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  • Founded by Jim and Marilyn Simons, we’re a private philanthropy advancing mathematics and basic science.

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Bringing people and ideas together to fund, conduct, and share transformative science.

Our grants advance knowledge and strengthen connections between science and society.

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Founded by Jim and Marilyn Simons, we’re a private philanthropy advancing mathematics and basic science.

Work with us on the frontier of basic science research.

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The Flatiron Institute is a research center that uses computational science to advance fields like physics, biology, and astronomy.

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Featured

Dissecting mechanisms of hyperarousal in autism and related disorders using the Simons Sleep Project

Funded Work

Gravity Follows Newton’s and Einstein’s Rules, Even at Cosmic Scales

April 15, 2026

Scientists Capture Superconductivity’s ‘Dancing Pairs’ for First Time, Filling Gap in Decades-Old Theory

April 15, 2026

How SURFiN Fellowships Jump-Started These 3 Neuroscience Students’ STEM Careers

March 18, 2026

Results

  1. nifty-ls: Fast and Accurate Lomb–Scargle Periodograms Using a Non-uniform FFT

    Publication
    We present nifty-ls, a software package for fast and accurate evaluation of the Lomb–Scargle periodogram. nifty-ls leverages the fact that Lomb–Scargle can be computed …
  2. A Hierarchical Bayesian Framework for Inferring the Stellar Obliquity Distribution

    Publication
    Stellar obliquity, the angle between a planet's orbital axis and its host star's spin axis, traces the formation and evolution of a planetary system. In transiting …
  3. A Mirage or an Oasis? Water Vapor in the Atmosphere of the Warm Neptune TOI-674 b

    Publication
    We report observations of the recently discovered warm Neptune TOI-674 b (5.25 rearth{}, 23.6 mearth{}) with the Hubble Space Telescope's Wide Field Camera 3 …
  4. A Generative Model for Quasar Spectra

    Publication
    We build a multi-output generative model for quasar spectra and the properties of their black hole engines, based on a Gaussian process latent-variable model. This model …
  5. The 3D Galactocentric Velocities of Kepler Stars: Marginalizing Over Missing Radial Velocities

    Publication
    Precise Gaia measurements of positions, parallaxes, and proper motions provide an opportunity to calculate 3D positions and 2D velocities (i.e., 5D phase-space) of Milky Way stars …
  6. A Bayesian Population Model for the Observed Dust Attenuation in Galaxies

    Publication
    Dust plays a pivotal role in determining the observed spectral energy distribution (SED) of galaxies. Yet our understanding of dust attenuation is limited and our observations suffer from …
  7. Analytic Light Curves in Reflected Light: Phase Curves, Occultations, and Non-Lambertian Scattering for Spherical Planets and Moons

    Publication
    We derive efficient, closed-form, differentiable, and numerically stable solutions for the flux measured from a spherical planet or moon seen in reflected light, either in or out …
  8. An Aligned Orbit for the Young Planet V1298 Tau b

    Publication
    The alignment of planetary orbits with respect to the stellar rotation preserves information on their dynamical histories. Measuring this angle for young planets help illuminate the mechanisms that …
  9. A Fast, Two-dimensional Gaussian Process Method Based on Celerite: Applications to Transiting Exoplanet Discovery and Characterization

    Publication
    Gaussian processes (GPs) are commonly used as a model of stochastic variability in astrophysical time series. In particular, GPs are frequently employed to account for correlated stellar variability …
  10. A planet within the debris disk around the pre-main-sequence star AU Microscopii

    Publication
    AU Microscopii (AU Mic) is the second closest pre main sequence star, at a distance of 9.79 parsecs and with an age of 22 million years. AU …
  11. Analytic Planetary Transit Light Curves and Derivatives for Stars with Polynomial Limb Darkening

    Publication
    We derive analytic, closed-form solutions for the light curve of a planet transiting a star with a limb darkening profile which is a polynomial function of the …
  12. emcee v3: A Python ensemble sampling toolkit for affine-invariant MCMC

    Publication
  13. Wobble: a data-driven method for precision radial velocities

    Publication
    In recent years, dedicated extreme precision radial velocity (RV) spectrographs have produced vast quantities of high-resolution, high-signal-to-noise (S/N) time-series spectra for bright …
  14. Towards precise stellar ages: combining isochrone fitting with empirical gyrochronology

    Publication
  15. Astro2020 Science White Paper: The Next Decade of Astroinformatics and Astrostatistics

    Publication
    Over the past century, major advances in astronomy and astrophysics have been largely driven by improvements in instrumentation and data collection. With the amassing of high quality data …
  16. Wobble: a data-driven method for precision radial velocities

    Publication
    Extreme-precision radial velocity (EPRV) exoplanet surveys face considerable data analysis challenges in extracting maximally precise RVs from spectra. Chief among these, particularly for the upcoming generation of …
  17. Compact multi-planet systems are more common around metal poor hosts

    Publication
    In systems with detected planets, hot-Jupiters and compact systems of multiple planets are nearly mutually exclusive. We compare the relative occurrence of these two architectures as a …
  18. STARRY: Analytic Occultation Light Curves

    Publication
    We derive analytic, closed form, numerically stable solutions for the total flux received from a spherical planet, moon or star during an occultation if the specific intensity map …
  19. Inference of Stellar Parameters from Brightness Variations

    Publication
    It has been demonstrated that the time variability of a star's brightness at different frequencies can be used to infer its surface gravity, radius, mass, and age …
  20. A Robust Method to Measure Centroids of Spectral Lines

    Publication
    Measuring the centroid of a spectral line is a common problem in astronomy. Many methods have been devised to overcome limitations due to either noise in the spectra …
  21. A Robust Method to Measure Centroids of Spectral Lines

    Publication
    Measuring the centroid of a spectral line is a common problem in astronomy. Many methods have been devised to overcome limitations due to either noise in the spectra …
  22. An Update to the EVEREST K2 Pipeline: Short Cadence, Saturated Stars, and Kepler-like Photometry Down to Kp = 15

    Publication
    We present an update to the EVEREST K2 pipeline that addresses various limitations in the previous version and improves the photometric precision of the de-trended light curves …
  23. The orbital eccentricity of small planet systems

    Publication
    We determine the orbital eccentricities of individual small Kepler planets, through a combination of asteroseismology and transit light-curve analysis. We are able to constrain the eccentricities of …
  24. A Kinematical Detection of Two Embedded Jupiter Mass Planets in HD 163296

    Publication
    We present the first kinematical detection of embedded protoplanets within a protoplanetary disk. Using archival ALMA observations of HD 163296, we demonstrate a new technique to measure the …
  25. A Kinematical Detection of Two Embedded Jupiter Mass Planets in HD 163296

    Publication
    We present the first kinematical detection of embedded protoplanets within a protoplanetary disk. Using archival ALMA observations of HD 163296, we demonstrate a new technique to measure the …
  26. Inference of stellar parameters from brightness variations

    Publication
  27. Scalable backpropagation for Gaussian Processes using celerite

    Publication
  28. Linear models for systematics and nuisances

    Publication
    The target of many astronomical studies is the recovery of tiny astrophysical signals living in a sea of uninteresting (but usually dominant) noise. In many contexts (i.e …
  29. Data analysis recipes: Using Markov Chain Monte Carlo

    Publication
    Markov Chain Monte Carlo (MCMC) methods for sampling probability density functions (combined with abundant computational resources) have transformed the sciences, especially in performing probabilistic inferences, or fitting models …

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