• Publications
  • Influence
Probabilistic Random Forest: A machine learning algorithm for noisy datasets
TLDR
Apart from improving the prediction accuracy in noisy data sets, the PRF naturally copes with missing values in the data, and outperforms RF when applied to a data set with different noise characteristics in the training and test sets, suggesting that it can be used for transfer learning.
The subtlety of Ly α photons: changing the expected range of the 21-cm signal
We present the evolution of the 21-cm signal from cosmic dawn and the epoch of reionization (EoR) in an upgraded model including three subtle effects of Ly α radiation: Ly α heating, CMB heating
Detecting outliers and learning complex structures with large spectroscopic surveys - a case study with APOGEE stars
In this work we apply and expand on a recently introduced outlier detection algorithm that is based on an unsupervised random forest. We use the algorithm to calculate a similarity measure for
Self-organized topological state in a magnetic chain on the surface of a superconductor
Electronic states associated with a chain of magnetic adatoms on the surface of an ordinary s- wave superconductor have been shown theoretically to form a one dimensional topological phase with
HERA Phase I Limits on the Cosmic 21 cm Signal: Constraints on Astrophysics and Cosmology during the Epoch of Reionization
Recently, the Hydrogen Epoch of Reionization Array (HERA) has produced the experiment’s first upper limits on the power spectrum of 21 cm fluctuations at z ∼ 8 and 10. Here, we use several
Shot noise and scatter in the star formation efficiency as a source of 21-cm fluctuations
The 21-cm signal from cosmic dawn and the epoch of reionization (EoR) probes the characteristics of the high redshift galaxy population. Many of the astrophysical properties of galaxies at high
Redshifted broad absorption line quasars found via machine-learned spectral similarity
We report the discovery of 31 new redshifted broad absorption line quasars (RSBALs) from the Sloan Digital Sky Survey (SDSS). The number of previously known such objects is 19. The identification of
High-redshift radio galaxies: a potential new source of 21-cm fluctuations
Radio sources are expected to have formed at high redshifts, producing an excess radiation background above the cosmic microwave background (CMB) at low frequencies. Their effect on the redshifted
Effect of the cosmological transition to metal-enriched star-formation on the hydrogen 21-cm signal
Mapping Cosmic Dawn with 21-cm tomography offers an exciting new window into the era of primordial star formation. However, self-consistent implementation of both the process of star formation and
...
...