The Center for Computational Astrophysics executes research programs on systems ranging in scales from planets to cosmology, creating and using computational tools for data analysis and theory. It also supports, trains, and equips diverse members of the global astrophysics community and convenes events and workshops in New York City.
Featured News
Center for Computational Astrophysics
Hyped Signal of Decaying Dark Matter Vanishes in Updated Analysis
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In 2014, scientists observed X-ray activity from distant galaxies that was thought to be the first evidence of dark matter decay — a landmark discovery that could significantly advance efforts to characterize this puzzling substance. However, a new study from the Flatiron Institute and collaborators suggests that imperfect analysis methods used to detect the activity — called the 3.5 keV line — likely produced a phantom signal.
Our Mission:
▪ Solve important, hard problems in computational astrophysics. Focus on problems that we at Flatiron are uniquely positioned to solve. ▪ Invent and propagate better data-analysis practices, analytical methods and computational methods for the global astrophysics community, with a focus on rigor. ▪ Develop, maintain and contribute to open-source software packages, open data and their communities. ▪ Create and support a community of astrophysics doers, learners and mentors in New York City and beyond. ▪ Train and launch diverse early-career researchers in astrophysics with unique capabilities in computational methods.
Groups
Collaborative Work
Learning the Universe
This collaboration, directed by Greg Bryan of Columbia University, aims to understand and determine the evolution and initial conditions of our universe, using observations via a Bayesian forward modeling approach.
- CCA
- | Columbia University
- | Lawrence Berkeley National Lab
- | Harvard University
- | Stockholm University
- | Institute D'Astrophysique de Paris
- | Université de Montreal
- | Princeton University
- | Carnegie Mellon University
- | Max-Planck Institute for Astrophysics
Upcoming Events
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22 Fri -
Colloquium 3:00 - 4:00 p.m.
CCA Colloquium: Vicky Kalogera
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Colloquium 3:00 - 4:00 p.m.
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09 Mon -
Conference 9:00 a.m. - 5:00 p.m.
Cosmology and galaxy astrophysics with simulations and machine learning 2024
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Conference 9:00 a.m. - 5:00 p.m.
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03 Mon -
Workshop
Particles vs. New Probes (P vs. NP)
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Workshop
Event Videos
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Tjitske Starkenburg – Unraveling Hierarchical Galaxy Formation: The Potential from Galaxy Stellar Halos Beyond Milky Way
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Anthony Mezzacappa – The Era of Precision Core Collapse Supernova Modeling
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Phil Hopkins: Connecting Stars, Galaxies, and Supermassive Black Holes: From AU to Mpc
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Keri Hoadley: Hidden in Plain Sight: How an Unexpected Ultraviolet DIscovery Led to the Reveal of a Unique Astrophysical Labratory
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Research Highlights
Fishing for Planets: A Comparative Analysis of EPRV Survey Performance in the Presence of Correlated Noise
A. Gupta, M. Bedell
With dedicated exoplanet surveys underway for multiple extreme-precision radial velocity (EPRV) instruments, the near-future prospects of RV exoplanet science are…
The Astronomical JournalQuaia, the Gaia-unWISE Quasar Catalog: An All-sky Spectroscopic Quasar Sample
Kate Storey-Fisher, D. Hogg, Hans-Walter Rix, Anna-Christina Eilers, Giulio Fabbian, Michael R. Blanton, David Alonso
We present a new, all-sky quasar catalog, Quaia, that samples the largest comoving volume of any existing spectroscopic quasar sample.…
The Astrophysical JournalA unified model for the co-evolution of galaxies and their circumgalactic medium: the relative roles of turbulence and atomic cooling physics
Viraj Pandya, D. Fielding, Greg L. Bryan, Christopher Carr, R. Somerville, Jonathan Stern, Claude-Andre Faucher-Giguere, Zachary Hafen, D. Angles-Alcazar, J. Forbes
The circumgalactic medium (CGM) plays a pivotal role in regulating gas flows around galaxies and thus shapes their evolution. However,…
arXiv:2211.09755Director
Software
Astrometry.net
If you have astronomical imaging of the sky with celestial coordinates you do not know—or do not trust—then Astrometry.net is for you. Input an image and we'll give you back astrometric calibration meta-data, plus lists of known objects falling inside the field of view.
celerite
celerite is a library for fast and scalable Gaussian Process (GP) Regression in one dimension with implementations in C++, Python, and Julia.
DAFT
Daft is a Python package that uses matplotlib to render pixel-perfect probabilistic graphical models for publication in a journal or on the internet.
emcee
emcee is an extensible, pure-Python implementation of Goodman & Weare's Affine Invariant Markov chain Monte Carlo (MCMC) Ensemble sampler. It's designed for Bayesian parameter estimation.
EXP
The EXP C++ library is an efficient N-body simulation toolkit that implements basis-function methods using hybrid CPU and GPU code alongside Python bindings.
Gala
Galactic Dynamics is the study of the formation, history, and evolution of galaxies using the orbits of objects — numerically-integrated trajectories of stars, dark matter particles, star clusters, or galaxies themselves.
George
George is a fast and flexible Python library for Gaussian Process Regression. It capitalizes on the Hierarchical Off-Diagonal Low-Rank formalism to make controlled approximations for fast execution.
MESA
MESA is a robust suite of open-source, robust, efficient, thread-safe libraries extensively used in computational stellar astrophysics.
Pyia
Pyia is a Python package for interacting and working with data from the Gaia Mission.
STARRY
starry enables the computation of fast and precise light curves for various applications in astronomy: transits and secondary eclipses of exoplanets, light curves of eclipsing binaries, rotational phase curves of exoplanets, light curves of planet-planet and planet-moon occultations, and more.