An Ultra-Faint, Chemically Primitive Galaxy Forming in the Reionization Era

Using James Webb Space Telescope spectroscopy, researchers identified LAP1-B, an ultra-faint, chemically primitive galaxy at redshift 6.625 with the lowest known metallicity and a dominant dark matter halo, providing direct evidence of an early-stage galaxy progenitor that serves as a high-redshift analog to local ancient dwarf galaxies.

Kimihiko Nakajima, Masami Ouchi, Yuichi Harikane, Eros Vanzella, Yoshiaki Ono, Yuki Isobe, Moka Nishigaki, Takuji Tsujimoto, Fumitaka Nakamura, Yi Xu, Hiroya Umeda, Yechi ZhangThu, 12 Ma🔭 astro-ph

Application of a modified commercial laser mass spectrometer as a science analog of the Mars Organic Molecule Analyzer (MOMA)

This study presents a modified commercial laser mass spectrometer that serves as a validated, high-fidelity analog for the Mars Organic Molecule Analyzer (MOMA), enabling rapid testing, structural identification of organics in mineral matrices, and the generation of pre-flight reference data to support the upcoming Rosalind Franklin rover mission.

Zachary K. Garvin (Georgetown University, Washington, D.C., USA), Anaïs Roussel (Georgetown University, Washington, D.C., USA), Luoth Chou (NASA Goddard Space Flight Center, Greenbelt, MD, USA), Marco E. Castillo (NASA Goddard Space Flight Center, Greenbelt, MD, USA, Aerodyne Industries, Cape Canaveral, FL, USA), Xiang Li (NASA Goddard Space Flight Center, Greenbelt, MD, USA), William B. Brinckerhoff (NASA Goddard Space Flight Center, Greenbelt, MD, USA), Sarah Stewart Johnson (Georgetown University, Washington, D.C., USA)Thu, 12 Ma🔭 astro-ph

Identifying Anomalous DESI Galaxy Spectra with a Variational Autoencoder

This paper demonstrates that Variational Autoencoders can effectively compress and analyze approximately 200,000 DESI galaxy spectra to identify both instrumental artifacts and unique astrophysical objects, while also revealing interpretable latent structures that separate object classes and track physical characteristics like star formation and emission lines.

C. Nicolaou, R. P. Nathan, O. Lahav, A. Palmese, A. Saintonge, J. Aguilar, S. Ahlen, C. Allende Prieto, S. Bailey, S. BenZvi, D. Bianchi, A. Brodzeller, D. Brooks, T. Claybaugh, A. de la Macorra, J. Della Costa, Arjun Dey, P. Doel, J. E. Forero-Romero, E. Gaztañaga, S. Gontcho A Gontcho, G. Gutierrez, K. Honscheid, C. Howlett, M. Ishak, R. Kehoe, D. Kirkby, T. Kisner, A. Kremin, A. Lambert, M. Landriau, L. Le Guillou, A. Meisner, R. Miquel, J. Moustakas, S. Nadathur, F. Prada, I. Pérez-Ràfols, G. Rossi, E. Sanchez, M. Schubnell, M. Siudek, D. Sprayberry, G. Tarlé, B. A. Weaver, H. ZouThu, 12 Ma🔭 astro-ph

The BoRG-JWSTJWST Survey: Analogs at z8z\sim8 to the UV-luminous Galaxy Population at z10z\gtrsim10

The BoRG-JWSTJWST survey reveals that z8z\sim8 analogs of the UV-luminous "blue monster" galaxies at z10z\gtrsim10 are dust-poor systems experiencing stochastic star formation bursts, suggesting that the extreme brightness of the higher-redshift population is driven by very young stellar populations under 100 Myr old rather than dominant active galactic nuclei.

Sofía Rojas-Ruiz, Guido Roberts-Borsani, Takahiro Morishita, Antonello Calabrò, Micaela B. Bagley, Tommaso Treu, Steven L. Finkelstein, Massimo Stiavelli, Michele Trenti, L. Y. Aaron YungThu, 12 Ma🔭 astro-ph

Before its time: a remarkably evolved protocluster core at z=7.88

Using JWST observations, researchers identified a remarkably evolved protocluster core at z=7.88z=7.88 containing 23 galaxies with a total stellar mass exceeding $10^{10}\ \rm{M_{\odot}}$, where massive, dusty galaxies in the core are undergoing a synchronized quenching phase distinct from the bursty star formation in the outskirts, marking the most extreme overdensity observed at this early epoch.

