There is a problem w/ your write-up. Check that you have valied entries for \$CAID and \$Campn in your analysis.php file. If that checks out, then Contact Stansberry"; return ; } // get first matching task $row = mysql_fetch_array($result); $title = $row["title"]; $princ = $row["principal"]; $deputy= $row["deputy"]; $campn0 = $row["campn0"]; $aorkeys = $row["aorkeys"]; // get real name of principal, deputies $princ = ioc_get_person($princ); $princ = $princ[0]; $deps = explode(",",$deputy); foreach ($deps as $depty) { $depty = trim($depty); $depty = ioc_get_person($depty); $depty = $depty[0]; $depty = explode(",",$depty); $depty = $depty[0]; // last names only $deplist[] = $depty; } $deplist = implode(", ", $deplist); $caid = sprintf("%03d",$caid); $file = "mips-".$caid.$campn.".analysis.php"; // if more matches, append the AORKEYS from those $numrows = mysql_num_rows($result); if ($numrows > 1) { $aorkeys = " " . $numrows . " Task Executions:  ". $aorkeys; for ($i=0;$i < mysql_num_rows($result); $i++) { $row = mysql_fetch_array($result); $morekeys = $row["aorkeys"]; $aorkeys = $aorkeys .';  '.$morekeys; } } // END PHP. ?> <? echo "MIPS-$caid, Campaign $campn IOC/SV Analysis"; ?>

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Task Outcome Summary


Abstract

The goal of this task is to determine the best detector bias for the MIPS 24um array. Four performance criteria, (responsivity, dark current, read noise, and source repeatability) were checked as a function of bias. A total of four bias settings were to be tested, but an error was made in the creation of the IERs so that we only took Vbias = 1.5V data in the first running of this task in campaign F.

Analysis

The following steps were followed in analyzing the data:
1) I used V2.15 of mips_sloper to reduce the data.  I used flags -b -d -l 
   on the darks.
   For the standard star observations I used the following:
   mips_sloper -w -j CamF filename
   mips_caler  -C CamF filename
   Campaign F dark and flat calibration files were placed in the directory 
   Pipeline/Cal/CamF  and the mips_param_flight_ce1 and mips_caler.param
   were edited in that directory to use these dark and flat files.
2) We used get_rdnoise on the 24um data to calculate read noise and dark 
   current.  We set n_dce_rej=2.  James had to edit the get_rdnoise program 
   to reject the bias boost DCE and the first DCE after the boost.  He also
   added a median filter and sigma rejection algorithm to remove cosmic rays.
3) I performed photometry on the standard star AOT data using the IRAF
   task imexamine with the following parameters:
   radius = 6, inner radius of sky annulus = 11, width of sky annulus = 5,
   center = yes, background = yes, iterations = 1
4) Calculate the mean and sigma of the standard star fluxes
5) Plot standard star brightness, dark current, read noise, and source 
   repeatability versus detector bias
6) These results can be combined with insights into the effects of bias 
   voltage on the cosmic ray hardness and the dynamic range of the detector 
   in deciding how to best set the detector bias.

Results

For each bias voltage, we measured a set of 50 10s dark DCEs. The IDL program get_rdnoise provided measurements of the dark current and read noise for each of these biases. The results are as follows:
MIPS Campaign F results, all with 1.5V bias:
Bias Voltage    Dark Current(e/s)    Read Noise(e)    Cosmic Ray Hit rate
   1.5V             9.4 +/- 2.1          51.2            3.4 +/- 1.0
   1.5V             9.5 +/- 2.3          58.8            3.7 +/- 1.5
   1.5V             9.6 +/- 2.4          59.0            3.9 +/- 1.8
   1.5V             9.5 +/- 2.4          60.9            3.9 +/- 2.0
The hit rate and the read noise increased slowly as we went through this progression of observations, which is a bit surprising since nothing was changed from one observation to the next.

Conclusions

No conclusions can be made yet. The observations were performed incorrectly.

Output and Deliverable Products

None

Actions Following Analysis

We need to rerun this task with the correct IERs.