MIPS- IOC Task Cookbook:
70 and 160 micron Latent Images and Saturation

Objective

Description

#-------------------------------------------------------
# Saturating flux mJy: 70   160 [H. Dole]
#  3s:      4399.32      9518.88
#  4s:      3299.49      7139.16
# 10s:      1319.80      2855.66

#-------------------------------------------------------
# Saturating flux mJy: 70   160 [SSC]
#  3s:      1320.00      2000.00
#  4s:      1060.00      1600.00
# 10s:       482.00       722.00

Data Collected

• 6 sources
• For Each Source: 49 min of observations
• 1 medium scan map: 2 legs of 0.5 degree, 4s DCE: 1240s = 20.7 min per map
• 1 photometry obs: 4 cycles at each 70 and 160, 3s DCE: 723s = 12.05 min per phot map
• 1 photometry obs: 2 cycles at each 70 and 160, 10s DCE: 963s = 16.05 min per phot map

Candidate Saturating Sources
IRAS source	flux 60	factor saturation at 70	flux 100	factor saturation at 160	visibility	comment
	(Jy)		(Jy)
18212+7432	10.3	3.1	31.78	4.5	CVZ	v bright cold [source 1]
16577+5900	7.43	2.3	23.58	3.3	CVZ	v bright cold [source 2]
16418+6540	3.45	1.1	7.37	1.6	CVZ	bright cold [source 3]
F17069+6047	3.01	0.9	4.99	0.7	CVZ	bright (less) cold [source 4]
18525+5518	2.05	0.62	4.49	0.63	CVZ	faint cold
F17487+5637	1.6	0.49	4.0	0.56	CVZ	faint cold
F16460+5910	1.4	0.42	3.2	0.45	CVZ	faint cold [source 5]
18525+5518	2.05	0.6	4.5	0.6	CVZ	faint cold
17403+6234	2.08	0.6	1.03	0.15	CVZ	faint warm [source 6]
17240+7154	1.48	0.45	1.75	0.25	CVZ	faint warm

Table 1. IRAS Sources to use for this task.
"faint" is appropriate to probe
the regime between HD's and SSC's
saturation window.
"cold" means cold source (rising spectrum),
"warm" mean warm source (decreasing spectrum).

Data Reformatting Requirements

Array Data Desired:

70 µm, 160 µm

Data Reformatting Option:

• NORMAL
  1 FITS file per AOR per array.

Special Instructions:

Task Dependencies

• MIPS-321
• MIPS-323
• MIPS-325
• MIPS-326
• MIPS-327

Calibration Dependencies

• Have mips_caler working

Output and Deliverable Products

• time series (and array of time) showing the effect and strength of saturation

Data Analysis

• create time series, i.e. a cube: x,y: images of array, z: time (DCE)
• splitting DCEs might be useful: 2s split for 10s DCE, 1.5s for 3s DCE
• fit the saturation decay on a pixel by pixel basis
• plot the time constant and amplitudes vs bkg and saturation level for each pixel

Software Requirements

• (maybe) split_dce
• mips_sloper -a flight_ce[1,2] -oa
• mips_caler
• package to fit saturation data on each pixel (ask J. Cadien to get it)

Actions Following Analysis

• publish plots of saturation characteristics vs bkg and saturation level
• publish comparison w/ Char Arrays lab data
• if possible, give recommandations for how long to wait after saturation

Failure Modes and Responses

• if nothing works, use Char Arrays results for recommandations (J Cadien's reports)

Additional Notes