Publications (49)
Simulated 3D Ni Distributions of Type IIp Supernovae
David Vartanyan, Adam Burrows, Lizzy Teryoshin +4
We present the first three-dimensional study of the asymptotic ejecta distributions for a suite of theoretical Type IIp supernovae originating from red supergiant progenitors. We s…
Effects of Different Closure Choices in Core-Collapse Supernova Simulations
Tianshu Wang, Adam Burrows
The two-moment method is widely used to approximate the full neutrino transport equation in core-collapse supernova (CCSN) simulations, and different closures lead to subtle differ…
Channels of Stellar-mass Black Hole Formation
Adam Burrows, Tianshu Wang, David Vartanyan
On the basis of a large collection of detailed 3D core-collapse supernova simulations carried to late times, we identify four channels of stellar mass black hole formation. Our exa…
The Gravitational-Wave Signature of Core-Collapse Supernovae
David Vartanyan, Adam Burrows, Tianshu Wang +2
We calculate the gravitational-wave (GW) signatures of detailed 3D core-collapse supernova simulations spanning a range of massive stars. Most of the simulations are carried out to…
ARise: Towards Knowledge-Augmented Reasoning via Risk-Adaptive Search
Yize Zhang, Tianshu Wang, Sirui Chen +6
Large language models (LLMs) have demonstrated impressive capabilities and are receiving increasing attention to enhance their reasoning through scaling test--time compute. However…
OGLE-2015-BLG-1771Lb: A Microlens Planet Orbiting an Ultracool Dwarf?
Xiangyu Zhang, Weicheng Zang, Andrzej Udalski +31
We report the discovery and the analysis of the short (tE < 5 days) planetary microlensing event, OGLE-2015-BLG-1771. The event was discovered by the Optical Gravitational Lensing…
Ground-based parallax confirmed by Spitzer: binary microlensing event MOA-2015-BLG-020
Tianshu Wang, Wei Zhu, Shude Mao +83
We present the analysis of the binary gravitational microlensing event MOA-2015-BLG-020. The event has a fairly long timescale (about 63 days) and thus the light curve deviates sig…
Physical Correlations and Predictions Emerging from Modern Core-Collapse Supernova Theory
Adam Burrows, Tianshu Wang, David Vartanyan
In this paper, we derive correlations between core-collapse supernova observables and progenitor core structures that emerge from our suite of twenty state-of-the-art 3D core-colla…
A Generalized Kompaneets Formalism for Inelastic Neutrino-Nucleon Scattering in Supernova Simulations
Tianshu Wang, Adam Burrows
Based on the Kompaneets approximation, we develop a robust methodology to calculate spectral redistribution via inelastic neutrino-nucleon scattering in the context of core-collaps…
Insights into the Production of Ti and Nickel Isotopes in Core-Collapse Supernovae
Tianshu Wang, Adam Burrows
We report nucleosynthetic results for both Ti and nickel isotopes for eighteen three-dimensional (3D) core-collapse supernova (CCSN) simulations extended to 20 seconds…
An Exploration of the Equation of State Dependence of Core-Collapse Supernova Explosion Outcomes and Signatures
Aleksandr Rusakov, Adam S. Burrows, Tianshu Wang +1
We explore, using a state-of-the-art simulation code in 3D and to late enough times to witness final observables, the dependence of core-collapse supernova explosions on the nuclea…
OGLE-2018-BLG-0532Lb: Cold Neptune With Possible Jovian Sibling
Yoon-Hyun Ryu, Andrzej Udalski, Jennifer C. Yee +34
We report the discovery of the planet OGLE-2018-BLG-0532Lb, with very obvious signatures in the light curve that lead to an estimate of the planet-host mass ratio $q=M_{\rm planet}…
Neutral Gas within 20,000 Schwarzschild radii of Sagittarius A*
Elena M. Murchikova, Tianshu Wang, Brian Mason +1
Murchikova et al 2019 discovered a disk of cool ionized gas within 20,000 Schwarzschild radii of the Milky Way's Galactic Center black hole Sagittarius A*. They further demonstrate…
Rabia: Simplifying State-Machine Replication Through Randomization
Haochen Pan, Jesse Tuglu, Neo Zhou +6
We introduce Rabia, a simple and high performance framework for implementing state-machine replication (SMR) within a datacenter. The main innovation of Rabia is in using randomiza…
Effects of Rotation on 3D Core-Collapse Supernova Models for Low-Mass Progenitors
Adam Burrows, Tianshu Wang, David Vartanyan
We explore the dependence upon rotation rate alone of various supernova observables simulated to their saturation for the explosion of a 9- progenitor. We find that the…
Towards Universal Dense Blocking for Entity Resolution
Tianshu Wang, Hongyu Lin, Xianpei Han +3
Blocking is a critical step in entity resolution, and the emergence of neural network-based representation models has led to the development of dense blocking as a promising approa…
