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    Astronomical Data Developing advanced methods and tools for building probabilistic models, discovering sources in noisy data and making precise measurements.

    Cosmology Melding cutting-edge machine learning and data science techniques with profound cosmological inquiries.

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Flatiron Institute Computational Astrophysics

Computational Astrophysics: Publications

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  1. A Hybrid Deep Learning Approach to Cosmological Constraints From Galaxy Redshift Surveys

    APJ, arXiv:1909.10527, February 3, 2020

    Michelle Ntampaka, Daniel J. Eisenstein, Sihan Yuan, and L. Garrison

  2. An image of the dust sublimation region in the nucleus of NGC 1068

    AA, arXiv:1912.01361, January 28, 2020

    GRAVITY Collaboration, et al.

  3. A self-consistent method to estimate the rate of compact binary coalescences with a Poisson mixture model

    CQG, arXiv:1903.06881, January 16, 2020

    Shasvath J. Kapadia, et al.

  4. Automatic Contraction of Unstructured Tensor Networks

    SciPost Physics, arXiv:1709.03080, January 15, 2020

    A. Jermyn

  5. A balanced state consistent with planetary-scale motion for quasi-geostrophic dynamics

    Tellus A: Dynamic Meteorology and Oceanography, 2020

    Woosok Moon and J. Cho

  6. BE-HaPPY: bias emulator for halo power spectrum including massive neutrinos

    JCAP, arXiv:1901.06045, December 18, 2019

    David Valcin, F. Villaescusa-Navarro, Licia Verde, and Alvise Raccanelli

  7. A dynamical systems description of privilege, power and leadership in academia

    NATA, arXiv:1912.06605, December 6, 2019

    K. Johnston

  8. But what about...: cosmic rays, magnetic fields, conduction, and viscosity in galaxy formation

    MNRAS, arXiv:1905.04321, December 5, 2019

    Philip F. Hopkins, et al.

  9. Are inner disc misalignments common? ALMA reveals an isotropic outer disc inclination distribution for young dipper stars

    MNRAS, arXiv:1912.01610, December 2, 2019

    M. Ansdell, et al.

  10. Chemical Abundances in a Turbulent Medium–H2, OH+, H2O+, ArH+

    APJ, arXiv:1909.12305, November 6, 2019

    Shmuel Bialy, David Neufeld, Mark Wolfire, A. Sternberg, and B. Burkart

  11. Beyond two-point statistics: using the minimum spanning tree as a tool for cosmology

    MNRAS, arXiv:1907.00989, November 4, 2019

    Krishna Naidoo, et al.

  12. A pulsar-based timescale from the International Pulsar Timing Array

    MNRAS, arXiv:1910.13628, November 4, 2019

    G. Hobbs, et al.

  13. Astrometry with the Wide-Field InfraRed Space Telescope

    JATIS, arXiv:1712.05420, October 29, 2019

    R. Sanderson, et al.

  14. COMPASO: A new halo finder for competitive assignment to spherical overdensities

    Monthly Notices of the Royal Astronomical Society, arXiv:2110.11408, October 19, 2019

    Boryana Hadzhiyska, Daniel Eisenstein, Sownak Bose, L. Garrison, and Nina Maksimova

  15. A Markov Model for Non-lognormal Density Distributions in Compressive Isothermal Turbulence

    APJL, arXiv:1908.00544, October 14, 2019

    Philip Mocz and B. Burkart

  16. Beyond second-order convergence in simulations of magnetised binary neutron stars with realistic microphysics

    MNRAS, arXiv:1907.10328, October 10, 2019

    E. Most, L. Jens Papenfort, and Luciano Rezzolla

  17. A Future Percent-level Measurement of the Hubble Expansion at Redshift 0.8 with Advanced LIGO

    APJL, arXiv:1908.09084, October 1, 2019

    W. Farr, Maya Fishbach, Jiani Ye, and Daniel Holz

  18. Hierarchical test of general relativity with gravitational waves

    PRL, arXiv:1904.08011, September 16, 2019

    M. Isi, K. Chatziioannou, and W. Farr

  19. Binary Black Hole Population Properties Inferred from the First and Second Observing Runs of Advanced LIGO and Advanced Virgo

    APJL, arXiv:1811.12940, September 9, 2019

    The LIGO Scientific Collaboration, the Virgo Collaboration, et al.

  20. Search for the isotropic stochastic background using data from Advanced LIGO's second observing run

    PRD, arXiv:1903.02886, September 4, 2019

    The LIGO Scientific Collaboration, the Virgo Collaboration, et al.

  21. A study of stellar orbit fractions: simulated IllustrisTNG galaxies compared to CALIFA observations

    MNRAS, arXiv:1905.11415, August 19, 2019

    Dandan Xu, et al.

  22. New regimes in the observation of core-collapse supernovae

    Nature Astronomy, August 7, 2019

    M. Modjaz, CP Gutiérrez, and I Arcavi

  23. CMB-S4 Decadal Survey APC White Paper

    arXiv:1908.01062, 2019

    Kevork Abazajian, et al.

