1. GUSTO Data Products and Archiving Plan
(suggestion of slides from Craig to Paul & Gary)
January 24, 2017
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2. GUSTO Science Data is Uniquely Diagnostic
GUSTO generates [CII], [NII], and [OI] SPECTRAL LINE MAPS
Every pixel has a SPECTRUM that reveals the kinematic structure of the gas
Maps can be sliced in different ways to learn about structure of ISM on different scales
Spatial-velocity “cuts” to study kinematics
Integrated intensity to derive total mass, luminosity,…
Map in 2D on sky at a given velocity to identify coherent structures
SHOW EXAMPLES OF P-V CUTS, ETC. HERE
January 24, 2017
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3. Example of 3D Data Cube turns 2D imaging of Galaxy into 3D
809 GHz [CI] from HEAT telescope near l=328o
January 24, 2017
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4. GUSTO Will Exceed its Science Data Goals
Mapping area
Angular resolution
Spectral Resolution
Spectral coverage
Survey duration
From Level 1 requirements (example: 1.9 THz band):
150 sq.deg.
1.5’ Galaxy
1.0’ LMC
2-5 km/s
(2 pixel)
500 km/s
<100 days
Baseline instrument meets requirements (example: 1.9 THz band):
150 sq.deg.
1.0 arcminute
1.8 km/s
(2 pixel)
580 km/s
99 days
Total uncompressed data volume to be downlinked: 250 GiB (x 2 margin)
On board raw data storage requirement is 600 GiB (x 2.7 margin)
January 24, 2017
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5. GUSTO has a uniform data strategy
0.8 Mbps bandwidth in Line-of-sight (LOS) mode
0.2 Mbps bandwidth in Over the Horizon (OTH) via TDRSS and Iridium
All reference frames are returned at level 0.5 (raw) and source frames at level 1. This allows reconstruction of raw data at a data rate of 0.1 Mbps.
Each step in the pipeline will be validated via unit testing on the ground.
Level 1 pipeline parameters can be adjusted from the ground as needed
January 24, 2017
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6. Data Quality Assessment and Decision Tree
Most data quality assessment happens in Level 1 processing, performed every OTF row
Automated effort to make each spectrum usable. Failure marked per spectrum. Sufficient failures in a given row will mark the entire row as ‘bad’ and necessitate repeating
Multiple row failures will flag an error condition in which automatic retuning of that receiver band will be performed
Cognizant observer can adjust receiver parameters to assist if necessary
RMS within spec? Y OK N
Try alternate baseline fit
Use alt reference spectrum
RMS within spec? Y OK N
Mark spectrum bad & repeat
January 24, 2017
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7. Extensive Ground System Heritage
SWAS (SMEX) satellite: data on 4 submillimeter spectral lines stored on board and processed by in-house pipeline developed at FCRAO. [G. Melnick]
Sequoia 32-element 100 GHz array on FCRAO 14m telescope: OTF mapping, regridding, and averaging very similar to GUSTO. [P. Goldsmith]
HEAT telescope pipeline is recent realization that demonstrates key features of GUSTO processing
[C. Kulesa]
A strip map spanning G300 through G307 which demonstrates the dynamic Galactic emission from atomic carbon in its 809 GHz line as portrayed through the HEAT telescope’s single channel images (0.5 km/s per channel) depicted from -40 km/s to +30 km/s Vlsr.
January 24, 2017
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8. Proprietary Information/Competition Sensitive
Data Archiving Plan
Data archive management led by SAO in collaboration with Arizona
Preliminary data release DR0 mirrored at Arizona Cyverse and Harvard Dataverse. Final data release DR1 additionally archived at IRSA for long term storage at end of Phase F.
Data access through web interface
Open data model: no proprietary period following verification of data calibration and quality
January 24, 2017
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9. Data Archive Heritage -- SWAS
January 24, 2017
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10. Data Archive Heritage -- FCRAO
12CO J=1-0 OTF Map
13CO J=1-0 OTF Map
GUSTO leverages decades of Radio Astronomy Data Management
January 24, 2017
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11. Proprietary Information/Competition Sensitive
Data System Summary
GUSTO Data Products exceed their Science Requirements with substantial margin.
All Level 0/1 data will be returned to the ground using available telemetry.
GUSTO’s 3D maps of the Galaxy will be generated on the ground using standard OTF processing techniques.
GUSTO’s data will be made available online following the Open Access model with no proprietary period.
GUSTO’s data will be available online from long term archives at Arizona, Harvard/CfA and NASA/IPAC.
GUSTO’s Data System leverages decades of experience and heritage from both ground and space. It will produce outstanding science at low cost and risk
January 24, 2017
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12. EXTRA SLIDE: Template for addressing questions
Response to Question 00
Use this slide to respond to a review committee question.
Update include the question number in the upper right
Repeat the question at the top
Provide the response to the question – be careful about “over answering”
More information than requested may not be a good thing
January 24, 2017
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