merged with main slsim

.pre-commit-config.yaml

@@ -13,18 +13,18 @@ ci:
 repos:
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
-    rev: v0.4.7
+    rev: v0.5.6
     hooks:
       - id: ruff
         exclude: docs/.*
         args: ["--line-length=88"]
   - repo: https://github.com/nbQA-dev/nbQA
-    rev: 1.8.5
+    rev: 1.8.7
     hooks:
       - id: nbqa-ruff
         args: ["--line-length=120"]
   - repo: https://github.com/psf/black
-    rev: 24.4.2
+    rev: 24.8.0
     hooks:
       - id: black
         # It is recommended to specify the latest version of Python
@@ -33,7 +33,7 @@ repos:
         # https://pre-commit.com/#top_level-default_language_version
         language_version: python3
   - repo: https://github.com/psf/black
-    rev: 24.4.2
+    rev: 24.8.0
     hooks:
       - id: black-jupyter
         language_version: python3

.readthedocs.yaml

@@ -32,4 +32,5 @@ sphinx:
 # See https://docs.readthedocs.io/en/stable/guides/reproducible-builds.html
 python:
     install:
-    - requirements: requirements.txt
+    - requirements: requirements.txt
+    - requirements: requirements_dev.txt

CONTRIBUTING.rst

@@ -41,6 +41,19 @@ install the slsim package in development mode with
   python setup.py develop --user
 
 
+.. note::
+
+  Development mode installation uses the file path to the repository you work on.
+  If you do the regular installation, a copy of all the python files will be made in the path of the python version
+  and the path to call the routines will be to these files.
+
+.. warning::
+
+  Make sure you uninstalled all SLSim versions first before installing the version in development mode. Otherwise,
+  due to path hierarchy, there is still a good chance your copied files will be imported instead of the files in your
+  development repository.
+
+
 Create a branch for your new feature
 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
 

data/SkyPy/lsst-like.yml

@@ -1,13 +1,13 @@
 # See the ReadMe file for parameter definitions
 mag_lim: 30
 fsky: 0.1 deg2
-z_range: !numpy.arange [0, 5.01, 0.1]
-M_star_blue: !astropy.modeling.models.Linear1D [-0.9408582, -20.40492365]
-phi_star_blue: !astropy.modeling.models.Exponential1D [0.00370253, -9.73858]
-alpha_blue: -1.3
-M_star_red: !astropy.modeling.models.Linear1D [-0.70798041, -20.37196157]
-phi_star_red: !astropy.modeling.models.Exponential1D [0.0035097, -1.41649]
-alpha_red: -0.5
+z_range: !numpy.arange [0.0, 5.01, 0.01]
+M_star_blue: !astropy.modeling.models.Linear1D [-1.03, -20.485]
+phi_star_blue: !astropy.modeling.models.Exponential1D [0.00312608, -43.42936]
+alpha_blue: -1.29
+M_star_red: !astropy.modeling.models.Linear1D [-0.80, -20.46]
+phi_star_red: !astropy.modeling.models.Exponential1D [0.00278612, -1.05925]
+alpha_red: -0.53
 cosmology: !astropy.cosmology.default_cosmology.get []
 filters: ['lsst2016-g', 'lsst2016-r', 'lsst2016-i', 'lsst2016-z', 'lsst2016-y']
 tables:

