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astro-ph.HE2026

Shortening the Baseline: Characterising Type Ia Supernovae Using

Joel M. Velasco, Paolo A. Mazzali, Christopher Ashall +8

An explorative study of Type Ia Supernovae (SNe Ia) light curves is presented. decline-rate metrics are used to evaluate alternative characterisations of light curve di…

astro-ph.IM2026

Quantifying the temperature-dependent yields of N and NH formation in vacuum-ultraviolet-irradiated NH ice

P. Samarth, G. Fedoseev, S. Ioppolo +3

Gas--grain astrochemical models predict that a substantial fraction of elemental nitrogen in dense cores and protoplanetary disks is locked in molecular nitrogen (N), in the ga…

astro-ph.GA2026★ 2 cited

In situ characterization of volatile and refractory hydrocarbons produced by UV photolysis of interstellar CH ice

P. Samarth, G. Fedoseev, M. Bulak +5

Acetylene (CH) is commonly observed in star-forming regions, young stellar objects, and the Solar System. Laboratory and theoretical studies have linked this simplest alkyn…

eess.SP2026

A Dry-Contact Ear-EEG System With Continuous Electrode-Skin Impedance Mismatch Monitoring for Motion Artifact Cancellation Using DRL Stimulus

Lohan Atapattu, Sajitha Madugalle, Imasha Nethmal +6

Dry-contact ear-electroencephalography (Ear-EEG) enables wearable neural monitoring. However, motion induced electrode-skin impedance (ESI) mismatches between electrodes can severe…

cs.AR2026

Non-uniform Memory Partitioning For Low-Power Spiking Neural Networks

Simon Richter, Darío Fernández Khatiboun, Maryam Sadeghi +2

Spiking Neural Networks (SNNs) naturally excel in processing temporally rich and sparse data. However, because of their time-stepped processing, memory access, specifically to syna…

math.KT2026

On the abelianization of congruence subgroups of over -integers

Pedro H. Amorim, Isadora V. Picinini, Bruno R. Ramos +1

In this work, we compute the first integral homology, or abelianization, of the congruence subgroups , and fo…

stat.AP2026

Evaluating the Role of Blockage Deficit Models in Robust Wind Farm Design

Manh Cuong Ngo, Alexander Meyer Forsting

Uncertainty in wind farm layout optimization regarding model choice and the impact of global blockage always exists. This paper evaluates these interactions by extending a multi-ob…

astro-ph.IM2026

The Kepler and TESS Asteroseismic Consortia - A Historical Overview

Mikkel N. Lund, Tiago L. Campante

This overview is, in short, about people. About an idea that grew into a consortium, then a community, and finally a way of doing asteroseismology in the space era. The Kepler Aste…

cs.RO2026

Lightweight 3D Object Detection via Mamba-Based Knowledge Distillation

Quoc Cuong Ninh, Huy Xuan Pham, Anh Tung Nguyen +1

3D object detection using light detection and ranging (LiDAR) sensors requires a balance between accuracy and computational efficiency for onboard perception in autonomous driving…

astro-ph.SR2026★ 3 cited

An interstellar energetic and non-aqueous pathway to peptide formation

Alfred Thomas Hopkinson, Ann Mary Wilson, Joe Pitfield +13

The origin of the molecular building blocks of life is a central question in science. A few -amino acids such as glycine, the simplest proteinogenic amino acid, have been detect…

astro-ph.HE2026

SN 2022erq: A Superluminous Thermonuclear Supernova with Escalating Preexplosion Mass Loss

