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
I think this is now more interesting, as now that the WISE data are on PDAC it will be good to be able to show the overlap region graphically when people are doing spatial joins between the two Object tables.
| 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 |
I have attached the region file which contains 1% of the SDSS Strip 82 coadds and a png file to plot those coadds on an globe image.
Let me know anything more need to be done.
Yi Mei [X] (Inactive)
added a comment - I have attached the region file which contains 1% of the SDSS Strip 82 coadds and a png file to plot those coadds on an globe image.
Let me know anything more need to be done. Yi Mei [X] (Inactive)
made changes -
| Reviewers | Xiuqin Wu [ xiuqin ] | |
| Status | In Progress [ 3 ] | In Review [ 10004 ] |
Yi Mei [X] (Inactive)
made changes -
| Attachment | SDSSStripe82Coadds_1%.png [ 29492 ] | |
| Attachment | sdssFourCorners_sorted1pctawk.reg [ 29493 ] |
The shape of Stripe 82 coadds is not easy to draw the footprint outline. We can discuss about that.
Yi Mei [X] (Inactive)
added a comment - The shape of Stripe 82 coadds is not easy to draw the footprint outline. We can discuss about that. Yi Mei [X] (Inactive)
made changes -
| Attachment | sdssFourCorners_sorted10pctawk.reg [ 29497 ] |
Please put inn more information explaining how you generated the region file.
| 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 |
Yi Mei [X] (Inactive)
made changes -
| 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 |
Yi Mei [X] (Inactive)
made changes -
| 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 ] |
Done
| Resolution | Done [ 10000 ] | |
| Status | Reviewed [ 10101 ] | Done [ 10002 ] |
We can overlay DS9 regions.