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

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 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 […]


Continue.. The optical and infrared are connected

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

Posted by dbos MIT

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 […]


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

Towards Understanding Distilled Reasoning Models: A Representational Approach

Posted by dbos MIT

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 […]


Continue.. Towards Understanding Distilled Reasoning Models: A Representational Approach

Towards Understanding Distilled Reasoning Models: A Representational Approach

Posted by dbos MIT

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 […]


Continue.. Towards Understanding Distilled Reasoning Models: A Representational Approach

A Linear Decomposition Method to Analyze and Study Pulsar Mode Changes

Posted by klaurent Peking

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 […]


Continue.. A Linear Decomposition Method to Analyze and Study Pulsar Mode Changes

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

Posted by dbos Peking

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

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

Posted by dbos Peking

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 […]


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

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

Posted by dbos Chicago

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

Mapping the merging zone of late infall in the AB Aur planet-forming system

Posted by dbos Peking

Kavli Affiliate: Ruobing Dong | First 5 Authors: Jessica Speedie, Ruobing Dong, Richard Teague, Dominique Segura-Cox, Jaime E. Pineda | Summary: Late infall events challenge the traditional view that planet formation occurs without external influence. Here we present deep ALMA $^{12}$CO $J=2-1$ and SO $J_{N}=5_6-4_5$ observations toward AB Aurigae, a Class II disk system with […]


Continue.. Mapping the merging zone of late infall in the AB Aur planet-forming system