Qian Zhai, Jujia Zhang, Xiaofeng Wang +51

We present a photometric and spectroscopic study of the superluminous Type Ia supernova SN 2022erq. Its early spectra, dominated by iron-group elements with weak intermediate-mass…

astro-ph.GA2026★ 5 cited

Magnesium isotope ratios in Milky Way and dwarf galaxy stars

M. McKenzie, S. Monty, D. Yong +8

Under the assumption of hierarchical galaxy formation, dwarf galaxies are the closest existing analogues to the high-redshift protogalaxies that merged to form the Milky Way. These…

cs.FL2026

Random Generation of Small Quantitative Automata for Algorithm Debugging

Mikael Bisgaard Dahlsen-Jensen, Jaco van de Pol

Analysis algorithms for quantitative automata are complex and hard to validate. Existing approaches -- benchmarks, mutation testing, uniform random generation -- each fail to expos…

astro-ph.HE2026

Late-time evolution of the interacting stripped-envelope supernova 2017dio

C. Humina, C. P. Gutiérrez, H. Kuncarayakti +14

The discovery of stripped-envelope supernovae (SNe) interacting with dense circumstellar medium (CSM) challenges our current understanding of massive star evolution. We present lat…

astro-ph.SR2026

Luminaries in the Sky: The TESS LEGACY sample of bright stars. II. In-depth seismic characterisation of 32 naked-eye stars in the PLATO LOP fields

E. Panetier, G. T. Hookway, E. Corsaro +13

The NASA TESS mission is conducting a nearly full-sky survey, enabling the photometric characterisation of millions of stars. The forthcoming ESA PLATO mission will provide long-du…

cs.LG2026

LakeFM: Toward a Foundation Model for Aquatic Ecosystems Using Irregular Multivariate Multi-depth Time Series Data

Abhilash Neog, Sepideh Fatemi, Medha Sawhney +9

Understanding and forecasting lake dynamics is critical for monitoring water quality and ecosystem health across lakes and reservoirs. While machine learning methods have been rece…

astro-ph.SR2026

Dimming and pulsation shock of the coalesced star V838 Monocerotis

T. Kamiński, C. E. Woodward, T. Liimets +3

V838 Mon is the remnant of a stellar merger that occurred in 2002. Twenty-four years after the merger, the remnant closely resembles a red supergiant, but its luminosity is sustain…

physics.ed-ph2026

Resource Letter QIE-1: Research in quantum information education

Josephine C. Meyer, Simon Goorney, Tunde Kushimo +1

In celebration of the 2025 UN International Year of Quantum Science and Technology, this Resource Letter surveys the rapidly-growing field of scholarship in quantum information sci…

cs.DC2026

Profiling-Driven Adaptive Distributed Transformer Inference on Embedded Edge Deployment

Muhammad Azlan Qazi, Alexandros Iosifidis, Qi Zhang

Distributing Transformer inference across embedded edge devices can alleviate individual memory and compute constraints, yet practical benefits on real hardware remain unclear: pri…

cs.HC2026

TombWriter: Scaffolding Story Archeology through Beat-Level Interaction in Human-AI Co-Writing

Hugo Andersson, Niklas Elmqvist

The dominant paradigm for LLM interaction in AI co-writing uses disposable prompts that vanish after use. This may lead to imprecise results, cumbersome workflows, and diminished a…

cs.LG2026

A Comparative Study of Model Selection Criteria for Symbolic Regression

Ali Soltani, Gabriel Kronberger, Fabricio Olivetti de Franca +2

Effective model selection is critical in symbolic regression (SR) to identify mathematical expressions that balance accuracy and complexity, and have low expected error on unseen d…

astro-ph.IM2026

The SOXS Spectrograph Instrument Control Software

Davide Ricci, Bernardo Salasnich, Andrea Baruffolo +51

SOXS (Son Of X-Shooter) is a new spectrograph for the European Southern Observatory (ESO), recently installed at the New Technology Telescope (NTT) at the La Silla Observatory, Chi…

astro-ph.GA2026

VLTI-GRAVITY observations of blazars

Talvikki Hovatta, Elina Lindfors, Heidi Korhonen +5

Parsec-scale jets of blazars have so far been spatially resolved only in millimeter and submillimeter wavelengths, where very long baseline interferometry can be used to obtain mil…

cs.HC2026

InvestChat: Exploring Multimodal Interaction via Natural Language, Touch, and Pen in an Investment Dashboard

Sarah Lykke Tost, Adson Lucas de Paiva Sales, Henrik Østergaard +2

We designed and implemented InvestChat, a multimodal tablet-based application that supports stock market exploration with multiple coordinated views and an LLM-powered chat. We eva…