Papers

7

Total Citations

328

H-Index

6

About

Aaron Meisner is a key architect of the hardware and data analysis underpinning the Dark Energy Spectroscopic Instrument (DESI), a Stage-IV ground-based project creating the largest 3D map of the universe. His primary research areas include astronomical instrumentation, large-scale structure cosmology, and survey data calibration. Meisner’s most significant contribution is his leadership in developing and characterizing DESI’s revolutionary robotic fiber positioning system, a focal plane of 5,020 robots that automatically retarget optical fibers every 10–20 minutes with micron precision. This work, detailed in his highly cited 2022 paper (175 citations), is the mechanical backbone enabling DESI to simultaneously measure 40 million galaxy and quasar spectra. He has also been instrumental in the first detection of the baryon acoustic oscillation (BAO) signal from early DESI data (2023, 37 citations), a milestone for precision cosmology. Furthermore, Meisner has pioneered methods to correct for fiber assignment incompleteness—a critical systematic effect in clustering analyses—ensuring unbiased measurements from DESI’s massive dataset. His work on alternate realizations of fiber assignment (2025, 25 citations) and astrometric calibration (2023) has been essential for validating DESI’s cosmological results. Through his combination of hands-on engineering and rigorous statistical analysis, Meisner is helping to unlock the secrets of dark energy and shape the future of spectroscopic surveys.

Research Focus

Key Achievements

6
H-Index
7
Papers
328
Total Citations
47
Avg Citations/Paper
🏆 Most Cited Paper
The Robotic Multiobject Focal Plane System of the Dark Energy Spectroscopic Instrument (DESI)
175 citations · 2022
📈 Most Prolific Year: 2024 (2 Papers)
🤝 Key Collaborators: 218
🏛 Institutions: NSF NOIRLab, Community Science and Data Center, National Solar Observatory

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago