feat: ability use builtin observatories

21cmSense.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: 21cmSense
-Version: 2.0.0b1.dev14+g8464956.d20220121
+Version: 2.0.0b1.dev42+g7de0639.d20220610
 Summary: Compute sensitivies of radio interferometers to the cosmic 21cm signal.
 Home-page: https://github.com/steven-murray/21cmSense
 Author: Jonathan Pober

21cmSense.egg-info/SOURCES.txt

@@ -9,10 +9,10 @@ CONTRIBUTING.rst
 CONTRIBUTORS.rst
 LICENSE.rst
 README.rst
-moderate_150.000 MHz.h5
 pyproject.toml
 setup.cfg
 setup.py
+.eggs/README.txt
 .github/workflows/deploy.yaml
 .github/workflows/test-deploy.yaml
 .github/workflows/testsuite.yaml
@@ -49,7 +49,6 @@ docs/tutorials/data/observation_mwa.yml
 docs/tutorials/data/observatory_mwa.yml
 docs/tutorials/data/ps_EoS_z9.24.txt
 docs/tutorials/data/sensitivity_mwa.yml
-example_configs/mwa_phase2_compact_antpos.txt
 example_configs/observation_hera.yml
 example_configs/observatory_hera.yml
 example_configs/sensitivity_hera.yml
@@ -64,6 +63,7 @@ py21cmsense/observation.py
 py21cmsense/observatory.py
 py21cmsense/sensitivity.py
 py21cmsense/types.py
+py21cmsense/yaml.py
 py21cmsense/data/__init__.py
 py21cmsense/data/ps_no_halos_nf0.521457_z9.50_useTs0_zetaX-1.0e+00_200_400Mpc_v2
 tests/conftest.py
@@ -73,5 +73,7 @@ tests/test_conversions.py
 tests/test_observation.py
 tests/test_observatory.py
 tests/test_sensitivity.py
+tests/test_types.py
+tests/test_yaml.py
 tests/test_data/test_load_k_0.114.npz
 tests/test_data/test_observatory_dct.yml

21cmSense.egg-info/requires.txt

@@ -1,4 +1,4 @@
-numpy
+numpy<1.22
 scipy
 future
 click
@@ -20,6 +20,7 @@ numpydoc
 nbsphinx
 ipython
 commitizen
+pytest-cov
 
 [docs]
 sphinx>=1.3

CHANGELOG.rst

@@ -29,6 +29,7 @@ Features
   a closer resemblance to the original 21cmSense v1.
 * New ``calculate_sensitivity_2d_grid`` method that makes it easier to obtain a gridded
   cylindrical power spectrum sensitivity for arbitrary bins.
+* Ability to use builtin observatories that set certain parameters.
 
 v2.0.0
 ======

py21cmsense/data/antpos/hera-h1c-idr3.txt

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+-1.698699999999999832e+01 9.781000000000000227e+01 3.763600000000000136e+02
+4.602199999999999847e+01 1.099489999999999981e+02 3.758100000000000023e+02
+3.202400000000000091e+01 1.099440000000000026e+02 3.759599999999999795e+02
+1.802499999999999858e+01 1.099590000000000032e+02 3.760699999999999932e+02

py21cmsense/data/profiles/HERA-H1C-IDR3.yaml

@@ -0,0 +1,17 @@
+antpos: !astropy.units.Quantity
+  value: !txt "{{ DATA_PATH }}/antpos/hera-h1c-idr3.txt"
+  unit: !astropy.units.Unit {unit: m}
+beam:
+  class: GaussianBeam
+  frequency: !astropy.units.Quantity
+    unit: !astropy.units.Unit {unit: MHz}
+    value: 150
+  dish_size: !astropy.units.Quantity
+    unit: !astropy.units.Unit {unit: m}
+    value: 14.0
+latitude: !astropy.units.Quantity
+  unit: !astropy.units.Unit {unit: rad}
+  value: 0.536189
+Trcv: !astropy.units.Quantity
+  unit: !astropy.units.Unit {unit: K}
+  value: 100

py21cmsense/data/profiles/MWA-PhaseII.yaml

@@ -0,0 +1,15 @@
+antpos: "../mwa_phase_compact_antpos.txt"
+beam:
+  class: GaussianBeam
+  frequency: !astropy.units.Quantity
+    unit: !astropy.units.Unit {unit: MHz}
+    value: 150
+  dish_size: !astropy.units.Quantity
+    unit: !astropy.units.Unit {unit: m}
+    value: 4
+latitude: !astropy.units.Quantity
+  unit: !astropy.units.Unit {unit: rad}
+  value: 0.4660
+Trcv: !astropy.units.Quantity
+  unit: !astropy.units.Unit {unit: K}
+  value: 100

py21cmsense/observatory.py

@@ -25,6 +25,14 @@
 
 logger = logging.getLogger(__name__)
 
+DATA = Path(__file__).parent / "data"
+
+
+def get_builtin_profiles() -> list[str]:
+    """Print available built-in profiles."""
+    fls = (DATA / "profiles").glob("*.yaml")
+    return [fl.stem for fl in fls]
+
 
 @attr.s(frozen=True, kw_only=True, order=False)
 class Observatory:
@@ -122,7 +130,9 @@ def from_yaml(cls, yaml_file: str | dict) -> Observatory:
         """Instantiate an Observatory from a compatible YAML config file."""
         if isinstance(yaml_file, (str, Path)):
             with open(yaml_file) as fl:
-                data = yaml.load(fl)
+                lines = fl.read()
+                lines = lines.replace("{{ DATA_PATH }}", str(DATA.absolute()))
+                data = yaml.load(lines)
         elif isinstance(yaml_file, collections.abc.Mapping):
             data = yaml_file
         else:
@@ -152,6 +162,30 @@ def from_yaml(cls, yaml_file: str | dict) -> Observatory:
 
         return cls(antpos=antpos, beam=_beam, **data)
 
+    @classmethod
+    def from_profile(cls, profile: str, **kwargs):
+        """Instantiate the Observatory from a builtin profile.
+
+        Parameters
+        ----------
+        profile
+            A string label identifying the observatory. Available built-in observatories
+            can be obtained with :func:`get_builtin_profiles`.
+
+        Other Parameters
+        ----------------
+        All other parameters passed will be passed into the initializer for the class,
+        overwriting the profile.
+        """
+        fl = DATA / "profiles" / (profile + ".yaml")
+        if not fl.exists():
+            raise FileNotFoundError(
+                f"profile {profile} not available. Available profiles: {get_builtin_profiles()}"
+            )
+
+        obj = cls.from_yaml(fl)
+        return obj.clone(**kwargs)
+
     @cached_property
     def baselines_metres(self) -> tp.Meters:
         """Raw baseline distances in metres for every pair of antennas.