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Quasars: Cosmic Beacons and Their Mysteries

Unraveling the effects of absorption systems on quasar observations.

Lucas Napolitano, Adam D. Myers, Jessica Aguilar, Steven Ahlen, Davide Bianchi, David Brooks, Todd Claybaugh, Shaun Cole, Axel de la Macorra, Biprateep Dey, Andreu Font-Ribera, Jaime E. Forero-Romero, Enrique Gaztañaga, Satya Gontcho A Gontcho, Gaston Gutierrez, Klaus Honscheid, Stephanie Juneau, Andrew Lambert, Martin Landriau, Laurent Le Guillou, Aaron Meisner, Ramon Miquel, John Moustakas, Jeffrey A. Newman, Francisco Prada, Ignasi Pérez-Ràfols, Graziano Rossi, Eusebio Sanchez, David Schlegel, Michael Schubnell, David Sprayberry, Gregory Tarlé, Benjamin Alan Weaver, Hu Zou

― 7 min read


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Table of Contents

Quasars, or quasi-stellar objects, are incredibly bright points in the universe. They are supermassive black holes at the center of galaxies, surrounded by a swirling disk of gas and dust. When matter falls into a black hole, it heats up and emits vast amounts of energy, making quasars some of the brightest objects we can see. They are so bright that they can be seen across billions of light-years away.

However, studying quasars is not as simple as it sounds. The light we receive from them can be affected by various factors along the way, including absorption systems. These absorption systems are made up of clouds of gas and dust that can block or change the light coming from the quasar. Understanding how these systems work is essential to getting accurate information about quasars and the universe around them.

Absorption-Line Systems Explained

Absorption-line systems are regions in the spectrum of light where certain wavelengths are absorbed by elements in the gas and dust. When light from a quasar passes through these clouds, specific wavelengths are taken out of the spectrum, leading to dark lines or features in the observed light. These lines can tell us a lot about the composition and distance of the absorbing material.

There are two main types of absorption systems that scientists study: associated absorption systems (AAS) and intervening absorption systems (IAS). AAS are those connected to the quasar itself, while IAS are clouds of gas that are along the line of sight but not physically associated with the quasar. Think of AAS as being guests at a party who are standing really close to the host, while IAS are just random folks outside the house, peeking in.

The Importance of Redshift

Redshift is a phenomenon that occurs when light from an object in space is stretched due to its movement away from us. This stretching causes the light to shift towards the red end of the spectrum. The amount of redshift can give scientists vital information about how fast an object is moving and how far away it is.

When studying quasars, the redshift can be affected by the absorption systems in the way. If an absorption system is present, the light from the quasar can appear to have a different redshift than it would without the absorption. This can make it tricky for scientists to determine the quasar's actual distance and speed. It's like trying to measure the height of a person standing behind a tall fence: the presence of the fence can greatly affect what you see.

A Study of Quasar Spectra

In recent studies, a large number of quasar spectra—essentially light collections from quasars—were analyzed to find out how absorption systems impact their appearance. A dataset of over 50,000 quasar spectra helped shed light on how these absorption systems change the observed light, particularly focusing on the effects of AAS and IAS.

The study examined the "Reddening" effect of absorption systems, which refers to how the absorption makes the quasar's light look redder than it normally would. This effect was analyzed using a fitting process that compared the observed spectra of quasars to templates of unreddened light.

The analysis revealed that the average reddening caused by these absorbers was around a color excess of 0.04 magnitudes. Interestingly, absorbers at lower Redshifts (closer to us) and those with stronger absorption lines tended to increase the reddening effect. This may suggest that the closer we look, the more dust is found on the road—like a dirty windshield hiding the view!

The Role of Associated and Intervening Absorbers

When diving deeper into the data, researchers learned that the associated absorbers—those within a close distance to the quasar—showed a stronger reddening effect than the intervening absorbers. As we understand, AAS and IAS behave differently due to their locations. AAS are more likely to be affected by the quasar’s intense light and energy, making them dusty and enriched over time. In contrast, IAS often consist of clouds that are less directly affected by the quasar.

The study also observed that the absorption effects affected the redshift estimations of the quasars, particularly for those at higher redshifts—this means those farther away in the universe. At redshift values greater than 1.5, the behavior of absorbers showed a tendency to disrupt the expected smooth distribution of redshifts, leading to broader and even bifurcated distributions. This means that instead of a nice, orderly line of redshifts, it began to look more like a chaotic party with people bumping into each other!

Challenges of Measuring Redshift with Quasars

The main tool for measuring redshift in quasars involves looking at broad emission lines in their spectra. These lines can provide clues about how fast the quasar is moving away from us. However, they can also introduce significant uncertainty. When absorption systems are present, especially AAS, the broad emission lines can become distorted in ways that complicate their interpretation.

