Extracting the distribution of laser damage precursors on fused silica surfaces for 351 nm, 3 ns laser pulses at high fluences (20-150 J/cm2).

Surface laser damage limits the lifetime of optics for systems guiding high fluence pulses, particularly damage in silica optics used for inertial confinement fusion-class lasers (nanosecond-scale high energy pulses at 355 nm/3.5 eV). The density of damage precursors at low fluence has been measured using large beams (1-3 cm); higher fluences cannot be measured easily since the high density of resulting damage initiation sites results in clustering. We developed automated experiments and analysis that allow us to damage test thousands of sites with small beams (10-30 µm), and automatically image the test sites to determine if laser damage occurred. We developed an analysis method that provides a rigorous connection between these small beam damage test results of damage probability versus laser pulse energy and the large beam damage results of damage precursor densities versus fluence. We find that for uncoated and coated fused silica samples, the distribution of precursors nearly flattens at very high fluences, up to 150 J/cm2, providing important constraints on the physical distribution and nature of these precursors.

[1]  J. J. Adams,et al.  Comparison between S/1 and R/1 tests and damage density vs. fluence (ρ(Φ)) results for unconditioned and sub-nanosecond laser-conditioned KD2PO4 crystals , 2007, SPIE Laser Damage.

[2]  Roger Courchinoux,et al.  Automatic damage test benches: from samples to large-aperture optical components , 2004, SPIE Optical Systems Design.

[3]  L. Lamaignère,et al.  An accurate, repeatable, and well characterized measurement of laser damage density of optical materials. , 2007, The Review of scientific instruments.

[4]  Christopher W. Carr,et al.  Effect of temporal pulse shape on optical damage , 2006 .

[5]  R. A. Negres,et al.  The effect of laser pulse shape and duration on the size at which damage sites initiate and the implications to subsequent repair. , 2011, Optics express.

[6]  Mark R. Kozlowski,et al.  Current 3-ω large optic test procedures and data analysis for the quality assurance of National Ignition Facility optics , 1999, Laser Damage.

[7]  D. Milam Review and assessment of measured values of the nonlinear refractive-index coefficient of fused silica. , 1998, Applied optics.

[8]  B. Do,et al.  Bulk and surface laser damage of silica by picosecond and nanosecond pulses at 1064 nm. , 2008, Applied optics.

[9]  D. Marquardt An Algorithm for Least-Squares Estimation of Nonlinear Parameters , 1963 .

[10]  L. L. Wong,et al.  HF‐Based Etching Processes for Improving Laser Damage Resistance of Fused Silica Optical Surfaces , 2011 .

[11]  R. Miles,et al.  Timely Delivery of Laser Inertial Fusion Energy (LIFE) , 2010 .

[12]  Zhi M Liao,et al.  Predicting laser-induced bulk damage and conditioning for deuterated potassium dihydrogen phosphate crystals using an absorption distribution model. , 2010, Optics letters.

[13]  David A Cross,et al.  Analysis of 1ω bulk laser damage in KDP. , 2011, Applied optics.

[14]  Yuen-Ron Shen,et al.  Self-focusing: Experimental , 1975 .

[15]  Tayyab I. Suratwala,et al.  Metallic-like photoluminescence and absorption in fused silica surface flaws , 2009 .

[16]  Dale C. Ness,et al.  Automated system for laser damage testing of coated optics , 2005, SPIE Laser Damage.

[17]  Edward I. Moses The National Ignition Facility and the Promise of Inertial Fusion Energy , 2010 .

[18]  Michael D. Feit,et al.  Effect of random clustering on surface damage density estimates , 2007, SPIE Laser Damage.

[19]  Michael D. Feit,et al.  Techniques for qualitative and quantitative measurement of aspects of laser-induced damage important for laser beam propagation , 2005 .

[20]  B. Chromy,et al.  Efficient maximum likelihood estimator fitting of histograms , 2010, Nature Methods.

[21]  Roy E. Welsch,et al.  Algorithm 717: Subroutines for maximum likelihood and quasi-likelihood estimation of parameters in nonlinear regression models , 1993, TOMS.

[22]  P. Miller,et al.  Fracture-induced subbandgap absorption as a precursor to optical damage on fused silica surfaces. , 2010, Optics letters.

[23]  Michael D. Feit,et al.  Extrapolation of damage test data to predict performance of large-area NIF optics at 355 nm , 1999, Laser Damage.

[24]  I. Thomas,et al.  High laser damage threshold porous silica antireflective coating. , 1986, Applied optics.

[25]  J. Marburger,et al.  Self-focusing: theory , 1975, International Quantum Electronics Conference, 2005..

[26]  Justin E. Wolfe,et al.  Automated laser damage test system with real-time damage event imaging and detection , 2007, SPIE Laser Damage.

[27]  Tayyab I. Suratwala,et al.  Effect of humidity during the coating of Stöber silica sols , 2004 .

[28]  Leonid B. Glebov Intrinsic laser-induced breakdown of silicate glasses , 2002, SPIE Laser Damage.

[29]  Michael D. Feit,et al.  Laser damage precursors in fused silica , 2009, Laser Damage.

[30]  Timothy L. Weiland,et al.  A large-aperture high-energy laser system for optics and optical component testing , 2004, SPIE Laser Damage.