no code implementations • 3 Jan 2024 • Ernest Perkowski, Rui Pan, Tuan Dung Nguyen, Yuan-Sen Ting, Sandor Kruk, Tong Zhang, Charlie O'Neill, Maja Jablonska, Zechang Sun, Michael J. Smith, Huiling Liu, Kevin Schawinski, Kartheik Iyer, Ioana Ciucă for UniverseTBD
We explore the potential of enhancing LLM performance in astronomy-focused question-answering through targeted, continual pre-training.
1 code implementation • 28 Sep 2023 • Jia-Shu Pan, Yuan-Sen Ting, Jie Yu
Notably, the error remains under 3% for 30-day light curves, whose oscillations are undetectable by a conventional pipeline in 30% cases.
no code implementations • 12 Sep 2023 • Tuan Dung Nguyen, Yuan-Sen Ting, Ioana Ciucă, Charlie O'Neill, Ze-Chang Sun, Maja Jabłońska, Sandor Kruk, Ernest Perkowski, Jack Miller, Jason Li, Josh Peek, Kartheik Iyer, Tomasz Różański, Pranav Khetarpal, Sharaf Zaman, David Brodrick, Sergio J. Rodríguez Méndez, Thang Bui, Alyssa Goodman, Alberto Accomazzi, Jill Naiman, Jesse Cranney, Kevin Schawinski, UniverseTBD
Large language models excel in many human-language tasks but often falter in highly specialized domains like scholarly astronomy.
no code implementations • 26 Aug 2023 • Charles O'Neill, Jack Miller, Ioana Ciuca, Yuan-Sen Ting, Thang Bui
The performance of our approach is evaluated through classification accuracy on a dataset consisting of problematic prompts not detected by GPT-4, as well as a selection of contentious but unproblematic prompts.
no code implementations • 15 Aug 2023 • Charles O'Neill, Yuan-Sen Ting, Ioana Ciuca, Jack Miller, Thang Bui
Large Language Models (LLMs) hold immense potential to generate synthetic data of high quality and utility, which has numerous applications from downstream model training to practical data utilisation.
no code implementations • 20 Jun 2023 • Ioana Ciucă, Yuan-Sen Ting, Sandor Kruk, Kartheik Iyer
This study investigates the application of Large Language Models (LLMs), specifically GPT-4, within Astronomy.
no code implementations • 12 Apr 2023 • Ioana Ciucă, Yuan-Sen Ting
We demonstrate the potential of the state-of-the-art OpenAI GPT-4 large language model to engage in meaningful interactions with Astronomy papers using in-context prompting.
no code implementations • 6 Jul 2022 • Jiashu Pan, Yuan-Sen Ting, Jie Yu
We introduce Astroconformer, a Transformer-based model to analyze stellar light curves from the Kepler mission.
no code implementations • 30 Jun 2021 • Sankalp Gilda, Stark C. Draper, Sebastien Fabbro, William Mahoney, Simon Prunet, Kanoa Withington, Matthew Wilson, Yuan-Sen Ting, Andrew Sheinis
We leverage epistemic and aleatoric uncertainties in conjunction with probabilistic generative modeling to identify candidate vent adjustments that are in-distribution (ID); for the optimal configuration for each ID sample, we predict the reduction in required observing time to achieve a fixed SNR.
no code implementations • 9 Feb 2021 • Yuan-Sen Ting, David H. Weinberg
Our results demonstrate that cross-element correlations are a much more sensitive probe of hidden structure than dispersion, and they can be measured precisely in a large sample even if star-by-star measurement noise is comparable to the intrinsic scatter.
Astrophysics of Galaxies Solar and Stellar Astrophysics
no code implementations • 22 Dec 2020 • Tomaž Zwitter, Janez Kos, Sven Buder, Klemen Čotar, Martin Asplund, Joss Bland-Hawthorn, Andrew R. Casey, Gayandhi M. De Silva, Valentina D'Orazi, Kenneth C. Freeman, Michael R. Hayden, Geraint F. Lewis, Jane Lin, Karin Lind, Sarah L. Martell, Katharine J. Schlesinger, Sanjib Sharma, Jeffrey D. Simpson, Dennis Stello, Daniel B. Zucker, Kevin L. Beeson, Richard de Grijs, Thomas Nordlander, Yuan-Sen Ting, Gregor Traven, Fred Watson, Rob Wittenmyer
GALAH+ is a magnitude-limited survey of high resolution stellar spectra obtained by the HERMES spectrograph at the Australian Astronomical Observatory.
Solar and Stellar Astrophysics Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
1 code implementation • 4 Nov 2020 • Sven Buder, Sanjib Sharma, Janez Kos, Anish M. Amarsi, Thomas Nordlander, Karin Lind, Sarah L. Martell, Martin Asplund, Joss Bland-Hawthorn, Andrew R. Casey, Gayandhi M. De Silva, Valentina D'Orazi, Ken C. Freeman, Michael R. Hayden, Geraint F. Lewis, Jane Lin, Katharine. J. Schlesinger, Jeffrey D. Simpson, Dennis Stello, Daniel B. Zucker, Tomaz Zwitter, Kevin L. Beeson, Tobias Buck, Luca Casagrande, Jake T. Clark, Klemen Cotar, Gary S. Da Costa, Richard de Grijs, Diane Feuillet, Jonathan Horner, Shourya Khanna, Prajwal R. Kafle, Fan Liu, Benjamin T. Montet, Govind Nandakumar, David M. Nataf, Melissa K. Ness, Lorenzo Spina, Gregor Traven, Thor Trepper-Garcia, Yuan-Sen Ting, Rok Vogrincic, Robert A. Wittenmyer, Marusa Zerjal, the GALAH collaboration
Based on kinematics, 4% are halo stars.
Astrophysics of Galaxies Solar and Stellar Astrophysics
no code implementations • 6 Oct 2020 • Hsiang-Chih Hwang, Yuan-Sen Ting, Kevin C. Schlaufman, Nadia L. Zakamska, Rosemary F. G. Wyse
The negative metallicity correlation at [Fe/H]$>0$ can be inherited from the similar metallicity dependence of close binaries, and radial migration may play a role in enhancing the wide-binary fraction around the solar metallicity.
Solar and Stellar Astrophysics Astrophysics of Galaxies
no code implementations • 28 Jul 2020 • Benjamin D. Johnson, Charlie Conroy, Rohan P. Naidu, Ana Bonaca, Dennis Zaritsky, Yuan-Sen Ting, Phillip A. Cargile, Jiwon Jesse Han, Joshua S. Speagle
We speculate that this kinematically diffuse, low metallicity, population is the stellar halo of the Sagittarius progenitor system.
Astrophysics of Galaxies
no code implementations • 6 Jul 2020 • Teaghan O'Briain, Yuan-Sen Ting, Sébastien Fabbro, Kwang M. Yi, Kim Venn, Spencer Bialek
We discuss how to achieve mapping from large sets of imperfect simulations and observational data with unsupervised domain adaptation.
1 code implementation • 6 Jul 2020 • Teaghan O'Briain, Yuan-Sen Ting, Sébastien Fabbro, Kwang M. Yi, Kim Venn, Spencer Bialek
To accomplish this, synthetic models are morphed into spectra that resemble observations, thereby reducing the gap between theory and observations.
2 code implementations • 4 Apr 2018 • Yuan-Sen Ting, Charlie Conroy, Hans-Walter Rix, Phillip Cargile
We present The Payne, a general method for the precise and simultaneous determination of numerous stellar labels from observed spectra, based on fitting physical spectral models.
Solar and Stellar Astrophysics Astrophysics of Galaxies