Berkeley 25

(MWSC 955; OCL 576)

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C3
N_50
r_50
AB 308 2.0
Summary

Berkeley 25 is a rich, very dense object of high C3 quality. It is located at a large distance from the Sun, well below the mid-plane. It is well-studied in the literature.

Search object in SciX | Simbad

Positions

Reference RA DEC Plx pmRA pmDE Rv
Dias et al. (2002) 100.25 -16.517 -3.68 -4.17 134.3
Kharchenko et al. (2013) 100.305 -16.495 1.53 -2.21 134.3
Kharchenko et al. (2016) 100.299 -16.493
Loktin & Popova (2017) 100.305 -16.495 -0.215 -0.918 134.3
Cantat-Gaudin et al. (2018) 100.317 -16.487 0.077 -0.114 0.845
Bica et al. (2019) 100.31 -16.476
Cantat-Gaudin et al. (2020) 100.317 -16.487 0.077 -0.114 0.845
Perren et al. (2022) 100.317 -16.487
Just et al. (2023) 100.299 -16.493
Hunt & Reffert (2023) 100.312 -16.487 0.096 -0.112 0.877 122.755
Cavallo et al. (2024) 100.318 -16.489 0.103
Hunt & Reffert (2024) 100.312 -16.487 0.096 -0.112 0.877 122.755
Hu & Soubiran (2025) 100.318 -16.489
           
UCC 100.314 -16.484 0.105 -0.128 0.865 133.125
Galactocentric position Galactocentric position diagram

How are the galactocentric plots generated?

Search coordinates in CDS | Simbad

Estimated members

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Fundamental parameters

Reference Values
Dias et al. (2002) E(B-V)=0.11, Dist=11400.0, Age=9.7, [Fe/H]=-0.2
Kharchenko et al. (2013) E(B-V)=0.11, d=11400.0, logt=9.7, [Fe/H]=-0.2
Kharchenko et al. (2016) E(B-V)=0.11, d=11400.0, logt=9.7
Loktin & Popova (2017) E(B-V)=0.558, Dist=2381, logt=9.8
Cantat-Gaudin et al. (2018) dmode=9467.7
Cantat-Gaudin et al. (2020) AVNN=1.07, DistPc=6780.0, AgeNN=9.39
Perren et al. (2022) E(B-V)=0.39, dm=14.34, logt=9.72, FeH=-0.2, Mass=15000, bfr=0.82
Just et al. (2023) logt=9.7, logmt=4.213
Hunt & Reffert (2023) AV50=1.65, diffAV50=2.026, MOD50=14.429, logAge50=8.968
Cavallo et al. (2024) AV50=1.18, dMod50=14.0, logAge50=9.62, [Fe/H]50=-0.56
Hunt & Reffert (2024) MassJ=2119.00, MassTot=2221.82
Hu & Soubiran (2025) MA22=-0.36, MA23f=-0.53, MA23g=-0.43, MZ23=-0.6, MK24=-0.38, MF24=-0.57

Search coordinates in Bayestar19

Cluster region map