User stories are a useful input to developing the concept for a software product and specifying the features. Typically, the stories have a lead off description of the form "As a (kind of user) I want to (do something) to (achieve something)." The elaboration of the user stories describe what inputs are needed, what outputs are expected, and what computations are performed.
- 1D spectral extraction for perfectly registered & perfectly calibrated data
- 2D spectral extraction - in progress
- Astrometric Registration
- Background Subtraction
- Co-adding spectra - in progress
- EM2D Use Case
- Flatfielding with broad-band flat
- Geometric Transformation
- Identify associated data sets
- MAP2D Use Case
- Simulate a Grism Image and Predict Contamination
- Simulation/Model based extraction of 1D spectrum for perfectly registered and calibrated data taken at several different orientations
Candidate user stories
Topic | Author | Comments |
---|---|---|
e.g. Find and download direct and dispersed images that overlap on the sky via an archive query | ||
Organization and bookkeeping | Conventions for file formats (in and out) metadata in files, file names, directory structure, output files (e.g. column names and units) | |
Geometric transformations | Norbert Pirzkal | Outline all of the variants and what the use cases are (e.g. elaborate from Nor's presentation) |
Astrometric registration | Align dithered observations | |
Simulations | Create a simulated 2D dispersed spectrum from a 1D spectrum and image morphology. | |
Background subtraction | What are the different background components & approaches to estimating/subtracting for HST instruments? | |
Flatfielding | This can be subtle; the same approach can't be used in all circumstances. Maybe multiple user stories are needed? (Ivelina Momcheva can describe the rationale of using the broad band flat field) | |
1D simple extraction | Harry Ferguson | |
1D model-based extraction | Harry Ferguson | |
2D spectral extraction | Maybe multiple stories with different approaches to getting a 2D extracted dispersed spectrum? | |
Co-adding | Maybe several stories with different approaches to co-adding spectra taken at different orientations? | |
Find an isolated emission line | EM2D use case | |
Create an emission-line map | Create a 2D emission-line map from spectra taken at different orientations (this may require multiple stories?) | |
Fit a set of templates | Varying flux and redshift | |
Identify overlaps | Based on a known object catalog + grism exposure, generate a list of objects that can contribute spectra to a given sky position. |