Quantifying and Controlling Biases in Estimates of Dark Matter Halo Concentration
ABSTRACT: We use bootstrapping to estimate the bias of concentration estimates on N-body dark matter halos as a function of particle number. We find that algorithms based on the maximum radial velocity and radial particle binning tend to overestimate the concentration by 15% − 20% for halos sampled...
- Autores:
-
Muñoz Cuartas, Juan Carlos
Poveda Ruiz, Christian Nicanor
Forero Romero, Jaime Ernesto
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2016
- Institución:
- Universidad de Antioquia
- Repositorio:
- Repositorio UdeA
- Idioma:
- eng
- OAI Identifier:
- oai:bibliotecadigital.udea.edu.co:10495/35227
- Acceso en línea:
- https://hdl.handle.net/10495/35227
- Palabra clave:
- Materia oscura (Astronomía)
Dark matter (Astronomy)
Galaxias
Galaxies
Halos
http://id.loc.gov/authorities/subjects/sh87007317
- Rights
- openAccess
- License
- http://creativecommons.org/licenses/by/2.5/co/