This distortion leads to uncertainties in determining the actual redshift, especially at high redshifts where measurements become increasingly tricky. It’s much like trying to read a train schedule while standing near a loud party: the noise makes it difficult to discern the important details!

Techniques for Better Measurement

To overcome these challenges, scientists employed a method to mask out the absorption lines in quasar spectra while recalculating the redshifts. By doing so, they could focus on the emission lines in various scenarios, helping to clarify how the presence of absorption affects the measurements.

Through this masking technique, researchers found that they could reduce the confusion caused by the absorption lines, leading to more accurate redshift estimates. As a result, the redshift distributions shifted, showing a more consistent pattern.

Findings and Implications

The results of the study found that AAS tend to have a significant impact on both the observed spectra of quasars and their redshift. The presence of AAS leads to systematic shifts in redshift, particularly at high values. It appears that the more we look at the universe, especially at greater distances, the more we realize how these absorption systems can obscure our view.

Interestingly, although the techniques improved redshift estimates, the distributions of absorbers at high redshift still showed broader patterns compared to those at lower redshifts. This suggests that even with refined methods, the absorption effect remains a complex challenge.

Future Directions

In the future, researchers plan to improve their methods by incorporating larger datasets and exploring more sophisticated techniques for redshift corrections. As we gather more quasar data from ongoing surveys, scientists hope to refine their understanding of quasar environments better and learn more about the role of absorption systems.

With the continued advancements in technology, we are bound to uncover more details about these fascinating cosmic objects and their surroundings. After all, the universe has stories to tell; we just need the right tools to listen.

Conclusion

Quasars and their associated absorption systems provide a wealth of information about the universe. However, studying them requires a careful approach to account for various factors, especially the effects of redshift. As researchers continue to explore the cosmos, they will gradually unveil the layers of complexity surrounding quasars—like peeling an onion, but hopefully with fewer tears!

In this cosmic landscape, understanding the dance between quasars and their absorption systems will allow us to piece together a more complete picture of the universe's history and evolution. And who knows? Maybe we’ll even learn to distinguish the noisy parties from the quieter gatherings!

Original Source

Title: DESI Mg II Absorbers: Extinction Characteristics & Quasar Redshift Accuracy

Abstract: In this paper, we study how absorption-line systems affect the spectra and redshifts of quasars (QSOs), using catalogs of Mg II absorbers from the early data release (EDR) and first data release (DR1) of the Dark Energy Spectroscopic Instrument (DESI). We determine the reddening effect of an absorption system by fitting an un-reddened template spectrum to a sample of 50,674 QSO spectra that contain Mg II absorbers. We find that reddening caused by intervening absorbers (voff > 3500 km/s) has an average color excess of E(B-V) = 0.04 magnitudes. We find that the E(B-V) tends to be greater for absorbers at low redshifts, or those having Mg II absorption lines with higher equivalent widths, but shows no clear trend with voff for intervening systems. However, the E(B-V) of associated absorbers, those at voff < 3500 km/s, shows a strong trend with voff , increasing rapidly with decreasing voff and peaking (approximately 0.15 magnitudes) around voff = 0 km/s. We demonstrate that Mg II absorbers impact redshift estimation for QSOs by investigating the distributions of voff for associated absorbers. We find that at z > 1.5 these distributions broaden and bifurcate in a nonphysical manner. In an effort to mitigate this effect, we mask pixels associated with the Mg II absorption lines and recalculate the QSO redshifts. We find that we can recover voff populations in better agreement with those for z < 1.5 absorbers and in doing so typically shift background QSO redshifts by delta_z approximately equal to plus or minus 0.005.

Authors: Lucas Napolitano, Adam D. Myers, Jessica Aguilar, Steven Ahlen, Davide Bianchi, David Brooks, Todd Claybaugh, Shaun Cole, Axel de la Macorra, Biprateep Dey, Andreu Font-Ribera, Jaime E. Forero-Romero, Enrique Gaztañaga, Satya Gontcho A Gontcho, Gaston Gutierrez, Klaus Honscheid, Stephanie Juneau, Andrew Lambert, Martin Landriau, Laurent Le Guillou, Aaron Meisner, Ramon Miquel, John Moustakas, Jeffrey A. Newman, Francisco Prada, Ignasi Pérez-Ràfols, Graziano Rossi, Eusebio Sanchez, David Schlegel, Michael Schubnell, David Sprayberry, Gregory Tarlé, Benjamin Alan Weaver, Hu Zou

Last Update: 2024-12-19 00:00:00

Language: English

Source URL: https://arxiv.org/abs/2412.15383

Source PDF: https://arxiv.org/pdf/2412.15383

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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