Articles | Volume 16, issue 12
Research article
29 Jun 2023
Research article |  | 29 Jun 2023

Generalized Kendrick analysis for improved visualization of atmospheric mass spectral data

Mitchell W. Alton, Harald J. Stark, Manjula R. Canagaratna, and Eleanor C. Browne


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on egusphere-2022-1319: mass excess', Marc Gonin, 13 Dec 2022
  • CC2: 'Comment on egusphere-2022-1319: mass vs mas/charge', Marc Gonin, 13 Dec 2022
    • RC2: 'Reply on CC2', Thierry Fouquet, 06 Jan 2023
  • RC1: 'Comment on egusphere-2022-1319', Thierry Fouquet, 06 Jan 2023
  • RC3: 'RC2', Anonymous Referee #2, 31 Jan 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Eleanor Browne on behalf of the Authors (24 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (07 Apr 2023) by Bin Yuan
ED: Publish subject to technical corrections (25 May 2023) by Bin Yuan
AR by Eleanor Browne on behalf of the Authors (26 May 2023)  Author's response   Manuscript 
Short summary
Mass spectrometric measurements of atmospheric composition routinely detect hundreds of different ions of varying chemical composition, creating challenges for visualization and data interpretation. We present a new analysis technique to facilitate visualization, while providing greater chemical insight. Additionally, it can aid in identifying the chemical composition of ions. A graphical user interface for performing the analysis is introduced and freely available, enabling broad applications.