CWNU 2180

0.21 UTI

0.0

C_N

0.24

C_dens

0.12

C_C3

0.35

C_lit

1.0

C_dup

N₅₀ (P>50% members) 24

Stellar density (N₅₀/rad) 1.2 [N/pc²]

C3 classification DC

C_N 0.0 Sparse
C_dens 0.24 Very loose
C_C3 0.12 Very low quality
C_lit 0.35 Poorly studied
C_dup 1.0 Unique

📥 Members 📊 Colab 🔬 Bayestar19

MOCA 🔍 CDS 🔍 Simbad 🔍 CDS (α, δ) 🔍 Simbad (α, δ)

Overview

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CWNU 2180 is a sparse, very loose object of very low C3 quality. Its parallax locates it at a relatively close distance, near the mid-plane, affected by moderate extinction. It is catalogued as a near-solar metallicity, intermediate-age cluster, but with a large variance across recent sources for the metallicity parameter (see Parameters). It was recently reported in the literature.

Relatively close Moderate extinction Near-solar metallicity Intermediate age

Liu et al. (2025)
Classified as tidal capture (resonant trapping binary) 112 along with HSC_1387.

Palma et al. (2025)
Classified as optical pair P343, along with HSC_1387.

Cavallo et al. (2024)
Gold sample.

Data

🔍 Search references for CWNU 2180 in: SciX Simbad

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Reference	Year	RA [deg]	DEC [deg]	Plx [mas]	pmRA [mas/yr]	pmDE [mas/yr]	Rv [km/s]
UCC	99999–	83.138	30.578	0.775	-1.262	-4.217	-21.013
Zhang et al.	2024	83.15	30.602	–	–	–	–
Hunt & Reffert	2024	83.15	30.602	0.773	-1.22	-4.235	-20.94
Cavallo et al.	2024	83.078	30.655	0.773	–	–	–
Hunt & Reffert	2023	83.15	30.602	0.773	-1.22	-4.235	-20.94
He et al.	2023	83.117	30.565	0.777	-1.264	-4.225	–

💡 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]	B_frac	BSS
UCC	99999–	1.335	1.795	0.64	212	-0.080	72	–	–
Liu et al.	2025	3.10	0.67	–	200	–	–	–	–
Zhang et al.	2024	–	–	–	–	-0.399⁽¹⁾	–	–	–
Hunt & Reffert	2024	–	–	–	–	–	72⁽¹⁾	–	–
Cavallo et al.	2024	1.32	1.89	–	224	0.240	–	–	–
Hunt & Reffert	2023	1.26	1.70	0.64	136	–	–	–	–
He et al.	2023	1.35	2.00	–	251	–	–	–	–

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

Visualization

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