Teaching an old dog new tricks: Applying color-magnitude diagrams to semi-resolved galaxies

Title: Measuring Star-Formation Histories, Distances, and Metallicities with Pixel Color-Magnitude Diagrams I: Model Definition and Mock Tests

Authors: B. A. Cook, Charlie Conroy, Pieter van Dokkum, & Joshua S. Speagle

First Author’s Institution: Center for Astrophysics | Harvard & Smithsonian

Status: Submitted to The Astrophysical Journal, open access on Arxiv

The wealth of information we have gathered about the lives of galaxies within our universe is due in part to increasingly larger and more sophisticated surveys of the night sky. Better resolution, precipitated by rapid advancement in imaging technology and telescope design, has enabled detailed studies ranging from our local group to the edges of the cosmos.

Meanwhile, the color-magnitude diagram (CMD) has remained one of the most called upon diagnostic figures in an astronomer’s tool belt. The combination of color and apparent magnitude alone is enough to map out a stellar population without much clutter, allowing for a clean-cut track of main-sequence stars burning away their hydrogen cores as well as potentially more massive stars in later stages of their lives which have moved off the main sequence. Traditionally, the CMD has enabled astronomers to obtain estimates of the ages of star clusters by determining their main-sequence turn-off point. More useful perhaps is the ability to measure dust as a shift in color (due to reddening) and magnitude (due to extinction), as well as to estimate distances by leveraging the statistical advantage of having tens to hundreds of stars to compare observed magnitudes with expected magnitudes based on theoretical CMD tracks.

While many of these techniques have been known and readily applied in the past and met with great success within our Galaxy, the authors of today’s astrobite demonstrate that this old dog can be taught new tricks.

The usefulness of barely resolved galaxies

Our ability to understand the universe is limited in part by angular resolution. For the few galaxies in the nearby universe for which individual stars can be discerned, we can rely on traditional techniques to understand their stellar populations, dust and metal content in exquisite detail. The opposite is true for extremely distant galaxies which are captured in only a handful of pixels where there is currently no hope to resolve any stars whatsoever. In this latter regime, we must rely on difficult-to-calibrate theoretical models of galaxy spectra to estimate the integrated properties of these remote systems.

In between these two extremes lie the semi-resolved galaxies, and they exhibit an interesting observational quirk. Although individual stars cannot be resolved, there are enough pixels such that for any one pixel there may be surface brightness fluctuations caused by rare but bright stars. The fluctuations trace the number of bright stars visible due to Poisson sampling and has been exploited in the past. The authors of this paper go further by leveraging these surface brightness fluctuations to construct a pixelized analog of a color-magnitude diagram for a semi-resolved system called a pixelized CMD (pCMD). The traditional diagnostics to estimate star, dust, and metal content are hence accessible, albeit with more complex implementation.

This image is currently unavailable due to a known server malfunction.

Figure 1. Summary of the pCMD method. A) Metallicity and a star-formation history model dictate the stellar evolution tracks. B) Stars are randomly sampled per pixel. C) Stars are modified for dust and distance. D) The simulated image is made by summing the fluxes of all the stars drawn into that pixel, as shown in the top left corner. E) The models are convolved with models of the instrumental response. F) Pixel fluxes are converted to apparent magnitude, with the original stellar evolution track shown beneath for reference. From Figure 1 of the paper.

The Pixelized Color-Magnitude Diagram

The pCMD contains information not only about the galaxy, but also effects relating to the instrumentation including the point-spread function (PSF) and photometric noise which must be accounted for. The authors opt for a forward modeling approach which allows for the construction of a simulated pCMD which can then be matched to observation given information such a model of the galaxy and the requisite photometric information, as described in Figure 1. By constructing a grid of simulated pCMDs varying in stellar content, dust, and metallicity, it is then a well-defined problem to determine the best-fit parameters by searching through the grid of models to find the best one.

In the current implementation of the pCMD method (PCMDPy — available on GitHub), there are four components of the model inherent to the galaxy:

Stellar populations: The current stellar populations observed are the direct result of star-formation dating back to the formation of that galaxy. They should trace the assembly of stellar mass over time known as a star-formation history (SFH), and vice versa. Hence, the distribution of stellar masses formed (the inital mass function or IMF) will govern not only the distribution of stellar masses but also the conversion between the number of stars and the mass of stars within a pixel. Having confident estimates the SFH of a galaxy can enable definitive studies of the assembly of galaxies in the universe, which is currently a major line of research.

Metallicity: The metallicity of each pixel is modeled independently of the star-formation history in the current implementation. This is a simplification as interstellar metallicity is driven by enrichment from dying stars and supernovae.

Dust: Dust will have the effect of both reddening and dimming the light from a galaxy. In this implementation, the dust is modeled as a single thin screen per pixel. Although this is too a simplification, it is well-founded as dust geometries are virtually impossible to obtain.

Distance: As a given galaxy is seen at larger distances, the number of stars per pixel increases. Although the surface brightness remains constant, the rare Poisson fluctuations due to particularly bright stars decreases and the average luminosity per pixel increases. As shown in Figure 2, this increases the overall brightness level in the pCMD but decreases the scatter. Hence, pCMDs can simultaneously recover distances and stellar populations for galaxies in the semi-resolved regime.

This image is currently unavailable due to a known server malfunction.

Figure 2. Effect of surface number density and distance, where each row has the same average flux. Increasing the surface number density Npix raises the CMD and decreases the scatter due to fewer fluctuations, but does not change its color. Changing distance has a similar effect, but does not affect the scatter. Adapted from Figure 2 of the paper.

As the distance to a galaxy increases, the fluctuations lessen as there are more stars per pixel. At about 10 Mpc, the power of these fluctuations to constrain the stellar populations declines as the uncertainty rises sharply. However, with Hubble resolution, the authors report that mock properties can still be recovered within 68% confidence out to 100 Mpc, highlighting the utility of this newly revitalized method in providing additional constraints on galaxies previously only characterized by their integrated stellar light.

About John Weaver

I am a second year PhD student at the Cosmic Dawn Center at the University of Copenhagen, where I study the formation and evolution of galaxies across cosmic time with incredibly deep observations in the optical and infrared. I got my start at a little planetarium, and I've been doing lots of public outreach and citizen science ever since.

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