Algorithm for cumulative damage probability calculations in S-on-1 laser damage testing

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Stefan Schrameyer
  • Marco Jupé
  • Lars Jensen
  • Detlev Ristau

Externe Organisationen

  • Laser Zentrum Hannover e.V. (LZH)
  • Cutting Edge Coatings GmbH
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des Sammelwerks45th Annual Laser Damage Symposium Proceedings - Laser-Induced Damage in Optical Materials
Untertitel2013
Herausgeber (Verlag)SPIE
ISBN (Print)9780819497536
PublikationsstatusVeröffentlicht - 14 Nov. 2013
Extern publiziertJa
Veranstaltung45th Annual Laser Damage Symposium - Laser-Induced Damage in Optical Materials: 2013 - Boulder, CO, USA / Vereinigte Staaten
Dauer: 22 Sept. 201325 Sept. 2013

Publikationsreihe

NameProceedings of SPIE - The International Society for Optical Engineering
Band8885
ISSN (Print)0277-786X
ISSN (elektronisch)1996-756X

Abstract

In the determination of the laser-induced damage threshold of optics, the correct estimation of damage probabilities is essential. In this publication, a simple procedure based on physical considerations is proposed to optimize the calculation of the damage probabilities by using a cumulative algorithm. The predicted status of test sites at higher and lower fluences than actually tested provides the basis for a new data reduction. It is shown that the proposed algorithm increases the statistically relevant amount of data per fluence interval dQi by using virtual test sites. Thus, the uncertainty σi in the calculation of the damage probabilities is reduced significantly and the subsequent linear regression of the damage probabilities will have a reduced least squared error. Non-linear regression of the damage probability according to defect-induced damage models as published numerous times in recent years are also performed to utilize a better confidence level which will be shown exemplarily.

ASJC Scopus Sachgebiete

Zitieren

Algorithm for cumulative damage probability calculations in S-on-1 laser damage testing. / Schrameyer, Stefan; Jupé, Marco; Jensen, Lars et al.
45th Annual Laser Damage Symposium Proceedings - Laser-Induced Damage in Optical Materials: 2013. SPIE, 2013. 88851J (Proceedings of SPIE - The International Society for Optical Engineering; Band 8885).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Schrameyer, S, Jupé, M, Jensen, L & Ristau, D 2013, Algorithm for cumulative damage probability calculations in S-on-1 laser damage testing. in 45th Annual Laser Damage Symposium Proceedings - Laser-Induced Damage in Optical Materials: 2013., 88851J, Proceedings of SPIE - The International Society for Optical Engineering, Bd. 8885, SPIE, 45th Annual Laser Damage Symposium - Laser-Induced Damage in Optical Materials: 2013, Boulder, CO, USA / Vereinigte Staaten, 22 Sept. 2013. https://doi.org/10.1117/12.2029997
Schrameyer, S., Jupé, M., Jensen, L., & Ristau, D. (2013). Algorithm for cumulative damage probability calculations in S-on-1 laser damage testing. In 45th Annual Laser Damage Symposium Proceedings - Laser-Induced Damage in Optical Materials: 2013 Artikel 88851J (Proceedings of SPIE - The International Society for Optical Engineering; Band 8885). SPIE. https://doi.org/10.1117/12.2029997
Schrameyer S, Jupé M, Jensen L, Ristau D. Algorithm for cumulative damage probability calculations in S-on-1 laser damage testing. in 45th Annual Laser Damage Symposium Proceedings - Laser-Induced Damage in Optical Materials: 2013. SPIE. 2013. 88851J. (Proceedings of SPIE - The International Society for Optical Engineering). doi: 10.1117/12.2029997
Schrameyer, Stefan ; Jupé, Marco ; Jensen, Lars et al. / Algorithm for cumulative damage probability calculations in S-on-1 laser damage testing. 45th Annual Laser Damage Symposium Proceedings - Laser-Induced Damage in Optical Materials: 2013. SPIE, 2013. (Proceedings of SPIE - The International Society for Optical Engineering).
Download
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