L. Storchi, P. Campeti, M. Lattanzi, N. Antonini, E. Calore, P. Lubrano: gCAMB: A GPU-accelerated Boltzmann solver for next-generation cosmological surveys https://arxiv.org/abs/2509.25110 https://arxiv.org/pdf/2509.25110 https://arxiv.org/html/2509.25110

Xiaolong Yang, Lile Wang, Di Li, Shenzhen Xu: Interstellar Dust-Catalyzed Molecular Hydrogen Formation Enabled by Nuclear Quantum Effects https://arxiv.org/abs/2509.25070 https://arxiv.org/pdf/2509.25070 https://arxiv.org/html/2509.25070

Pasquato, Marelli, De Luca, Salvaterra, Carenini, Belfiore, Tiengo, Esposito: Stellar flare detection in XMM-Newton with gradient boosted trees https://arxiv.org/abs/2509.24954 https://arxiv.org/pdf/2509.24954 https://arxiv.org/html/2509.24954

M. Alakhras, S. M. S. Movahed: Graph-based Analysis for Revealing the Stochastic Gravitational Wave Background in Pulsar Timing Arrays https://arxiv.org/abs/2509.24904 https://arxiv.org/pdf/2509.24904 https://arxiv.org/html/2509.24904

Herman Sletmoen: SymBoltz.jl: a symbolic-numeric, approximation-free and differentiable linear Einstein-Boltzmann solver https://arxiv.org/abs/2509.24740 https://arxiv.org/pdf/2509.24740 https://arxiv.org/html/2509.24740

Bastien Lacave, Tjark Miener, Alexander Cervi\~no: Deep Learning Reconstruction on Crab LST-1 Data https://arxiv.org/abs/2509.24499 https://arxiv.org/pdf/2509.24499 https://arxiv.org/html/2509.24499

E. Molina, L. Foffano, S. Crestan, S. Iovenitti, S. Lombardi, F. Lucarelli, T. Mineo: To cut or not to cut: Data-quality evaluation for the ASTRI Mini-Array https://arxiv.org/abs/2509.24453 https://arxiv.org/pdf/2509.24453 https://arxiv.org/html/2509.24453

Akshay Priyadarshi, Eamonn Kerins: Technique-agnostic exoplanet demography for the Roman era - I. Testing a retrieval framework using simulated Kepler-like transit datasets https://arxiv.org/abs/2509.24401 https://arxiv.org/pdf/2509.24401 https://arxiv.org/html/2509.24401

Jun-Yang Liu, Yong Zhang, Xu-Jia Ouyang: FAST search for circumstellar atomic hydrogen. IV. bubbles associated with planetary nebulae https://arxiv.org/abs/2509.24400 https://arxiv.org/pdf/2509.24400 https://arxiv.org/html/2509.24400

Shubh Agrawal, James Aguirre, Ryan Keenan: Far-infrared lines hidden in archival deep multi-wavelength surveys: Limits on [CII]-158$\mu$m at $z \sim 0.3-2.9$ https://arxiv.org/abs/2509.24211 https://arxiv.org/pdf/2509.24211 https://arxiv.org/html/2509.24211

ia Redondo, et al.: Microwave SQUID Multiplexer Readout Performance Using a Direct-RF RFSoC-Based Software-Defined Radio https://arxiv.org/abs/2509.23569 https://arxiv.org/pdf/2509.23569 https://arxiv.org/html/2509.23569

Jodi Berdis, Carlie Wagoner, Akemi Takeuchi, Karl Hibbitts: The Near-Infrared Spectral Characteristics of Water Ice, Epsomite, and Halite Mixtures Relevant to Europa https://arxiv.org/abs/2509.22927 https://arxiv.org/pdf/2509.22927 https://arxiv.org/html/2509.22927

Ashwini Kulkarni, Santosh Nannuru: Time-Frequency Analysis of Non-Uniformly Sampled Signals via Sample Density Adaptation https://arxiv.org/abs/2509.22891 https://arxiv.org/pdf/2509.22891 https://arxiv.org/html/2509.22891

Romero, et al.: Towards a foundation model for astrophysical source detection: An End-to-End Gamma-Ray Data Analysis Pipeline Using Deep Learning https://arxiv.org/abs/2509.25128 https://arxiv.org/pdf/2509.25128 https://arxiv.org/html/2509.25128

Ben Keller, et al.: CCAT: Mod-Cam Readout Overview and Flexible Stripline Performance https://arxiv.org/abs/2509.25021 https://arxiv.org/pdf/2509.25021 https://arxiv.org/html/2509.25021

Lawrence T. Lin, et al.: CCAT: Mod-Cam Cryogenic Performance and its Impact on 280 GHz KID Array Noise https://arxiv.org/abs/2509.25018 https://arxiv.org/pdf/2509.25018 https://arxiv.org/html/2509.25018

David Yallup, Metha Prathaban, James Alvey, Will Handley: Parallel Nested Slice Sampling for Gravitational Wave Parameter Estimation https://arxiv.org/abs/2509.24949 https://arxiv.org/pdf/2509.24949 https://arxiv.org/html/2509.24949

