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We present ELDAR, a new method that exploits the potential of medium- and narrow-band filter surveys to securely identify active galactic nuclei (AGN) and determine their redshifts. Our methodology improves on traditional approaches by…

We present tests of a new method to simultaneously estimate stellar population and emission line (EL) properties of galaxies out of S-PLUS photometry. The technique uses the AlStar code, updated with an empirical prior which greatly…

Recent observations of galaxies at $z \gtrsim 7$, along with the low value of the electron scattering optical depth measured by the Planck mission, make galaxies plausible as dominant sources of ionizing photons during the epoch of…

The time lag between optical and near-infrared continuum emission in active galactic nuclei (AGN) shows a tight correlation with luminosity and has been proposed as a standardisable candle for cosmology. In this paper, we explore the use of…

Cosmology and Nongalactic Astrophysics · Physics 2016-10-12 S. F. Hönig , D. Watson , M. Kishimoto , P. Gandhi , M. Goad , K. Horne , F. Shankar , M. Banerji , B. Boulderstone , M. Jarvis , M. Smith , M. Sullivan

We report detections of the [OIII]$\lambda$4364 auroral emission line for 16 galaxies at z=2.1-8.7, measured from JWST/NIRSpec observations obtained as part of the Cosmic Evolution Early Release Science (CEERS) survey program. We combine…

Astrophysics of Galaxies · Physics 2026-05-20 Ryan L. Sanders , Alice E. Shapley , Michael W. Topping , Naveen A. Reddy , Gabriel B. Brammer

The Planck mission provided all-sky dust emission maps in the submm to mm range at an angular resolution of 5'. In addition, some specific sources can be observed at long wavelengths and higher resolution using ground-based telescopes.…

Astrophysics of Galaxies · Physics 2024-10-15 D. Paradis , C. Mény , A. Noriega-Crespo , K. Demyk , I. Ristorcelli , N. Ysard

Electromagnetic Navigation Systems (eMNS) can be used to control a variety of multiscale devices within the human body for remote surgery. Accurate modeling of the magnetic fields generated by the electromagnets of an eMNS is crucial for…

Systems and Control · Electrical Eng. & Systems 2025-12-01 Ruoxi Yu , Samuel L. Charreyron , Quentin Boehler , Cameron Weibel , Carmen C. Y. Poon , Bradley J. Nelson

Particulate matter pollution is one of the deadliest types of air pollution worldwide due to its significant impacts on the global environment and human health. Particulate Matter (PM2.5) is one of the important particulate pollutants to…

Signal Processing · Electrical Eng. & Systems 2020-02-27 Jalpa Shah , Biswajit Mishra

We have carried out extensive and detailed photoionization modeling to successfully constrain the locations of different emission-line galaxies in optical and mid-infrared diagnostic diagrams. Our model grids cover a wide range in parameter…

Astrophysics of Galaxies · Physics 2015-06-22 M. Meléndez , T. M. Heckman , M. Martínez-Paredes , S. B. Kraemer , C. Mendoza

Exoplanetary atmospheric observations require an exquisite precision in the measurement of the relative flux among wavelengths. In this paper, we aim to provide a new adaptive method to treat light curves before fitting transit parameters…

Instrumentation and Methods for Astrophysics · Physics 2017-06-28 Ali Dehghan Firoozabadi , Alejandro Diaz , Patricio Rojo , Ismael Soto , Rodrigo Mahu , Nestor Becerra Yoma , Elyar Sedaghati

Artificial Neural Networks (ANNs) are becoming important tools in physics research and education because they help in data analysis and complement traditional analytical methods. In this work, ANN modeling is introduced in a standard…

Physics Education · Physics 2026-05-15 Saralasrita Mohanty , Prabhu Prasad Tripathy , Raja Das , Sudakshina Prusty

Errors in the representation of clouds in convection-permitting numerical weather prediction models can be introduced by different sources. These can be the forcing and boundary conditions, the representation of orography, the accuracy of…

Atmospheric and Oceanic Physics · Physics 2022-03-14 Stefanie Legler , Tijana Janjic

The information recoverable from galaxy spectra depends fundamentally on spectral resolution, yet assembling large samples at high resolution remains observationally expensive. We present a deep-learning framework for spectral…

The study of the cosmic Dark Ages, Cosmic Dawn, and Epoch of Reionization (EoR) using the all-sky averaged redshifted HI 21cm signal, are some of the key science goals of most of the ongoing or upcoming experiments, for example, EDGES,…

Cosmology and Nongalactic Astrophysics · Physics 2019-12-24 Madhurima Choudhury , Abhirup Datta , Arnab Chakraborty

The estimation of spectroscopic and photometric redshifts (spec-z and photo-z) is crucial for future cosmological surveys. It can directly affect several powerful measurements of the Universe, e.g. weak lensing and galaxy clustering. In…

Cosmology and Nongalactic Astrophysics · Physics 2021-03-05 Xingchen Zhou , Yan Gong , Xian-Min Meng , Xin Zhang , Ye Cao , Xuelei Chen , Valeria Amaro , Zuhui Fan , Liping Fu

The energy and mass measurements of jets are crucial tasks for the Large Hadron Collider experiments. This paper presents a new calibration method to simultaneously calibrate these quantities for large-radius jets measured with the ATLAS…

High Energy Physics - Experiment · Physics 2024-09-06 ATLAS Collaboration

A handful of well-studied Weak-Line Radio Galaxies (WLRGs) have been traditionally classified as Low Ionization Nuclear Emission-line Regions (LINERs), suggesting that these two groups of AGNs might be related. In this paper, we present new…

Astrophysics · Physics 2009-11-07 Karen T. Lewis , Michael Eracleous , Rita M. Sambruna

Our aim is to explore the nature of emission line galaxies by combining high-resolution observations obtained in different bands to understand which objects are powered by an Active Galactic Nucleus(AGN). From the spectroscopic Palomar…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-12 B. Balmaverde , A. Capetti

In this paper, we introduce a novel artificial neural network (ANN) based scheme to estimate the thickness of thin films deposited on a given substrate. Here we consider the visible interference pattern between a plane wave and a diverging…

Machine Learning · Computer Science 2022-10-21 Archana Bora