Detector Information
Appearance of the data
There exists one-pixel-width non-data rows/columns between each quadrant. The unreadable regions are [1:1024,1025:1025], [1025:2048,1024:1024], [1024:1024,1:1024], and [1025:1025,1025:2048]. There are no dead pixel islands with the size larger than 1.5 arcseconds on the channel-2 detector, though several scratches or small holes do exist. Examples of raw images can be downloaded from here (CHIP 1 [gif, fits] / CHIP 2 [gif ,fits]).
Linearity
The figures below are the result of the detector linearity measurements executed in Nov 2008 (current set of detectors). The linearity is maintained to well within 0.5% up to over 25000 e- under the low-illumination condition. Note that under the CDS readout the full well will vary depending on the position on the chip and the input flux density (above values were measured near the center of detectors: i.e. deepest well is expected). Therefore we recommend to keep the raw data count under 22000 ADU for science data.

Figure 11:
Figure 11: The result of the detector linearity measurements for the chip 1 (red) and the chip 2. The lower panel shows the residual from the linear fit assuming that the count is propotional to the exposure. The linearity is both very good.
Latent Image
A latent image will appear on the position that strong light is illuminated. The amplitude seems to depend on the background level from ~0.06-0.6% (under investigation). In imaging mode the latent seems generally weak ( <0.3% ) and in J it is a bit prominent. In spectroscopy mode or during the narrow-band observation the latent sometimes goes up close to 1% due to the low sky level. The latent pattern will decay only with time.
Low-level signals by latents may occasionally remain even in your fully-reduced data. A special care must be paid about the reality of faint objects that are close to bright stars. If the magnitude or appearance of the object in question largely changes between final-combined images by average and by median, it can be a spurious. Also, the objects in question around a bright star traces the same pattern as the dither, it may be spurious.
Reset Anomaly (Bias Tilt)
Reset anomaly (Bias tilt) is also a specific effect seen in some HgCdTe FPAs
such as HAWAII and HAWAII-2. It can be reduced by operating an array continuously and sampling by the CDS (Correlated Double Sampling) method. The current channel-2 detector shows only a small level (a few %) of the reset anamaly. Currently there is no data for new channel-1 detector. Taking data with dummy-read option (NDUMMYREAD=2) will suppress the residual reset anomaly much.
The instrumental minimum exposure times are listed in the table at the top of the page. In the minimum exposure data we see relatively strong reset anomaly. This can be suppressed when we set a bit (+1 to +1.5sec) longer exposure times than the true minimum. So we tend to use the minimum exposure of 13.0 sec for NDUMMYREAD=0 and 20.5 sec for NDUMMYREAD=2 for full readout case.
Multi-Sampling Data Acquisition
Mutil-sampling readout is the effective way to reduce the detector readout noise. Usually 8 multi-sampling data acquisition is applied during the spectroscopic observation, and it will decrease the readout noise to about half. For usual imaging observation it is not necessary because the background noise dominates the data. The overhead by multisampling readout is 8.5 sec times the number of sampling, so too many multisampling is not much effecient. Note that the data is stored after averaging on the memory.
Engineering detector used for channel 1 during October 2007 to June 2008
Due to a technical problem in the detector on channel-1, we operated MOIRCS with an Engineering-grade chip during October 2007 to June 2008. The channel-1 data taken during the period should be handled with enough caution for scientific use. See the old information webpage for more detail.
(Obsolete) The evaluation page for new detector for channel-1 (#96) during late 2008
The page is kept just for the record. Please visit the link to the page.
Please note that all data on these pages are subject to change
as the evaluation of the performance of MOIRCS progresses.
Updated 2009-06-11