Pablo A. Pe\~na R., James S. Jenkins: Closing the Evidence Gap: reddemcee, a Fast Adaptive Parallel Tempering Sampler https://arxiv.org/abs/2509.24870 https://arxiv.org/pdf/2509.24870 https://arxiv.org/html/2509.24870

Xander Byrne, Amy Bonsor, Laura K. Rogers, Mariona Badenas-Agusti: Finding rare classes in large datasets: the case of polluted white dwarfs from Gaia XP spectra https://arxiv.org/abs/2509.24487 https://arxiv.org/pdf/2509.24487 https://arxiv.org/html/2509.24487

Tan, Protopapas, C\'adiz-Leyton, Cabrera-Vives, Donoso-Oliva, Becker: ASTROCO: Self-Supervised Conformer-Style Transformers for Light-Curve Embeddings https://arxiv.org/abs/2509.24134 https://arxiv.org/pdf/2509.24134 https://arxiv.org/html/2509.24134

Zhang, Lin, Ting, Chen, Ruan, Li, Wang: Interpreting deep learning-based stellar mass estimation via causal analysis and mutual information decomposition https://arxiv.org/abs/2509.23901 https://arxiv.org/pdf/2509.23901 https://arxiv.org/html/2509.23901

Michael Garrett (University of Manchester, JBCA,Leiden University): Blink and you'll miss it -- How Technological Acceleration Shrinks SETI's Narrow Detection Window https://arxiv.org/abs/2509.23632 https://arxiv.org/pdf/2509.23632 https://arxiv.org/html/2509.23632

Nachman, Desai, Galitzki, Lee, Lloyd, Nandi, Pagni, Radebaugh, Shaw: Cryogenic Materials Repository: A Public Resource and New Measurements for Cryogenic Research Applications https://arxiv.org/abs/2509.23422 https://arxiv.org/pdf/2509.23422 https://arxiv.org/html/2509.23422

Inoue, Hsu, Huang, Ismail, Kumar, Ma'arif, Patel, Tanabe, Wong, Yu: CHRONOS: Cryogenic sub-Hz cROss torsion bar detector with quantum NOn-demolition Speed meter https://arxiv.org/abs/2509.23172 https://arxiv.org/pdf/2509.23172 https://arxiv.org/html/2509.23172

Robin H. D. Corbet: A Less Terrifying Universe? Mundanity as an Explanation for the Fermi Paradox https://arxiv.org/abs/2509.22878 https://arxiv.org/pdf/2509.22878 https://arxiv.org/html/2509.22878

[2025-09-30 Tue (UTC), 12 new articles found for astro-phIM Instrumentation and Methods for Astrophysics]

Marx, Chatterjee, Desai, Kumar, Benoit, Sasli, Singer, Coughlin, Harris, Katsavounidis: Likelihood-free inference for gravitational-wave data analysis and public alerts https://arxiv.org/abs/2509.22561 https://arxiv.org/pdf/2509.22561 https://arxiv.org/html/2509.22561

Patricia H. Reiff, Carolyn T. Sumners, Charles H. Gardner, Amir Caspi, Sarah Kovac: Engaging and Educating Eclipse Observers Through Workshops, Media, Planetarium shows and Citizen Science https://arxiv.org/abs/2509.22348 https://arxiv.org/pdf/2509.22348 https://arxiv.org/html/2509.22348

James Pearson, et al.: Galaxy Zoo: Cosmic Dawn -- morphological classifications for over 41,000 galaxies in the Euclid Deep Field North from the Hawaii Two-0 Cosmic Dawn survey https://arxiv.org/abs/2509.22311 https://arxiv.org/pdf/2509.22311 https://arxiv.org/html/2509.22311

K. Kotera, et al.: Background stability and annual modulation test using PICOLON ultra-pure NaI(Tl) detector https://arxiv.org/abs/2509.22021 https://arxiv.org/pdf/2509.22021 https://arxiv.org/html/2509.22021

de Salis, De Santis, Piras, Giri, Bianco, Cerardi, Denzel, Selcuk-Simsek, Hess, Toribio, Kirsten, Ghorbel: Exploring the Early Universe with Deep Learning https://arxiv.org/abs/2509.22018 https://arxiv.org/pdf/2509.22018 https://arxiv.org/html/2509.22018

Xia, Cai, Xue, Lu, Ren, Zhou, Sun, Zhu, Su, Liu: Baseline-Aware Dependence fitting for DAmping Timescales (BADDAT): A Nearly Unbiased Approach to Constraining Optical Variability Dependence o... https://arxiv.org/abs/2509.21855 https://arxiv.org/pdf/2509.21855 https://arxiv.org/html/2509.21855

J. Cuevas-Zepeda, C. Chavez, J. Estrada, J. Noonan, B. D. Nord, N. Saffold, M. Sofo-Haro, R. Spinola e Castro, S. Trivedi: Automating Sensor Characterization with Bayesian Optimization https://arxiv.org/abs/2509.21661 https://arxiv.org/pdf/2509.21661 https://arxiv.org/html/2509.21661

