SlideShare a Scribd company logo
1 of 1
Download to read offline
Development of Image Analysis Routines for WFIRST Detector Characterization
Davis Unruh1
, Jonathan Mah2
, Laddawan Miko2
Bowdoin College1
, NASA Goddard Space Flight Center2
Abstract
In order to compare the performance of IR imaging detectors for astronomy applications, the
image data needs to be analyzed to produce certain figures of merit. Most notable are dark
current, noise, gain, and quantum efficiency. Depending on the operating conditions such as
temperature and voltage bias, these can vary for a particular detector. It is important to be
able to accurately represent these statistics in order to properly compare detectors. This pro-
ject examines the design and development of image analysis routines to characterize different
properties of IR detectors. Over the course of the project, these routines were developed in
the form of a graphical interface to measure these different properties for data read out of a
generic square IR detector. The figures of merit generated using this interface will be com-
pared across detectors and varying operating conditions, and used in the process of develop-
ing and improving the detectors for eventual use in the WFIRST telescope.
Acknowledgements
I would like to thank the Maine Space Grant Consortium for providing the
groundwork for the internship opportunity.
I would also like to thank Jon Mah for his help and guidance throughout the
duration of the project, as well as Laddawan Miko for her support and the op-
portunity to work with the WFIRST project.
Methods
The GUI was designed to read in sequences of files, excluding frames or
bounding the detector area as needed. This data can be masked using a
Gaussian fit, and the statistical method for choosing data points of interest
can be varied. The figures of merit that can be generated are:
Various methods have been implemented for generating these figures,
depending on the format of presentation the user wants.
Introduction and Background
WFIRST, the Wide-Field InfraRed Survey Telescope, is a space mission
designed to answer fundamental questions in the areas of dark energy,
exoplanets, and infrared astrophysics.
Essential to the operation of WFIRST is a set of large format focal plane
arrays, HgCdTe CMOS detectors, which have a high quantum efficiency
in the SWIR spectrum. These detectors are tuned to have very low
dark current, such that you can observe very faint stellar objects.
This project is part of the process of developing these detectors. It is
designed to streamline the process of applying statistical methods to
detector image data, by combining separate routines into a single GUI.
The goal is not only to compress the time scale of running image analy-
sis, but to also provide a consistent platform through which to process
image data and run analysis routines.
This ensures that data is properly displayed for comparison purposes.
Conclusion
The project was a success. The GUI does its job well: figures of merit are
now easier and faster to generate, and more standardized in how they
are generated relative to each other.
The process of altering background variables for visualization purposes
is more consistent, changes and adjustments will affect all figures
equally without any alterations necessary to the code used to generate
any figures. Combined with the variety of methods coded into the GUI
for generating figures, the GUI enhances flexibility and speed in visualiz-
ing data.
This project will be used for future detector image analysis, both for the
WFIRST program as well as other detectors. It is a step towards mini-
malizing the process of generating figures of merit, allowing focus on
the process of generating data, and analyzing results.
DETECTOR
HEATERS &
TEMP SENSORS
LN2 TANK
TEMPERATURE
CONTROLLERS
COPPER STRAPS
DEWARINTERFACE
BIAS
CLOCK
VIDEO
READOUT
ELECTRONICS
A—D
BIAS & CLOCK
GENERATOR
PC
FRAME
GRABBER
GUI
CURRENT
SOURCE
DEWAR
Detector Data Collection Set-up
 Dark Current
 Gain
 Persistence
 Noise
 Signal Histograms
ROIC
FANOUTPCB
LED

More Related Content

What's hot

3D Analyst - Lake Lorelindu by GRASS
3D Analyst - Lake Lorelindu by GRASS3D Analyst - Lake Lorelindu by GRASS
3D Analyst - Lake Lorelindu by GRASSHartanto Sanjaya
 
