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A New Approach to Measuring Galaxy Distances

Combining submillimeter photometry with traditional methods improves redshift estimates for distant galaxies.

Pouya Tanouri, Ryley Hill, Douglas Scott, Edward L. Chapin

― 6 min read


Improving Galaxy Distance Improving Galaxy Distance Measurements for better cosmic insights. New methods enhance redshift estimates
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When we gaze at the night sky, we can see countless stars and galaxies. But understanding how far away these galaxies are is a tough challenge for astronomers. Knowing the distance to these galaxies helps scientists study their properties and how they fit into the grand picture of the universe. This measurement is called "redshift," which is simply a way to describe how much a galaxy's light has stretched as the universe expands.

Astronomers have two main methods to estimate redshift: Spectroscopy and Photometry. Spectroscopy gives the most accurate measurements but requires a lot of telescope time, which is a precious resource in the world of astronomy. Photometry, on the other hand, is quicker and easier, but it relies on light detected in different color bands.

However, most photometric methods focus only on visible light and near-infrared light, ignoring longer wavelengths. This approach leaves many distant galaxies, especially Dusty Star-forming Galaxies, in the dark—quite literally! These galaxies can be bright at far-infrared and Submillimeter wavelengths, which are often overlooked.

The Challenge of Measuring Redshifts

Measuring the distances to galaxies is essential for understanding their characteristics and how they evolve over time. The redshift is like a cosmic GPS that tells us how far away a galaxy is from us. Most methods use a galaxy's spectral energy distribution (SED) as the primary source of information to determine redshift. When the universe expands, the light from galaxies gets stretched, making it look redder.

Spectroscopy is known for providing high-quality redshift measurements, but it's not always practical. Photometric redshifts are often used in large surveys because they save time and resources. This is especially useful for fainter sources of light, which require deeper telescope integrations for spectroscopy.

Despite its advantages, photometric redshift estimation has its limitations. Most methods stick to data from optical and near-infrared light, and they miss out on crucial information available in the far-infrared and submillimeter ranges. This is a problem, especially for dusty star-forming galaxies, which can be difficult to measure using traditional optical methods.

The Bright Side of Submillimeter Photometry

Dusty star-forming galaxies, or DSFGs for short, play a significant role in the universe as they are primarily responsible for a large chunk of cosmic star formation. However, obtaining redshift estimates for these galaxies can be tricky because their optical characteristics don't always stand out. That's where submillimeter photometry comes in.

By incorporating data from far-infrared and submillimeter wavelengths, astronomers can enhance redshift estimates for DSFGs, which are often bright in these ranges. This article will explain how this new approach can reduce the number of outliers—galaxies for which there is a significant difference between photometric and spectroscopic redshifts.

How It Works

The technique of using submillimeter photometry involves analyzing multiple wavelength bands to generate more reliable redshift estimates. This method allows astronomers to make sense of light from galaxies that might otherwise be overlooked.

The process begins with measuring the light at three submillimeter bands. Using this data, astronomers can estimate the peak frequency and amplitude of the light emitted by a galaxy. With this information, they can link these observed values to intrinsic properties—like temperature and luminosity—of the galaxies.

The final goal? To enhance the accuracy of redshift estimates by merging data from submillimeter observations with traditional photometric techniques used for optical and near-infrared wavelengths. By combining these two sources of information, astronomers can significantly improve their understanding of galaxy distances.

Testing the Method

To ensure this new approach works, scientists put it to the test using real galaxy catalogs. They selected two different types of samples: one that focused on optical data combined with submillimeter data and another using purely far-infrared data.

The first test involved manipulating a highly detailed catalog of galaxies, creating a version with artificial noise to simulate what future surveys might encounter. Surprisingly, even for galaxies that already had good optical redshift estimates, the addition of submillimeter data further reduced the number of outliers.

The second test used a catalog of galaxies selected based on their far-infrared properties. Here, the researchers found that the new method drastically reduced the number of outliers in redshift estimates. This success shows that incorporating submillimeter photometry into redshift estimation can lead to more reliable results.

A Closer Look at the Numbers

In the first sample, where optical data was manipulated, starting with a low number of outliers meant that the submillimeter data provided a slight improvement. In contrast, when working with the purely far-infrared sample, researchers observed a substantial reduction in outliers—from 23 to just 8. This means that by mixing submillimeter data into the analysis, astronomers could get a more accurate picture of where these galaxies really are in the universe.

However, it is essential to remember that the success of the method heavily depends on the properties of the galaxies being studied. The strength of the approach lies within its flexibility; it can be adjusted and refined as more data is collected from future telescope surveys.

The Future of Photometric Redshift Estimation

While the current technique primarily uses data from the Herschel-SPIRE telescope, it has broader applications. Adding more submillimeter data, like measurements from SCUBA-2, could further improve accuracy. As upcoming surveys like Euclid and Rubin gather more information about galaxies, the process for estimating redshifts can keep evolving.

Additionally, scientists can incorporate a volume prior, which refers to the distribution of galaxies within certain zones of space. Doing so allows researchers to capture a more comprehensive picture of galaxy populations. These improvements could become even more significant as the catalog of known galaxies expands.

Conclusion

In summary, the task of estimating redshift for galaxies has long been a challenging hurdle for astronomers. However, this new method of combining submillimeter photometry with traditional optical techniques shows promise. Whether it is deciphering the distance to a dusty star-forming galaxy or improving accuracy for large surveys, this innovative approach paves the way for a deeper understanding of our universe.

So, the next time you look up at the stars, just remember: those twinkling lights could tell us stories about their journeys across the cosmos, and thanks to modern techniques, we might just get the right directions!

Original Source

Title: Improving Optical Photo-z Estimates Using Submillimeter Photometry

Abstract: Estimating the redshifts of distant galaxies is critical for determining their intrinsic properties, as well as for using them as cosmological probes. Measuring redshifts spectroscopically is accurate, but expensive in terms of telescope time, hence it has become common to measure `photometric' redshifts, which are fits to photometry taken in a number of filters using templates of galaxy spectral energy distributions (SEDs). However, most photometric methods rely on optical and near-infrared (NIR) photometry, neglecting longer wavelength data in the far-infrared (FIR) and millimeter. Since the ultimate goal of future surveys is to obtain redshift estimates for all galaxies, it is important to improve photometric redshift algorithms for cases where optical/NIR fits fail to produce reliable results. For specific subsets of galaxies, in particular dusty star-forming galaxies (DSFGs), it can be particularly hard to obtain good optical photometry and thus reliable photometric redshift estimates, while these same galaxies are often bright at longer wavelengths. Here we describe a new method for independently incorporating FIR-to-millimeter photometry to the outputs of standard optical/NIR SED-fitting codes to help improve redshift estimation, in particular of DSFGs. We test our method with the H-ATLAS catalog, which contains FIR photometry from Herschel-SPIRE cross-matched to optical and NIR observations, and show that our approach reduces the number of catastrophic outliers by a factor of three compared to standard optical and NIR SED-fitting routines alone.

Authors: Pouya Tanouri, Ryley Hill, Douglas Scott, Edward L. Chapin

Last Update: 2024-12-04 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2412.03730

Source PDF: https://arxiv.org/pdf/2412.03730

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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