Preliminary Characterization Results: Fiber-Coupled, Multi-channel, Hyperspectral Spectrographs

Similar documents
2008 Stray Light Correction Work

Simultaneous measurement of up-welling spectral radiance using a fiber-coupled CCD spectrograph

Improving the Collection Efficiency of Raman Scattering

TriVista. Universal Raman Solution

SpectraPro 2150 Monochromators and Spectrographs

MS260i 1/4 M IMAGING SPECTROGRAPHS

Performance Comparison of Spectrometers Featuring On-Axis and Off-Axis Grating Rotation

SOAR Integral Field Spectrograph (SIFS): Call for Science Verification Proposals

Hyperspectral goes to UAV and thermal

Oriel MS260i TM 1/4 m Imaging Spectrograph

Instructions for the Experiment

Detection and application of Doppler and motional Stark features in the DNB emission spectrum in the high magnetic field of the Alcator C-Mod tokamak

PIXIS-XB: 1024BR X-RAY GROUP

NIST Agency Report May 2012 OUTLINE. The case for traceability NMI capabilities A view to the future the HIP Current/recent NIST activities

Signal-to-Noise Ratio (SNR) discussion

Capabilities of NIST SIRCUS for Calibrations of SSI Vis-IR Instruments

Better Imaging with a Schmidt-Czerny-Turner Spectrograph

Specifications. Offers the best spatial resolution for multi-stripe spectroscopy. Provides the user the choice of either high accuracy slit mechanism

MASSACHUSETTS INSTITUTE OF TECHNOLOGY LINCOLN LABORATORY 244 WOOD STREET LEXINGTON, MASSACHUSETTS

Applications of Steady-state Multichannel Spectroscopy in the Visible and NIR Spectral Region

Aqualog. CDOM Measurements Made Easy PARTICLE CHARACTERIZATION ELEMENTAL ANALYSIS FLUORESCENCE GRATINGS & OEM SPECTROMETERS OPTICAL COMPONENTS RAMAN

Hyperspectral Image capture and analysis of The Scream (1893)

Radiometric Solar Telescope (RaST) The case for a Radiometric Solar Imager,

OPAL Optical Profiling of the Atmospheric Limb

ECEN. Spectroscopy. Lab 8. copy. constituents HOMEWORK PR. Figure. 1. Layout of. of the

SPECTRAL SCANNER. Recycling

True simultaneous ICP-OES for unmatched speed and performance

UV/Optical/IR Astronomy Part 2: Spectroscopy

Cerro Tololo Inter-American Observatory. CHIRON manual. A. Tokovinin Version 2. May 25, 2011 (manual.pdf)

Optional AR coating and wedge windows are available

Program for UV Intercomparison 2014 in Davos:

PIXIS-XO: 1024B 1024 x 1024 imaging array 13 x 13 µm pixels

JPSS1 VIIRS RSB Sensor calibration using monochromator-based and laser-based methods

Norsk Elektro Optikk AS (NEO) HySpex Airborne Sensors System Overview

MUSKY: Multispectral UV Sky camera. Valentina Caricato, Andrea Egidi, Marco Pisani and Massimo Zucco, INRIM

Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 77. Table of Contents 1

Observational Astronomy

Dual-FL. World's Fastest Fluorometer. Measure absorbance spectra and fluorescence simultaneously FLUORESCENCE

Superior ICP-OES optical design for unmatched speed and performance

Minimizes reflection losses from UV-IR; Optional AR coatings & wedge windows are available.

Minimizes reflection losses from UV to IR; No optical losses due to multiple optical surfaces; Optional AR coating and wedge windows available.

Development of 2 Total Spectral Radiant Flux Standards at NIST

Integrating Spheres. Why an Integrating Sphere? High Reflectance. How Do Integrating Spheres Work? High Damage Threshold

AIXUV's Tools for EUV-Reflectometry Rainer Lebert, Christian Wies AIXUV GmbH, Steinbachstrasse 15, D Aachen, Germany

BaySpec SuperGamut OEM

BTS2048-UV. Product tags: UV, Spectral Data, LED Binning, Industrial Applications, LED.

