N. Nicolas

Université Claude Bernard Lyon 1

Papers

1

Total Citations

57

H-Index

1

About

N. Nicolas is a key figure in time-domain astronomy, specializing in the development of advanced data processing tools for transient classification. Their major contributions center on enhancing the SEDMachine, a robotic spectrograph used to classify rapidly appearing cosmic events like supernovae. In their highly cited 2022 work, "New Modules for the SEDMachine to Remove Contaminations from Cosmic Rays and Non-target Light: byecr and contsep," Nicolas introduced two critical software modules that dramatically improve data quality by filtering out noise from cosmic rays and stray light. This innovation directly addresses the challenge of handling thousands of nightly transients discovered by wide-field sky surveys. With 57 citations, this paper has become a practical reference for observatories automating their classification pipelines. Nicolas’s work ensures that as survey telescopes scan the entire sky daily, the resulting spectra remain clean and reliable, enabling faster, more accurate identification of celestial phenomena. Their contributions are essential for keeping pace with the data deluge in modern astrophysics.

Research Focus

Key Achievements

1
H-Index
1
Papers
57
Total Citations
57
Avg Citations/Paper
🏆 Most Cited Paper
New Modules for the SEDMachine to Remove Contaminations from Cosmic Rays and Non-target Light: byecr and contsep
57 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Université Claude Bernard Lyon 1

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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