Characterizing Optics with White-Light Interferometry

Slides:



Advertisements
Similar presentations
Detection of weak optical signals D.R. Selviah, R.C. Coutinho, H.A. French and H.D. Griffiths Department of Electronic and Electrical Engineering, University.
Advertisements

INTERFEROMETER TO MEASURE DISPERSION Michelson Interferometer response.
 PART Absorption Spectrometer Dr. S. M. Condren SourceWavelength SelectorDetector Signal Processor Readout Sample.
Millimeter Wave Sensor: An Overview
Introduction to Infrared Spectrometry Chap 16. Quantum Mechanical Treatment of Vibrations Required to include quantized nature of E From solving the wave.
Lecture 3 INFRARED SPECTROMETRY
An Introduction. The first step on the road to laser was the publication of paper by Albert Einstein in 1916 –describing how atoms could interact with.
 a mathematical procedure developed by a French mathematician by the name of Fourier  converts complex waveforms into a combination of sine waves, which.
Chapter 12 Infrared Spectroscopy Jo Blackburn Richland College, Dallas, TX Dallas County Community College District  2006,  Prentice Hall Organic Chemistry,
By Madhu Gyawali Narayan Adhikari Yadab Paudel FTIR Measurements on November 06,08 at Reno Nov 18, 08 PHYS 749 UNIVERSITY OF NEVADA, RENO,NV.
LabVIEW Program Development for Angle- Multiplexed Spatial-Spectral Interferometry (SSI) Bilan Yang Rice University Dr. Igor Jovanovic Toshiba-Westinghouse.
Infrared Spectroscopy (IR) Fourier Transform Infrared (FTIR)
10fs laser pulse propagation in air Conclusion The properties of femtosecond laser pulse propagation over a long distance (up to 100m) were studied for.
The Electromagnetic Spectrum High Harmonic Generation
Mathematical Derivation of Probability
Jonathan Donkers1, Lin Zhang1+
Madhu Karra1, Jason Koglin1,2
Sentiment Analysis and Data visualization Techniques of Experiments
Image Processing For Soft X-Ray Self-Seeding
Structure and Function: Ubiquitination of NEMO and Optineurin
Matter in Extreme Conditions at LCLS:
Kevin Shimbo1, Matt Hayes+
X-Ray Shielding Introduction Application Research Conclusions
Crystallography images
Hutch 4 (XCS) Laser System
Anomaly Detection LCLS data: Introduction Research Conclusion
MAKING WAY FOR LCLS II HERRIOTT CELL IGNIS THE NEED FOR LCLS-II
A remote EPICS monitoring tool
Optical Characterization Techniques
EASE: Alert Management
Designing and Prototyping Optics Table and Shelves
Managing Diffraction Beam
Integration of Blu-Ice into
Effects of Wrapping Vacuum
Scintillation Material Encapsulation Fixture
LCLS CXI Sample Chambers and Engineering Solutions
Values to Normalize Data
Designing a molecular probe for detection
Optical Coherence Tomography
LAMP Vacuum System Documentation
Your Name, Elias Catalano, Robert Sublett, Robin Curtis
Determining a Detector’s Saturation Threshold
HXRSD Helium Enclosure
Crystallography Labeling Using Machine Learning
IT Inventory and Optimization
Structural study of soluble ammonia monooxygenase
Creation and development of a PRP database
IT Inventory and Optimization
Electro Optic Sampling of Ultrashort Mid-IR/THz Pulses
Margaret Koulikova1, William Colocho+
Current Work Setup of the interferometer Program for data analysis.
Analytical Solutions for Heat Distribution in KB Mirror Systems
Repeatability Test of Attocube Piezo Stages
Analytical Solutions for Temperature
Barron Montgomery1,2, Christopher O’Grady2, Chuck Yoon2, Mark Hunter2+
+ applications.
Elizabeth Van Campen, Barrack Obama2, Stephen Curry1,2, Steve Kerr2+
Advanced Methods of Klystron Phasing
Ryan Dudschus, Alex Wallace, Zachary Lentz
Jennifer Hoover1, William Colocho2
X-Ray Spectrometry Using Cauchois Geometry For Temperature Diagnostics
MICHELSON AND WHITE LIGHT INTERFEROMETRY
Redesigning of The SED Calendars
Automatic compression control for the LCLS injector laser
Russell Edmonds1, Matt Hayes2+ 1LCLS Summer Research Intern
Observational Astronomy
Title of Your Poster Introduction Research Conclusions Acknowledgments
Reconstruction algorithms Challenges & Future work
Interference P47 – Optics: Unit 6.
Dispersive Comb-Spectrum Interferometer: Metrological Characterization
Presentation transcript:

