1 Douglas L. Tucker (FNAL) Cloud Camera Review 3 January 2008 DES Sky Camera (Cloud Camera)

Slides:



Advertisements
Similar presentations
Storing Data: Disk Organization and I/O
Advertisements

Sorting Really Big Files Sorting Part 3. Using K Temporary Files Given  N records in file F  M records will fit into internal memory  Use K temp files,
CMSC 2006 Orlando Active Alignment System for the LSST William J. Gressler LSST Project National Optical Astronomy Observatory (NOAO) Scott Sandwith New.
IR Cloud Camera D. Burke DES Calibration Telecon May 13, 2009.
All these Sky Pixels Are Yours The evolution of telescopes and CCD Arrays: The Coming Data Nightmare.
Nighttime Driving Capabilities for Rovers Danielle Ator Tim Eddy Jack Hompland.
OT and the Systematic Automated All-sky Search for Bright Optical Transients Lior Shamir & Robert J. Nemiroff Abstract Real-time detection of bright.
Sept. 18, 2008SLUO 2008 Annual Meeting Science Opportunities with LSST David L. Burke SLAC/KIPAC.
Expanding Fisheye Webcam Network Now Capable of Monitoring Most of the Night Sky Robert J. Nemiroff (Michigan Tech), Hugo.E. Schwarz (CTIO), The CONCAM.
GOES-13 Science Team Report SST Images and Analyses Eileen Maturi, STAR/SOCD, Camp Springs, MD Andy Harris, CICS, University of Maryland, MD Chris Merchant,
CONCAM All-Sky Maps of Airglow and Opacity Robert J. Nemiroff & Lior Shamir & The Night Sky Live Collaboration.
Real-Time Face Detection and Tracking Using Multiple Cameras RIT Computer Engineering Senior Design Project John RuppertJustin HnatowJared Holsopple This.
Methods Eye (visible window) Camera – film Camera – CCD (Digital) Collecting Electromagnetic Information.
DATA PRESERVATION IN ALICE FEDERICO CARMINATI. MOTIVATION ALICE is a 150 M CHF investment by a large scientific community The ALICE data is unique and.
Software Development, Programming, Testing & Implementation.
The KPNO 4m “Mayall” Telescope Arjun Dey (NOAO). National Optical Astronomy Observatory Mission: provide the best ground-based astronomical capabilities.
Computer Fundamentals. A Computer Is a System Input Processing Output Data is entered into the computer Becomes useful information The data is processed.
November 2009 Network Disaster Recovery October 2014.
11 The Ultimate Upgrade Nicholas Garcia Bell Helicopter Textron.
Records Survey and Retention Schedule Recertification 2011.
Infrared Telescopes 1.
Prepared by George Holt Digital Photography BITMAP GRAPHIC ESSENTIALS.
NEO Research Project in Korea Wonyong Han 1, Yong-Ik Byun 2, Hong-Suh Yim 1, Young-Jun Choi 1, Hong-Kyu Moon 1 & NESS Team 1 Korea Astronomy and Space.
Day 10 Hardware Fault Tolerance RAID. High availability All servers should be on UPSs –2 Types Smart UPS –Serial cable connects from UPS to computer.
What is it a scanner? An optical input device that uses light- sensing equipment to capture an image on paper or some other subject. The image is translated.
Chapter 6: The Tools of the Astronomer. Telescopes come in two general types Refractors use lenses to bend the light to a focus Reflectors use mirrors.
Douglas L. Tucker (FNAL) SISPI Meeting 22 February 2007 Sky Camera DB Inputs.
MCAO Laser Coordination and SALSA Jacques Sebag / Corinne Boyer.
ZTF Server Architecture Roger Smith Caltech
National Center for Supercomputing Applications Observational Astronomy NCSA projects radio astronomy: CARMA & SKA optical astronomy: DES & LSST access:
A visible-light AO system for the 4.2 m SOAR telescope A. Tokovinin, B. Gregory, H. E. Schwarz, V. Terebizh, S. Thomas.
Calibration Plan for Early DES Data
Maintaining File Services. Shadow Copies of Shared Folders Automatically retains copies of files on a server from specific points in time Prevents administrators.
Administrative Software Chapter 7 Teaching and Learning with Technology.
1 DES Photometric Calibration Strategy Douglas L. Tucker (FNAL) Filter and Calibrations Strategy Workshop 4 April 2008.
Telescope Guiding with a HyViSI H2RG Used in Guide Mode Lance Simms Detectors for Astronomy /2/09.
1 The Photometric Calibration of the DES Douglas L. Tucker (FNAL) Joint DOE/NSF Review of DES January 2008.
Computer Basics Terminology - Take Notes. What is a computer? well, what is the technical definition A computer is a machine that changes information.
Pachon Sky Camera Christopher Stubbs Chuck Claver Jan 25, 2014.
1 PreCam Update: Simulations Douglas Tucker, DES-Calib Telecon, 28 Jan 2008 Courtesy: NOAO/AURA/NSF UM Curtis-Schmidt SMARTS 1m SMARTS 1.5m SMARTS 0.9m.
The Case for a New CONCAM3 Robert J. Nemiroff for the CONCAM Collaboration.
Dark Energy Survey (DES) (Presenter: Douglas Tucker) DES is observing (Aug. 15 th – Feb. 15 th ) Year 2 Operations Collaboration Meeting in Sussex, UK,
DMBS Internals I. What Should a DBMS Do? Store large amounts of data Process queries efficiently Allow multiple users to access the database concurrently.
1 The DES Calibrations Effort Douglas L. Tucker (DES Calibrations Scientist) DES NSF/DOE Review, 8-9 June 2009 The DES Calibrations Effort has connections.
All-Dome - All-Sky Time-Lapse Movies For Planetaria.
Data Archives: Migration and Maintenance Douglas J. Mink Telescope Data Center Smithsonian Astrophysical Observatory NSF
LSST VAO Meeting March 24, 2011 Tucson, AZ. Headquarters Site Headquarters Facility Observatory Management Science Operations Education and Public Outreach.
ADMIT: ALMA Data Mining Toolkit  Developed by University of Maryland, University of Illinois, and NRAO (PI: L. Mundy)  Goal: First-view science data.
Slide 1 What Happens Before A Disk Fails? Randi Thomas, Nisha Talagala
Thessaloniki, Oct 3rd 2009 Cool dusty galaxies: the impact of the Herschel mission Michael Rowan-Robinson Imperial College London.
The HESSI Imaging Process. How HESSI Images HESSI will make observations of the X-rays and gamma-rays emitted by solar flares in such a way that pictures.
1 Small Telescopes and the Photometric Calibration of the Sloan Digital Sky Survey (SDSS) Douglas Tucker.
Status of Cloud Cameras Roger Clay, Paul Davidson, Bruce Dawson, Andrew Smith and Neville Wild University of Adelaide Malargue, 11 November 2002.
Overview of Luminus support for fiber coupling applications
MMT Observation Database for Light Curve Analysis Vladimir Agapov Presentation for the WG1 session 33rd IADC meeting, Houston.
Mountaintop Software for the Dark Energy Camera Jon Thaler 1, T. Abbott 2, I. Karliner 1, T. Qian 1, K. Honscheid 3, W. Merritt 4, L. Buckley-Geer 4 1.
ADMIT: ALMA Data Mining Toolkit  Developed by University of Maryland, University of Illinois, and NRAO (PI: L. Mundy)  Goal: First-view science data.
DMBS Internals I February 24 th, What Should a DBMS Do? Store large amounts of data Process queries efficiently Allow multiple users to access the.
DMBS Internals I. What Should a DBMS Do? Store large amounts of data Process queries efficiently Allow multiple users to access the database concurrently.
GSPC -II Program GOAL: extend GSPC-I photometry to B = V ˜ 20 add R band to calibrate red second-epoch surveys HOW: take B,V,R CCD exposures centered at.
1 Lecture 16: Data Storage Wednesday, November 6, 2006.
CI-110 Plant Canopy Analyzer Instrument Training Conducted by: Brienne Meyer
Calculating Processing and Storage requirements for Megapixel CCTV
Observation of RR Lyrae Variable RS Boo Results and Future Work
Calibrating the METEOSAT SEVIRI solar channels using lunar observations Sébastien Wagner (1) Bartolomeo Viticchie (1), Tom Stone (2), Tim Hewison(1), Gary.
Lecture 16: Data Storage Wednesday, November 6, 2006.
Optical Survey Astronomy DATA at NCSA
Associated Hardware and File Handling
Lecture 11: DMBS Internals
Announcements HR Diagram lab will be extended for one week. I’ll talk about it today. Homework: Chapter 9 # 1, 2 & 3 Next week is a Dark Sky Night. If.
Presentation transcript:

1 Douglas L. Tucker (FNAL) Cloud Camera Review 3 January 2008 DES Sky Camera (Cloud Camera)

2 SkyCam Purpose An All-Sky Camera is needed in order to: Provide real-time estimates of the sky conditions for survey strategy E.g.: “Should the next target be a photometric calibration field, a science target, or something else?” Provide a measure of the photometric quality of an image E.g.: “This image was obtained under such-and-such conditions; is it good enough to be used for photometric calibrations?” Detect even light cirrus for the above purposes under a full range of moon phases (no moon to full moon)

3 SkyCam Functional Overview The Sky Camera system should*: 1.Image the full sky at a wavelength of ~10 microns once every 30 seconds throughout the course of nightly operations of the Blanco 4.0m telescope. 2.Process the images in real-time. 3.Output in real-time a GIF version of the processed image to a webpage. 4.Output in real-time a quantitative diagnostic indicating the cloudiness of the sky (e.g., the rms of the pixel values from the most recent processed image) to a web-accessible graph and to an archival database. 5.Create and animation based upon the processed images from the past hour to detect cloud movement, and output this animation to a webpage. 6.Create an animation based upon the full night’s processed images at the end of each night. 7.Archive the raw and processed FITS images, processed GIF files, and the full-night animation to a web-accessible directory. * Based upon the functionality of the APO 10 micron all-sky camera, which, in its current incarnation has been operating successfully since 2001.