DESIGN AND CHARACTERIZATION OF A HYPERSPECTRAL CAMERA FOR LOW LIGHT IMAGING WITH EXAMPLE RESULTS FROM FIELD AND LABORATORY APPLICATIONS

ROTATING SHADOWBAND SPECTRORADIOMETER MODEL RSS-1024/UVRSS-1024 BULLETIN RSS/UVRSS-1024

metcon meteorologieconsultgmbh, Instruments for Atmospheric Research W1aa_Feb_2017_1.doc 1 -

The only simultaneous absorbance and f uorescence system for water quality analysis! Aqualog

Optical Design of the SuMIRe PFS Spectrograph

Hyperspectral Imager for Coastal Ocean (HICO)

Improved Spectra with a Schmidt-Czerny-Turner Spectrograph

Spatially Resolved Backscatter Ceilometer

INNOVATIVE SPECTRAL IMAGING

Presented by Jerry Hubbell Lake of the Woods Observatory (MPC I24) President, Rappahannock Astronomy Club

1/8 m GRATING MONOCHROMATOR

Kazuhiro TANAKA GCOM project team/jaxa April, 2016

Commissioning of Thomson Scattering on the Pegasus Toroidal Experiment

QE65000 Spectrometer. Scientific-Grade Spectroscopy in a Small Footprint. now with. Spectrometers

Southern African Large Telescope. Prime Focus Imaging Spectrograph. Instrument Acceptance Testing Plan

Optical Coherence: Recreation of the Experiment of Thompson and Wolf

Results of J1 VIIRS testing using NIST s Traveling SIRCUS

TracQ. Basic Data Acquisition and Spectroscopy Software

UltraGraph Optics Design

ENMAP RADIOMETRIC INFLIGHT CALIBRATION, POST-LAUNCH PRODUCT VALIDATION, AND INSTRUMENT CHARACTERIZATION ACTIVITIES

Compatible with Windows 8/7/XP, and Linux; Universal programming interfaces for easy custom programming.

The chemical camera for your microscope

Comparison of low-cost hyperspectral sensors

Chapter 5 Nadir looking UV measurement.

The FTNIR Myths... Misinformation or Truth

Ocean Optics Protocols For Satellite Ocean Color Sensor Validation, Revision 4, Volume VI

Fast Laser Raman Microscope RAMAN

Design, calibration and assembly of an Offner imaging spectrometer

Enhanced Chemical Identification Using High-Throughput Virtual-Slit Enabled Optical Spectroscopy and Hyperspectral Imaging

Microscope-Spectrometer

Compact High Resolution Imaging Spectrometer (CHRIS) siraelectro-optics

HR2000+ Spectrometer. User-Configured for Flexibility. now with. Spectrometers

Instruction Manual for HyperScan Spectrometer

A collection of hyperspectral images for imaging systems research Torbjørn Skauli a,b, Joyce Farrell *a

Sensitive measurement of partial coherence using a pinhole array

Development of four-dimensional imaging spectrometers (4D-IS)

Powerful DMD-based light sources with a high throughput virtual slit Arsen R. Hajian* a, Ed Gooding a, Thomas Gunn a, Steven Bradbury a

LAMOST-HiRes. Fengshan - September 4, A Fiber-Fed High Resolution Echelle Spectrograph for LAMOST. Frank Grupp Slide 1

GPI INSTRUMENT PAGES

For Client Review Only. All Rights Reserved. Advanstar Communications Inc. 2005

THE CCD RIDDLE REVISTED: SIGNAL VERSUS TIME LINEAR SIGNAL VERSUS VARIANCE NON-LINEAR

Spectral and Polarization Configuration Guide for MS Series 3-CCD Cameras

Fastest high definition Raman imaging. Fastest Laser Raman Microscope RAMAN

High Resolution Optical Spectroscopy in the ELT Era. Cynthia S. Froning University of Texas at Austin May 25, 2016

