MIPS- IOC Task Cookbook:
Stim Flash Latents Calibration at 70 and 160 microns

Principal: Herve Dole
Deputy: ?
Data Monkey(s): Not Me ! Please no !
Priority:
Downlink Priority: Normal
Analysis Time:
Last Updated: 20-Jan-2003

Cookbook Quick Navigation
Objective	Description	Data	Data Reformatting	Dependencies	Calibration Dependencies
Outputs	Analysis	Software	Actions	Failure	Additional

Objective

Derive a Stim Flash Latent Calibration file (one at 70 and another one at 160) from IOC data at various backgrounds

Description

Using scans at 70 and 160 on various sky levels, derive a SLC (Stim flash Latent Calibration) file at each wavelength,as has already been done from test lab data on char array (Dole et al,2002,2003).
Scans at low and medium background level will be used at 70 and 160. For a given background,a median cycle will be created by stacking all the DCEs, sorted by time after stim. Splited DCEs might be used. Then, the IDL programs to fit the latent behaviour will be used to create tables of statistics. Then the appropriate IDL program will browse these statistics to derive the SLC file. It will be used in the DAT and SSC pipelines.

Data Collected

For each array at 70 and 160: scans

~ 15 scans 2 deg long and 2 legs from Flat Field task
a few scans 5 deg long and 3 legs from Flat Field Task
2 scans 1 deg long and 8 legs from confusion Task
Any other scan that might be appropriate


AOR Not Needed for this meta IOC task

Data Reformatting Requirements

Array Data Desired:

70 µm, 160 µm

Data Reformatting Option:

NORMAL

Special Instructions:

Task Dependencies

MIPS-265
MIPS-305
MIPS-306
MIPS-307
MIPS-914
MIPS-915
MIPS-916

Calibration Dependencies

None

Output and Deliverable Products

1 FITS file with extensions (one per observed background) for SLC at 70
1 FITS file (same structure) for SLC at 160

Data Analysis

The same as described in Dole et al 2002 and 2003 about SLC at 70 and 1690 on lab data. This process considers each pixel as an individual detector.

build a median cycle by stacking data (and excluding outlisers in this case)
fit the time serie and save parameters
browse parameters and create a SLC FITS file

Software Requirements

mips_sloper
mips_caler
latent_fit_period_all.pro
create_latent_corr_calib_files_fits.pro

Actions Following Analysis

test the SLC file in the DAT on existing data sets
publish 2 figures (one for each wavelength) showing a time series before and after SLC
send the 2 FITS files to the SSC for the pipeline and to K Gordon for the DAT

Failure Modes and Responses

if it significantly reduces the systematics effects: use it
if it does not significantly reduces the systematics effects: try to build a correction with Characterisation Array lab data and test the results.
If sky structure is too important to derive SLC:
consider filtering the data or use an iterative process to remove the sky and keep detectors effects

Additional Notes