Precision in peak parameter estimation for Gaussian and Lorentzian profiles: Guidelines for instrument optimization
The analysis of signal data plays a fundamental role across diverse scientific fields, where the high-precision estimation of peak parameters such as intensity, position, bandwidth, and area is essential for advancing scientific progress. However, understanding how these parameters are influenced by...
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| Format: | Article |
| Language: | English |
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American Physical Society
2025-05-01
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| Series: | Physical Review Research |
| Online Access: | http://doi.org/10.1103/PhysRevResearch.7.023163 |
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| author | Yuuki Hagiwara Tatsu Kuwatani |
| author_facet | Yuuki Hagiwara Tatsu Kuwatani |
| author_sort | Yuuki Hagiwara |
| collection | DOAJ |
| description | The analysis of signal data plays a fundamental role across diverse scientific fields, where the high-precision estimation of peak parameters such as intensity, position, bandwidth, and area is essential for advancing scientific progress. However, understanding how these parameters are influenced by profile shape and instrumentation remains a key challenge, as these factors fundamentally determine the precision and efficiency of analytical measurements. To address this, we derive analytical solutions for the precision of Lorentzian profile peak parameters under Poisson noise constraints using the Cramér–Rao inequality and Fisher information. By comparing these precision limits with those of Gaussian profiles, we identify the peak characteristics that strongly influence parameter precision. Our results demonstrate that the profile slope and tail intensity are critical factors for estimating peak position and position differences, with Gaussian profiles exhibiting higher precision under identical conditions. Conversely, the weaker intensity–bandwidth correlation in Gaussian profiles contributes to their superior precision in intensity and bandwidth estimation. Additionally, Lorentzian profiles show a sqrt[3]-fold improvement in area ratio precision over intensity ratio precision, surpassing the corresponding improvement in Gaussian profiles. This distinction arises from the larger area and stronger intensity–bandwidth correlation inherent in Lorentzian profiles. These findings highlight the significant impact of profile shape on peak parameter precision, providing essential guidance for decision-making in instrument design and analytical conditions. By integrating these analytical solutions with insights from analytical chemistry, we establish a theoretical framework linking peak parameter precision with instrument performance. This framework enables quantitative evaluation of the effects of equipment and experimental design improvements on measurement precision. As a practical application, we numerically demonstrate how enhanced instrument conditions improve the precision of isotope ratio measurements of CO_{2} using Raman spectroscopy. Our findings provide practical guidelines for instrument optimization and budget planning, ultimately supporting high-precision analytical applications. |
| format | Article |
| id | doaj-art-93b36ba74fb743579bc5d9bdae83ac66 |
| institution | OA Journals |
| issn | 2643-1564 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | American Physical Society |
| record_format | Article |
| series | Physical Review Research |
| spelling | doaj-art-93b36ba74fb743579bc5d9bdae83ac662025-08-20T01:52:21ZengAmerican Physical SocietyPhysical Review Research2643-15642025-05-017202316310.1103/PhysRevResearch.7.023163Precision in peak parameter estimation for Gaussian and Lorentzian profiles: Guidelines for instrument optimizationYuuki HagiwaraTatsu KuwataniThe analysis of signal data plays a fundamental role across diverse scientific fields, where the high-precision estimation of peak parameters such as intensity, position, bandwidth, and area is essential for advancing scientific progress. However, understanding how these parameters are influenced by profile shape and instrumentation remains a key challenge, as these factors fundamentally determine the precision and efficiency of analytical measurements. To address this, we derive analytical solutions for the precision of Lorentzian profile peak parameters under Poisson noise constraints using the Cramér–Rao inequality and Fisher information. By comparing these precision limits with those of Gaussian profiles, we identify the peak characteristics that strongly influence parameter precision. Our results demonstrate that the profile slope and tail intensity are critical factors for estimating peak position and position differences, with Gaussian profiles exhibiting higher precision under identical conditions. Conversely, the weaker intensity–bandwidth correlation in Gaussian profiles contributes to their superior precision in intensity and bandwidth estimation. Additionally, Lorentzian profiles show a sqrt[3]-fold improvement in area ratio precision over intensity ratio precision, surpassing the corresponding improvement in Gaussian profiles. This distinction arises from the larger area and stronger intensity–bandwidth correlation inherent in Lorentzian profiles. These findings highlight the significant impact of profile shape on peak parameter precision, providing essential guidance for decision-making in instrument design and analytical conditions. By integrating these analytical solutions with insights from analytical chemistry, we establish a theoretical framework linking peak parameter precision with instrument performance. This framework enables quantitative evaluation of the effects of equipment and experimental design improvements on measurement precision. As a practical application, we numerically demonstrate how enhanced instrument conditions improve the precision of isotope ratio measurements of CO_{2} using Raman spectroscopy. Our findings provide practical guidelines for instrument optimization and budget planning, ultimately supporting high-precision analytical applications.http://doi.org/10.1103/PhysRevResearch.7.023163 |
| spellingShingle | Yuuki Hagiwara Tatsu Kuwatani Precision in peak parameter estimation for Gaussian and Lorentzian profiles: Guidelines for instrument optimization Physical Review Research |
| title | Precision in peak parameter estimation for Gaussian and Lorentzian profiles: Guidelines for instrument optimization |
| title_full | Precision in peak parameter estimation for Gaussian and Lorentzian profiles: Guidelines for instrument optimization |
| title_fullStr | Precision in peak parameter estimation for Gaussian and Lorentzian profiles: Guidelines for instrument optimization |
| title_full_unstemmed | Precision in peak parameter estimation for Gaussian and Lorentzian profiles: Guidelines for instrument optimization |
| title_short | Precision in peak parameter estimation for Gaussian and Lorentzian profiles: Guidelines for instrument optimization |
| title_sort | precision in peak parameter estimation for gaussian and lorentzian profiles guidelines for instrument optimization |
| url | http://doi.org/10.1103/PhysRevResearch.7.023163 |
| work_keys_str_mv | AT yuukihagiwara precisioninpeakparameterestimationforgaussianandlorentzianprofilesguidelinesforinstrumentoptimization AT tatsukuwatani precisioninpeakparameterestimationforgaussianandlorentzianprofilesguidelinesforinstrumentoptimization |