1.3k citations
- Haverford CollegeUS14 papers
- Argonne National LaboratoryUS13 papers
- University of PennsylvaniaUS10 papers
- National Radio Astronomy ObservatoryUS9 papers
- Swinburne University of TechnologyAU9 papers
- University of California, BerkeleyUS9 papers
- University of Nebraska–LincolnUS9 papers
- Centre National de la Recherche ScientifiqueFR8 papers
- Columbia UniversityUS8 papers
- Fudan UniversityCN8 papers
- Johns Hopkins UniversityUS7 papers
- Massachusetts Institute of TechnologyUS7 papers
130 papers
Wrinkles in Time. II. Stellar Age Trends in Kinematic Signatures from Transient Spiral Structure
Amy Smock, Kathryne J. Daniel, Rayna Rampalli +4
Spiral arms in the disks of galaxies like the Milky Way can generate kinematic signatures, which appear as ridges or wrinkles in action space. Such signatures have proven difficult…
On the Effectiveness of Modular Testing in EvoSuite
Elizabeth Dinella
This paper explores the effectiveness of modular randomized testing for object oriented programs in Java. Modular testing involves testing individual components of a program in iso…
RubberDuckBench: A Benchmark for AI Coding Assistants
Ferida Mohammed, Fatma Ayad, Petros Maniatis +2
Programmers are turning to AI coding assistants to answer questions about their code. Benchmarks are needed to soundly evaluate these systems and understand their performance. To e…
PAH Marks the Spot: Digging for Buried Clusters in Nearby Star-forming Galaxies
Gabrielle B. Graham, Daniel A. Dale, Chase L. Smith +39
The joint capabilities of the Hubble Space Telescope (HST) and JWST allow for an unparalleled look at the early lives of star clusters at near- and mid-infrared wavelengths. We pre…
Neural Network identification of Dark Star Candidates. I. Photometry
Sayed Shafaat Mahmud, Adiba Amira Siddiqa, Cosmin Ilie
The formation of the first stars in the universe could be significantly impacted by the effects of Dark Matter (DM). Namely, if DM is in the form of Weakly Interacting Massive Part…
Beyond named methods: A typology of active learning based on classroom observation networks
Meagan Sundstrom, Justin Gambrell, Colin Green +2
A growing number of introductory physics instructors are implementing active learning methods in their classrooms, and they are modifying the methods to fit their local instruction…