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Type: Feature
Priority: Must have
Fix Version/s: PI19
Component/s: SRCnet Science Enabling
Labels:
- PI19-PB
- Team_Magenta

ARTs:

SRCnet
Benefit hypothesis:

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SRCs will provide pre-built scripts for standard workflows that users expect to run. We aim to build some of these, and test their effectiveness with regards to hardware limitations and data storage schemes.

This particular workflow mosaics a large image from many smaller ones. It is wavelength agnostic, as long as the input files are FITS format with appropriate WCS (world coordinate system) header information.

There are various mosaicking software tools available in the astronomy community. Here we take SWARP, a C based software package designed for mosaicking optical images, which has been shown to be efficient and flexible.

Show
SRCs will provide pre-built scripts for standard workflows that users expect to run. We aim to build some of these, and test their effectiveness with regards to hardware limitations and data storage schemes. This particular workflow mosaics a large image from many smaller ones. It is wavelength agnostic, as long as the input files are FITS format with appropriate WCS (world coordinate system) header information. There are various mosaicking software tools available in the astronomy community. Here we take SWARP, a C based software package designed for mosaicking optical images, which has been shown to be efficient and flexible.
Acceptance criteria:

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AC1: Containerise the SWARP software package

AC2: Demonstrate it can be used to mosaic optical and radio data, and include example datasets (to be retrieved) in the workflow.

AC3: Publish this as a Git repo and record a demo

AC4: Build and publish notebook container image to demonstrate workflow in Jupyter notebook environment

Show
AC1: Containerise the SWARP software package AC2: Demonstrate it can be used to mosaic optical and radio data, and include example datasets (to be retrieved) in the workflow. AC3: Publish this as a Git repo and record a demo AC4: Build and publish notebook container image to demonstrate workflow in Jupyter notebook environment
Feature Points:
1
Initial Size:
1
WSJF:
0
Epic Link:
Collation of Runnable Example Workflows
Agile Teams:

Team_MAGENTA
Due Sprint:
Sprint 2
Story Point Burn-up:
Overdue:
Outcomes:

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Repo and link to demo recording at: https://gitlab.com/ska-telescope/src/src-scientific-use-cases/-/tree/master/tasks/mosaicking-SWARP

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Repo and link to demo recording at: https://gitlab.com/ska-telescope/src/src-scientific-use-cases/-/tree/master/tasks/mosaicking-SWARP
Resolved PI.Sprint:
24.2

Feature Checklist:

Stories Completed, Integrated

Requirement Status:

PI24 - UNCOVERED
Labels_MIRO:
PI19-PB Team_Magenta

Description

Mosaicking

Input data: a set of images that overlap

Output data: a single image

Software involved: Use SWARP

Workflow steps: get data in a single location, run SWARP with input config.

State of existing workflows: Complete and includes data retrieval from archives in the workflow. Needs a recorded demo. Could be extended to include data retrieval from RUCIO in the workflow.

Architecture and hardware: Multithreaded CPU. Flexible on RAM but faster if you have lots. Data in a single location.

Attachments

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relates to

SP-3496 Consolidate naming and structure of SRC example workflow repository

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Structure

Activity

People

Assignee:: Bolton, Rosie

Reporter:: Bolton, Rosie

Votes:: 0 Vote for this issue

Watchers:: 2 Start watching this issue

Feature Progress

Story Point Burn-up: (100.00%)

Feature Estimate: 1.0

	Issues	Story Points
To Do	0	0.0
In Progress	0	0.0
Complete	4	5.0
Total	4	5.0

Dates

Created:: 30/May/23 4:00 PM

Updated:: 4 days ago 3:47 AM

Resolved:: 30/Sep/24 8:34 AM

Due Sprint Date:: 11/Jul/23

SRC workflow example: Mosaicking (SWARP)