DSD-INT 2015 - Foreshore wave attenuation modelling with Xbeach using EO data...
DSD-INT 2015 - Foreshore wave attenuation modelling with Xbeach using EO data...DSD-INT 2015 - Foreshore wave attenuation modelling with Xbeach using EO data...
DSD-INT 2015 - Foreshore wave attenuation modelling with Xbeach using EO data...Deltares
 
Data analytics space
Data analytics  spaceData analytics  space
Data analytics spaceM S Prasad
 
Drones and A.I in Earth Science
Drones and A.I in Earth ScienceDrones and A.I in Earth Science
Drones and A.I in Earth ScienceARDC
 
Air quality challenges and business opportunities in China: Fusion of environ...
Air quality challenges and business opportunities in China: Fusion of environ...Air quality challenges and business opportunities in China: Fusion of environ...
Air quality challenges and business opportunities in China: Fusion of environ...CLIC Innovation Ltd
 
Big Data, Data and Information Mining for Earth Observation
Big Data, Data and Information Mining for Earth ObservationBig Data, Data and Information Mining for Earth Observation
Big Data, Data and Information Mining for Earth ObservationPier Giorgio Marchetti
 
Field Activity Planner - A cloud based digital energy platform
Field Activity Planner - A cloud based digital energy platformField Activity Planner - A cloud based digital energy platform
Field Activity Planner - A cloud based digital energy platformFutureOn
 
Using deep learning in remote sensing
Using deep learning in remote sensingUsing deep learning in remote sensing
Using deep learning in remote sensingMohamed Yousif
 
Multi spectral imaging sensors
Multi spectral imaging sensorsMulti spectral imaging sensors
Multi spectral imaging sensorsLanrewaju ADETUNJI
 
AI Research and OpenPOWER at the NASA Frontier Development Lab
AI Research and OpenPOWER at the NASA Frontier Development LabAI Research and OpenPOWER at the NASA Frontier Development Lab
AI Research and OpenPOWER at the NASA Frontier Development LabGanesan Narayanasamy
 
Combining remote sensing earth observations and in situ networks: detection o...
Combining remote sensing earth observations and in situ networks: detection o...Combining remote sensing earth observations and in situ networks: detection o...
Combining remote sensing earth observations and in situ networks: detection o...Integrated Carbon Observation System (ICOS)
 
Two-year assessment of Nowcasting performance in the CASA system
Two-year assessment of Nowcasting performance in the CASA systemTwo-year assessment of Nowcasting performance in the CASA system
Two-year assessment of Nowcasting performance in the CASA systemgrssieee
 
Analysis_of_Remote_Sensing_Quantitative_Inversion_in_Cloud_Computing.ppt
Analysis_of_Remote_Sensing_Quantitative_Inversion_in_Cloud_Computing.pptAnalysis_of_Remote_Sensing_Quantitative_Inversion_in_Cloud_Computing.ppt
Analysis_of_Remote_Sensing_Quantitative_Inversion_in_Cloud_Computing.pptgrssieee
 
3D Analyst - Lake, Jatiluhur
3D Analyst - Lake, Jatiluhur3D Analyst - Lake, Jatiluhur
3D Analyst - Lake, JatiluhurHartanto Sanjaya
 
Overview - Track Group Analytics
Overview - Track Group AnalyticsOverview - Track Group Analytics
Overview - Track Group AnalyticsToby Keeping
 

What's hot (20)

Lab 1 copy
Lab 1   copyLab 1   copy
Lab 1 copy
 
Introduction To GIS
Introduction To GISIntroduction To GIS
Introduction To GIS
 
3D Analyst - Lake Lorelindu by GRASS
3D Analyst - Lake Lorelindu by GRASS3D Analyst - Lake Lorelindu by GRASS
3D Analyst - Lake Lorelindu by GRASS
 
DSD-INT 2015 - Foreshore wave attenuation modelling with Xbeach using EO data...
DSD-INT 2015 - Foreshore wave attenuation modelling with Xbeach using EO data...DSD-INT 2015 - Foreshore wave attenuation modelling with Xbeach using EO data...
DSD-INT 2015 - Foreshore wave attenuation modelling with Xbeach using EO data...
 