Systematic KMTNet Planetary Anomaly Search, Paper I: OGLE-2019-BLG-1053Lb, A Buried Terrestrial Planet
Weicheng Zang, Kyu-Ha Hwang, Andrzej Udalski +69
In order to exhume the buried signatures of "missing planetary caustics" in the KMTNet data, we conducted a systematic anomaly search to the residuals from point-source point-lens…
Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning
Xinyu Tang, Qianggang Cao, Yurou Liu +13
The paper introduces a training pipeline that scales zero‑reinforcement‑learning to a trillion‑parameter language model, revealing emergent chain‑of‑thought reasoning abilities and…
Ling and Ring 2.6 Technical Report: Efficient and Instant Agentic Intelligence at Trillion-Parameter Scale
Ang Li, Ben Liu, Bin Han +215
Efficient and scalable agentic intelligence requires models that can deliver both low-latency responses and strong reasoning capabilities while remaining practical to train, serve,…
Guidance Design for Escape Flight Vehicle Using Evolution Strategy Enhanced Deep Reinforcement Learning
Xiao Hu, Tianshu Wang, Min Gong +1
Guidance commands of flight vehicles are a series of data sets with fixed time intervals, thus guidance design constitutes a sequential decision problem and satisfies the basic con…
Spitzer Microlensing parallax reveals two isolated stars in the Galactic bulge
Weicheng Zang, Yossi Shvartzvald, Tianshu Wang +90
We report the mass and distance measurements of two single-lens events from the 2017 Spitzer microlensing campaign. The ground-based observations yield the detection of finite-sour…
Bridging the Gap between Reality and Ideality of Entity Matching: A Revisiting and Benchmark Re-Construction
Tianshu Wang, Hongyu Lin, Cheng Fu +6
Entity matching (EM) is the most critical step for entity resolution (ER). While current deep learningbased methods achieve very impressive performance on standard EM benchmarks, t…
Kmt-2016-blg-1397b: Kmtnet-only discovery of a microlens giant planet
Weicheng Zang, Kyu-Ha Hwang, Hyoun-Woo Kim +20
We report the discovery of a giant planet in the KMT-2016-BLG-1397 microlensing event, which was found by The Korea Microlensing Telescope Network (KMTNet) alone. The time scale of…
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
Yuyang Ye, Zhi Zheng, Yishan Shen +6
Recent advances in Large Language Models (LLMs) have demonstrated significant potential in the field of Recommendation Systems (RSs). Most existing studies have focused on converti…
Match, Compare, or Select? An Investigation of Large Language Models for Entity Matching
Tianshu Wang, Xiaoyang Chen, Hongyu Lin +5
Entity matching (EM) is a critical step in entity resolution (ER). Recently, entity matching based on large language models (LLMs) has shown great promise. However, current LLM-bas…
OGLE-2017-BLG-1186: first application of asteroseismology and Gaussian processes to microlensing
Shun-Sheng Li, Weicheng Zang, Andrzej Udalski +102
We present the analysis of the event OGLE-2017-BLG-1186 from the 2017 Spitzer microlensing campaign. This is a remarkable microlensing event because its source is photometrically b…
Retentive or Forgetful? Diving into the Knowledge Memorizing Mechanism of Language Models
Boxi Cao, Qiaoyu Tang, Hongyu Lin +6
Memory is one of the most essential cognitive functions serving as a repository of world knowledge and episodes of activities. In recent years, large-scale pre-trained language mod…
The Effect of the Collisional Flavor Instability on Core-Collapse Supernova Models
Tianshu Wang, Hiroki Nagakura, Lucas Johns +1
We explore the effects of the neutrino collisional flavor instability (CFI) based on 1D and 2D core-collapse supernova (CCSN) simulations done using the sophisticated radiation-hyd…
Nucleosynthetic Analysis of Three-Dimensional Core-Collapse Supernova Simulations
Tianshu Wang, Adam Burrows
We study in detail the ejecta conditions and theoretical nucleosynthetic results for 18 three-dimensional core-collapse supernova (CCSN) simulations done by F{\sc ornax}. {Most sim…
DBCopilot: Natural Language Querying over Massive Databases via Schema Routing
Tianshu Wang, Xiaoyang Chen, Hongyu Lin +4
The development of Natural Language Interfaces to Databases (NLIDBs) has been greatly advanced by the advent of large language models (LLMs), which provide an intuitive way to tran…
A 3D Simulation of a Type II-P Supernova: from Core Bounce to Beyond Shock Breakout
David Vartanyan, Benny T. H. Tsang, Daniel Kasen +3
In order to better connect core-collapse supernovae (CCSN) theory with its observational signatures, we have developed a simulation pipeline from the onset of core collapse to beyo…
The Meta-Agent Challenge: Are Current Agents Capable of Autonomous Agent Development?
