English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

The principal component analysis (PCA), a mathematical tool commonly used instatistics, has recently been employed to interpret the $p_T$-dependentfluctuations of harmonic flow $v_n$ in terms of leading and subleading flowmodes in heavy ion collisions. Using simulated data from AMPT and HIJINGmodels, we show that the PCA modes are not fixed, but depend on the choice ofthe particle weight and the $p_T$ range. Furthermore, the shape of the leadingmode is affected by the presence of non-flow correlations, and fake subleadingmode may arise from the mixing of non-flow correlations with leading flow modewith a magnitude that could be larger than the genuine subleading flow mode.Therefore, the meaning of PCA modes and their relations to physical leading andsubleading flow modes associated initial state eccentricities need to befurther clarified/validated in realistic model simulations.

Robustness of principal component analysis on harmonic flow in heavy ion collisions