Naim Göksel Karaçaylı
Physics and Astronomy · The Ohio State University
Publications
64
Citations
3,902
Est. group size
~7
Recurring co-author estimate
Active years
8
Publishing since 2019
Naim Göksel Karaçaylı works in observational cosmology, using the Lyman-alpha forest — patterns of absorbed light from distant quasars caused by intervening hydrogen gas — to study the large-scale structure of the universe. His work involves developing statistical and computational tools to extract cosmological information (such as neutrino mass limits and structure growth) from large sky surveys like DESI and SDSS. Prospective students would engage with data analysis, power spectrum estimation methods, and large collaborative survey datasets.
Publication output has grown substantially over the last decade, rising from zero or one paper per year before 2020 to over ten per year since 2023, indicating an active and expanding research pace.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Unified reconstruction of the Lyman-alpha power spectrum with Hamiltonian Monte Carlo
Physical review. D/Physical review. D. · 2026
- Generation of lognormal synthetic Lyman- <i>α</i> forest spectra for P <sub> 1 <i>D</i> </sub> analysis
Journal of Cosmology and Astroparticle Physics · 2026
- Supplementary data for DESI DR2 Baryon Acoustic Oscillations from the Lyman Alpha Forest Multipoles
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Supplementary data for DESI DR2 Baryon Acoustic Oscillations from the Lyman Alpha Forest Multipoles
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Analytic compression of the effective field theory of the Lyman-alpha forest
HAL (Le Centre pour la Communication Scientifique Directe) · 2026
- Fundamental Physics with the Lyman-Alpha Forest: Constraints on the Growth of Structure and Neutrino Masses from SDSS with Effective Field Theory
Physical Review Letters · 2025
- Light in the dark forest. Part I. An efficient optimal estimator for 3D Lyman-alpha forest power spectrum
Journal of Cosmology and Astroparticle Physics · 2025
- DESI DR1 Lyα 1D power spectrum: The optimal estimator measurement
arXiv (Cornell University) · 2025
- Light in the dark forest -- I. An efficient optimal estimator for 3D Lyman-alpha forest power spectrum
arXiv (Cornell University) · 2025
- QSOnic: fast quasar continuum fitting
The Journal of Open Source Software · 2024
- Fundamental physics with the Lyman-alpha forest: constraints on the growth of structure and neutrino masses from SDSS with effective field theory
arXiv (Cornell University) · 2024
- Optimal 1D Ly𝛼 Forest Power Spectrum Estimation – III. DESI early data
UCL Discovery (University College London) · 2023
- The DESI Survey Validation: Results from Visual Inspection of the Quasar Survey Spectra
UCL Discovery (University College London) · 2022
- Improving Cosmic Statistics of Neutral Hydrogen
American Astronomical Society Meeting Abstracts · 2021
- Optimal 1D Ly α forest power spectrum estimation – I. DESI-lite spectra
Monthly Notices of the Royal Astronomical Society · 2020
- Journal of Cosmology and Astroparticle Physics×18
- arXiv (Cornell University)×18
- Monthly Notices of the Royal Astronomical Society×7
- The Astronomical Journal×5
- Zenodo (CERN European Organization for Nuclear Research)×4
- Christopher M. Hirata
Physics and Astronomy · The Ohio State University
- M. Rashkovetskyi
Physics and Astronomy · The Ohio State University
- K. Fanning
Physics and Astronomy · The Ohio State University
- N. MacCrann
Physics and Astronomy · The Ohio State University
- Peter L. Taylor
Physics and Astronomy · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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