data/SkyPy/lsst-like_triple_SF.yml

@@ -0,0 +1,107 @@
+# These are the luminosity function parameters according to M = a_m * z + b_m
+# and Phi = b_phi * exp(a_phi * z). As in Lopez-Sanjuan the model is given as
+# M = M0 + Q * (z - 0.5) and log10(Phi) = Phi0 + P * (z - 0.5) we have to convert
+# the given parameters as a_m = Q, b_m = M0 - 0.5*Q, a_phi = ln(10) * P and
+# b_phi = 10**(Phi0 - 0.5*P)
+cosmology: !astropy.cosmology.default_cosmology.get []
+z_range: !numpy.arange [0.0, 5.01, 0.01]
+M_star_blue: !astropy.modeling.models.Linear1D [-1.03, -20.485]
+phi_star_blue: !astropy.modeling.models.Exponential1D [0.00312608, -43.42936]
+M_star_red: !astropy.modeling.models.Linear1D [-0.80, -20.46]
+phi_star_red: !astropy.modeling.models.Exponential1D [0.00278612, -1.05925]
+magnitude_limit: 30
+fsky: 0.1 deg2
+filters: ['lsst2016-g', 'lsst2016-r', 'lsst2016-i', 'lsst2016-z', 'lsst2016-y']
+tables:
+  blue:
+    z, M: !skypy.galaxies.schechter_lf
+      redshift: $z_range
+      M_star: $M_star_blue
+      phi_star: $phi_star_blue
+      alpha: -1.29
+      m_lim: $magnitude_limit
+      sky_area: $fsky
+    coeff: !skypy.galaxies.spectrum.dirichlet_coefficients
+      alpha0: [2.079, 3.524, 1.917, 1.992, 2.536]
+      alpha1: [2.265, 3.862, 1.921, 1.685, 2.480]
+      weight: [3.47e+09, 3.31e+06, 2.13e+09, 1.64e+10, 1.01e+09]
+      redshift: $blue.z
+    stellar_mass: !skypy.galaxies.spectrum.kcorrect.stellar_mass
+      coefficients: $blue.coeff
+      magnitudes: $blue.M
+      filter: bessell-B
+    mag_g, mag_r, mag_i, mag_z, mag_Y: !skypy.galaxies.spectrum.kcorrect.apparent_magnitudes
+      coefficients: $blue.coeff
+      redshift: $blue.z
+      filters: $filters
+      stellar_mass: $blue.stellar_mass
+      cosmology: $cosmology
+    physical_size: !skypy.galaxies.morphology.late_type_lognormal_size
+      magnitude: $blue.M
+      alpha: 0.21
+      beta: 0.53
+      gamma: -1.31
+      M0: -20.52
+      sigma1: 0.48
+      sigma2: 0.25
+    angular_size: !skypy.galaxies.morphology.angular_size
+      physical_size: $blue.physical_size
+      redshift: $blue.z
+      cosmology: $cosmology
+    ellipticity: !skypy.galaxies.morphology.beta_ellipticity
+      e_ratio: 0.45
+      e_sum: 3.5
+      size: !len [$blue.z]
+  red1: 
+    z1, M1: !skypy.galaxies.schechter_lf
+              redshift: $z_range
+              M_star: $M_star_red
+              phi_star: $phi_star_red
+              alpha: -0.53
+              m_lim: $magnitude_limit
+              sky_area: $fsky
+              cosmology: $cosmology
+  red2:  
+    z2, M2: !skypy.galaxies.schechter_lf
+              redshift: $z_range
+              M_star: -17.00
+              phi_star: $phi_star_red
+              alpha: -1.31
+              m_lim: $magnitude_limit
+              sky_area: $fsky
+              cosmology: $cosmology
+  red:
+    z: !numpy.concatenate
+      - [$red1.z1, $red2.z2]
+    M: !numpy.concatenate
+      - [$red1.M1, $red2.M2]
+    coeff: !skypy.galaxies.spectrum.dirichlet_coefficients
+      alpha0: [2.461, 2.358, 2.568, 2.268, 2.402]
+      alpha1: [2.410, 2.340, 2.200, 2.540, 2.464]
+      weight: [3.84e+09, 1.57e+06, 3.91e+08, 4.66e+10, 3.03e+07]
+      redshift: $red.z
+    stellar_mass: !skypy.galaxies.spectrum.kcorrect.stellar_mass
+      coefficients: $red.coeff
+      magnitudes: $red.M
+      filter: bessell-B
+    mag_g, mag_r, mag_i, mag_z, mag_Y: !skypy.galaxies.spectrum.kcorrect.apparent_magnitudes
+      coefficients: $red.coeff
+      redshift: $red.z
+      filters: $filters
+      stellar_mass: $red.stellar_mass
+      cosmology: $cosmology
+    physical_size: !skypy.galaxies.morphology.early_type_lognormal_size
+      magnitude: $red.M
+      a: 0.60
+      b: -4.63
+      M0: -20.52
+      sigma1: 0.48
+      sigma2: 0.25
+    angular_size: !skypy.galaxies.morphology.angular_size
+      physical_size: $red.physical_size
+      redshift: $red.z
+      cosmology: $cosmology
+    ellipticity: !skypy.galaxies.morphology.beta_ellipticity
+      e_ratio: 0.2
+      e_sum: 7
+      size: !len [$red.z]