 2014 109.121 -46.685 – -0.4 5.12 –
Kharchenko et al. 2013 109.05 -46.617 – -11.09 12.72 20.0
Gozha et al. 2012 109.121 -46.685 – – – –
Piskunov et al. 2008 109.086 -46.61 – – – –
Kharchenko et al. 2007 109.12 -46.69 – 0.55 – 20.0
Piskunov et al. 2007 109.086 -46.61 – – – –
van den Bergh 2006 109.1 -46.6 – – – –
Kharchenko et al. 2005 109.08 -46.61 – -11.63 12.61 –
Alessi et al. 2003 109.1 -46.6 – -11.5 12.4 –
Dias et al. 2002 109.121 -46.685 – -11.49 12.37 20.0

💡 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] Bfrac BSS
UCC 99999– 0.29 0.315 0.43 720 -0.001 44 0.53 0
Yan et al. 2026 – – – 631 – – – –
Li et al. 2025 0.29 0.06 – 946 0.055 – – –
Wei et al. 2025 0.26 0.04 – 832 0.250 195 0.53 –
Almeida et al. 2025 0.28 0.18 – 798 – 122 – –
Alfonso et al. 2024 0.30 0.14 – 720 -0.056 – – –
Hunt & Reffert 2024 – – – – – 59(1) – –
Cavallo et al. 2024 0.29 0.32 – 427 0.440 – – –
Hunt & Reffert 2023 0.27 0.11 0.43 625 – – – –
Qin et al. 2023 0.27 0.06 – 891 – – – –
Just et al. 2023 – – – 741 – 29 – –
He et al. 2022 – 0.50 – 398 – – – –
Tarricq et al. 2022 0.29 – – 631 – – – –
Jadhav & Subramaniam 2021 0.30 0.14 – 631 – 301 – 0(1)
Richer et al. 2021 – 0.24 – 600 – – – –
Dias et al. 2021 0.28 0.18 – 798 -0.057 – – –
Cantat-Gaudin et al. 2020 0.30 0.14 – 631 – – – –
Kounkel et al. 2020 0.30 0.32 – 447 – – – –
Cantat-Gaudin & Anders 2020 0.28 – – – – – – –
Liu & Pang 2019 – – – 437 0.250 – – –
Soubiran et al. 2018 0.28 – – – – – – –
Cantat-Gaudin et al. 2018 0.28 – – – – – – –
Angelo et al. 2019 0.26 – – 630 – 18 – –
Yen et al. 2018 0.26 0.11 – 794 – – – –
Dib et al. 2018 0.31 – – 741 – – – –
Loktin & Popova 2017 0.43 0.31 – 723 – – – –
Joshi et al. 2016 0.31 0.35 – 741 – 37 – –
Kharchenko et al. 2016 0.31 0.35 – 741 – – – –
Kharchenko et al. 2013 0.31 0.35 – 741 -0.275 – – –
Gozha et al. 2012 0.29 – – 501 – 37 – –
Piskunov et al. 2008 0.29 0.35 – 741 – 52(1) – –
Piskunov et al. 2007 0.29 0.35 – 741 – 31 – –
van den Bergh 2006 0.29 0.35 – 501 – – – –
Kharchenko et al. 2005 0.29 0.35 – 741 – – – –
Alessi et al. 2003 0.29 0.35 – 501 – – – –
Dias et al. 2002 0.29 0.35 – 501 -0.275 – – –

(N): Indicates that there are N extra values assigned to this parameter in the corresponding reference.

Visualization

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