Research Projects

Mining intergalactic Medium: detecting and analyzing absorption lines in the spectra of quasars, with a probabilistic approach using supervised machine learning.

Quasars: analyzing the properties of a small group of extremely red quasars, using unsupervised machine learning.

Radio Pulsars: investigating the pulse profiles of radio pulsars by combining a variety of complexity measures.

Publications

  1. PRIYA: a new suite of Lyman-alpha forest simulations for cosmology, Bird, Simeon; Fernandez, Martin; Ho, Ming-Feng; Qezlou, Mahdi; Monadi, Reza; Ni, Yueying; Chen, Nianyi; Croft, Rupert; Di Matteo, Tiziana, Journal of Cosmology and Astroparticle Physic (2023) (adsabs)
  2. Machine learning uncovers the universe's hidden gems: A comprehensive catalogue of C IV absorption lines in SDSS DR12, Monadi, Reza; Ho, Ming-Feng; Cooksey, Kathy L.; Bird, Simeon, Monthly Notices of the Royal Astronomical Society (2023) (adsabs)
  3. Improved selection of extremely red quasars with boxy CIV lines, Reza Monadi, Simeon Bird, Monthly Notices of the Royal Astronomical Society (2022) (adsabs)
  4. A Gaussian Model for Anisotropic Strange Quark Stars, Eghdami, I.; Monadi, R.; Panahi, H., Chinese Physics Letters, Volume 33, Issue 7, article id. 072601 (2016). (adsabs)