Details
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Type:
Improvement
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Status: Done
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Resolution: Done
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Fix Version/s: None
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Component/s: SUIT
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Labels:
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Story Points:2
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Epic Link:
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Sprint:SUIT Sprint 2017-4, SUIT Sprint 2017-5, SUIT Sprint 2017-6
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Team:Science User Interface
Description
I am wondering if it would be straightforward to provide a "footprint" outline of the Stripe 82 area on the sky for use in highly zoomed-out context images in PDAC.
If this is an easy task, in what format would we need to specify the coordinates of the online?
I think we can do a calculation of four corners of all the coadded images and produce a sd9 region file for the outline.
==============================================
How to generate the region files attached here:
1)Get four corners data for all the coadds FOVs for SDSS:
curl -o sdssFourCorners.json -d 'query=SELECT+corner1Ra,corner1Decl,corner2Ra,corner2Decl,corner3Ra,corner3Decl,corner4Ra,corner4Decl+FROM+sdss_stripe82_00.DeepCoadd;' http://lsst-qserv-dax01.ncsa.illinois.edu:5000/db/v0/tap/sync
2)Convert the json file to csv using a tool on line:
http://www.convertcsv.com/json-to-csv.htm
3)Sort the csv file by corner1Ra
4)Remove "^M"
5)Convert the csv file to a region file by adding "polygon(" and ") #color=green" and a header "fk5"
6)For only plot 1% or 10% FOVs:
awk 'NR == 1 || NR % 100 == 0' input.reg > output_1pct.reg
awk 'NR == 1 || NR % 10 == 0' input.reg > output_10pct.reg
The region file can be loaded to Firefly.
Attachments
Issue Links
Activity
Field | Original Value | New Value |
---|---|---|
Epic Link |
|
Sprint | SUIT Sprint 2017-3 [ 357 ] | |
Labels | pdac | FireflyCCB pdac |
Sprint | SUIT Sprint 2017-3 [ 357 ] | SUIT Sprint 2017-4 [ 603 ] |
Rank | Ranked lower |
Assignee | Xiuqin Wu [ xiuqin ] | Yi Mei [ ymei ] |
Description |
I am wondering if it would be straightforward to provide a "footprint" outline of the Stripe 82 area on the sky for use in highly zoomed-out context images in PDAC.
If this is an easy task, in what format would we need to specify the coordinates of the online? |
I am wondering if it would be straightforward to provide a "footprint" outline of the Stripe 82 area on the sky for use in highly zoomed-out context images in PDAC.
If this is an easy task, in what format would we need to specify the coordinates of the online? I think we can do a calculation of four corners of all the coadded images and produce a sd9 region file for the outline. |
Status | To Do [ 10001 ] | In Progress [ 3 ] |
Story Points | 2 |
Sprint | SUIT Sprint 2017-4 [ 603 ] | SUIT Sprint 2017-4, SUIT Sprint 2017-5 [ 603, 604 ] |
Rank | Ranked higher |
Reviewers | Xiuqin Wu [ xiuqin ] | |
Status | In Progress [ 3 ] | In Review [ 10004 ] |
Attachment | SDSSStripe82Coadds_1%.png [ 29492 ] | |
Attachment | sdssFourCorners_sorted1pctawk.reg [ 29493 ] |
Attachment | sdssFourCorners_sorted10pctawk.reg [ 29497 ] |
Sprint | SUIT Sprint 2017-4, SUIT Sprint 2017-5 [ 603, 604 ] | SUIT Sprint 2017-4, SUIT Sprint 2017-5, SUIT Sprint 2017-6 [ 603, 604, 609 ] |
Rank | Ranked higher |
Description |
I am wondering if it would be straightforward to provide a "footprint" outline of the Stripe 82 area on the sky for use in highly zoomed-out context images in PDAC.
If this is an easy task, in what format would we need to specify the coordinates of the online? I think we can do a calculation of four corners of all the coadded images and produce a sd9 region file for the outline. |
I am wondering if it would be straightforward to provide a "footprint" outline of the Stripe 82 area on the sky for use in highly zoomed-out context images in PDAC.