NASA's Movement Towards Cloud Computing
NASA's Movement Towards Cloud ComputingNASA's Movement Towards Cloud Computing
NASA's Movement Towards Cloud Computing
 
Data analytics space
Data analytics  spaceData analytics  space
Data analytics space
 
Drones and A.I in Earth Science
Drones and A.I in Earth ScienceDrones and A.I in Earth Science
Drones and A.I in Earth Science
 
Open drones
Open dronesOpen drones
Open drones
 
Air quality challenges and business opportunities in China: Fusion of environ...
Air quality challenges and business opportunities in China: Fusion of environ...Air quality challenges and business opportunities in China: Fusion of environ...
Air quality challenges and business opportunities in China: Fusion of environ...
 
Big Data, Data and Information Mining for Earth Observation
Big Data, Data and Information Mining for Earth ObservationBig Data, Data and Information Mining for Earth Observation
Big Data, Data and Information Mining for Earth Observation
 
Field Activity Planner - A cloud based digital energy platform
Field Activity Planner - A cloud based digital energy platformField Activity Planner - A cloud based digital energy platform
Field Activity Planner - A cloud based digital energy platform
 
Using deep learning in remote sensing
Using deep learning in remote sensingUsing deep learning in remote sensing
Using deep learning in remote sensing
 
Multi spectral imaging sensors
Multi spectral imaging sensorsMulti spectral imaging sensors
Multi spectral imaging sensors
 
AI Research and OpenPOWER at the NASA Frontier Development Lab
AI Research and OpenPOWER at the NASA Frontier Development LabAI Research and OpenPOWER at the NASA Frontier Development Lab
AI Research and OpenPOWER at the NASA Frontier Development Lab
 
Combining remote sensing earth observations and in situ networks: detection o...
Combining remote sensing earth observations and in situ networks: detection o...Combining remote sensing earth observations and in situ networks: detection o...
Combining remote sensing earth observations and in situ networks: detection o...
 
Two-year assessment of Nowcasting performance in the CASA system
Two-year assessment of Nowcasting performance in the CASA systemTwo-year assessment of Nowcasting performance in the CASA system
Two-year assessment of Nowcasting performance in the CASA system
 
Recent and Planned Improvements to the System Advisor Model
Recent and Planned Improvements to the System Advisor ModelRecent and Planned Improvements to the System Advisor Model
Recent and Planned Improvements to the System Advisor Model
 
Analysis_of_Remote_Sensing_Quantitative_Inversion_in_Cloud_Computing.ppt
Analysis_of_Remote_Sensing_Quantitative_Inversion_in_Cloud_Computing.pptAnalysis_of_Remote_Sensing_Quantitative_Inversion_in_Cloud_Computing.ppt
Analysis_of_Remote_Sensing_Quantitative_Inversion_in_Cloud_Computing.ppt
 
3D Analyst - Lake, Jatiluhur
3D Analyst - Lake, Jatiluhur3D Analyst - Lake, Jatiluhur
3D Analyst - Lake, Jatiluhur
 
Overview - Track Group Analytics
Overview - Track Group AnalyticsOverview - Track Group Analytics
Overview - Track Group Analytics
 

Similar to WFIRST Poster Small File Size

Satellite Image Classification and Analysis using Machine Learning with ISRO ...
Satellite Image Classification and Analysis using Machine Learning with ISRO ...Satellite Image Classification and Analysis using Machine Learning with ISRO ...
Satellite Image Classification and Analysis using Machine Learning with ISRO ...IRJET Journal
 
Generating higher accuracy digital data products by model parameter
Generating higher accuracy digital data products by model parameterGenerating higher accuracy digital data products by model parameter
Generating higher accuracy digital data products by model parameterIAEME Publication
 