WIDE SPECTRAL RANGE IMAGING INTERFEROMETER

Technical Notes. Integrating Sphere Measurement Part II: Calibration. Introduction. Calibration

Advances in Hyperspectral Imaging Technologies for Multi-channel Fiber Sensing

Micro-Mechanical Slit Positioning System as a Transmissive Spatial Light Modulator

Digital Photographic Imaging Using MOEMS

We bring quality to light. CAS 120 CCD Array Spectrometer

Cascaded holographic spectrographs for astronomical applications

LED Lighting Flux and Color Measurement System (LFC)

New automated laser facility for detector calibrations

NIRCam optical calibration sources

Transcription:

Preliminary Characterization Results: Fiber-Coupled, Multi-channel, Hyperspectral Spectrographs Carol Johnson, NIST MODIS-VIIRS Team Meeting January 26-28, 2010 Washington, DC

Marine Optical System & Data Stream The MOS optical system In MOS, light is input sequentially into the dual spectrographs using optical fibers and a rotating mirror assembly (in place of the cosine collector). The full slit is imaged onto CCD detectors. On a typical day, it took 27 min to acquire a full data set, with integration times of between 1 and 30 sec (Es vs Lu collectors) for the CCDs. A dark scan, three light scans, and a dark scan are taken at each channel. MOBY Band 1 MOBY Times Series, 22 hour 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 Mean 2.049 SeaWiFS nlw (µw/cm²/nm) Band 4 Band 3 Band 2 Mean 1.706 Mean 1.132 Mean 0.638 In-Water Diver Cals Band 5 Band 6 Mean 0.264 Mean 0.010 Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Jul Sequential Day

New Sensor Simultaneous Acquisition Romack fiber optic input (currently 14 channels) Princeton Instrument PIXIS CCD RILS image of diffuse solar flux Blue In Line Spectrograph (BILS) Resonon Volume Phase Holographic (VPH) in line spectrograph Average net ADU/sec for each channel Red In Line Spectrograph (RILS) The inputs to the optical fibers are at the desired locations. The fiber outputs are aligned vertically at the entrance slit. The prism-grating-prism in-line optical system (Resonon, Inc.) images the different input channels at the same time on the CCD camera), spaced along the slit direction.

Project History & Status Breadboard two systems, SIRCUS characterization, field tests JY CP140 spectrograph, Andor camera, 4 inputs Kaiser Holospec, Apogee camera, 6 inputs Custom optical designs Resonon spectrographs (blue and red), Romack input fiber bundles, and Princeton Instruments cameras are procured and operational Characterizations well underway Testing of packaged field system Aug 2010

Simultaneous Systems & Sample Number The simultaneous design places no restriction on the number of samples averaged. This is an advantage compared to MOBY, where the sequential measurements of Es, LuMid, Es, LuTop, Es, LuBot, Es, LuMOS, Es means an increase in number of samples would increase the time between these data collections, impacting the determination of Lw. Band averaged results with a prototype 6-channel hyperspectral system tested in Case 1 waters off Oahu. Five to 100 scans were acquired with 4 sec integration times. Yarbrough, M.A., S. Flora, M.E. Feinholz, T. Houlihan, Y.S. Kim, S.W. Brown, B.C. Johnson, K. Voss and D.K Clark (2007). Simultaneous measurement of up-welling spectral radiance using a fiber-coupled CCD spectrograph. Proc. SPIE 6680, 66800J-1 to 66800J-11.

Simultaneous Systems & Correlated Noise The effect of correlations in the light field was investigated by deriving L w (λ) from four simultaneous L u (λ)s (Kaiser/Apogee), and by randomly sampling the L u (λ) scans in time to simulate the current MOBY sampling statistics. The measurement uncertainty was reduced between 20% to 60% for the ocean color bands. 0.65 0.6 Change in std (MOBY- ANDOR)/MOBY 0.55 0.5 0.45 0.4 0.35 0.3 0.25 0.2 400 450 500 550 600 650 700 Wavelength (nm)