Callum Witten, Pascal A. Oesch, William McClymont, Romain A. Meyer, Yoshinobu Fudamoto, Debora Sijacki, Nicolas Laporte, Jake S. Bennett, Charlotte Simmonds, Emma Giovinazzo, A. Lola Danhaive, Laure Ciesla, Cristian Carvajal-Bohorquez, Maxime TrebitschThu, 12 Ma🔭 astro-ph

Modeling of AR 12760 with GX Simulator and Evidence for the Extended Transition Region in Peripheral Active Region Loops

By modeling Active Region 12760 with the GX Simulator, the authors demonstrate that while a specific power-law heating model fits EUV intensities, the underestimation of emission in cooler bands reveals that the upper transition region of peripheral loops extends significantly beyond the foot points, necessitating its inclusion in future solar heating models.

Therese A. Kucera, Gelu M. Nita, James A. Klimchuk, Gregory D. FleishmanThu, 12 Ma🔭 astro-ph

The Non Parametric Reconstruction of Binary Black Hole Mass Evolution from GWTC-4.0 Gravitational Wave Catalog

This paper presents a non-parametric Bayesian framework applied to GWTC-3 and GWTC-4 data that reveals tentative evidence for a linear redshift-dependent evolution in the mass distribution of high-mass binary black holes (m50Mm \gtrsim 50\,M_\odot), while finding no significant evolution for lower-mass systems and no quadratic dependence up to redshift z1z \sim 1.

Samsuzzaman Afroz, Suvodip MukherjeeThu, 12 Ma🔭 astro-ph

Measuring the Temperature of Extremely Hot Shock-Heated Gas in the Major Merger MACS J0717.5+3745 With Relativistic Corrections to the Sunyaev-Zel'dovich Effect

This paper demonstrates that multiband measurements of relativistic corrections to the Sunyaev-Zel'dovich effect can successfully detect and constrain the thermodynamics of superheated gas in the major merger MACS J0717.5+3745, yielding temperature estimates consistent with X-ray observations.

Benjamin J. Vaughan, Jack Sayers, Locke Spencer, Nicholas Swidinksi, Ryan Wills, Michael Zemcov, Derek Arthur, Victoria Butler, Richard M. Feder, Daniel Klyde, Lorenzo Lovisari, Adam Mantz, Emily M. SilichThu, 12 Ma🔭 astro-ph

The GAPS programme at TNG LXXI. A sub-Neptune suitable for atmospheric characterization in a multiplanet and mutually inclined system orbiting the bright K dwarf TOI-5789 (HIP 99452)

This study characterizes the bright K-dwarf system TOI-5789, revealing a mutually inclined architecture with four planets including a promising sub-Neptune (TOI-5789 c) ideal for atmospheric studies, while ruling out an outer giant planet as the cause of the system's dynamical tilt.

A. S. Bonomo, L. Naponiello, A. Sozzetti, S. Benatti, I. Carleo, K. Biazzo, P. E. Cubillos, M. Damasso, C. Di Maio, C. Dorn, N. Hara, D. Polychroni, M. -L. Steinmeyer, K. A. Collins, S. Desidera, X. Dumusque, A. F. Lanza, B. S. Safonov, C. Stockdale, D. Turrini, C. Ziegler, L. Affer, M. D'Arpa, V. Fardella, A. Harutyunyan, V. Lorenzi, L. Malavolta, L. Mancini, G. Mantovan, G. Micela, F. Murgas, D. Nardiello, I. Pagano, E. Pallé, M. Pedani, M. Pinamonti, M. Rainer, G. Scandariato, R. Spinelli, T. ZingalesThu, 12 Ma🔭 astro-ph

First detection of ultra-high energy emission from gamma-ray binary LS I +61 303

Using data from the Large High Altitude Air Shower Observatory (LHAASO), researchers report the first detection of ultra-high-energy gamma-ray emission (exceeding 100 TeV) from the binary system LS I +61 303, providing compelling evidence for extreme particle acceleration and orbital modulation that suggests a composite leptonic and hadronic emission scenario.

