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Talk Roadmap

The detector monitoring project P. Amico P. Ballester, W. Hummel, G. Lo Curto, L. Lundin, A. Modigliani, L. Vanzi (all @ the European Southern Observatory). Talk Roadmap. General Introduction to detector characterization and testing ESO’s detector roadmap: from vendors to science.

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Talk Roadmap

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  1. The detector monitoring projectP. AmicoP. Ballester, W. Hummel, G. Lo Curto, L. Lundin, A. Modigliani, L. Vanzi(all @ the European Southern Observatory)

  2. Talk Roadmap • General Introduction to detector characterization and testing • ESO’s detector roadmap: from vendors to science. • Detector monitoring in La Silla • Detector monitoring in Paranal • The monitoring plan

  3. Once upon a time there was the perfect scientific detector: • Up to 99% QE • over 355 million pixels • No - framing detectors • No – defined by filter • No – defined by filter • Detect 100% of photons • Large number of pixels • Time tag for each photon • Measure photon wavelength • Measure photon polarization Detectors are now nearly perfect But the devil is in the details ……… PLUS READOUT NOISE (~2e-)!!

  4. Signal QE (wavelength, T, t) Fringing Linearity, well depth (T,bias, flux!) Gain precision and stability Persistence Crosstalk Charge Transfer Efficiency Stray light Noise Bias Level Dark current Mux glow Cosmic rays Read noise Microphonic noise Pickup noise Odd-even column effect Just to name a few:

  5. Many wonderful ways to be defective

  6. Many wonderful ways to be defective

  7. Many wonderful ways to be defective

  8. 985 nm 990 nm 995 nm 1000 nm 1005 nm 1010 nm Many behaviours to measure Fringing of Silicon sensor

  9. “Persistence” in Hawaii-2RG • switch from LPE to MBE does not eliminate persistence • latent image can be seen for many hours • persistence on all arrays tested Courtesy G. Finger

  10. “Persistence” in Hawaii 2RG • depends on fluence not on flux • N < Nsaturation = 105eno persistence (?) • switch from LPE to MBE does not eliminate persistence • latent image can be seen for many hours • Causes: traps, temperature effects? Courtesy G. Finger

  11. HQ ODT IRI Characterization 1. LPO Paranal La Silla Ins+SciOps QC Ins+SciOps Monitoring 2. Once upon a time there was a detector… Vendors

  12. 1. In-house characterization • CCD pedigree (type, specs, output, pixel size) • RON and Conversion factor (inverse gain, CONAD) • Quantum Efficiency (QE) • Cosmetic defects • Linearity (peak-to-peak, rms, range, sat. level) • Dark Current • Cosmic X-ray events • Charge Transfer efficiency • Measurements conditions (T, pre-scan/overscan, bias voltages, date) and sample images. • Additional tests: IR - sensitivity profile of pixel.

  13. In-house characterization (cont’d) Courtesy G. Finger

  14. Plasma cleaning devices Successful plasma cleaning inside the assembled OmegaCam cryostat Courtesy S. Deiries After some minutes the large volume (approx. 200 l) of the cryostat was filled by a violet glowing plasma. A normal cleaning process takes not longer than 10 minutes!

  15. Comparison of cosmetic quality 40K / 80 K T=40 K T=80 K Cut levels -250 e /200 e , DIT 900 sec Courtesy G. Finger

  16. 2. La Silla: 18 CCD detectors

  17. La Silla CCDs (optical) • Weekly linearity tests with beta light (only FEROS and HARPS with LEDs) performed by SciOps. • Semi automatic tool with GUI to acquire, analyze, e-mail, publish data on the web (one click per action). Feedback is displayed on the screen • Test results e-mailed to instrumentation engineer and instrument scientist.

  18. La Silla CCD detectors • Values measured: bias level, average count rate, gain, ron, linearity, shutter delay. Database spanning several years. • We use the traditional Photon Transfer method to derive gain from photon statistics (5%) • Method documented (among others) in Downing, 2006SPIE.6276E...8D: • Linearity relays on beta light (or LED) stability to compute average count rates at different exposure times -> shutter stability required (with the exception of HARPS for which the LEDs are downstream of the shutter).

  19. P. Francois P. Francois P. Francois LED vs. Beta Light in FEROS The HARPS CCD is not accessible; beta light tests are therefore not feasible. Similarly, for FEROS, insertion of the beta light is inconvenient, as it has an impact on the instrument stability. Instead LEDs, placed just above the CCDs are used. This technique is proven to be fully satisfactory using the FEROS LEDs (high stability power source, no feedback).

  20. La Silla CCD detectors • Uniform scheme across instruments for detector testing. • The look & feel of the interface is the same. • The end product is the same • There is a database spanning several years to be used for trending.

  21. Detectors in Paranal Total of 25 detectors.44 more expected

  22. Quality checks in Paranal: CCDs

  23. Optical detector monitoring:RON for FORS2

  24. Optical detector monitoring:CONAD and linearity for GIRAFFE

  25. Quality checks in Paranal: IR arrays

  26. NIR detector monitoring:RON and dark level (ISAAC Aladdin)

  27. MIR detector monitoring: RON of VISIR

  28. What can be improved? • Basic parameters (BIAS, RON) are measured and monitored daily. • Fundamental parameters (gain) still not implemented for all instrument. • Other measurements (e.g. linearity, fringing, contamination, etc) not yet monitored. • Measurements of the same quantity are made differently for different instruments (different pipelines). • “measured in a raw file (high gain mode) as 100x100 pixels sigma, corrected for fixed-pattern contribution” • “measured on single raw frames, with no corrections” • La Silla and Paranal independent from each other (which is partly compatible with the different operational scheme).

  29. The detector monitoring plan • A true Chile-Germany interdepartmental collaboration: Sciops & Instrumentation (Paranal, La Silla) + QC + Data Flow System Dept. (DFS), +… • Started as an IR detector monitoring project for Paranal. • Its scope was widened last year, to include optical detectors. • Once the group of “volunteers” was formed, the first step had been to collect all the documentation available and condense it in a document. This document summarizes the goals and objectives of the plan, presents an extensive description of all (well, almost all) the tests and measurements ever conceived for detectors and attempts at describing the algorithms we believe are best to measure a certain quantity. • It is not meant as a strict to-do-list to be completed, but as a driver for an ambitious project. • It is open to a wide audience (instrument scientists, instrumentation engineers, astronomers, etc) and it welcomes the contributions and expertise of many.

  30. Goals of the project • Standardize the test procedures whenever applicable (e.g. define a unique way to measure linearity). • Unify test procedures for IR and Optical detectors whenever applicable and describe the differences in all other cases. • Unify the measurements procedures and the use of data reduction recipes and algorithms. • Utilize available resources, such as data taking templates, pipeline recipes, existing reporting tools (QC web pages, Autrep), previous experience (e.g. LaSilla test procedures, ODT, IRI, etc).

  31. Specific Goals

  32. More Specific Goals

  33. Responsibilities & status

  34. CPL Detector Monitoring Functions • - Study of operational pipelines • RON, BIAS/DARK supported for most instruments • First development required is for a common detector linearity recipe. • - CPL Implementation • Algorithms distributed as CPL data reduction functions • Pipeline recipes invoke a single function • Pipelines Implementation • Instrument templates may have to be retrofitted

  35. References Questions?

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