Using the PLC and modern algorithms to detect clustering and associations in nearby galaxies

The Hubble Space Telescope (HST) is not affected by the atmospheric seeing, bringing observations that have an amazing spatial resolution that allows us to isolate the individual stars in nearby galaxies. In consequence, to have good photometry of large samples of stars in these objects. Therefore,...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Feinstein Baigorri, Carlos, Baume, Gustavo Luis, Rodríguez, María Jimena, Vergne, María Marcela
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2017
Materias:
Ciencias Astronómicas
Path Linkage Criterion
Hubble Space Telescope
Galaxies
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/155357
http://www.aspbooks.org/publications/522/549.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata
id I19-R120-10915-155357
record_format dspace
spelling I19-R120-10915-1553572023-07-11T04:04:20Z http://sedici.unlp.edu.ar/handle/10915/155357 http://www.aspbooks.org/publications/522/549.pdf isbn:978-1-58381-932-6 Using the PLC and modern algorithms to detect clustering and associations in nearby galaxies Feinstein Baigorri, Carlos Baume, Gustavo Luis Rodríguez, María Jimena Vergne, María Marcela 2017-10 2018 2023-07-10T17:39:02Z en Ciencias Astronómicas Path Linkage Criterion Hubble Space Telescope Galaxies The Hubble Space Telescope (HST) is not affected by the atmospheric seeing, bringing observations that have an amazing spatial resolution that allows us to isolate the individual stars in nearby galaxies. In consequence, to have good photometry of large samples of stars in these objects. Therefore, high accuracy studies of extragalactic stellar associations and clusters could be done. One of most powerful algorithm for detecting clustering in a large amount of data is the Path Linkage Criterion (PLC), Battinelli (1991). We show in this work the results of our implementation of a high speed version of the PLC that was applied to HST data of two galaxies: NGC 300 and NGC 253. Also, we show the results obtained with PLC and others popular methods found in the literature of clustering, applied to the real data and to simulated data. Instituto de Astrofísica de La Plata Objeto de conferencia Objeto de conferencia http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf 549-551
institution Universidad Nacional de La Plata
institution_str I-19
repository_str R-120
collection SEDICI (UNLP)
language Inglés
topic Ciencias Astronómicas
Path Linkage Criterion
Hubble Space Telescope
Galaxies
spellingShingle Ciencias Astronómicas
Path Linkage Criterion
Hubble Space Telescope
Galaxies
Feinstein Baigorri, Carlos
Baume, Gustavo Luis
Rodríguez, María Jimena
Vergne, María Marcela
Using the PLC and modern algorithms to detect clustering and associations in nearby galaxies
topic_facet Ciencias Astronómicas
Path Linkage Criterion
Hubble Space Telescope
Galaxies
description The Hubble Space Telescope (HST) is not affected by the atmospheric seeing, bringing observations that have an amazing spatial resolution that allows us to isolate the individual stars in nearby galaxies. In consequence, to have good photometry of large samples of stars in these objects. Therefore, high accuracy studies of extragalactic stellar associations and clusters could be done. One of most powerful algorithm for detecting clustering in a large amount of data is the Path Linkage Criterion (PLC), Battinelli (1991). We show in this work the results of our implementation of a high speed version of the PLC that was applied to HST data of two galaxies: NGC 300 and NGC 253. Also, we show the results obtained with PLC and others popular methods found in the literature of clustering, applied to the real data and to simulated data.
format Objeto de conferencia
Objeto de conferencia
author Feinstein Baigorri, Carlos
Baume, Gustavo Luis
Rodríguez, María Jimena
Vergne, María Marcela
author_facet Feinstein Baigorri, Carlos
Baume, Gustavo Luis
Rodríguez, María Jimena
Vergne, María Marcela
author_sort Feinstein Baigorri, Carlos
title Using the PLC and modern algorithms to detect clustering and associations in nearby galaxies
title_short Using the PLC and modern algorithms to detect clustering and associations in nearby galaxies
title_full Using the PLC and modern algorithms to detect clustering and associations in nearby galaxies
title_fullStr Using the PLC and modern algorithms to detect clustering and associations in nearby galaxies
title_full_unstemmed Using the PLC and modern algorithms to detect clustering and associations in nearby galaxies
title_sort using the plc and modern algorithms to detect clustering and associations in nearby galaxies
publishDate 2017
url http://sedici.unlp.edu.ar/handle/10915/155357
http://www.aspbooks.org/publications/522/549.pdf
work_keys_str_mv AT feinsteinbaigorricarlos usingtheplcandmodernalgorithmstodetectclusteringandassociationsinnearbygalaxies
AT baumegustavoluis usingtheplcandmodernalgorithmstodetectclusteringandassociationsinnearbygalaxies
AT rodriguezmariajimena usingtheplcandmodernalgorithmstodetectclusteringandassociationsinnearbygalaxies
AT vergnemariamarcela usingtheplcandmodernalgorithmstodetectclusteringandassociationsinnearbygalaxies
_version_ 1771439074119254016

Ejemplares similares