Zhen Cao (The LHAASO Collaboration), F. Aharonian (The LHAASO Collaboration), Y. X. Bai (The LHAASO Collaboration), Y. W. Bao (The LHAASO Collaboration), D. Bastieri (The LHAASO Collaboration), X. J. Bi (The LHAASO Collaboration), Y. J. Bi (The LHAASO Collaboration), W. Bian (The LHAASO Collaboration), J. Blunier (The LHAASO Collaboration), A. V. Bukevich (The LHAASO Collaboration), C. M. Cai (The LHAASO Collaboration), Y. Y. Cai (The LHAASO Collaboration), W. Y. Cao (The LHAASO Collaboration), Zhe Cao (The LHAASO Collaboration), J. Chang (The LHAASO Collaboration), J. F. Chang (The LHAASO Collaboration), E. S. Chen (The LHAASO Collaboration), G. H. Chen (The LHAASO Collaboration), H. K. Chen (The LHAASO Collaboration), L. F. Chen (The LHAASO Collaboration), Liang Chen (The LHAASO Collaboration), Long Chen (The LHAASO Collaboration), M. J. Chen (The LHAASO Collaboration), M. L. Chen (The LHAASO Collaboration), Q. H. Chen (The LHAASO Collaboration), S. Chen (The LHAASO Collaboration), S. H. Chen (The LHAASO Collaboration), S. Z. Chen (The LHAASO Collaboration), T. L. Chen (The LHAASO Collaboration), X. B. Chen (The LHAASO Collaboration), X. J. Chen (The LHAASO Collaboration), X. P. Chen (The LHAASO Collaboration), Y. Chen (The LHAASO Collaboration), N. Cheng (The LHAASO Collaboration), Q. Y. Cheng (The LHAASO Collaboration), Y. D. Cheng (The LHAASO Collaboration), M. Y. Cui (The LHAASO Collaboration), S. W. Cui (The LHAASO Collaboration), X. H. Cui (The LHAASO Collaboration), Y. D. Cui (The LHAASO Collaboration), B. Z. Dai (The LHAASO Collaboration), H. L. Dai (The LHAASO Collaboration), Z. G. Dai (The LHAASO Collaboration), Danzengluobu (The LHAASO Collaboration), Y. X. Diao (The LHAASO Collaboration), A. J. Dong (The LHAASO Collaboration), X. Q. Dong (The LHAASO Collaboration), K. K. Duan (The LHAASO Collaboration), J. H. Fan (The LHAASO Collaboration), Y. Z. Fan (The LHAASO Collaboration), J. Fang (The LHAASO Collaboration), J. H. Fang (The LHAASO Collaboration), K. Fang (The LHAASO Collaboration), C. F. Feng (The LHAASO Collaboration), H. Feng (The LHAASO Collaboration), L. Feng (The LHAASO Collaboration), S. H. Feng (The LHAASO Collaboration), X. T. Feng (The LHAASO Collaboration), Y. Feng (The LHAASO Collaboration), Y. L. Feng (The LHAASO Collaboration), S. Gabici (The LHAASO Collaboration), B. Gao (The LHAASO Collaboration), Q. Gao (The LHAASO Collaboration), W. Gao (The LHAASO Collaboration), W. K. Gao (The LHAASO Collaboration), M. M. Ge (The LHAASO Collaboration), T. T. Ge (The LHAASO Collaboration), L. S. Geng (The LHAASO Collaboration), G. Giacinti (The LHAASO Collaboration), G. H. Gong (The LHAASO Collaboration), Q. B. Gou (The LHAASO Collaboration), M. H. Gu (The LHAASO Collaboration), F. L. Guo (The LHAASO Collaboration), J. Guo (The LHAASO Collaboration), K. J. Guo (The LHAASO Collaboration), X. L. Guo (The LHAASO Collaboration), Y. Q. Guo (The LHAASO Collaboration), Y. Y. Guo (The LHAASO Collaboration), R. P. Han (The LHAASO Collaboration), O. A. Hannuksela (The LHAASO Collaboration), M. Hasan (The LHAASO Collaboration), H. H. He (The LHAASO Collaboration), H. N. He (The LHAASO Collaboration), J. Y. He (The LHAASO Collaboration), X. Y. He (The LHAASO Collaboration), Y. He (The LHAASO Collaboration), S. Hernández-Cadena (The LHAASO Collaboration), B. W. Hou (The LHAASO Collaboration), C. Hou (The LHAASO Collaboration), X. Hou (The LHAASO Collaboration), H. B. Hu (The LHAASO Collaboration), S. C. Hu (The LHAASO Collaboration), C. Huang (The LHAASO Collaboration), D. H. Huang (The LHAASO Collaboration), J. J. Huang (The LHAASO Collaboration), X. L. Huang (The LHAASO Collaboration), X. T. Huang (The LHAASO Collaboration), X. Y. Huang (The LHAASO Collaboration), Y. Huang (The LHAASO Collaboration), Y. Y. Huang (The LHAASO Collaboration), A. Inventar (The LHAASO Collaboration), X. L. Ji (The LHAASO Collaboration), H. Y. Jia (The LHAASO Collaboration), K. Jia (The LHAASO Collaboration), H. B. Jiang (The LHAASO Collaboration), K. Jiang (The LHAASO Collaboration), X. W. Jiang (The LHAASO Collaboration), Z. J. Jiang (The LHAASO Collaboration), M. Jin (The LHAASO Collaboration), S. Kaci (The LHAASO Collaboration), M. M. Kang (The LHAASO Collaboration), I. Karpikov (The LHAASO Collaboration), D. Khangulyan (The LHAASO Collaboration), D. Kuleshov (The LHAASO Collaboration), K. Kurinov (The LHAASO Collaboration), Cheng Li (The LHAASO Collaboration), Cong Li (The LHAASO Collaboration), D. Li (The LHAASO Collaboration), F. Li (The LHAASO Collaboration), H. B. Li (The LHAASO Collaboration), H. C. Li (The LHAASO Collaboration), Jian Li (The LHAASO Collaboration), Jie Li (The LHAASO Collaboration), K. Li (The LHAASO Collaboration), L. Li (The LHAASO Collaboration), R. L. Li (The LHAASO Collaboration), S. D. Li (The LHAASO Collaboration), T. Y. Li (The LHAASO Collaboration), W. L. Li (The LHAASO Collaboration), X. R. Li (The LHAASO Collaboration), Y. Li (The LHAASO Collaboration), Zhe Li (The LHAASO Collaboration), Zhuo Li (The LHAASO Collaboration), E. W. Liang (The LHAASO Collaboration), Y. F. Liang (The LHAASO Collaboration), S. J. Lin (The LHAASO Collaboration), B. Liu (The LHAASO Collaboration), C. Liu (The LHAASO Collaboration), D. Liu (The LHAASO Collaboration), D. B. Liu (The LHAASO Collaboration), H. Liu (The LHAASO Collaboration), J. Liu (The LHAASO Collaboration), J. L. Liu (The LHAASO Collaboration), J. R. Liu (The LHAASO Collaboration), M. Y. Liu (The LHAASO Collaboration), R. Y. Liu (The LHAASO Collaboration), S. M. Liu (The LHAASO Collaboration), W. Liu (The LHAASO Collaboration), X. Liu (The LHAASO Collaboration), Y. Liu (The LHAASO Collaboration), Y. Liu (The LHAASO Collaboration), Y. N. Liu (The LHAASO Collaboration), Y. Q. Lou (The LHAASO Collaboration), Q. Luo (The LHAASO Collaboration), Y. Luo (The LHAASO Collaboration), H. K. Lv (The LHAASO Collaboration), B. Q. Ma (The LHAASO Collaboration), L. L. Ma (The LHAASO Collaboration), X. H. Ma (The LHAASO Collaboration), I. O. Maliy (The LHAASO Collaboration), J. R. Mao (The LHAASO Collaboration), Z. Min (The LHAASO Collaboration), W. Mitthumsiri (The LHAASO Collaboration), Y. Mizuno (The LHAASO Collaboration), G. B. Mou (The LHAASO Collaboration), A. Neronov (The LHAASO Collaboration), K. C. Y. Ng (The LHAASO Collaboration), M. Y. Ni (The LHAASO Collaboration), L. Nie (The LHAASO Collaboration), L. J. Ou (The LHAASO Collaboration), Z. W. Ou (The LHAASO Collaboration), P. Pattarakijwanich (The LHAASO Collaboration), Z. Y. Pei (The LHAASO Collaboration), D. Y. Peng (The LHAASO Collaboration), J. C. Qi (The LHAASO Collaboration), M. Y. Qi (The LHAASO Collaboration), J. J. Qin (The LHAASO Collaboration), D. Qu (The LHAASO Collaboration), A. Raza (The LHAASO Collaboration), C. Y. Ren (The LHAASO Collaboration), D. Ruffolo (The LHAASO Collaboration), A. Sáiz (The LHAASO Collaboration), D. Savchenko (The LHAASO Collaboration), D. Semikoz (The LHAASO Collaboration), L. Shao (The LHAASO Collaboration), O. Shchegolev (The LHAASO Collaboration), Y. Z. Shen (The LHAASO Collaboration), X. D. Sheng (The LHAASO Collaboration), Z. D. Shi (The LHAASO Collaboration), F. W. Shu (The LHAASO Collaboration), H. C. Song (The LHAASO Collaboration), Yu. V. Stenkin (The LHAASO Collaboration), Y. Su (The LHAASO Collaboration), D. X. Sun (The LHAASO Collaboration), H. Sun (The LHAASO Collaboration), J. X. Sun (The LHAASO Collaboration), Q. N. Sun (The LHAASO Collaboration), X. N. Sun (The LHAASO Collaboration), Z. B. Sun (The LHAASO Collaboration), N. H. Tabasam (The LHAASO Collaboration), J. Takata (The LHAASO Collaboration), P. H. T. Tam (The LHAASO Collaboration), H. B. Tan (The LHAASO Collaboration), Q. W. Tang (The LHAASO Collaboration), R. Tang (The LHAASO Collaboration), Z. B. Tang (The LHAASO Collaboration), W. W. Tian (The LHAASO Collaboration), C. N. Tong (The LHAASO Collaboration), L. H. Wan (The LHAASO Collaboration), C. Wang (The LHAASO Collaboration), D. H. Wang (The LHAASO Collaboration), G. W. Wang (The LHAASO Collaboration), H. G. Wang (The LHAASO Collaboration), J. C. Wang (The LHAASO Collaboration), K. Wang (The LHAASO Collaboration), Kai Wang (The LHAASO Collaboration), Kai Wang (The LHAASO Collaboration), L. P. Wang (The LHAASO Collaboration), L. Y. Wang (The LHAASO Collaboration), L. Y. Wang (The LHAASO Collaboration), R. Wang (The LHAASO Collaboration), W. Wang (The LHAASO Collaboration), X. G. Wang (The LHAASO Collaboration), X. J. Wang (The LHAASO Collaboration), X. Y. Wang (The LHAASO Collaboration), Y. Wang (The LHAASO Collaboration), Y. D. Wang (The LHAASO Collaboration), Z. H. Wang (The LHAASO Collaboration), Z. X. Wang (The LHAASO Collaboration), Zheng Wang (The LHAASO Collaboration), D. M. Wei (The LHAASO Collaboration), J. J. Wei (The LHAASO Collaboration), Y. J. Wei (The LHAASO Collaboration), T. Wen (The LHAASO Collaboration), S. S. Weng (The LHAASO Collaboration), C. Y. Wu (The LHAASO Collaboration), H. R. Wu (The LHAASO Collaboration), Q. W. Wu (The LHAASO Collaboration), S. Wu (The LHAASO Collaboration), X. F. Wu (The LHAASO Collaboration), Y. S. Wu (The LHAASO Collaboration), S. Q. Xi (The LHAASO Collaboration), J. Xia (The LHAASO Collaboration), J. J. Xia (The LHAASO Collaboration), G. M. Xiang (The LHAASO Collaboration), D. X. Xiao (The LHAASO