In-Line Spectrograph Parameters from Optical Design Parameter Blue Red Size, cm 13.7 x 41.7 13.7 x 43.2 Spectral coverage, nm 370-720 500-900 Spectral resolution, nm 0.34 0.39 Image at focal plane, mm 13 x 13 13 x 13 Slit dimensions, mm 13 x 0.025 13 x 0.025 Thermal effect, pixel/deg C < 0.05 pixel < 0.05 pixel MTF @ 38 line pr / mm 76 at 545 nm 61 at 700 nm Throughput, % 74.8 at 430 nm 72.5 at 700 nm Ghosting / Stray Light < 0.5% at 420 nm < 0.6% at 520 nm Report on Blue and Red Imaging Spectrometers for MOBY, Michael Kehoe and Casey Dodge, Resonon, Inc.

Characterization Results To Date Two Spectrographs: Blue system: Romack fiber bundle (14 fibers, 800 μm core); Blue In-Line Spectrograph (BILS); Princeton Pixis 1024B back illuminated CCD (13 μm pixels) Red system: Romack fiber bundle (14 fibers, 800 μm core); Red In-Line Spectrograph (RILS); Princeton Pixis 1024BR back illuminated, deep depletion CCD (13 μm pixels) Tests to date: noise, wavelength calibration, spectral stray light, imaging behavior, system response

Noise CCD Camera System Features Fast & Slow digitization rate; three gain settings (number of electrons to get one ADU) four stage TEC holds CCD at -75 C ~ 600 ADU built-in offset Tests showed low dark count rate, μ=0.0028, σ=0.0011 ADU/sec (track 7) digitization at 2MHz vs 100kHz did not compromise dark noise

Wavelength Calibration w/ Hg Lamp Coverage 372 to 734 nm, step 0.354 nm Preliminary fits to polynomials No dependence with track if smile were an issue we would see this here

Laser Characterization on SIRCUS BILS initial testing on SIRCUS; focus was on Track 7. Results are very encouraging, both in spectral and spatial dimension: ~10-5. The spectral stray light is the best we ve seen so far for a single grating system. BILS is 20x better than MOS in terms of integrated area.

Imaging Behavior Track 8 Track 1 There is measureable keystone, which affects our planned on-chip hardware binning (a method to reduce noise and increases dynamic range). This can be corrected by optimizing the optical design in the final systems. There is an obvious non-uniformity in the spatial (slit) direction, the saddle. This effect appears stable and is under investigation: partial coherence at the slit or spatial mode effects in the short fibers used in the test? All results shown here were averaged over the 41 rows between the vertical lines indicated.

Inter-reflections in BILS Track 2 illuminated, artifact on Track 13: Note scale change in this split image (100 ADU vs 15,000 ADU) We discovered that there is an artifact that appears in the same wavelength region (~410 nm) independent of the wavelength of the input flux and paired with the track illuminated: light on 1 shows on 14, light on 2 shows on 13,... light on 7 shows on 7, etc. The explanation by Resonon s modeling is dispersed light reflecting off the CCD is recombining upon reentry into the prism/grating/prism assembly (e.g, as in a double subtractive system), and then being imaged in zero order. This interreflection is caused by a protective coating of SiO 2 that will not be used in a final production system.

System Response & Preliminary Stray Light Correction Algorithms A preliminary SLC matrix was determined from the SIRCUS data. Validation data were acquired using various sources (filtered lamp; LED, laser). No SLC corrections are applied to the data shown here. (A)the known L(λ) for this validation source; (B)the net ADU/sec for BILS; (C)the derived system response from B/A (A) Note: A and B are not that different for PER! (B) (C) The responses disagree in regions where stray light (or the artifact) is contributing strongly. This will be removed with the SLC and algorithm.

Conclusion We re on track; no hardware show stoppers for a superb sensor for field radiometry Team members: NIST (Johnson, Saunders, Li, Clark, Parr) MLML (Yarbrough, Feinholz, Flora, Houlihan) Resonon (Kehoe, Dodge, Swanson) UM (Voss) Implementation for MOBY-C depends on funding profile