Lynn D. Matthews: Radio Stars in the Era of New Observatories https://arxiv.org/abs/2509.21467 https://arxiv.org/pdf/2509.21467 https://arxiv.org/html/2509.21467

Waleed Esmail, Alexander Kappes, Stuart Russell, Christine Thomas: Forecasting Seismic Waveforms: A Deep Learning Approach for Einstein Telescope https://arxiv.org/abs/2509.21446 https://arxiv.org/pdf/2509.21446 https://arxiv.org/html/2509.21446

Florian K\'eruzor\'e: halox: Dark matter halo properties and large-scale structure calculations using JAX https://arxiv.org/abs/2509.22478 https://arxiv.org/pdf/2509.22478 https://arxiv.org/html/2509.22478

Alessio Traficante, Fabrizio De Angelis, Alice Nucara, Milena Benedettini: Hyper-py: HYbrid Photometry and Extraction Routine in PYthon https://arxiv.org/abs/2509.22453 https://arxiv.org/pdf/2509.22453 https://arxiv.org/html/2509.22453

Dutcher, Dow, Duff, Henderson, Hubmayr, Johnson, Link, Lucas, Niemack, Seino, Sonka, Staggs, Wang, Zheng: The Simons Observatory: Characterization of the 220/280 GHz TES Detector Modules https://arxiv.org/abs/2509.22382 https://arxiv.org/pdf/2509.22382 https://arxiv.org/html/2509.22382

M. Galloway, H. K. Eriksen, R. M. Sullivan, D. J. Watts, I. K. Wehus, L. Zapelli: N+2 Mapmaking for Polarized CMB Experiments https://arxiv.org/abs/2509.22322 https://arxiv.org/pdf/2509.22322 https://arxiv.org/html/2509.22322

A. Dinesh, M. L\'ainez, R. A. Cervi\~no, D. Morcuende, A. Moralejo, J. L. Contreras, A. Baquero, J. Lozano: Next-day observation processing for the LST-1 and MAGIC https://arxiv.org/abs/2509.22074 https://arxiv.org/pdf/2509.22074 https://arxiv.org/html/2509.22074

Tsujii, Tanaka, Fasano, G\'enova-Santos, Honda, Jo, Kataoka, Otani, Peel, Suzuki, Tajima, Won, Hattori: Optimization procedure of the baffle of the GroundBIRD Telescope to mitigate stray light https://arxiv.org/abs/2509.22071 https://arxiv.org/pdf/2509.22071 https://arxiv.org/html/2509.22071

X. Li, K. Adamek, W. Armour: FITrig: A High-Performance Detection Technique for Efficient Ultra-Long-Period Pulsars https://arxiv.org/abs/2509.21754 https://arxiv.org/pdf/2509.21754 https://arxiv.org/html/2509.21754

Sauvage, Besnard, de Jabrun, Bouzit, Maffei: Performance characterization of a new Structural and Thermal Architecture for a future spaceborne Closed-Cycle Dilution Refrigerator https://arxiv.org/abs/2509.21546 https://arxiv.org/pdf/2509.21546 https://arxiv.org/html/2509.21546

GRAVITY+ Collaboration: First Light for the GRAVITY+ Adaptive Optics: Extreme Adaptive Optics for the Very Large Telescope Interferometer https://arxiv.org/abs/2509.21431 https://arxiv.org/pdf/2509.21431 https://arxiv.org/html/2509.21431

Rebollido, Hasegawa, MacGregor, Ren, Booth, Marshall, Dressing, Luppe: Debris disks and their properties with the Habitable Worlds Observatory https://arxiv.org/abs/2509.21407 https://arxiv.org/pdf/2509.21407 https://arxiv.org/html/2509.21407

Hana Ali Messaoud, Tom Fran\c{c}ois, Thomas Vuillaume: Advanced stereoscopy applied to CTAO https://arxiv.org/abs/2509.21366 https://arxiv.org/pdf/2509.21366 https://arxiv.org/html/2509.21366

[2025-09-29 Mon (UTC), 11 new articles found for astro-phIM Instrumentation and Methods for Astrophysics]

Sofia V. Sosa Fiscella, et al.: The NANOGrav 15-Year Data Set: Improved Timing Precision With VLBI Astrometric Priors https://arxiv.org/abs/2509.21203 https://arxiv.org/pdf/2509.21203 https://arxiv.org/html/2509.21203

Lucas Moisset, Marco Meyer-Conde, Christopher Allene, Yusuke Sakai, Dan Chen, Nobuyuki Kanda, Hirotaka Takahashi: Regression of Suspension Violin Modes in KAGRA O3GK Data with Kalman Filters https://arxiv.org/abs/2509.20658 https://arxiv.org/pdf/2509.20658 https://arxiv.org/html/2509.20658

Saps Buchman, Suwen Wang, Shallendar Saraf: A Passive UV-Based System for Discharging the Test Masses of Ground Based Gravitational Wave Detectors https://arxiv.org/abs/2509.20582 https://arxiv.org/pdf/2509.20582 https://arxiv.org/html/2509.20582