Prediction of Wireless Sensor Network and Attack using Machine Learning Techn...
Prediction of Wireless Sensor Network and Attack using Machine Learning Techn...Prediction of Wireless Sensor Network and Attack using Machine Learning Techn...
Prediction of Wireless Sensor Network and Attack using Machine Learning Techn...IRJET Journal
 
understanding the planet using satellites and deep learning
understanding the planet using satellites and deep learningunderstanding the planet using satellites and deep learning
understanding the planet using satellites and deep learningAlbert Pujol Torras
 
IRJET- Surveillance of Object Motion Detection and Caution System using B...
IRJET-  	  Surveillance of Object Motion Detection and Caution System using B...IRJET-  	  Surveillance of Object Motion Detection and Caution System using B...
IRJET- Surveillance of Object Motion Detection and Caution System using B...IRJET Journal
 
Sensor Network to monitor Atmosphere for Green House and Agriculture Sciences
Sensor Network to monitor Atmosphere for Green House and Agriculture SciencesSensor Network to monitor Atmosphere for Green House and Agriculture Sciences
Sensor Network to monitor Atmosphere for Green House and Agriculture SciencesKarthik Sharma
 
Review on Object Counting System
Review on Object Counting SystemReview on Object Counting System
Review on Object Counting SystemIRJET Journal
 
Object Detection with Computer Vision
Object Detection with Computer VisionObject Detection with Computer Vision
Object Detection with Computer VisionIRJET Journal
 
Real-Time Map Building using Ultrasound Scanning
Real-Time Map Building using Ultrasound ScanningReal-Time Map Building using Ultrasound Scanning
Real-Time Map Building using Ultrasound ScanningIRJET Journal
 
Report on Enhancing the performance of WSN
Report on Enhancing the performance of WSNReport on Enhancing the performance of WSN
Report on Enhancing the performance of WSNDheeraj Kumar
 
IRJET- Criminal Recognization in CCTV Surveillance Video
IRJET-  	  Criminal Recognization in CCTV Surveillance VideoIRJET-  	  Criminal Recognization in CCTV Surveillance Video
IRJET- Criminal Recognization in CCTV Surveillance VideoIRJET Journal
 
Signal Classification and Identification for Cognitive Radio: A Review
Signal Classification and Identification for Cognitive Radio: A ReviewSignal Classification and Identification for Cognitive Radio: A Review
Signal Classification and Identification for Cognitive Radio: A ReviewIRJET Journal
 
Human Activity Recognition Using Smartphone
Human Activity Recognition Using SmartphoneHuman Activity Recognition Using Smartphone
Human Activity Recognition Using SmartphoneIRJET Journal
 
REAL-TIME PEDESTRIAN DETECTION USING APACHE STORM IN A DISTRIBUTED ENVIRONMENT
REAL-TIME PEDESTRIAN DETECTION USING APACHE STORM IN A DISTRIBUTED ENVIRONMENTREAL-TIME PEDESTRIAN DETECTION USING APACHE STORM IN A DISTRIBUTED ENVIRONMENT
REAL-TIME PEDESTRIAN DETECTION USING APACHE STORM IN A DISTRIBUTED ENVIRONMENTcscpconf
 
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment csandit
 
IRJET- Profile Management System
IRJET- Profile Management SystemIRJET- Profile Management System
IRJET- Profile Management SystemIRJET Journal
 
Ieeepro techno solutions 2013 ieee embedded project design of a wsn platfor...
Ieeepro techno solutions   2013 ieee embedded project design of a wsn platfor...Ieeepro techno solutions   2013 ieee embedded project design of a wsn platfor...
Ieeepro techno solutions 2013 ieee embedded project design of a wsn platfor...srinivasanece7
 
Geo Spatial Data And it’s Quality Assessment
Geo Spatial Data And it’s Quality AssessmentGeo Spatial Data And it’s Quality Assessment
Geo Spatial Data And it’s Quality AssessmentIRJET Journal
 
IRJET- 3D Object Recognition of Car Image Detection
IRJET-  	  3D Object Recognition of Car Image DetectionIRJET-  	  3D Object Recognition of Car Image Detection
IRJET- 3D Object Recognition of Car Image DetectionIRJET Journal
 

Similar to WFIRST Poster Small File Size (20)

Satellite Image Classification and Analysis using Machine Learning with ISRO ...
Satellite Image Classification and Analysis using Machine Learning with ISRO ...Satellite Image Classification and Analysis using Machine Learning with ISRO ...
Satellite Image Classification and Analysis using Machine Learning with ISRO ...
 
Generating higher accuracy digital data products by model parameter
Generating higher accuracy digital data products by model parameterGenerating higher accuracy digital data products by model parameter
Generating higher accuracy digital data products by model parameter
 
Prediction of Wireless Sensor Network and Attack using Machine Learning Techn...
Prediction of Wireless Sensor Network and Attack using Machine Learning Techn...Prediction of Wireless Sensor Network and Attack using Machine Learning Techn...
Prediction of Wireless Sensor Network and Attack using Machine Learning Techn...
 
understanding the planet using satellites and deep learning
understanding the planet using satellites and deep learningunderstanding the planet using satellites and deep learning
understanding the planet using satellites and deep learning
 
IRJET- Surveillance of Object Motion Detection and Caution System using B...
IRJET-  	  Surveillance of Object Motion Detection and Caution System using B...IRJET-  	  Surveillance of Object Motion Detection and Caution System using B...
IRJET- Surveillance of Object Motion Detection and Caution System using B...
 
Sensor Network to monitor Atmosphere for Green House and Agriculture Sciences
Sensor Network to monitor Atmosphere for Green House and Agriculture SciencesSensor Network to monitor Atmosphere for Green House and Agriculture Sciences
Sensor Network to monitor Atmosphere for Green House and Agriculture Sciences
 
Review on Object Counting System
Review on Object Counting SystemReview on Object Counting System
Review on Object Counting System
 
Object Detection with Computer Vision
Object Detection with Computer VisionObject Detection with Computer Vision
Object Detection with Computer Vision
 
Real-Time Map Building using Ultrasound Scanning
Real-Time Map Building using Ultrasound ScanningReal-Time Map Building using Ultrasound Scanning
Real-Time Map Building using Ultrasound Scanning
 
Report on Enhancing the performance of WSN
Report on Enhancing the performance of WSNReport on Enhancing the performance of WSN
Report on Enhancing the performance of WSN
 
IRJET- Criminal Recognization in CCTV Surveillance Video
IRJET-  	  Criminal Recognization in CCTV Surveillance VideoIRJET-  	  Criminal Recognization in CCTV Surveillance Video
IRJET- Criminal Recognization in CCTV Surveillance Video
 
Signal Classification and Identification for Cognitive Radio: A Review
Signal Classification and Identification for Cognitive Radio: A ReviewSignal Classification and Identification for Cognitive Radio: A Review
Signal Classification and Identification for Cognitive Radio: A Review
 
Human Activity Recognition Using Smartphone
Human Activity Recognition Using SmartphoneHuman Activity Recognition Using Smartphone
Human Activity Recognition Using Smartphone
 
REAL-TIME PEDESTRIAN DETECTION USING APACHE STORM IN A DISTRIBUTED ENVIRONMENT
REAL-TIME PEDESTRIAN DETECTION USING APACHE STORM IN A DISTRIBUTED ENVIRONMENTREAL-TIME PEDESTRIAN DETECTION USING APACHE STORM IN A DISTRIBUTED ENVIRONMENT
REAL-TIME PEDESTRIAN DETECTION USING APACHE STORM IN A DISTRIBUTED ENVIRONMENT
 
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment
Real-Time Pedestrian Detection Using Apache Storm in a Distributed Environment
 
IRJET- Profile Management System
IRJET- Profile Management SystemIRJET- Profile Management System
IRJET- Profile Management System
 
Ieeepro techno solutions 2013 ieee embedded project design of a wsn platfor...
Ieeepro techno solutions   2013 ieee embedded project design of a wsn platfor...Ieeepro techno solutions   2013 ieee embedded project design of a wsn platfor...
Ieeepro techno solutions 2013 ieee embedded project design of a wsn platfor...
 
