Publications

Publications ( NASA ADS, ORCID ORCID iD icon )

  1. Madigan, Zderic, McCourt, & Fleisig. “On the Dynamics of the Inclination Instability,” AJ (2018)
  2. Ji, Oh, & McCourt. “The impact of magnetic fields on thermal instability,” MNRAS (2018)
  3. Madigan, Halle, Moody, McCourt, et al.. “Dynamical Properties of Eccentric Nuclear Disks: Stability, Longevity, and Implications for Tidal Disruption Rates in Post-merger Galaxies,” ApJ (2018)
  4. McCourt, Oh, O’Leary, & Madigan. “A characteristic scale for cold gas,” MNRAS (2018)
  5. Gronke, Dijkstra, McCourt, & Oh. “Resonant line transfer in a fog: using Lyman-alpha to probe tiny structures in atomic gas,” A&A (2017)
  6. Fielding, Quataert, McCourt, & Thompson. “The impact of star formation feedback on the circumgalactic medium,” MNRAS (2017)
  7. Madigan, McCourt, & O’Leary. “Using gas clouds to probe the accretion flow around Sgr A*: G2’s delayed pericentre passage,” MNRAS (2017)
  8. Guillochon & McCourt. “Simulations of Magnetic Fields in Tidally Disrupted Stars,” ApJ (2017)
  9. Gronke, Dijkstra, McCourt, & Oh. “From Mirrors to Windows: Lyman-alpha Radiative Transfer in a Very Clumpy Medium,” ApJ (2016)
  10. Guillochon, McCourt, Chen, Johnson, et al.. “Unbound Debris Streams and Remnants Resulting from the Tidal Disruptions of Stars by Supermassive Black Holes,” ApJ (2016)
  11. Madigan & McCourt. “A new inclination instability reshapes Keplerian discs into cones: application to the outer Solar system,” MNRAS (2016)
  12. Lecoanet, McCourt, Quataert, Burns, et al.. “A validated non-linear Kelvin-Helmholtz benchmark for numerical hydrodynamics,” MNRAS (2016)
  13. McCourt & Madigan. “Going with the flow: using gas clouds to probe the accretion flow feeding Sgr A*,” MNRAS (2016)
  14. McCourt, O’Leary, Madigan, & Quataert. “Magnetized gas clouds can survive acceleration by a hot wind,” MNRAS (2015)
  15. McBride & McCourt. “Bent radio jets reveal a stripped interstellar medium in NGC 1272,” MNRAS (2014)
  16. Wagh, Sharma, & McCourt. “Thermal conduction and multiphase gas in cluster cores,” MNRAS (2014)
  17. McCourt, Quataert, & Parrish. “What sets temperature gradients in galaxy clusters? Implications for non-thermal pressure support and mass-observable scaling relations,” MNRAS (2013)
  18. Sharma, McCourt, Parrish, & Quataert. “On the structure of hot gas in haloes: implications for the L${X}$-T${X}$ relation and missing baryons,” MNRAS (2012)
  19. Parrish, McCourt, Quataert, & Sharma. “The effects of anisotropic viscosity on turbulence and heat transport in the intracluster medium,” MNRAS (2012)
  20. Sharma, McCourt, Quataert, & Parrish. “Thermal instability and the feedback regulation of hot haloes in clusters, groups and galaxies,” MNRAS (2012)
  21. McCourt, Sharma, Quataert, & Parrish. “Thermal instability in gravitationally stratified plasmas: implications for multiphase structure in clusters and galaxy haloes,” MNRAS (2012)
  22. Parrish, McCourt, Quataert, & Sharma. “Turbulent pressure support in the outer parts of galaxy clusters,” MNRAS (2012)
  23. McCourt, Parrish, Sharma, & Quataert. “Can conduction induce convection? On the non-linear saturation of buoyancy instabilities in dilute plasmas,” MNRAS (2011)
  24. Bradač, Schrabback, Erben, McCourt, et al.. “Dark Matter and Baryons in the X-Ray Luminous Merging Galaxy Cluster RX J1347.5-1145,” ApJ (2008)
  25. Samulon, Islam, Sebastian, Brooks, et al.. “Low-temperature structural phase transition and incommensurate lattice modulation in the spin-gap compound BaCuSi${2}$O${6}$,” Phys. Rev. B (2006)

