A MONTE CARLO ANALYSIS OF THE VELOCITY DISPERSION OF THE GLOBULAR CLUSTER PALOMAR 14
- 1. INAF Osservatorio Astronomico di Padova, vicolo dell'Osservatorio 5, I-35122 Padova (Italy)
- 2. Dipartimento di Astronomia, Università di Bologna, I-40127 Bologna (Italy)
- 3. Dipartimento di Fisica, Università di Roma La Sapienza, Piazzale Aldo Moro 2, I-00185 Rome (Italy)
Description
We present the results of a detailed analysis of the projected velocity dispersion of the globular cluster Palomar 14 performed using recent high-resolution spectroscopic data and extensive Monte Carlo simulations. The comparison between the data and a set of dynamical models (differing in fraction of binaries, degree of anisotropy, mass-to-light ratio M/L, cluster orbit, and theory of gravity) shows that the observed velocity dispersion of this stellar system is well reproduced by Newtonian models with a fraction of binaries fb < 30% and an M/L compatible with the predictions of stellar evolution models. Instead, models computed with a large fraction of binaries systematically overestimate the cluster velocity dispersion. We also show that, across the parameter space sampled by our simulations, models based on the modified Newtonian dynamics theory can be reconciled with observations only assuming values of M/L lower than those predicted by stellar evolution models under standard assumptions.
Availability note (English)
Available from http://dx.doi.org/10.1088/0004-637X/744/2/196Additional details
Identifiers
Publishing Information
- Journal Title
- Astrophysical Journal
- Journal Volume
- 744
- Journal Issue
- 2
- Journal Page Range
- [12 p.]
- ISSN
- 0004-637X
- CODEN
- ASJOAB
INIS
- Country of Publication
- United States
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 43094355
- Subject category
- S79: ASTROPHYSICS, COSMOLOGY AND ASTRONOMY;
- Descriptors DEI
- ANISOTROPY; COMPUTERIZED SIMULATION; GRAVITATION; MASS; MONTE CARLO METHOD; ORBITS; STAR EVOLUTION; STARS; VELOCITY
- Descriptors DEC
- CALCULATION METHODS; EVOLUTION; SIMULATION