Search: quasars - ai.jp.net

Research Paper #Astrophysics, High-Energy Physics 🔬 ResearchAnalyzed: Jan 3, 2026 19:04

Multimessenger Emission from Microquasars Modeled

Published:Dec 29, 2025 06:19

•

1 min read

•

ArXiv

Analysis

This paper investigates the multimessenger emission from microquasars, focusing on high-energy gamma rays and neutrinos. It uses the AMES simulator to model the emission, considering different interaction scenarios and emission region configurations. The study's significance lies in its ability to explain observed TeV and PeV gamma-ray detections and provide testable predictions for future observations, particularly in the 0.1-10 TeV range. The paper also explores the variability and neutrino emission from these sources, offering insights into their complex behavior and detectability.

Key Takeaways

•Models explain observed TeV and PeV gamma-ray detections from microquasars.
•Predictions are made for the 0.1-10 TeV energy range, offering testable scenarios.
•Variability and neutrino emission are explored, providing insights into source behavior.

Reference

“The paper predicts unique, observationally testable predictions in the 0.1-10 TeV energy range, where current observations provide only upper limits.”

Permalink ArXiv

Research Paper #Astronomy, Quasars, Galactic Plane, Machine Learning 🔬 ResearchAnalyzed: Jan 3, 2026 19:17

Identifying Quasar Candidates Behind the Galactic Plane Using Chandra and Machine Learning

Published:Dec 28, 2025 20:04

•

1 min read

•

ArXiv

Analysis

This paper addresses the challenge of finding quasars obscured by the Galactic plane, a region where observations are difficult due to dust and source confusion. The authors leverage the Chandra X-ray data, combined with optical and infrared data, and employ a Random Forest classifier to identify quasar candidates. The use of machine learning and multi-wavelength data is a key strength, allowing for the identification of fainter quasars and improving the census of these objects. The paper's significance lies in its contribution to a more complete quasar sample, which is crucial for various astronomical studies, including refining astrometric reference frames and probing the Milky Way's interstellar medium.

Key Takeaways

•Employs Chandra X-ray data, Gaia, and CatWISE2020 data to find quasars behind the Galactic plane.
•Utilizes a Random Forest classifier and regression model for candidate selection and redshift estimation.
•Identifies a significant number of quasar candidates, including high-confidence Galactic Plane Quasar candidates.
•Provides a valuable target sample for future spectroscopic follow-up.
•Improves the census of Galactic Plane Quasars and enables studies of the Milky Way's interstellar and circumgalactic media.

Reference

“The study identifies 6286 quasar candidates, including 863 Galactic Plane Quasar (GPQ) candidates at |b|<20°, of which 514 are high-confidence candidates.”

Permalink ArXiv

Research Paper #Astrophysics 🔬 ResearchAnalyzed: Jan 4, 2026 00:19

VLBI Diagnostics for Off-axis Jets in Tidal Disruption Events

Published:Dec 25, 2025 13:26

•

1 min read

•

ArXiv

Analysis

This paper addresses the ambiguity in the origin of late-time radio flares in tidal disruption events (TDEs), specifically focusing on the AT2018hyz event. It proposes using Very Long Baseline Interferometry (VLBI) to differentiate between a delayed outflow and an off-axis relativistic jet. The paper's significance lies in its potential to provide a definitive observational signature (superluminal motion) to distinguish between these competing models, offering a crucial tool for understanding the physics of TDEs and potentially other jetted explosions.

Key Takeaways

•VLBI is proposed as a key method to differentiate between delayed outflow and off-axis jet models in TDE radio flares.
•Superluminal motion of the emission centroid is the key diagnostic for identifying an off-axis jet.
•The findings are expected to be applicable to other jetted explosions like microquasars and gamma-ray bursts.

Reference

“Detecting superluminal motion would provide a smoking-gun signature of the off-axis jet interpretation.”

Permalink ArXiv

Research #Quasars 🔬 ResearchAnalyzed: Jan 10, 2026 09:14

DESI Y1 Quasar Observations Shed Light on Quasar Proximity Zones

Published:Dec 20, 2025 09:06

•

1 min read

•

ArXiv

Analysis

This research focuses on analyzing quasar proximity zones using data from the DESI Y1 quasar survey and the Lyman-alpha forest. The study provides valuable insights into the environments surrounding quasars, contributing to our understanding of galaxy formation and the intergalactic medium.

Key Takeaways

•The research utilizes data from the DESI Y1 quasar survey.
•The study employs the Lyman-alpha forest technique.
•The findings contribute to the understanding of quasar environments.