4 APO 10 micron All-Sky Camera Output Clear Cloudy

5 Proposed SkyCam DB Inputs SkyCam table in DB: Date & Time Stamp (UT/TAI) mean sky brightness std dev of sky brightness “photometricity” flag (0/1) (or threshold value of the std dev of sky brightness considered photometric) name of associated SkyCam FITS images (raw and processed)

6 APO 10 micron All-Sky Camera Hardware Design of the current APO 10 micron all-sky camera, commissioned in 2001 A photograph of the APO 10 micron all-sky camera Credit: APO

7 SkyCam Disk Space Needs (Assuming APO Design) Image size: 320 pixels x 240 pixels 16-bit FITS images 150KB per FITS image 1 FITS image every 30 seconds 12 hours per night operation 1440 FITS images per night 1440 FITS images/night x 150KB / FITS image = 211MB / night Saving all images in GIF and animated GIF format as well as FITS format could conceivably triple the diskspace requirements Ancillary files (like nightly QA plots and logs) may only add an additional 1 MB per night or so to the archive 3 x 211MB / night ~ 630 MB / night Annual storage requirements ~ 630 MB /night x 365 nights ~ 225 GB

8 APO Design Cost Estimate* (29 December 2007) Raytheon “Thermal Eye” 300D 10-micron camera$8,000 Video-to-optical fiber converters (E.g., Opticomm MMV-110 Mini XMT, RCV pair) 2x$275 Frame grabber (E.g., Hauppauge WinTV 191)$100 Pentium Desktop with 1-GB RAM and 250 GB HD$3,000 External 250 GB HD (backup)$ inch-diameter hyperbolic mirror (machined aluminum)$3000 Camera support structure and enclosure (Base plate, canopy, mount plate/strut assembly) $2000 Paint assembly titanium white epoxy$400 Polish the aluminum mirror1 FTE Day TOTAL$17, FTE Day * Based upon information from the APO IRSC documentation page, and from e-discussions with Mike Carr.

9 SkyCam Timeline Finalize design and start obtaining quotes for materialsMar 1, 2008 Start constructing SkyCam and writing SkyCam softwareSep 1, 2008 Start commissioning SkyCam and SkyCam softwareMar 1, 2009 Complete commissioning SkyCam and SkyCam softwareSep 1, 2009 Start DESSep 1, 2010

10 And that is how matters stood until October 2007…

IR All-Sky Camera IR camera with 180deg cone angle lens Visible Camera under dome IR Camera under hatch Black Body located inside hatch Deployment in Chile around mid 2007 Comparison of IR images with SASCA images Slide Credit: Jacques Sebag 11 LSST Cloud Camera Design

mid-IR Sky Transmission Slide Credit: Jacques Sebag 12 LSST Cloud Camera Design

Slide Credit: Jacques Sebag 13 LSST Cloud Camera Design

Kitt Peak Run Mean and RMS over a window ~100x100 pixels centered on each filter4 image Slide Credit: Jacques Sebag 14 LSST Cloud Camera Design

LSST Design Cost Estimate Estimate provided by Jacques Sebag (NOAO): System was purchased for $60K, which includes the unit itself, the software, and the computer. The price may have changed slightly along with small changes in the company’s design of the system. Credit: Jacques Sebag 15

16 APO vs. LSST Designs APO Design Pros: Robust –in use at APO for several years Inexpensive –APO designs and software freely available –Materials cost < $20K Cons: 1st generation 10-micron all-sky camera –probably outdated by 2010 –APO itself may have upgraded by then One of a kind camera at CTIO –less maintainability –less redundancy –semi-customized (not purely “off-the- shelf” Not flux calibrated LSST Design Pros: High level of maintainability –duplicate of camera to be sited on Cerro Pachon for SOAR and LSST Partial redundancy –Although not ideal, if one of the two cameras fails, one can use the outputs from the camera on the other mountain as a temporary “stop-gap” solution Several filters + optical all-sky camera  more sky diagnostics “Blackbody on Board”  flux calibration More-or-less “off-the-shelf” Cons: More expensive (~$60K) –Cost sharing with CTIO can mitigate the expense to DECam. Sky diagnostics still under development So far, limited use under field conditions 16