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Measuring Stellar Mass: The Joy of Cookie Recipes in Space

Discover how scientists estimate the mass of stars in distant galaxies.

R. K. Cochrane, H. Katz, R. Begley, C. C. Hayward, P. N. Best

― 6 min read


Galactic Mass Mystery: Galactic Mass Mystery: Weighing Stars distant stellar masses. Uncover the challenges in measuring
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When we look up at the stars, we can’t help but wonder how they came to be. One important aspect of understanding the universe is figuring out how galaxies form and grow. Scientists use telescopes, like the James Webb Space Telescope (JWST), to collect information about these faraway galaxies. One of the crucial bits of information they need is the mass of stars in these galaxies. However, measuring these Stellar Masses isn't as straightforward as it sounds.

What is Stellar Mass?

Stellar mass refers to how much matter is contained in a star or a group of stars in a galaxy. Think of it like weighing cookies in a box. If you want to know how many cookies you have, you need to know the total weight of the box, but with stars, we can't simply put them on a scale. We have to figure it out using light.

The Role of JWST

The JWST is a super fancy telescope that collects light from distant galaxies. Its sensitivity helps it see light from stars that are billions of years old, and it can help determine the mass of these stars based on the light they emit. This is done using something called Spectral Energy Distribution (SED) fitting, which is like figuring out what ingredients went into your cookie dough by tasting the final cookie.

How is SED Fitting Done?

Imagine you baked cookies and want to know the recipe. You would analyze their taste, texture, and appearance to guess what went in. Similarly, SED fitting compares the light from a galaxy to various models to estimate how many stars are in that galaxy.

The method uses computer models of how galaxies are expected to look based on star formation history, dust, and other factors. By analyzing the light collected by JWST, scientists can estimate how much mass is made up of stars in those galaxies. However, this process is prone to some errors, which can lead to incorrect masses.

Errors in Measuring Mass

The process isn’t perfect. Sometimes the models used in SED fitting don’t accurately represent the actual galaxies. It’s a bit like trying to fit a square cookie into a round hole—something just doesn’t fit right. Because of these errors, scientists sometimes overestimate or underestimate the mass of stars in galaxies.

For example, low-mass galaxies (think of them as small cookies) tend to have their mass overestimated, while high-mass galaxies (the big cookies) might be underestimated. This is because of how strong Emission Lines in the light can trick the fitting process into thinking there are more or fewer stars than there actually are.

Why Does This Matter?

Why should we care if we’re slightly off in our mass estimations? Well, understanding the mass of stars in galaxies helps scientists build a picture of how galaxies form and evolve over time. If the mass is miscalculated, it can mess with our bigger ideas about the universe’s history.

If we think there are more low-mass galaxies than there really are, it could end up skewing our understanding of how galaxies interact and grow. If we underestimate high-mass galaxies, we might overlook important pieces of the cosmic puzzle.

Using Simulated Galaxies for Testing

To tackle the issue of measuring stellar mass accurately, scientists often use simulated galaxies. These simulated galaxies have known properties, much like a practice test that gives away the answers. By using these simulations, scientists can test how well the SED fitting methods work and figure out where they might be making mistakes.

Recent studies have used a simulation called SPHINX, which mimics the conditions of the universe as we understand them. By applying SED fitting to these simulated galaxies, scientists can determine how accurately they can recover the known masses of the simulated galaxies.

Results of Testing SED Fitting

The good news is that the results have been generally positive! When scientists used the SED fitting code on these simulated galaxies, they found that the stellar masses could be recovered fairly well. On average, the errors were not too far off, which means the fitting methods are on the right track. However, there were still notable trends that raised eyebrows.

Low-mass galaxies often had their masses estimated higher than they actually were, while high-mass galaxies showed the opposite trend. This inconsistency can cause issues when trying to understand the galaxy population as a whole.

The Importance of Emission Lines

One of the main culprits in mass estimation mistakes is the strong emission lines present in the light from these galaxies. Think of emission lines as the noisy kids in a classroom—they can be distracting. These lines can get in the way of correctly modeling the light coming from galaxies, leading to misleading conclusions.

When fitting the data, if the fitting code misjudges the strength of these emission lines, it can cause either an overestimation or an underestimation of stellar mass. The more complex the galaxy’s star formation history, the more difficult it can be to fit the data correctly.

Impact on Stellar Mass Functions

Now, if all this mass miscalculation happens, it creates a ripple effect. The synthesized stellar mass function, which describes how many galaxies there are at various mass levels, gets tilted. Imagine a scale that’s supposed to balance perfectly but keeps leaning to one side. This skewing can change our understanding of how galaxies populate the universe.

At certain redshifts, the stellar mass function shows more low-mass galaxies and fewer high-mass galaxies than what is actually true. This leads to conclusions that might misguide our understanding of the galaxy distribution across the cosmos.

Future Directions

So what do we do now? First off, it’s important to recognize that more data can lead to better results. Including additional photometric coverage from other instruments can provide more accurate measurements. More data means fewer chances for those tricky emission lines to hide the true nature of the galaxies.

Future studies should also focus on testing different models, similar to how bakers tweak their recipes to perfect their cookies. By refining the SED fitting methods used and considering potential biases, scientists can improve their estimates of stellar masses in high-redshift galaxies.

Another area to explore is the role of redshift. Redshift is a measure of how fast something is moving away from us in space. Changes in redshift can influence the way light behaves, and thus impact mass estimation. By understanding how redshift affects measurements, scientists can get a clearer picture of how galaxies form and evolve through time.

Conclusion

In a nutshell, measuring the mass of stars in distant galaxies using JWST is a complex but worthwhile endeavor. While there are hurdles and potential miscalculations along the way, using simulations and refining fitting methods can help steer scientists in the right direction. The pursuit of knowledge about our universe is ongoing, and with every observation, we step closer to unraveling the mysteries of the cosmos—and perhaps even solving the great cosmic cookie conundrum!

Original Source

Title: High-z stellar masses can be recovered robustly with JWST photometry

Abstract: Robust inference of galaxy stellar masses from photometry is crucial for constraints on galaxy assembly across cosmic time. Here, we test a commonly-used Spectral Energy Distribution (SED) fitting code, using simulated galaxies from the SPHINX20 cosmological radiation hydrodynamics simulation, with JWST NIRCam photometry forward-modelled with radiative transfer. Fitting the synthetic photometry with various star formation history models, we show that recovered stellar masses are, encouragingly, generally robust to within a factor of ~3 for galaxies in the range M*~10^7-10^9M_sol at z=5-10. These results are in stark contrast to recent work claiming that stellar masses can be underestimated by as much as an order of magnitude in these mass and redshift ranges. However, while >90% of masses are recovered to within 0.5dex, there are notable systematic trends, with stellar masses typically overestimated for low-mass galaxies (M*~10^9M_sol). We demonstrate that these trends arise due to the SED fitting code poorly modelling the impact of strong emission lines on broadband photometry. These systematic trends, which exist for all star formation history parametrisations tested, have a tilting effect on the inferred stellar mass function, with number densities of massive galaxies underestimated (particularly at the lowest redshifts studied) and number densities of lower-mass galaxies typically overestimated. Overall, this work suggests that we should be optimistic about our ability to infer the masses of high-z galaxies observed with JWST (notwithstanding contamination from AGN) but careful when modelling the impact of strong emission lines on broadband photometry.

Authors: R. K. Cochrane, H. Katz, R. Begley, C. C. Hayward, P. N. Best

Last Update: 2024-12-03 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2412.02622

Source PDF: https://arxiv.org/pdf/2412.02622

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to arxiv for use of its open access interoperability.

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