Medium-band Astrophysics with the Grism of NIRCam In Frontier fields (MAGNIF): Spectroscopic Census of H$α$ Luminosity Functions and Cosmic Star Formation at $zsim 4.5$ and 6.3

Posted by dbos Peking, This Week: Astrophysics

Kavli Affiliate: Linhua Jiang | First 5 Authors: Shuqi Fu, Fengwu Sun, Linhua Jiang, Xiaojing Lin, Jose M. Diego | Summary: We measure H$alpha$ luminosity functions (LFs) at redshifts $z sim 4.5$ and 6.3 using the JWST MAGNIF (Medium-band Astrophysics with the Grism of NIRCam In Frontier fields) survey. MAGNIF obtained NIRCam grism spectra with […]


Continue.. Medium-band Astrophysics with the Grism of NIRCam In Frontier fields (MAGNIF): Spectroscopic Census of H$α$ Luminosity Functions and Cosmic Star Formation at $zsim 4.5$ and 6.3

The optical and infrared are connected

Posted by dbos This Week: Astrophysics, Tokyo

Kavli Affiliate: David N. Spergel | First 5 Authors: Christian K. Jespersen, Peter Melchior, David N. Spergel, Andy D. Goulding, ChangHoon Hahn | Summary: Galaxies are often modelled as composites of separable components with distinct spectral signatures, implying that different wavelength ranges are only weakly correlated. They are not. We present a data-driven model which […]


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Trial by FIRE: Probing the dark matter density profile of dwarf galaxies with GraphNPE

Posted by dbos MIT, This Week: Astrophysics

Kavli Affiliate: Lina Necib | First 5 Authors: Tri Nguyen, Justin Read, Lina Necib, Siddharth Mishra-Sharma, Claude-André Faucher-Giguère | Summary: The Dark Matter (DM) distribution in dwarf galaxies provides crucial insights into both structure formation and the particle nature of DM. GraphNPE (Graph Neural Posterior Estimator), first introduced in Nguyen et al. (2023), is a […]


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Towards Understanding Distilled Reasoning Models: A Representational Approach

Posted by dbos MIT, This Week: Astrophysics

Kavli Affiliate: Max Tegmark | First 5 Authors: David D. Baek, Max Tegmark, , , | Summary: In this paper, we investigate how model distillation impacts the development of reasoning features in large language models (LLMs). To explore this, we train a crosscoder on Qwen-series models and their fine-tuned variants. Our results suggest that the […]


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A Linear Decomposition Method to Analyze and Study Pulsar Mode Changes

Posted by dbos Peking, This Week: Astrophysics

Kavli Affiliate: Kejia Lee | First 5 Authors: Longfei Hao, Zhixuan Li, Faxin Shen, Yonghua Xu, Yuxiang Huang | Summary: In this paper, we present the linear decomposition method (LDM), which we developed to detect and analyze pulsar profile variations and mode changing behaviour. We developed LDM utilizing the likelihood function approach assuming the Gaussian […]


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Photometric-Metallicity and Distance Estimates for $sim$70,000 RR Lyrae Stars from the Zwicky Transient Facility

Posted by dbos Peking, This Week: Astrophysics

Kavli Affiliate: Huawei Zhang | First 5 Authors: Shunxuan He, Yang Huang, XinYi Li, Huawei Zhang, Gaochao Liu | Summary: Utilizing Zwicky Transient Facility (ZTF) data and existing RR Lyrae stars (RRLs) catalogs, this study achieves the first calibration of the $P – phi_{31} – R_{21} – text{[Fe/H]}$ and $P-phi_{31}-A_{2}-A_{1}-text{[Fe/H]}$ relations in the ZTF photometric […]


Continue.. Photometric-Metallicity and Distance Estimates for $sim$70,000 RR Lyrae Stars from the Zwicky Transient Facility

Visualizing the breakdown of the quantum anomalous Hall effect

Posted by dbos Cornell, This Week: Nanoscience

Kavli Affiliate: Katja C. Nowack | First 5 Authors: George M. Ferguson, Run Xiao, Anthony R. Richardella, Austin Kaczmarek, Nitin Samarth | Summary: The creation of topologically non-trivial matter across electronic, mechanical, cold-atom, and photonic platforms is advancing rapidly, yet understanding the breakdown of topological protection remains a major challenge. In this work, we use […]


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Add-One-In: Incremental Sample Selection for Large Language Models via a Choice-Based Greedy Paradigm

Posted by dbos Peking, This Week: Astrophysics

Kavli Affiliate: Zhuo Li | First 5 Authors: Zhuo Li, Yuhao Du, Xiaoqi Jiao, Yiwen Guo, Yuege Feng | Summary: Selecting high-quality and diverse training samples from extensive datasets plays a crucial role in reducing training overhead and enhancing the performance of Large Language Models (LLMs). However, existing studies fall short in assessing the overall […]


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A Hybrid CNN-Transformer Model for Heart Disease Prediction Using Life History Data

Posted by dbos Berkeley, This Week: Nanoscience

Kavli Affiliate: Ting Xu | First 5 Authors: Ran Hao, Yanlin Xiang, Junliang Du, Qingyuan He, Jiacheng Hu | Summary: This study proposed a hybrid model of a convolutional neural network (CNN) and a Transformer to predict and diagnose heart disease. Based on CNN’s strength in detecting local features and the Transformer’s high capacity in […]


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The Stochastic Siren: Astrophysical Gravitational-Wave Background Measurements of the Hubble Constant

Posted by dbos Chicago, This Week: Astrophysics

Kavli Affiliate: Daniel E. Holz | First 5 Authors: Bryce Cousins, Kristen Schumacher, Adrian Ka-Wai Chung, Colm Talbot, Thomas Callister | Summary: Gravitational waves from individually resolved compact object mergers can be used as standard sirens, offering a novel self-calibrating precision probe of cosmology. While the standard siren method has been well-explored, the gravitational-wave background […]


Continue.. The Stochastic Siren: Astrophysical Gravitational-Wave Background Measurements of the Hubble Constant