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 Plus annual

Presents the access of premium content as premium feature

Premium Content

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 annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Context: We present COSTA (COld STream finder Algorithm), a novel algorithmto search for cold kinematical substructures in the phase space of planetarynebulae (PNe) and globular clusters (GCs) in the halo of massive galaxies andintracluster regions. Aims: COSTA aims at detecting small sized, low velocitydispersion streams, as the ones produced in recent interactions of dwarfgalaxies with the halo of more massive galaxies, including the ones sitting inthe central region of rich galaxy clusters. Methods: COSTA is based on a deepfriend-of-friend procedure that isolates groups of N particles with smallvelocity dispersion (between 10 kms and $\sim$ 100 kms), using an iterative (n)sigma-clipping over a defined number of (k) neighbor particles. The algorithmhas three parameters (k-n-N), plus a velocity dispersion cut-off, which definesthe "coldness" of the stream, that are set using Montecarlo realizations of thesample under exam. Results: In this paper, we show the ability of COSTA torecover simulated streams on mock data-sets of discrete kinematical tracerswith different sizes and measurement errors, from publicly availablehydrodynamical simulations. We also show the best algorithm set-up for arealistic case of stream finding in the core of the Fornax cluster, for futureapplications of COSTA to real populations of PNe and GCs. Conclusions: COSTAcan be generalized to all problems of finding small substructures in the phasespace of a limited sample of discrete tracers, provided that the algorithm istrained on realistic mock observations reproducing the specific dataset underexam.

COSTA: the COld STream finder Algorithm. Searching for kinematical substructures in the phase space of discrete tracers