The University of Southampton
University of Southampton Institutional Repository

Model to predict the response of a correlation spectroscopy system for the detection of oxygen gas

Model to predict the response of a correlation spectroscopy system for the detection of oxygen gas
Model to predict the response of a correlation spectroscopy system for the detection of oxygen gas
We present the first comprehensive model for the detection of a gas by absorption based correlation spectroscopy, and show the practically useful results obtained. Predictions of sensor response for a fibre-optic-coupled O detection limits have been derived.
Chambers, P.
acc1a1f9-dbc8-4d5e-8982-1843cb1beda7
Austin, E.A.
5e62fbb2-313b-4368-a371-2d8cb7978109
Dakin, J.P.
490d5873-c444-423b-8d83-c49f118dc4b5
Chambers, P.
acc1a1f9-dbc8-4d5e-8982-1843cb1beda7
Austin, E.A.
5e62fbb2-313b-4368-a371-2d8cb7978109
Dakin, J.P.
490d5873-c444-423b-8d83-c49f118dc4b5

Chambers, P., Austin, E.A. and Dakin, J.P. (2003) Model to predict the response of a correlation spectroscopy system for the detection of oxygen gas. Proceedings of Sensors and their Applications XII, University of Limerick, Ireland. 02 - 04 Sep 2003. 6 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

We present the first comprehensive model for the detection of a gas by absorption based correlation spectroscopy, and show the practically useful results obtained. Predictions of sensor response for a fibre-optic-coupled O detection limits have been derived.

PDF
2608.pdf - Other
Download (436kB)

More information

Published date: 2003
Venue - Dates: Proceedings of Sensors and their Applications XII, University of Limerick, Ireland, 2003-09-02 - 2003-09-04

Identifiers

Local EPrints ID: 41624
URI: https://eprints.soton.ac.uk/id/eprint/41624
PURE UUID: 863e4d4a-bf39-4163-896d-730b2b41765c

Catalogue record

Date deposited: 10 Oct 2006
Last modified: 17 Jul 2017 15:29

Export record

Contributors

Author: P. Chambers
Author: E.A. Austin
Author: J.P. Dakin

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×