HST/WFC3 Observations of Low-Mass Globular Clusters AM 4 and Palomar 13: Physical Properties and Implications for Mass Loss
Katherine M. Hamren, Graeme H. Smith, Puragra GuhaThakurta, Andrew E., Dolphin, Daniel R. Weisz, Abhijith Rajan, Carl J. Grillmair

TL;DR
This study uses HST/WFC3 photometry and stellar evolution models to analyze the physical properties and mass loss of two faint globular clusters, revealing significant differences in their mass functions and implications for their evolutionary histories.
Contribution
It provides detailed physical parameters and mass function slopes for AM 4 and Palomar 13, highlighting the impact of model choice and suggesting dynamical processes influence low-mass star loss.
Findings
AM 4 has a steeper mass function slope than typical clusters of similar luminosity.
Palomar 13's mass function aligns with general trends for low-luminosity clusters.
Systematic uncertainties from stellar models dominate over random errors in parameter estimation.
Abstract
We investigate the loss of low-mass stars in two of the faintest globular clusters known, AM 4 and Palomar 13 (Pal 13), using HST/WFC3 F606W and F814W photometry. To determine the physical properties of each cluster --- age, mass, metallicity, extinction, present day mass function (MF) --- we use the maximum likelihood color-magnitude diagram (CMD) fitting program MATCH and the Dartmouth, Padova and BaSTI stellar evolution models. For AM 4, the Dartmouth models provide the best match to the CMD and yield an age of >13 Gyr, metallicity log Z/Z_solar = -1.68 +/- 0.08, a distance modulus (m-M)_V = 17.47 +/- 0.03 and reddening A_V = 0.19 +/- 0.02. For Pal 13 the Dartmouth models give an age of 13.4 +/- 0.5 Gyr, log Z/Z_solar = -1.55 +/- 0.06, (m-M)_V = 17.17 +/- 0.02 and A_V = 0.43 +/- 0.01. We find that the systematic uncertainties due to choice in assumed stellar model greatly exceed the…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
