Simulations of sample-up-the-ramp for space-based observations of faint sources

Astronomy and Astrophysics – Astronomy

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Scientific paper

We have conducted simulations of a memory-efficient up-the-ramp sampling algorithm for infrared detector arrays. Our simulations use realistic sky models of galaxy brightness, shapes, and distributions, and include the contributions of zodiacal light and cosmic rays. A simulated readout is based on the HAWAII-2RG arrays, and includes read noise, dark current, KTC noise, reset anomaly, persistence, and random telegraph noise. The up-the-ramp algorithm rejects cosmic rays, RTN, and KTC noise. The reset anomaly and persistence are also correctable. It produces a best estimate of the source flux under the assumption of very low signal-to-noise, while the overall dynamic range is increased. We present an analysis of the fidelity of image brightness recovery with this algorithm. This work is motivated by the need for sensitive, precise, accurate photometry for Destiny, a mission concept under study for the Joint Dark Energy Mission (JDEM).

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Simulations of sample-up-the-ramp for space-based observations of faint sources does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Simulations of sample-up-the-ramp for space-based observations of faint sources, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Simulations of sample-up-the-ramp for space-based observations of faint sources will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-1062339

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.