Reference

“Measurements of quasar proximity zones with the Lyman-$α$ forest of DESI Y1 quasars.”

Permalink ArXiv

Research #Cosmology 🔬 ResearchAnalyzed: Jan 10, 2026 09:25

Cosmic Constraints: New Limits on Primordial Non-Gaussianity from DESI and Planck

Published:Dec 19, 2025 18:14

•

1 min read

•

ArXiv

Analysis

This research combines data from the Dark Energy Spectroscopic Instrument (DESI) and the Planck satellite to investigate primordial non-Gaussianity, offering a robust test of inflationary cosmology. The study's findings contribute to a deeper understanding of the early universe and its evolution.

Key Takeaways

•Combines DESI quasar data and Planck CMB lensing to constrain primordial non-Gaussianity.
•Provides tighter constraints on the deviation from Gaussianity in the early universe.
•Offers a valuable contribution to understanding the physics of inflation.

Reference

“The study uses data from DESI DR1 quasars and Planck PR4 CMB lensing.”

Permalink ArXiv

Research #llm 🔬 ResearchAnalyzed: Jan 4, 2026 09:20

LSTM-MDNz: Estimating Quasar Photometric Redshifts with an LSTM-Augmented Mixture Density Network

Published:Dec 17, 2025 22:39

•

1 min read

•

ArXiv

Analysis

This article presents a research paper on using a specific type of neural network (LSTM-MDNz) to estimate the redshift of quasars. The approach combines Long Short-Term Memory (LSTM) networks with Mixture Density Networks. The focus is on photometric redshifts, which are estimated from the brightness of objects at different wavelengths. The paper likely details the architecture, training, and performance of the LSTM-MDNz model, comparing it to other methods.

Key Takeaways

•The research focuses on estimating quasar redshifts.
•The method uses a combination of LSTM and Mixture Density Networks (LSTM-MDNz).
•The approach utilizes photometric redshifts.
•The paper likely presents the model's architecture, training, and performance.

Reference

“The paper likely details the architecture, training, and performance of the LSTM-MDNz model, comparing it to other methods.”

Permalink ArXiv

Research #Cosmology 🔬 ResearchAnalyzed: Jan 10, 2026 10:27

Cosmic Clustering: New Insights into Fundamental Physics from Quasars and Galaxies

Published:Dec 17, 2025 10:45

•

1 min read

•

ArXiv

Analysis

The provided context suggests a focus on cosmological research leveraging data from quasars and galaxy clustering. The article's potential value lies in advancing our understanding of fundamental physics at a large scale, beyond traditional research.

Key Takeaways

•Focuses on quasar and galaxy clustering as a research area.
•Potentially reveals new information about fundamental physics.
•Targets research in the 2040s horizon

Reference

“The article's subject focuses on understanding the distribution of quasars and galaxies.”

Permalink ArXiv

Research #llm 🔬 ResearchAnalyzed: Jan 4, 2026 09:52

The Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST) Quasar Survey: Quasar Properties from Data Release 10 to 12

Published:Dec 2, 2025 14:44

•

1 min read

•

ArXiv

Analysis

This article likely presents a scientific study analyzing quasar properties using data from the LAMOST telescope's quasar survey. The focus is on the data released between versions 10 and 12. The research likely involves detailed spectroscopic analysis to understand the characteristics of quasars.

Key Takeaways

Reference

“”

Permalink ArXiv

Multimessenger Emission from Microquasars Modeled

Analysis

Key Takeaways

Identifying Quasar Candidates Behind the Galactic Plane Using Chandra and Machine Learning

Analysis

Key Takeaways

VLBI Diagnostics for Off-axis Jets in Tidal Disruption Events

Analysis

Key Takeaways

DESI Y1 Quasar Observations Shed Light on Quasar Proximity Zones

Analysis

Key Takeaways

Cosmic Constraints: New Limits on Primordial Non-Gaussianity from DESI and Planck

Analysis

Key Takeaways

LSTM-MDNz: Estimating Quasar Photometric Redshifts with an LSTM-Augmented Mixture Density Network

Analysis

Key Takeaways

Cosmic Clustering: New Insights into Fundamental Physics from Quasars and Galaxies

Analysis

Key Takeaways

The Large Sky Area Multi-object Fiber Spectroscopic Telescope (LAMOST) Quasar Survey: Quasar Properties from Data Release 10 to 12

Analysis

Key Takeaways

📬 Get AI News Delivered

Browse by Category

Trending Topics

📬 Get AI News Delivered

Browse by Category

Trending Topics