Xinyu Lu, Tianshu Wang, Pengbo Wang +8
Current AI benchmarks evaluate agents on task execution within human-designed workflows. These evaluations fundamentally fail to measure a critical next-level capability: whether m…
URL: Universal Referential Knowledge Linking via Task-instructed Representation Compression
Zhuoqun Li, Hongyu Lin, Tianshu Wang +7
Linking a claim to grounded references is a critical ability to fulfill human demands for authentic and reliable information. Current studies are limited to specific tasks like inf…
Supernova Explosions of the Lowest-Mass Massive Star Progenitors
Tianshu Wang, Adam Burrows
We here focus on the behavior of supernovae that technically explode in 1D (spherical symmetry). When simulated in 3D, however, the outcomes of representative progenitors of this c…
Neutrino-Driven Winds in Three-Dimensional Core-Collapse Supernova Simulations
Tianshu Wang, Adam Burrows
In this paper, we analyze the neutrino-driven winds that emerge in twelve unprecedentedly long-duration 3D core-collapse supernova simulations done using the code Fornax. The twelv…
KMT-2016-BLG-1836Lb: A Super-Jovian Planet From A High-Cadence Microlensing Field
Hongjing Yang, Xiangyu Zhang, Kyu-Ha Hwang +24
We report the discovery of a super-Jovian planet in the microlensing event KMT-2016-BLG-1836, which was found by the Korea Microlensing Telescope Network's high-cadence observation…
OGLE-2017-BLG-1130: The First Binary Gravitational Microlens Detected From Spitzer Only
Tianshu Wang, S. Calchi Novati, A. Udalski +36
We analyze the binary gravitational microlensing event OGLE-2017-BLG-1130 (mass ratio q~0.45), the first published case in which the binary anomaly was only detected by the Spitzer…
The Effect of the Fast-Flavor Instability on Core-Collapse Supernova Models: II. Quasi-Equipartition and the Impact of Various Angular Reconstruction Methods
Tianshu Wang, Adam Burrows
In this work, we explore in a consistent fashion the effects of fast flavor conversion (FFC) in 1D and 2D core-collapse supernova (CCSN) simulations. In addition, we investigate th…
A Theory for Neutron Star and Black Hole Kicks and Induced Spins
Adam Burrows, Tianshu Wang, David Vartanyan +1
Using twenty long-term 3D core-collapse supernova simulations, we find that lower compactness progenitors that explode quasi-spherically due to the short delay to explosion experie…
KMT-2017-BLG-0165Lb: A Super-Neptune mass planet Orbiting a Sun-like Host Star
Youn Kil Jung, Andrew Gould, Weicheng Zang +22
We report the discovery of a low mass-ratio planet , i.e., 2.5 times higher than the Neptune/Sun ratio. The planetary system was discovered from the analysi…
SearchSwarm: Towards Delegation Intelligence in Agentic LLMs for Long-Horizon Deep Research
Pu Ning, Quan Chen, Kun Tao +7
Large language models are increasingly expected to handle complex, long-horizon real-world tasks whose context demands can grow without bound, yet model context windows remain inhe…
Spiral of Silence: How is Large Language Model Killing Information Retrieval? -- A Case Study on Open Domain Question Answering
Xiaoyang Chen, Ben He, Hongyu Lin +5
The practice of Retrieval-Augmented Generation (RAG), which integrates Large Language Models (LLMs) with retrieval systems, has become increasingly prevalent. However, the repercus…
Black-Hole Formation Accompanied by the Supernova Explosion of a 40-M Progenitor Star
Adam Burrows, David Vartanyan, Tianshu Wang
We have simulated the collapse and evolution of the core of a solar-metallicity 40-M star and find that it explodes vigorously by the neutrino mechanism. This despite its…
The Effect of the Fast-Flavor Instability on Core-Collapse Supernova Models
Tianshu Wang, Adam Burrows
Merging our supernova code F{\sc{ornax}} with the Box3D fast-flavor neutrino oscillation formalism, we explore the effects of fast-flavor conversion (FFC) in state-of-the-art 1D an…
Measurement of Source Star Colors with the K2C9-CFHT Multi-color Microlensing Survey
Weicheng Zang, Matthew T Penny, Wei Zhu +8
K2 Campaign 9 (K2C9) was the first space-based microlensing parallax survey capable of measuring microlensing parallaxes of free-floating planet candidate microlensing events. Simu…
Light Curve Calculations for Triple Microlensing Systems
Renkun Kuang, Shude Mao, Tianshu Wang +2
We present a method to compute the magnification of a finite source star lensed by a triple lens system based on the image boundary (contour integration) method. We describe a new…
OGLE-2018-BLG-1011L\lowercase{b,c}: Microlensing Planetary System with Two Giant Planets Orbiting a Low-mass Star
Cheongho Han, David P. Bennett, Andrzej Udalski +70
We report a multiplanetary system found from the analysis of microlensing event OGLE-2018-BLG-1011, for which the light curve exhibits a double-bump anomaly around the peak. We fin…
The Essential Character of the Neutrino Mechanism of Core-Collapse Supernova Explosions
Tianshu Wang, David Vartanyan, Adam Burrows +1
Calibrating with detailed 2D core-collapse supernova simulations, we derive a simple core-collapse supernova explosion condition based solely upon the terminal density profiles of…
Graph Neural Network-based Resource Allocation Strategies for Multi-Object Spectroscopy
Tianshu Wang, Peter Melchior
Resource allocation problems are often approached with linear programming techniques. But many concrete allocation problems in the experimental and observational sciences cannot or…