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Derivation from First Principles of the Statistical Distribution of the Mass Peak Intensities of MS Data

Andreas Ipsen

Analytical Chemistry, Volume: 87, Issue: 3, Pages: 1726 - 1734

Swansea University Author: Andreas Ipsen

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DOI (Published version): 10.1021/ac503554u

Abstract

The statistical distribution of mass peak intensities recorded on instruments employing analog-to-digital converters (ADCs) and electron multipliers is derived from the first principles of the data generation process. The resulting Gaussian model is validated with experimental data.

Published in: Analytical Chemistry
Published: 2015
URI: https://cronfa.swan.ac.uk/Record/cronfa22259
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first_indexed 2015-07-03T02:10:22Z
last_indexed 2018-02-09T05:00:33Z
id cronfa22259
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spelling 2015-07-02T22:39:37.1084621 v2 22259 2015-07-02 Derivation from First Principles of the Statistical Distribution of the Mass Peak Intensities of MS Data 5bc63515666926dd39a5ccf64f6ba865 Andreas Ipsen Andreas Ipsen true false 2015-07-02 PMSC The statistical distribution of mass peak intensities recorded on instruments employing analog-to-digital converters (ADCs) and electron multipliers is derived from the first principles of the data generation process. The resulting Gaussian model is validated with experimental data. Journal Article Analytical Chemistry 87 3 1726 1734 mass spectrometry, mass peak intensity, statistical distribution 24 2 2015 2015-02-24 10.1021/ac503554u COLLEGE NANME Medicine COLLEGE CODE PMSC Swansea University 2015-07-02T22:39:37.1084621 2015-07-02T22:38:29.2328621 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Andreas Ipsen 1
title Derivation from First Principles of the Statistical Distribution of the Mass Peak Intensities of MS Data
spellingShingle Derivation from First Principles of the Statistical Distribution of the Mass Peak Intensities of MS Data
Andreas Ipsen
title_short Derivation from First Principles of the Statistical Distribution of the Mass Peak Intensities of MS Data
title_full Derivation from First Principles of the Statistical Distribution of the Mass Peak Intensities of MS Data
title_fullStr Derivation from First Principles of the Statistical Distribution of the Mass Peak Intensities of MS Data
title_full_unstemmed Derivation from First Principles of the Statistical Distribution of the Mass Peak Intensities of MS Data
title_sort Derivation from First Principles of the Statistical Distribution of the Mass Peak Intensities of MS Data
author_id_str_mv 5bc63515666926dd39a5ccf64f6ba865
author_id_fullname_str_mv 5bc63515666926dd39a5ccf64f6ba865_***_Andreas Ipsen
author Andreas Ipsen
author2 Andreas Ipsen
format Journal article
container_title Analytical Chemistry
container_volume 87
container_issue 3
container_start_page 1726
publishDate 2015
institution Swansea University
doi_str_mv 10.1021/ac503554u
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
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description The statistical distribution of mass peak intensities recorded on instruments employing analog-to-digital converters (ADCs) and electron multipliers is derived from the first principles of the data generation process. The resulting Gaussian model is validated with experimental data.
published_date 2015-02-24T03:26:30Z
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score 11.013148