Geo Spatial Data And it’s Quality Assessment
Geo Spatial Data And it’s Quality AssessmentGeo Spatial Data And it’s Quality Assessment
Geo Spatial Data And it’s Quality Assessment
 
F05843238
F05843238F05843238
F05843238
 
IRJET- 3D Object Recognition of Car Image Detection
IRJET-  	  3D Object Recognition of Car Image DetectionIRJET-  	  3D Object Recognition of Car Image Detection
IRJET- 3D Object Recognition of Car Image Detection
 

WFIRST Poster Small File Size

  • 1. Development of Image Analysis Routines for WFIRST Detector Characterization Davis Unruh1 , Jonathan Mah2 , Laddawan Miko2 Bowdoin College1 , NASA Goddard Space Flight Center2 Abstract In order to compare the performance of IR imaging detectors for astronomy applications, the image data needs to be analyzed to produce certain figures of merit. Most notable are dark current, noise, gain, and quantum efficiency. Depending on the operating conditions such as temperature and voltage bias, these can vary for a particular detector. It is important to be able to accurately represent these statistics in order to properly compare detectors. This pro- ject examines the design and development of image analysis routines to characterize different properties of IR detectors. Over the course of the project, these routines were developed in the form of a graphical interface to measure these different properties for data read out of a generic square IR detector. The figures of merit generated using this interface will be com- pared across detectors and varying operating conditions, and used in the process of develop- ing and improving the detectors for eventual use in the WFIRST telescope. Acknowledgements I would like to thank the Maine Space Grant Consortium for providing the groundwork for the internship opportunity. I would also like to thank Jon Mah for his help and guidance throughout the duration of the project, as well as Laddawan Miko for her support and the op- portunity to work with the WFIRST project. Methods The GUI was designed to read in sequences of files, excluding frames or bounding the detector area as needed. This data can be masked using a Gaussian fit, and the statistical method for choosing data points of interest can be varied. The figures of merit that can be generated are: Various methods have been implemented for generating these figures, depending on the format of presentation the user wants. Introduction and Background WFIRST, the Wide-Field InfraRed Survey Telescope, is a space mission designed to answer fundamental questions in the areas of dark energy, exoplanets, and infrared astrophysics. Essential to the operation of WFIRST is a set of large format focal plane arrays, HgCdTe CMOS detectors, which have a high quantum efficiency in the SWIR spectrum. These detectors are tuned to have very low dark current, such that you can observe very faint stellar objects. This project is part of the process of developing these detectors. It is designed to streamline the process of applying statistical methods to detector image data, by combining separate routines into a single GUI. The goal is not only to compress the time scale of running image analy- sis, but to also provide a consistent platform through which to process image data and run analysis routines. This ensures that data is properly displayed for comparison purposes. Conclusion The project was a success. The GUI does its job well: figures of merit are now easier and faster to generate, and more standardized in how they are generated relative to each other. The process of altering background variables for visualization purposes is more consistent, changes and adjustments will affect all figures equally without any alterations necessary to the code used to generate any figures. Combined with the variety of methods coded into the GUI for generating figures, the GUI enhances flexibility and speed in visualiz- ing data. This project will be used for future detector image analysis, both for the WFIRST program as well as other detectors. It is a step towards mini- malizing the process of generating figures of merit, allowing focus on the process of generating data, and analyzing results. DETECTOR HEATERS & TEMP SENSORS LN2 TANK TEMPERATURE CONTROLLERS COPPER STRAPS DEWARINTERFACE BIAS CLOCK VIDEO READOUT ELECTRONICS A—D BIAS & CLOCK GENERATOR PC FRAME GRABBER GUI CURRENT SOURCE DEWAR Detector Data Collection Set-up  Dark Current  Gain  Persistence  Noise  Signal Histograms ROIC FANOUTPCB LED