209 citations · 527 across the 7 of their papers we have counts for
7 papers
Segmentation of turbulent computational fluid dynamics simulations with unsupervised ensemble learning
Maarja Bussov, Joonas Nättilä
Computer vision and machine learning tools offer an exciting new way for automatically analyzing and categorizing information from complex computer simulations. Here we design an e…
Coherent Electromagnetic Emission from Relativistic Magnetized Shocks
Lorenzo Sironi, Illya Plotnikov, Joonas Nättilä +1
Relativistic magnetized shocks are a natural source of coherent emission, offering a plausible radiative mechanism for Fast Radio Bursts (FRBs). We present first-principles 3D simu…
Pulsar wind-heated accretion disk and the origin of modes in transitional millisecond pulsar PSR J1023+0038
Alexandra Veledina, Joonas Nättilä, Andrei M. Beloborodov
Transitional millisecond pulsars provide a unique set of observational data for understanding accretion at low rates onto magnetized neutron stars. In particular, PSR~J1023+0038 ex…
Exploring helical dynamos with machine learning
Farrukh Nauman, Joonas Nättilä
We use ensemble machine learning algorithms to study the evolution of magnetic fields in magnetohydrodynamic (MHD) turbulence that is helically forced. We perform direct numerical…
Neutron star mass and radius measurements from atmospheric model fits to X-ray burst cooling tail spectra
J. Nättilä, M. C. Miller, A. W. Steiner +3
Observations of thermonuclear X-ray bursts from accreting neutron stars (NSs) in low-mass X-ray binary systems can be used to constrain NS masses and radii. Most previous work of t…
Variable spreading layer in 4U 1608-52 during thermonuclear X-ray bursts in the soft state
J. J. E. Kajava, K. I. I. Koljonen, J. Nättilä +2
Thermonuclear (type-I) X-ray bursts, observed from neutron star (NS) low-mass X-ray binaries (LMXB), provide constraints on NS masses and radii and consequently the equation of sta…