  24. CMB Spectral Distortions: Status and Prospects

    arXiv:1907.13195, 2019

    A. Kogut, et al.

  25. In the Galactic disk, stellar [Fe/H] and age predict orbits and precise [X/Fe]

    arXiv:1907.10606, July 24, 2019

    M. Ness, K. Johnston, K Blancato, HW Rix, A Beane, and JC Bird

  26. The Simons Observatory: Astro2020 Decadal Project Whitepaper

    arXiv:1907.08284, 2019

    The Simons Observatory Collaboration, et al.

  27. All-sky search for short gravitational-wave bursts in the second Advanced LIGO and Advanced Virgo run

    PRD, arXiv:1905.03457, July 11, 2019

    The LIGO Scientific Collaboration, the Virgo Collaboration, et al.

  28. Bayesian delensing of CMB temperature and polarization

    PRD, arXiv:1708.06753, July 10, 2019

    Marius Millea, Ethan Anderes, and B. Wandelt

  29. CMB-S4 Science Case, Reference Design, and Project Plan

    arXiv:1907.04473, July 10, 2019

    Kevork Abazajian, et al.

  30. A better consensus: Changes to the Decadal process itself

    arXiv:1907.04867, 2019

    D. Hogg and David Schiminovich

  31. Astro2020: Training the Future Generation of Computational Researchers

    arXiv:1907.04460, 2019

    Gurtina Besla, et al.

  32. All-sky search for continuous gravitational waves from isolated neutron stars using Advanced LIGO O2 data

    https://journals.aps.org/prd/abstract/10.1103/PhysRevD.100.024004, arXiv:1903.01901, July 8, 2019

    The LIGO Scientific Collaboration, the Virgo Collaboration, et al.

  33. Applying Liouville's Theorem to Gaia Data

    arXiv:1907.00987, 2019

    Matthew R. Buckley, D. Hogg, and A. Price-Whelan

  34. CMB-HD: An Ultra-Deep, High-Resolution Millimeter-Wave Survey Over Half the Sky

    arXiv:1906.10134, 2019

    Neelima Sehgal, et al.

  35. AGN-driven quenching of satellite galaxies

    MNRAS, arXiv:1906.07431, June 28, 2019

    Gohar Dashyan, Ena Choi, R. Somerville, Thorsten Naab, Amanda C. N. Quirk, Michaela Hirschmann, et al.

  36. Circumgalactic Pressure Profiles Indicate Precipitation-limited Atmospheres for M* ∼ 109–1011.5 M⊙

    APJL, arXiv:1903.00084, June 25, 2019

    G. M. Voit, et al.

  37. Black hole – Galaxy correlations in SIMBA

    MNRAS, arXiv:1905.02741, June 20, 2019

    Nicole Thomas, Romeel Davé, D. Angles-Alcazar, and Matt Jarvis

  38. CMB foreground measurements through broad-band radio spectro-polarimetry: prospects of the SKA-MPG telescope

    MNRAS, arXiv:1906.04788, June 20, 2019

    Aritra Basu, et al.

  39. Black holes, gravitational waves and fundamental physics: a roadmap

    CQG, arXiv:1806.05195, June 19, 2019

    Leor Barack, et al.

  40. Bayesian hierarchical inference of asteroseismic inclination angles

    MNRAS, arXiv:1907.01565, June 19, 2019

    James S. Kuszlewicz, et al.

  41. Detecting Thin Stellar Streams in External Galaxies: Resolved Stars & Integrated Light

    arXiv.:1906.03264, June 7, 2019

    S. Pearson, T. Starkenburg, K. Johnston, BF Williams, and RA Ibata

  42. The Galactic Midplane Is Not a Plane: Implications for Dynamical Analysis with Gaia Data and Beyond

    arXiv:1905.08803, May 21, 2019

    A Beane, R. Sanderson, M. Ness, K. Johnston, DG Filho, M. Mac Low, et al.

  43. A geometric distance measurement to the Galactic center black hole with 0.3% uncertainty

    Astronomy & Astrophysics, arXiv:1904.05721, May 20, 2019

    The GRAVITY Collaboration, et al.

  44. Atomic and molecular gas in IllustrisTNG galaxies at low redshift

    MNRAS, arXiv:1902.10714, May 14, 2019

    Benedikt Diemer, et al.

  45. All-sky search for long-duration gravitational-wave transients in the second Advanced LIGO observing run

    PRD, arXiv:1903.12015, May 14, 2019

    The LIGO Scientific Collaboration, the Virgo Collaboration, et al.

  46. Alignment between filaments and galaxy spins from the MaNGA integral-field survey

    APJ, arXiv:1902.09797, May 1, 2019

    Alex Krolewski, et al.

  47. A Simple Non-equilibrium Feedback Model for Galaxy-Scale Star Formation: Delayed Feedback and SFR Scatter

    MNRAS, arXiv:1810.09460, April 27, 2019

    Matthew E. Orr, C. Hayward, and Philip F. Hopkins

  48. Astrophysical Tests of Dark Matter with Maunakea Spectroscopic Explorer

    arXiv:1903.03155, 2019

    Ting S. Li, et al.

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