Center for Data-Driven Discovery (CDDD)
The central focus of CD3 is the methodologies for handling and analysis of large and complex data sets, in facilitating the data-to-discovery process. It is about applications of data-driven computing in various scientific domains, such as biology, physics, astronomy, geophysics, etc. CD3 also serves as a catalyst for new collaborations and projects between different scientific disciplines, and between the campus and JPL. We are especially interested in the sharing and transfer of methodologies, where the solutions from one field can be reapplied in another one. At this time, we are not involved in the traditional high performance computing or hardware.
The scientific staff of the Center has an expertise that spans various aspects of computational science, and works on a collaborative basis with research groups on the campus and at JPL, in helping develop novel, exploratory projects, and in the execution of larger, funded projects that involve data-intensive computing. The Center also helps in the development of educational materials for training students in the research skills that are increasingly necessary for data-rich science in the 21st century.
We are a part of a joint initiative with the Center for Data Science and Technology at JPL.
combined from CaltechAUTHORS
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- Graham, Matthew J.; McKernan, Barry; et al. (2026) An extremely luminous flare recorded from a supermassive black hole; Nature Astronomy; Vol. 10; No. 1; 154-164; 10.1038/s41550-025-02699-0
- Kasliwal, Mansi M.; Ahumada, Tomás; et al. (2025) ZTF25abjmnps (AT2025ulz) and S250818k: A Candidate Superkilonova from a Subthreshold Subsolar Gravitational-wave Trigger; Astrophysical Journal Letters; Vol. 995; No. 2; L59; 10.3847/2041-8213/ae2000
- Johansson, Joel; Perley, Daniel A.; et al. (2025) Discovery of SN 2025wny: A Strongly Gravitationally Lensed Superluminous Supernova at z = 2.01; Astrophysical Journal Letters; Vol. 995; No. 1; L17; 10.3847/2041-8213/ae1d61
- Drake, A. J.; Djorgovski, S. G.; et al. (2025) Spectroscopic classification of extragalactic transients from CRTS; Monthly Notices of the Royal Astronomical Society; Vol. 544; No. 2; 1373-1389; 10.1093/mnras/staf1716
- Goode, Simon R; Webb, Sara A; et al. (2025) A Machine Learning empowered search for Sub-Minute Optical Transient Events with the Deeper, Wider, Faster programme; Monthly Notices of the Royal Astronomical Society; Vol. 543; No. 4; 3915-3928; 10.1093/mnras/staf1561
- Drake, A. J.; Djorgovski, S. G.; et al. (2025) Spectroscopic Classification of Extragalactic Transients from CRTS; Monthly Notices of the Royal Astronomical Society; staf1716; 10.1093/mnras/staf1716
- Raza, Nayyer; Chan, Man Leong; et al. (2025) GWSkyNet-Multi. II. An Updated Machine Learning Model for Rapid Classification of Gravitational-wave Events; Astrophysical Journal; Vol. 992; No. 1; 152; 10.3847/1538-4357/adfc58
- Nakoneczny, S. J.; Graham, M. J.; et al. (2025) QZO: A Catalog of 5 Million Quasars from the Zwicky Transient Facility; Astrophysical Journal; Vol. 992; No. 1; 153; 10.3847/1538-4357/adf4e4
- Li, Zhuofu (Chester); Chowdhury, Yasin A.; et al. (2025) Estimates of rotation periods for Jupiter Trojans with the Zwicky Transient Facility photometric lightcurves; Icarus; Vol. 438; 116609; 10.1016/j.icarus.2025.116609
- de la Parra, P. V.; Kiehlmann, S.; et al. (2025) PKS J0805-0111: A Second Owens Valley Radio Observatory Blazar Showing Highly Significant Sinusoidal Radio Variability—The Tip of the Iceberg; Astrophysical Journal; Vol. 987; No. 2; 191; 10.3847/1538-4357/addc60
- Hinds, K-Ryan; Perley, Daniel A.; et al. (2025) Inferring CSM Properties of Type II SNe Using a Magnitude-Limited ZTF Sample; Monthly Notices of the Royal Astronomical Society; Vol. 541; No. 1; 135-165; 10.1093/mnras/staf888
- Yao, Yuhan; Guolo, Muryel; et al. (2024) Subrelativistic Outflow and Hours-timescale Large-amplitude X-Ray Dips during Super-Eddington Accretion onto a Low-mass Massive Black Hole in the Tidal Disruption Event AT2022lri; Astrophysical Journal; Vol. 976; No. 1; 34; 10.3847/1538-4357/ad7d93
- Rehemtulla, Nabeel; Miller, Adam A.; et al. (2024) The Zwicky Transient Facility Bright Transient Survey. III. BTSbot: Automated Identification and Follow-up of Bright Transients with Deep Learning; Astrophysical Journal; Vol. 972; No. 1; 7; 10.3847/1538-4357/ad5666
- Coughlin, Michael W.; Bloom, Joshua S.; et al. (2023) A Data Science Platform to Enable Time-domain Astronomy; Astrophysical Journal Supplement Series; Vol. 267; No. 2; 31; 10.3847/1538-4365/acdee1