Collaboration), G. Xiao (The LHAASO Collaboration), Y. F. Xiao (The LHAASO Collaboration), Y. L. Xin (The LHAASO Collaboration), H. D. Xing (The LHAASO Collaboration), Y. Xing (The LHAASO Collaboration), D. R. Xiong (The LHAASO Collaboration), B. N. Xu (The LHAASO Collaboration), C. Y. Xu (The LHAASO Collaboration), D. L. Xu (The LHAASO Collaboration), R. F. Xu (The LHAASO Collaboration), R. X. Xu (The LHAASO Collaboration), S. S. Xu (The LHAASO Collaboration), W. L. Xu (The LHAASO Collaboration), L. Xue (The LHAASO Collaboration), D. H. Yan (The LHAASO Collaboration), T. Yan (The LHAASO Collaboration), C. W. Yang (The LHAASO Collaboration), C. Y. Yang (The LHAASO Collaboration), F. F. Yang (The LHAASO Collaboration), L. L. Yang (The LHAASO Collaboration), M. J. Yang (The LHAASO Collaboration), R. Z. Yang (The LHAASO Collaboration), W. X. Yang (The LHAASO Collaboration), Z. H. Yang (The LHAASO Collaboration), Z. G. Yao (The LHAASO Collaboration), X. A. Ye (The LHAASO Collaboration), L. Q. Yin (The LHAASO Collaboration), N. Yin (The LHAASO Collaboration), X. H. You (The LHAASO Collaboration), Z. Y. You (The LHAASO Collaboration), Q. Yuan (The LHAASO Collaboration), H. Yue (The LHAASO Collaboration), H. D. Zeng (The LHAASO Collaboration), T. X. Zeng (The LHAASO Collaboration), W. Zeng (The LHAASO Collaboration), X. T. Zeng (The LHAASO Collaboration), M. Zha (The LHAASO Collaboration), B. B. Zhang (The LHAASO Collaboration), B. T. Zhang (The LHAASO Collaboration), C. Zhang (The LHAASO Collaboration), H. Zhang (The LHAASO Collaboration), H. M. Zhang (The LHAASO Collaboration), H. Y. Zhang (The LHAASO Collaboration), J. L. Zhang (The LHAASO Collaboration), J. Y. Zhang (The LHAASO Collaboration), Li Zhang (The LHAASO Collaboration), P. F. Zhang (The LHAASO Collaboration), R. Zhang (The LHAASO Collaboration), S. R. Zhang (The LHAASO Collaboration), S. S. Zhang (The LHAASO Collaboration), S. Y. Zhang (The LHAASO Collaboration), W. Zhang (The LHAASO Collaboration), W. Y. Zhang (The LHAASO Collaboration), X. Zhang (The LHAASO Collaboration), X. P. Zhang (The LHAASO Collaboration), Yi Zhang (The LHAASO Collaboration), Yong Zhang (The LHAASO Collaboration), Z. P. Zhang (The LHAASO Collaboration), J. Zhao (The LHAASO Collaboration), L. Zhao (The LHAASO Collaboration), L. Z. Zhao (The LHAASO Collaboration), S. P. Zhao (The LHAASO Collaboration), X. H. Zhao (The LHAASO Collaboration), Z. H. Zhao (The LHAASO Collaboration), F. Zheng (The LHAASO Collaboration), T. C. Zheng (The LHAASO Collaboration), B. Zhou (The LHAASO Collaboration), H. Zhou (The LHAASO Collaboration), J. N. Zhou (The LHAASO Collaboration), M. Zhou (The LHAASO Collaboration), P. Zhou (The LHAASO Collaboration), R. Zhou (The LHAASO Collaboration), X. X. Zhou (The LHAASO Collaboration), X. X. Zhou (The LHAASO Collaboration), B. Y. Zhu (The LHAASO Collaboration), C. G. Zhu (The LHAASO Collaboration), F. R. Zhu (The LHAASO Collaboration), H. Zhu (The LHAASO Collaboration), K. J. Zhu (The LHAASO Collaboration), Y. C. Zou (The LHAASO Collaboration), X. Zuo (The LHAASO Collaboration)Thu, 12 Ma🔭 astro-ph

