Tootfinder

AGNBoost: A Machine Learning Approach to AGN Identification with JWST/NIRCam MIRI Colors and Photometry
Kurt Hamblin, Allison Kirkpatrick, Bren E. Backhaus, Gregory Troiani, Fabio Pacucci, Jonathan R. Trump, Alexander de la Vega, L. Y. Aaron Yung, Jeyhan S. Kartaltepe, Dale D. Kocevski, Anton M. Koekemoer, Erini Lambrides, Casey Papovich, Kaila Ronayne, Guang Yang, Pablo Arrabal Haro, Micaela B. Bagley, Mark Dickinson, Steven L. Finkelstein, Nor Pirzkal

AGNBoost: A Machine Learning Approach to AGN Identification with JWST/NIRCam+MIRI Colors and Photometry
We present AGNBoost, a machine learning framework utilizing XGBoostLSS to identify AGN and estimate redshifts from JWST NIRCam and MIRI photometry. AGNBoost constructs 121 input features from 7 NIRCam and 4 MIRI bands-including magnitudes, colors, and squared color terms-to simultaneously predict the fraction of mid-IR $3-30\,μ$m emission attributable to an AGN power law (frac$_\text{AGN}$) and photometric redshift. Each model is trained on a sample of $10^6$ simulated galaxies from CIGALE pro…

On Thursday evening, the night of Juneteenth, Donald Trump took to Truth Social with a classic “old man yells at cloud” complaint:
Americans get too much time off work.
“Too many non-working holidays in America. It is costing our Country $BILLIONS OF DOLLARS to keep all of these businesses closed,” he wrote.
“It must change if we are going to, MAKE AMERICA GREAT AGAIN!”
For good measure, he also opined that workers themselves agreed with him on this.
The presi…

Trump’s Truth Social rant on Juneteenth is part of a nasty history
On Juneteenth, Donald Trump took to Truth Social with a classic “old man yells at cloud” complaint: Americans get too much time off work.

On the rapid growth of SMBHs in high-z galaxies: the aftermath of Population III.1 stars
Mahsa Sanati, Julien Devriendt, SergioMartin-Alvarez, Adrianne Slyz, Jonathan C. Tan
https://arxiv.org/abs/2507.02058

On the rapid growth of SMBHs in high-z galaxies: the aftermath of Population III.1 stars
The vast amount of energy released by active galactic nuclei (AGN) is increasingly recognized as a key driver of evolution not only in massive galaxies and clusters, but also in low-mass dwarf galaxies. Despite this, their role in the early stages of galaxy formation and in self-regulating the rapid growth of the first and abundant supermassive black holes (SMBHs) remains poorly understood. Through new high-resolution zoom-in cosmological simulations, we follow the co-evolution of $10^5 M_\odot…

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https://bsky.app/profile/strandjunker.com/post/3lrxlzhqyak2b

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https://bsky.app/profile/strandjunker.com/post/3lrxlzhqyak2b

Investigating silicate, carbon, and water in the diffuse interstellar medium: the first shots from WISCI
S. T. Zeegers, Jonathan P. Marshall, Karl D. Gordon, Karl A. Misselt, G. P. P. L. Otten, Jeroen Bouwman, Jean Chiar, Marjorie Decleir, Thavisha Dharmawardena, F. Kemper, Aigen Li, Mayank Narang, Alexey Potapov, Manoj Puravankara, Peter Scicluna, Himanshu Tyagi, Eleonora Zari, ChuanYu Wei, Lex Kaper, Frank Backs, Stefan T. Bromley, Laurie Chu, Elisa Costantini, T. R. Geballe, Joel D.…

Investigating silicate, carbon, and water in the diffuse interstellar medium: the first shots from WISCI
The dusty interstellar medium (ISM) of the Milky Way is distributed in a complex, cloudy structure. It is fundamental to the radiation balance within the Milky Way, provides a reaction surface to form complex molecules, and is the feedstock for future generations of stars and planets. The life cycle of interstellar dust is not completely understood, and neither are its structure nor composition. The abundance, composition, and structure of dust in the diffuse ISM can be determined by combining …