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Physics Preprint PDF DOI

Applications of 1.4 GHz diagnostics to Type Ia Supernova host galaxies

S. Ramaiya, M. J. Jarvis, M. Vincenzi, M. Sullivan, I. H. Whittam · 2026

Type Ia supernova (SN Ia) standardisation parameters exhibit evidence for systematic variation across the host galaxy star-formation rate - stellar mass (SFR$-M_\star$) plane, motivating the incorpora…

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Physics Preprint PDF DOI

Finding Strongly Lensed Supernovae from Blended Light Curves

Sangwoo Park, Arman Shafieloo, Alex G. Kim, Eric V. Linder, Xiaosheng Huang · 2026

We present a model-independent, photometry-only framework for identifying strongly lensed supernovae when multiple images are unresolved and blended into a single point source. Building on the simulat…

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Computer Science Preprint PDF DOI

AMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving

Zhongkai Yu, Haotian Ye, Chenyang Zhou, Ohm Rishabh Venkatachalam, Zaifeng Pan, Zhengding Hu, Junsung Kim, Won Woo Ro, Po-An Tsai, Shuyi Pei, Yangwook Kang, Yufei Ding · 2026

All current LLM serving systems place the GPU at the center, from production-level attention-FFN disaggregation to NVIDIA's Rubin GPU-LPU heterogeneous platform. Even academic PIM/PNM proposals still …

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Earth & Environmental Sciences Preprint PDF DOI

Measuring Apsidal Clustering

Amir Siraj, Christopher F. Chyba, Scott Tremaine · 2026

The decade-long debate over the existence of apsidal clustering in the outer solar system is poised for reignition given the plethora of distant trans-Neptunian object (TNO) discoveries expected from …

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Physics Preprint PDF DOI

LStein: A new approach to visualizing sparse 2.5-dimensional data

Lukas Steinwender, Anais Moller, Christopher J. Fluke · 2026

Visualization of high-dimensional data is crucial to retrieve all the knowledge that is contained within a dataset. Effective and informative presentation of three-dimensional data via a two-dimension…

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Physics Preprint PDF DOI

Beyond the Final Label: Exploiting the Untapped Potential of Classification Histories in Astronomical Light Curve Analysis

Zhuoyang Zhou, Alex I. Malz, Chad M. Schafer, Konstantin Malanchev, Guillermo Cabrera-Vives, Christopher Hernandez · 2026

The Legacy Survey of Space and Time (LSST) on the Vera C. Rubin Observatory will generate a massive collection of time series (light curves) of the measured flux of transient and variable astronomical…

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Physics Preprint PDF DOI

KilonovaSCORER: Prior-Predictive Scoring of Kilonovae for Real-Time Multimessenger Follow-Up

P. Darc, C. D. Kilpatrick · 2026

Real-time ranking of optical transient candidates during gravitational-wave (GW) and multimessenger follow-up is challenging when only sparse early-time, multi-band photometry is available.We present …

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Physics Preprint PDF DOI

The abundance and radial distribution of faint and ultra-faint dwarfs in galaxy clusters

Pradyumna Sadhu, Laura V. Sales, Julio F. Navarro, Raphael Errani, Jose Benavides, Eric W. Peng · 2026

Cosmological simulations of galaxy clusters are unable to resolve dwarf galaxies due to limited numerical resolution which drives the artificial disruption of dark matter substructures. We address the…

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AI & Data Science Preprint PDF DOI

Calibeating Prediction-Powered Inference

Lars van der Laan, Mark Van Der Laan · 2026

We study semisupervised mean estimation with a small labeled sample, a large unlabeled sample, and a black-box prediction model whose output may be miscalibrated. A standard approach in this setting i…

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Physics Preprint PDF DOI

Photometric Super-Resolution for Improving Galaxy Morphological Measurements using Conditional Generative Adversarial Networks

Samuel Kahn (UCSC), Ryan Hausen (Johns Hopkins), Hubert Bretonniere (UCSC), Nicole Drakos (UH), Brant Robertson (UCSC) · 2026

The measurement of galaxy morphological parameters from astronomical images features in a wide range of modern analyses, including galaxy evolution and cosmological weak lensing studies. The precision…

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Physics Preprint PDF DOI

Calibration-Induced Systematics in SALT3 Training and Their Impact on Dark Energy Constraints from Stage IV Supernova Surveys

Kene Anumba, David 0. Jones, Richard Kessler, Daniel Scolnic, W. D'Arcy Kenworthy, Rebecca C. Chen, Bastien Carreres, Maria Vincenzi, Erik R. Peterson, Maria Acevedo, Ben Rose, Dillon Brout, Jillian Paulin, Rujuta A. Purohit, Rebekah Hounsell, The Roman Supernova Cosmology Project Infrastructure Team · 2026