Talks

  1. Invited Talk, What matter(s) around galaxies (June 2017)
  2. Lunch Talk, UC Santa Barbara (March 2017)
  3. Contributed Talk, Hubble Fellow Symposium (March 2017)
  4. Astronomy Colloquium, University of Washington (February 2017)
  5. MPS Seminar, UC Santa Cruz (October 2016)
  6. Invited Talk, Fellows at the Frontier Conference (September 2016)
  7. Invited Talk, Theory & Computation in the ICM (August 2016)
  8. Seminar, Cold Universe Workshop (June 2016)
  9. Astronomy Seminar, UCSB (April 2016)
  10. Lunch Talk, Harvard ITC (April 2015)
  11. Pizza Lunch, Harvard ITC (April 2015)
  12. Lunch Talk, UCSB (April 2015)
  13. Lunch Talk, UC Berkeley (March 2015)
  14. Contributed Talk, Black Holes in Dense Star Clusters (January 2015)
  15. Cosmology Seminar, Yale (September 2014)
  16. CIERA Astrophysics Seminar, Northwestern (September 2014)
  17. Lunch Talk, UC Berkeley (February 2014)
  18. TAPIR Seminar, Caltech (October 2013)
  19. KIPAC “Tea-Talk” Seminar, Stanford (October 2013)
  20. ITC Seminar, Harvard CfA (September 2013)
  21. Geo- and Astro-physical Fluid Dynamics Seminar, UCSC (April 2013)
  22. Invited Talk, SnowCluster conference (March 2013)
  23. Astrophysics Seminar, UCSB (October 2012)
  24. Theory Seminar, CITA (October 2012)
  25. Informal Astrophysics Seminar, Princeton IAS (October 2012)
  26. Invited Talk, Theory & Computation in the ICM (August 2012)
  27. KITP Theory Lunch talk, UCSB (April 2011)
  28. Contributed Talk, Theory & Computation in the ICM (August 2010)
  29. KIPAC “Tea-Talk” Seminar, Stanford (August 2006)

Patents

  1. Michael K. McCourt Jr., Automatic classification of phone calls using representation learning based on the hierarchical pitman-yor process. US12230253B2 Feb 18 2025
  2. Michael K. McCourt Jr., Kian Ghodoussi, and Victor Borda, Topic-based semantic search of electronic documents based on machine learning models from bayesian belief networks. US20240312451A1 (pending) Mar 17 2023
  3. Michael K. McCourt Jr. and Victor Borda, Pitman-Yor process topic modeling pre-seeded by keyword groupings. US11429901B1 Aug 30 2022
  4. Michael K. McCourt Jr. and Anoop Praturu, Generating training datasets for a supervised learning topic model from outputs of a discovery topic model. US11804216B2 Oct 31 2023
  5. Michael K. McCourt Jr. and Michael Lawrence, Detecting extraneous topic information using artificial intelligence models. US11521601B2 Dec 6 2022
  6. Michael K McCourt Jr., Sean Storlie, Victor Borda, Michael Lawrence, and Anoop Praturu, Signal discovery using artificial intelligence models. US11115520B2 Sep 7 2021
  7. Michael K. McCourt Jr., Binary signal classifiers that tolerate incorrect training data. US10719783B2 Jul 21 2020
  8. Michael K. McCourt Jr., Performance score determiner for binary signal classifiers. US11423330B2 Aug 23 2022
  9. Sean Storlie, Victor Borda, Michael K. McCourt Jr, Leland Kirchhoff, Colin Kelley, and Nicholas Burwell, Desired signal spotting in noisy, flawed environments. US10332546B1 Jun 25 2019