If this is an easy task, in what format would we need to specify the coordinates of the online? I think we can do a calculation of four corners of all the coadded images and produce a sd9 region file for the outline. How to generate the region files attached here: 1)Get four corners data for all the coadds FOVs for SDSS: curl -o sdssFourCorners.json -d 'query=SELECT+corner1Ra,corner1Decl,corner2Ra,corner2Decl,corner3Ra,corner3Decl,corner4Ra,corner4Decl+FROM+sdss_stripe82_00.DeepCoadd;' http://lsst-qserv-dax01.ncsa.illinois.edu:5000/db/v0/tap/sync 2)Convert the json file to csv using a tool on line: http://www.convertcsv.com/json-to-csv.htm 3)Sort the csv file by corner1Ra 4)Remove "^M" 5)Convert the csv file to a region file by adding "polygon(" and ") #color=green" and a header "fk5" 6)For only plot 1% or 10% FOVs: awk 'NR == 1 || NR % 100 == 0' input.reg > output_1pct.reg awk 'NR == 1 || NR % 10 == 0' input.reg > output_10pct.reg |
Description |
I am wondering if it would be straightforward to provide a "footprint" outline of the Stripe 82 area on the sky for use in highly zoomed-out context images in PDAC.
If this is an easy task, in what format would we need to specify the coordinates of the online? I think we can do a calculation of four corners of all the coadded images and produce a sd9 region file for the outline. How to generate the region files attached here: 1)Get four corners data for all the coadds FOVs for SDSS: curl -o sdssFourCorners.json -d 'query=SELECT+corner1Ra,corner1Decl,corner2Ra,corner2Decl,corner3Ra,corner3Decl,corner4Ra,corner4Decl+FROM+sdss_stripe82_00.DeepCoadd;' http://lsst-qserv-dax01.ncsa.illinois.edu:5000/db/v0/tap/sync 2)Convert the json file to csv using a tool on line: http://www.convertcsv.com/json-to-csv.htm 3)Sort the csv file by corner1Ra 4)Remove "^M" 5)Convert the csv file to a region file by adding "polygon(" and ") #color=green" and a header "fk5" 6)For only plot 1% or 10% FOVs: awk 'NR == 1 || NR % 100 == 0' input.reg > output_1pct.reg awk 'NR == 1 || NR % 10 == 0' input.reg > output_10pct.reg |
I am wondering if it would be straightforward to provide a "footprint" outline of the Stripe 82 area on the sky for use in highly zoomed-out context images in PDAC.
If this is an easy task, in what format would we need to specify the coordinates of the online? I think we can do a calculation of four corners of all the coadded images and produce a sd9 region file for the outline. ============================================== How to generate the region files attached here: 1)Get four corners data for all the coadds FOVs for SDSS: curl -o sdssFourCorners.json -d 'query=SELECT+corner1Ra,corner1Decl,corner2Ra,corner2Decl,corner3Ra,corner3Decl,corner4Ra,corner4Decl+FROM+sdss_stripe82_00.DeepCoadd;' http://lsst-qserv-dax01.ncsa.illinois.edu:5000/db/v0/tap/sync 2)Convert the json file to csv using a tool on line: http://www.convertcsv.com/json-to-csv.htm 3)Sort the csv file by corner1Ra 4)Remove "^M" 5)Convert the csv file to a region file by adding "polygon(" and ") #color=green" and a header "fk5" 6)For only plot 1% or 10% FOVs: awk 'NR == 1 || NR % 100 == 0' input.reg > output_1pct.reg awk 'NR == 1 || NR % 10 == 0' input.reg > output_10pct.reg The region file can be loaded to Firefly. |
Labels | FireflyCCB pdac | pdac |
Status | In Review [ 10004 ] | Reviewed [ 10101 ] |
Resolution | Done [ 10000 ] | |
Status | Reviewed [ 10101 ] | Done [ 10002 ] |