In the coming years, the Vera Rubin Observatory's Legacy Survey of Space and Time (Rubin-LSST) and the Nancy Grace Roman Space Telescope's (Roman) High Latitude Time Domain Survey (HLTDS) are expected…

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Physics Preprint PDF DOI

Testing $\Lambda$CDM versus dynamical dark energy in one year: A DESI spectroscopic follow-up program for Rubin supernovae

Jannik Truong, Greg Aldering, Saul Perlmutter, David Rubin, David Schlegel · 2026

Combined cosmological probes currently indicate that best-fit values in the $w_0-w_a$ parametrization of dynamical dark energy deviate from $\Lambda$CDM by $\sim3\sigma$. In this work, we present a su…

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Physics Preprint PDF DOI

White dwarf + M dwarf Detached Binaries in Long Period Radio Transients: Observed Binary Parameters, Evolution, and Population Constraints

Antonio C. Rodriguez, Kareem El-Badry, Iris de Ruiter, Kaustubh Rajwade, Edo Berger, Liam Connor, Natasha Hurley-Walker · 2026

Long period radio transients (LPTs) are the slowest radio-pulsing sources ever found, with the current population spanning periods of seven minutes to over six hours. Two of the thirteen published LPT…

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Physics Preprint PDF DOI

Smokescreen: A Python package for data vector blinding and encryption in cosmological analyses

Arthur Loureiro, Jessica Muir, Jonathan Blazek, Nora Elisa Chisari, Pedro H. Costa Ribeiro, Christos Georgiou, C. Danielle Leonard, Bruno Moraes, Marc Paterno, Nikolina Sarcevic, Tilman Troster, Sandro D. P. Vitenti, the LSST Dark Energy Science Collaboration · 2026

Smokescreen is an open-source Python library for data-vector concealment (blinding) in cosmological analyses. Data-vector blinding works by applying cosmology-dependent shifts to the observed data vec…

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Physics Preprint PDF DOI

Efficiently emulating distribution functions in gigaparsec volumes for varying cosmological parameters

Christopher C. Lovell, Max E. Lee, William J. Roper, Daniel Angles-Alcazar, Shy Genel, Shivam Pandey, Francisco Villaescusa-Navarro · 2026

We present a new method for emulating the halo mass function (HMF) and other distribution functions in large effective volumes, down to low halo masses, whilst simultaneously modifying large ranges of…

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Physics Preprint PDF DOI

Signatures of Massive Neutrinos in the Cosmic Web via Persistent Homology

Hogyun Yu, Michael Michaux, Donghyun Kim, Changhee Song, Ingyu Yun, Donghyeon Lee, Yoonyoung Lee, Graziano Rossi · 2026

We present the second paper in our program characterizing the impact of massive neutrinos on the multiscale cosmic web using global topology and persistent homology. Building on the methodology establ…

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Computer Science Preprint PDF DOI

MemExplorer: Navigating the Heterogeneous Memory Design Space for Agentic Inference NPUs

Haoran Wu, Zeyu Cao, Yao Lai, Binglei Lou, Jiayi Nie, Can Xiao, Timi Adeniran, Przemyslaw Forys, Kauser Johar, Catriona Wright, Junyi Liu, Kai Shi, Nicholas D. Lane, Rika Antonova, Jianyi Cheng, Timothy Jones, Aaron Zhao, Robert Mullins · 2026

Emerging agentic LLM workloads are driving rapidly growing demand on both memory capacity and bandwidth, with different phases of inference (e.g., prefill and decode) imposing distinct requirements. I…

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Physics Preprint PDF DOI

Classifying Supermassive Black Hole Growth Regimes to Observables Across Cosmological Simulations with Forecasts for LSST

Hitaishi Chillara · 2026

The possibility of over-massive black holes suggested by James Webb Space Telescope photometric discoveries of 'little red dots', may disfavor light supermassive black hole (SMBH) seeds. However, what…

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Physics Preprint PDF DOI

Detectability of Gravitationally Lensed Kilonovae in the Rubin LSST

Anindya Ganguly, Anupreeta More · 2026

Identification and characterisation of Kilonovae (KNe) can be instrumental in improving our understanding of cosmology and astrophysics. However, their detection poses unique challenges due to rarity …

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Economics & Finance Preprint PDF DOI

Jackknife Instrumental Variable Inference

Federico Crudu, Giovanni Mellace, Zsolt Sandor · 2026

This paper introduces a class of jackknife-based test statistics for linear regression models with endogeneity and heteroskedasticity in the presence of many potentially weak instrumental variables. T…

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