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New Tool Enhances Radio Astronomy Simulations

A new tool aids in simulating galaxy observations, focusing on HI emissions.

― 5 min read


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This article discusses advancements in radio astronomy, focusing on a new tool designed to simulate observations of galaxies. The goal is to better understand how galaxies form and evolve by looking at two important components: Neutral Hydrogen (HI) and radio continuum emissions. These play a key role in studying the gas and stars within galaxies.

Background

Neutral hydrogen is the most common element in the universe and serves as the fuel for star formation. When studying galaxies, HI emissions are crucial since they provide information about how gas interacts with stars. Radio continuum emissions come from various processes in galaxies, primarily related to star formation and activity in the centers of galaxies.

Researchers have developed a model called T-RECS, which stands for Tiered Radio Extragalactic Continuum Simulation. Initially, this model focused solely on radio continuum emissions but has now been updated to include HI emissions.

What is T-RECS?

T-RECS is a computational tool that helps astronomers create artificial catalogues of galaxies based on observed data. These catalogues can simulate what we might expect to see in future radio surveys. By including both HI emissions and radio continuum emissions, the updated model aims to provide a more comprehensive view of galaxy properties.

How the Model Works

The updated T-RECS model uses various pieces of information to generate its simulations. It starts with the HI mass function, which describes how the amount of neutral hydrogen varies among different types of galaxies. This function helps convert the mass of neutral hydrogen into observable flux, or the strength of the signals detected by radio telescopes.

The model also considers the size and shape of galaxies. Different types of galaxies-like spirals and ellipticals-have distinct characteristics that affect their emissions. By incorporating these factors, the model can create more accurate representations of galaxies.

Improvements in the Model

One significant improvement in the updated T-RECS model is the way it aligns with the latest observational data at 150 MHz. This frequency is an important part of the radio spectrum for studying galaxies. By adjusting the model to better fit these observations, researchers can increase the accuracy of their predictions regarding what future surveys may find.

Furthermore, the model introduces a connection between HI mass and radio emissions from star-forming galaxies. This link is crucial because it allows astronomers to recognize potential counterparts between HI and radio surveys, enabling a more integrated understanding of galaxy properties.

Mock Catalogues

The T-RECS model generates mock catalogues that simulate observations of galaxies. These mock catalogues are valuable tools for astronomers planning future surveys. By using these catalogues, researchers can predict how many galaxies they might detect, how bright these galaxies will appear, and how they will be distributed across the sky.

The mock catalogues produced by T-RECS include a range of properties for each galaxy, such as its brightness, size, and type. This information allows astronomers to test their observational techniques and refine their understanding of how galaxies are distributed in the universe.

Importance of HI Surveys

HI surveys are becoming increasingly important in radio astronomy. They offer insights into the gas content of galaxies, which is critical for understanding how galaxies develop over time. Upcoming observational projects, like the Square Kilometre Array (SKA), are expected to greatly enhance our ability to conduct HI surveys.

By accurately modeling HI emissions, T-RECS helps researchers prepare for these surveys. It allows scientists to simulate different scenarios and anticipate what they might discover, ultimately leading to a better understanding of galaxy formation and evolution.

Cross-Matching Catalogues

One of the unique features of the T-RECS model is its ability to cross-match HI and radio continuum catalogues. This means that for each galaxy observed in one catalogue, researchers can identify corresponding galaxies in the other catalogue. This cross-matching enhances the ability to study the relationship between neutral hydrogen and star formation.

By applying specific rules to identify counterparts, the model ensures that the resulting catalogues represent a meaningful connection between the two types of emissions. This process involves comparing properties and determining the likelihood of an association based on the characteristics of the galaxies.

Clustering Properties

Understanding how galaxies group together in the universe is essential for studying large-scale structures. T-RECS includes a method for simulating the clustering of galaxies by associating them with dark matter haloes. Dark matter is an invisible substance that makes up a significant portion of the universe's mass.

By matching galaxies to dark matter haloes from simulations, T-RECS can reproduce the observed clustering properties of galaxies. This allows researchers to investigate how galaxies interact with their environments and how this affects their evolution over time.

Validation of the Model

To ensure the T-RECS model produces reliable results, researchers compare its predictions with observed data. By validating the model against existing surveys, astronomers can check whether it accurately reproduces known galaxy properties. This process is crucial for building confidence in the model's predictions for future surveys.

The validation steps involve comparing clustering properties and brightness distributions of galaxies. If the model aligns well with observations, it increases the likelihood that its predictions will also be accurate for unobserved galaxies.

Conclusion

The updated T-RECS model represents a significant advancement in our ability to simulate and understand galaxies. By incorporating both HI emissions and radio continuum emissions, it provides a comprehensive framework for studying the gas and stars within galaxies.

This model can help prepare for upcoming HI surveys, allowing astronomers to predict what they might find and optimize their observational strategies. The ability to cross-match catalogues enhances our understanding of the relationship between gas and star formation, which is essential for unraveling the complexities of galaxy evolution.

Through continued research and validation, T-RECS has the potential to be a vital tool for astronomers as they explore the universe and seek to answer fundamental questions about the nature of galaxies and their formation.

Original Source

Title: The Tiered Radio Extragalactic Continuum (T-RECS) simulation II: HI emission and continuum-HI cross-correlation

Abstract: In this paper we extend the Tiered Radio Extragalactic Continuum Simulation (T-RECS) to include HI emission. The HI T-RECS model is based on the most recent HI mass function estimates, combined with prescriptions to convert HI mass to total integrated HI flux. It further models source size, morphology and kinematics, including rotational velocity and HI line width. The continuum T-RECS model is updated to improve the agreement with deeper number counts available at 150\,MHz. The model for star-forming galaxies (SFGs) is also modified according to the most recent indications of a star formation rate (SFR)--radio luminosity relation, which depends primarily on stellar mass rather than redshift. We further introduce prescriptions to associate an HI mass to the T-RECS radio continuum SFG and Active Galactic Nuclei (AGN) populations. This gives us a way to meaningfully associate counterparts between HI and continuum catalogues, thus building HI $\times$ continuum simulated observations. Clustering properties of the sources in both HI and continuum are reproduced by associating the galaxies to dark matter haloes of a cosmological simulation. We deliver a set of mock catalogues, as well as the code to produce them, which can be used for simulating observations and predicting results from radio surveys with existing and forthcoming radio facilities, such as the Square Kilometre Array (SKA)

Authors: Anna Bonaldi, Philippa Hartley, Tommaso Ronconi, Gianfranco De Zotti, Matteo Bonato

Last Update: 2023-06-22 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2305.10175

Source PDF: https://arxiv.org/pdf/2305.10175

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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