The baryonic Tully-Fisher relation cares about the galaxy sample

被引:13
作者
Sorce, Jenny G. [1 ]
Guo, Quan [1 ]
机构
[1] Leibniz Inst Astrophys, D-14482 Potsdam, Germany
关键词
methods: numerical; methods: statistical; galaxies: evolution; galaxies: formation; galaxies: spiral; CLUSTER GALAXIES; ROTATION CURVES; SPIRAL GALAXIES; DISK GALAXIES; STELLAR MASS; LAMBDA-CDM; DISTANCES; EVOLUTION; LUMINOSITIES; CONSTRAINTS;
D O I
10.1093/mnras/stw341
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
The baryonic Tully-Fisher relation (BTFR) is a clear manifestation of the underlying physics of galaxy formation. As such, it is used to constrain and test galaxy formation and evolution models. Of particular interest, apart from the slope of the relation, is its intrinsic scatter. In this article, we use the EAGLE simulation to study the dependence of the BTFR on the size of the simulated galaxy sample. The huge number of data points available in the simulation is indeed not available with current observations. Observational studies that computed the BTFR used various (small) size samples, with the only obligation to have galaxies spanning a large range of masses and rotation rates. Accordingly, to compare observational and theoretical results, we build a large number of various size data sets using the same criterion and derive the BTFR for all of them. Unmistakably, there is an effect resulting from the number of galaxies used to derive the relation. The smaller the number, the larger the standard deviation around the average slope and intrinsic scatter of a given size sample of galaxies. This observation allows us to alleviate the tensions between observational measurements and Lambda CDM predictions. Namely, the size of the observational samples adds up to the complexity in comparing observed and simulated relations to discredit or confirm Lambda CDM. Similarly, samples, even large, that do not reflect the galaxy distribution give biased results on average. Large size samples reproducing the underlying distribution of galaxies constitute a supplementary necessity to compare observations and simulations efficiently.
引用
收藏
页码:2667 / 2675
页数:9
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