Make hack.yaml use template

README.md

@@ -14,5 +14,5 @@ git lfs install
 If that is reported as an unknown command, install Git LFS first by following the instructions on their [homepage](https://git-lfs.com/).
 Then proceed with cloning as usual
 ```bash
-git clone https://github.com/DukeCosmology/SimHackJune2025
+git clone https://github.com/DukeCosmology/roman_imsim_testdata
 ```

hack.yaml

@@ -8,152 +8,20 @@ modules:
     # Including galsim.roman in the list of modules to import will add a number of Roman-specific
     # functions and classes that we will use here.
     - roman_imsim
-    - galsim.roman
 
-    # We need this for one of our Eval items.  GalSim does not by default import datetime into
-    # the globals dict it uses when evaluating Eval items, so we can tell it to import it here.
-    - datetime
+template: roman_imsim_default
 
-# Define some other information about the images
-image:
+image.SCA: 4
 
-    # A special Image type that knows all the Roman SCA geometry, WCS, gain, etc.
-    # It also by default applies a number of detector effects, but these can be turned
-    # off if desired by setting some parameters (given below) to False.
-    type: roman_sca
+stamp.skip_failures: true
 
-    wcs:
-        type: RomanWCS
-        SCA: '@image.SCA'
-        ra: { type: ObSeqData, field: ra }
-        dec: { type: ObSeqData, field: dec }
-        pa: { type: ObSeqData, field: pa }
-        mjd: { type: ObSeqData, field: mjd }
+input.obseq_data.dir: ''
+input.obseq_data.file_name: "Roman_WAS_obseq_11_1_23.fits"
+input.obseq_data.visit: 12909
+input.sky_catalog.file_name: "skyCatalog/skyCatalog.yaml"
+input.sky_catalog.obj_types: ["diffsky_galaxy", "snana", "star", "gaia_star"]
 
-    bandpass:
-        type: RomanBandpass
-        name: { type: ObSeqData, field: filter }
-
-    # When you want to have multiple images generate the same random galaxies, then
-    # you can set up multiple random number generators with different update cadences
-    # by making random_seed a list.
-    # The default behavior is just to have the random seeds for each object go in order by
-    # object number across all images, but this shows how to set it up so we use two separate
-    # cadences.
-    # The first one behaves normally, which will be used for things like noise on the image.
-    # The second one sets the initial seed for each object to repeat to the same starting value
-    # at the start of each filter.  If we were doing more than 3 total files, it would then
-    # move on to another sequence for the next 3 and so on.
-    random_seed:
-        # Used for noise and nobjects.
-        - { type: ObSeqData, field: visit }
-
-        # Used for objects.  Repeats sequence for each filter
-        # Note: Don't use $ shorthand here, since that will implicitly be evaluated once and then
-        # treated the same way as an integer (i.e. making a regular sequence starting from that
-        # value).  Using an explicit dict with an Eval type means GalSim will leave it alone and
-        # evaluate it as is for each object.
-
-
-    # We're just doing one SCA here.
-    # If you wanted to do all of them in each of three filters (given below), you could use:
-    #
-    # SCA:
-    #     type: Sequence
-    #     first: 1
-    #     last: 18
-    #     repeat: 3  # repeat each SCA num 3 times before moving on, for the 3 filters.
-    #
-    SCA: 4
-    mjd: { type: ObSeqData, field: mjd }
-    filter: { type: ObSeqData, field: filter }
-    exptime: { type: ObSeqData, field: exptime }
-
-    # Photon shooting is way faster for chromatic objects than fft, especially when most of them
-    # are fairly faint.  The cross-over point for achromatic objects is generally of order
-    # flux=1.e6 or so (depending on the profile).  Most of our objects here are much fainter than
-    # that.  The fft rendering for chromatic is a factor of 10 or so slower still, whereas
-    # chromatic photon shooting is only slightly slower than achromatic, so the difference
-    # is even more pronounced in this case.
-    draw_method: 'phot'
-    use_fft_bright: True
-
-    # These are all by default turned on, but you can turn any of them off if desired:
-    ignore_noise: True
-    stray_light: False
-    thermal_background: False
-    reciprocity_failure: False
-    dark_current: False
-    nonlinearity: False
-    ipc: False
-    read_noise: False
-    sky_subtract: False
-
-stamp:
-    type: Roman_stamp
-    world_pos:
-        type: SkyCatWorldPos
-    exptime: { type: ObSeqData, field: exptime }
-    skip_failures: True
-    photon_ops:
-        - { type: ChargeDiff }
-
-# psf:
-#     type: roman_psf
-#     # If omitted, it would figure this out automatically, because we are using the RomanSCA image
-#     # type.  But if we weren't, you'd have to tell it which SCA to build the PSF for.
-#     SCA: '@image.SCA'
-#     # n_waves defines how finely to sample the PSF profile over the bandpass.
-#     # Using 10 wavelengths usually gives decent accuracy.
-#     n_waves: 10
-
-# Define the galaxy type and positions to use
-gal:
-    type: SkyCatObj
-
-input:
-    obseq_data:
-        file_name: "Roman_WAS_obseq_11_1_23.fits"
-        visit: 12909
-        SCA: '@image.SCA'
-    roman_psf:
-        SCA: '@image.SCA'
-        n_waves: 5
-    sky_catalog:
-        file_name: "skyCatalog/skyCatalog.yaml"
-        edge_pix: 512
-        mjd: { type: ObSeqData, field: mjd }
-        exptime: { type: ObSeqData, field: exptime }
-        obj_types: ['diffsky_galaxy','star','snana','gaia_star']
-
-output:
-
-    nfiles: 1
-    dir: output/RomanWAS_new/images/truth
-    file_name:
-        type: FormattedStr
-        format: "Roman_WAS_truth_%s_%i_%i.fits.gz"
-        items:
-            - { type: ObSeqData, field: filter }
-            - { type: ObSeqData, field: visit }
-            - '@image.SCA'
-
-    truth:
-        dir: output/RomanWAS_new/truth
-        file_name:
-            type: FormattedStr
-            format: "Roman_WAS_index_%s_%i_%i.txt"
-            items:
-                - { type: ObSeqData, field: filter }
-                - { type: ObSeqData, field: visit }
-                - '@image.SCA'
-        columns:
-            object_id: "@object_id"
-            ra: "$sky_pos.ra.deg"
-            dec: "$sky_pos.dec.deg"
-            x: "$image_pos.x"
-            y: "$image_pos.y"
-            realized_flux: "@realized_flux"
-            flux: "@flux"
-            mag: "@mag"
-            obj_type: "@object_type"
+output.dir: output/RomanWAS_new/images/truth
+output.file_name.format: "Roman_WAS_truth_%s_%i_%i.fits.gz"
+output.truth.dir: output/RomanWAS_new/truth
+output.truth.file_name.format: "Roman_WAS_index_%s_%i_%i.txt"