Dents in the Mirror: A Novel Probe of Dark Matter Substructure in Galaxy Clusters from the Astrometric Asymmetry of Lensed Arcs

This paper introduces a novel statistical method using astrometric asymmetries in lensed arcs to constrain the dark matter subhalo mass fraction in galaxy clusters, demonstrating its reliability through simulations and preliminary applications to JWST observations of MACSJ0416 and AS1063 that yield results consistent with Cold Dark Matter predictions.

Derek Perera, Daniel Gilman, Liliya L. R. Williams, Liang Dai, Xiaolong Du, Gregor Rihtarsic, Joaquin Becerra-Espinoza, Allison KeenThu, 12 Ma🔭 astro-ph

Impact of Nuclear Reaction Rate Uncertainties on Type I X-ray Burst Nucleosynthesis: A Monte Carlo Study

This study employs comprehensive Monte Carlo simulations to demonstrate that uncertainties in nuclear reaction rates can induce multi-peak abundance distributions for specific isotopes in Type I X-ray bursts, while also refining the identification of key reactions for future research.

Qing Wang, Ertao Li, Zhihong Li, Youbao Wang, Bing Guo, Yunju Li, Jun Su, Shipeng Hu, Yinwen Guan, Dong Xiang, Yu Liu, Lei Yang, Weiping LiuThu, 12 Ma🔭 astro-ph

The GLEAM 4-Jy (G4Jy) Sample: IV. Multiwavelength data and analysis

This paper presents an updated multiwavelength version of the G4Jy catalogue with 127 new host-galaxy identifications and enhanced redshift data, while introducing a novel radio-power–size–spectral-curvature analysis that reveals distinct populations of remnant, young, and restarted radio galaxies alongside new insights into their host-galaxy properties and infrared colors.

Sarah V. White, Precious K. Sejake, Kshitij Thorat, Heinz Andernach, Thomas M. O. Franzen, O. Ivy Wong, Anna D. Kapinska, Joseph R. Callingham, Christopher J. Riseley, Nick Seymour, Randall Wayth, Lister Staveley-Smith, Rajan Chhetri, Natasha Hurley-Walker, John Morgan, Paul Hancock, Francesco Massaro, Abigail Garcia-Perez, Ana Jimenez-Gallardo, Harold A. Pena-HerazoThu, 12 Ma🔭 astro-ph

Pre-training vision models for the classification of alerts from wide-field time-domain surveys

This paper demonstrates that adopting standardized computer vision architectures pre-trained on astronomical data, particularly from Galaxy Zoo, significantly improves the performance and efficiency of alert classification in wide-field time-domain surveys compared to traditional custom CNNs trained from scratch.

Nabeel Rehemtulla, Adam A. Miller, Mike Walmsley, Ved G. Shah, Theophile Jegou du Laz, Michael W. Coughlin, Argyro Sasli, Joshua Bloom, Christoffer Fremling, Matthew J. Graham, Steven L. Groom, David Hale, Ashish A. Mahabal, Daniel A. Perley, Josiah Purdum, Ben Rusholme, Jesper Sollerman, Mansi M. KasliwalThu, 12 Ma🔭 astro-ph

Hunting for the First Explosions at the High-Redshift Frontier

This paper proposes that the unexpectedly high-redshift sources detected by JWST, which may be contaminants or candidates at z30z\sim30, could instead be hyper-energetic pair-instability supernovae from the first metal-free stars, a scenario supported by cosmological simulations showing a non-negligible chance of such detections that would provide direct evidence of the epoch of first star formation.

Junehyoung Jeon, Volker Bromm, Alessandra Venditti, Steven L. Finkelstein, Tiger Yu-Yang HsiaoThu, 12 Ma🔭 astro-ph

Simulation-Based Inference for Probabilistic Galaxy Detection and Deblending

This paper introduces BLISS, a simulation-based inference framework that utilizes convolutional neural networks and denoising autoencoders to probabilistically detect, deblend, and measure galaxy properties in crowded astronomical images, demonstrating significant improvements in flux accuracy for blended and faint objects compared to deterministic methods.

Ismael Mendoza, Derek Hansen, Runjing Liu, Zhe Zhao, Ziteng Pang, Axel Guinot, Camille Avestruz, Jeffrey Regier, the LSST Dark Energy Science CollaborationThu, 12 Ma🔭 astro-ph

Broad line regions behind haze: Intrinsic shape of Brγ\gamma line and its origin in a type-1 Seyfert galaxy

By coupling radiation-hydrodynamic simulations with radiative-transfer calculations for the type-1 Seyfert galaxy NGC 3783, this study demonstrates that the observed broad Brγ\gamma line profile arises from intrinsic emission by a rotating thin disk that is significantly broadened and smoothed by electron scattering in a surrounding diffuse ionized haze.

Keiichi Wada, Tohru Nagao, Taro Shimizu, Daryl Joe D. Santos, Jinyi Shangguan, Richard DaviesThu, 12 Ma🔭 astro-ph

Calibrating redshift distributions at z>2z>2 with Lyman-α\alpha forest cross-correlations

This paper demonstrates that cross-correlating photometric galaxies with Lyman-α\alpha forest data using a novel theoretical framework can reliably calibrate the redshift distribution of high-redshift (z>2z>2) galaxy samples, achieving a mean redshift precision of σz/(1+zˉ)=0.006\sigma_z/(1+\bar{z}) = 0.006 at zˉ=2\bar{z}=2 in simulations of future DESI and LSST surveys.

Qianjun Hang, Laura Casas, William d'Assignies, Wynne Turner, Andreu Font-Ribera, Benjamin JoachimiThu, 12 Ma🔭 astro-ph