Characterizing Optics with White-Light Interferometry Karthik Srivatsan1, Katalin Mecseki2+, Franz Tavella2, Matthew Windeler2, Joseph Robinson2 1Department of Aerospace Engineering, University of Michigan, 1320 Beal Avenue, Ann Arbor, MI 48109, USA. 2Linac Coherent Light Source, SLAC National Accelerator Laboratory, 2575 Sand Hill Road, Menlo Park, CA 94025, USA. +Contact: kmecseki@slac.stanford.edu Measuring Optics Introduction Results Ultrashort laser pulses have helped us understand processes on the atomic scale. However, these pulses are very fragile, and can be stretched due to the wavelength-dependent responses of the optics they interact with. White-light interferometry and Fourier transform spectral interferometry lets us measure the distortion caused by these optics. By measuring certain properties of the light beam, we can characterize these optics, and determine whether they are suitable for laser use. Keywords: White-light interferometry, dispersion, spectral phase. The first step to characterizing the optic is to find the spectral phase of the light beam. To find it using FTSI, extract the spike corresponding to the fringes on the interferogram from the Fourier-transformed spectrum, then inverse transform it back to the frequency domain. The complex angle of the resulting function is the phase. I wrote a MATLAB script and graphical user interface to perform this analysis in real time, using input from a spectrometer. The code has several key features which streamline the analysis, such as adaptive windowing and data logging. Another script was written to conduct a more granular analysis of the optics. It analyzed the phase to plot the GVD of the optic with respect to the wavelength of the light. Four dielectric mirrors from Eksma Optics were tested in visible and near-infrared wavelengths, and the group velocity dispersion (GVD) and third-order dispersion (TOD) were measured for each configuration. After collecting data for each configuration, the results are as follows: Below are plots of the spectral phase (with the linear component removed) for each of the four mirrors. The 1500nm mirrors can be used in the laser at wavelengths around 1500nm. However, the 800nm mirror should be used with caution, and I cannot recommend using the 800nm 45°mirror with the laser. Optic Type Wave-length Mean GVD (fs2/mm) SD GVD (fs2/mm) Mean TOD (fs3/mm) SD TOD (fs3/mm) Control VIS 36.6424 0.7489 38.4494 4.9207 800nm Mirror 25.4103 6.7798 36.4603 8.1809 800nm 45° mirror 9.1742   1.6414 53.7953 10.4156 NIR -8.8001 3.0862 39.1523 17.8757 1500nm Mirror -14.2071 2.631 25.1688 17.9743 1500nm 45° mirror -9.1637 5.0992 82.0899 42.4817 Table 1. Optic Data 800nm 1500nm White-Light Interferometry and FTSI Fig 3. Plot of Phase vs. Angular Frequency for Near-Infrared Spectrum White light interferometry uses a broadband light source and an interferometer- a device that superimposes two beams of light to create an interference pattern- to measure certain properties of an object. Fourier transform spectral interferometry (FTSI) uses the Fourier transform of the spectrum to determine important optical properties, such as the spectral phase. It is being used to characterize the optic. 800nm 45° 1500nm 45° Fixed windowing-may miss signal and pick up noise Adaptive windowing-tracks signal, rejects noise Fig 6. Nonlinear Phase of Dielectric Mirrors Fig 4. Fixed vs Adaptive Windowing Fig 1. Michelson-Morley Interferometer Conclusions Over the course of this project, I built and tested a stand-alone measuring device that quickly characterizes various optics for use with ultrashort pulsed lasers. I also wrote several pieces of software to perform the various analyses associated with such a characterization. A useful future addition to this project would be a motorized stage that automatically finds the point of zero delay in the interferometer. This is a very time-consuming process if done manually, but with a motorized stage and software, it could be done much more quickly. Acknowledgments I would like to thank my mentor, Katalin Mecseki, for her help- her insight proved instrumental in solving some difficult problems. I would also like to thank Franz Tavella and Matt Windeler for their support, and for being great co-workers. Use of the Linac Coherent Light Source (LCLS), SLAC National Accelerator Laboratory, is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Contract No. DE-AC02-76SF00515. Fig 5. Mirrors and Experimental Setup Fig 2. Spectrum and Fourier Transform Date: 07/28/2017