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  1. Data Management
  2. DM-9350

Possible to provide a drawing of the Stripe 82 sky region for context?

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    Details

    • Type: Improvement
    • Status: Done
    • Resolution: Done
    • Fix Version/s: None
    • Component/s: SUIT
    • Labels:
    • Story Points:
      2
    • Sprint:
      SUIT Sprint 2017-4, SUIT Sprint 2017-5, SUIT Sprint 2017-6
    • 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.

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            gpdf Gregory Dubois-Felsmann created issue -
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Field Original Value New Value
            Epic Link DM-8350 [ 27954 ]
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Sprint SUIT Sprint 2017-3 [ 357 ]
            Labels pdac FireflyCCB pdac
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Sprint SUIT Sprint 2017-3 [ 357 ] SUIT Sprint 2017-4 [ 603 ]
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Rank Ranked lower
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Assignee Xiuqin Wu [ xiuqin ] Yi Mei [ ymei ]
            xiuqin Xiuqin Wu [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 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.
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Status To Do [ 10001 ] In Progress [ 3 ]
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Story Points 2
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Sprint SUIT Sprint 2017-4 [ 603 ] SUIT Sprint 2017-4, SUIT Sprint 2017-5 [ 603, 604 ]
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Rank Ranked higher
            ymei Yi Mei [X] (Inactive) made changes -
            Reviewers Xiuqin Wu [ xiuqin ]
            Status In Progress [ 3 ] In Review [ 10004 ]
            ymei Yi Mei [X] (Inactive) made changes -
            Attachment SDSSStripe82Coadds_1%.png [ 29492 ]
            Attachment sdssFourCorners_sorted1pctawk.reg [ 29493 ]
            ymei Yi Mei [X] (Inactive) made changes -
            Attachment sdssFourCorners_sorted10pctawk.reg [ 29497 ]
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            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 ]
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Rank Ranked higher
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Epic Link DM-8350 [ 27954 ] DM-8727 [ 28563 ]
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Link This issue relates to DM-10431 [ DM-10431 ]
            ymei 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
            ymei 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.
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Labels FireflyCCB pdac pdac
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Status In Review [ 10004 ] Reviewed [ 10101 ]
            xiuqin Xiuqin Wu [X] (Inactive) made changes -
            Resolution Done [ 10000 ]
            Status Reviewed [ 10101 ] Done [ 10002 ]
            gpdf Gregory Dubois-Felsmann made changes -
            Link This issue relates to DM-14398 [ DM-14398 ]

              People

              Assignee:
              ymei Yi Mei [X] (Inactive)
              Reporter:
              gpdf Gregory Dubois-Felsmann
              Reviewers:
              Xiuqin Wu [X] (Inactive)
              Watchers:
              David Ciardi [X] (Inactive), Gregory Dubois-Felsmann, Tatiana Goldina, Xiuqin Wu [X] (Inactive), Yi Mei [X] (Inactive)
              Votes:
              0 Vote for this issue
              Watchers:
              5 Start watching this issue

                Dates

                Created:
                Updated:
                Resolved:

                  Jenkins

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