issue/627/testskypixelcoords: New notebook to test coordinate system effects with instructions to use example data

README.md

@@ -1,4 +1,3 @@
-
 # CLMM
 [![Build and Check](https://github.com/LSSTDESC/CLMM/workflows/Build%20and%20Check/badge.svg)](https://github.com/LSSTDESC/CLMM/actions?query=workflow%3A%22Build+and+Check%22)
 [![Coverage Status](https://coveralls.io/repos/github/LSSTDESC/CLMM/badge.svg?branch=main)](https://coveralls.io/github/LSSTDESC/CLMM?branch=main)
@@ -110,6 +109,7 @@ the `CCL` publication be cited.  See details
 The `Cluster Toolkit` documentation can be found
 [here](https://cluster-toolkit.readthedocs.io/en/latest/#).
 
+The data for the notebook test_coordinate.ipynb is available at https://www.dropbox.com/scl/fo/dwsccslr5iwb7lnkf8jvx/AJkjgFeemUEHpHaZaHHqpAg?rlkey=efbtsr15mdrs3y6xsm7l48o0r&st=xb58ap0g&dl=0
 
 # Contributing to CLMM <a name="contributing"></a>
 

docs/doc-config.ini

@@ -33,5 +33,6 @@ OTHER
 ../examples/demo_compute_deltasigma_weights.ipynb
 ../examples/demo_mass_conversion.ipynb
 ../examples/demo_mock_ensemble_realistic.ipynb
+../examples/demo_coordinate_system_datasets.ipynb
 #../examples/other_compare_NFW_critical_massdef.ipynb
 #../examples/other_flat_sky_limitations.ipynb

examples/DC2/DC2_gt_profiles.ipynb

@@ -600,7 +600,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -614,7 +614,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.9.0"
   }
  },
  "nbformat": 4,

examples/DC2/data_and_model_demo_DC2.ipynb

@@ -340,7 +340,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.1"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,

examples/demo_boost_factors.ipynb

@@ -2,7 +2,6 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "b803f8e6",
    "metadata": {},
    "source": [
     "# Boost factors"
@@ -11,7 +10,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "7180b199",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -26,7 +24,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "11e76008",
    "metadata": {},
    "source": [
     "Make sure we know which version we're using"
@@ -35,7 +32,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "389d5ab7",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -44,7 +40,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "d86fa53c",
    "metadata": {},
    "source": [
     "### Define cosmology object"
@@ -53,7 +48,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "74bcb35c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -62,15 +56,13 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6b458081",
    "metadata": {},
    "source": [
     "First, we want to generate a $\\Delta\\Sigma$ (excess surface density) profile from mock data, to which we can apply boost factors. The mock data is generated in the following cells."
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "de5340ee",
    "metadata": {},
    "source": [
     "Generate cluster object from mock data"
@@ -79,7 +71,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6cec7b64",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -107,7 +98,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "50045a1f",
    "metadata": {},
    "source": [
     "Loading this into a CLMM cluster object centered on (0,0)"
@@ -116,7 +106,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "a564b1c9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -127,7 +116,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "eb9c2218",
    "metadata": {},
    "source": [
     "Compute cross and tangential excess surface density for each source galaxy"
@@ -136,7 +124,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "bc5b051d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -154,7 +141,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "26081451",
    "metadata": {},
    "source": [
     "Calculate the binned profile"
@@ -163,7 +149,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "eaadac01",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -190,7 +175,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "7e88afc4",
    "metadata": {},
    "source": [
     "Plot the $\\Delta\\Sigma$ profile"
@@ -199,7 +183,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "0aeb2f52",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -219,15 +202,13 @@
   },
   {
    "cell_type": "markdown",
-   "id": "e28ec4c5",
    "metadata": {},
    "source": [
     "## Boost Factors"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "19912d42",
    "metadata": {},
    "source": [
     "CLMM offers two boost models, the NFW boost model, and a powerlaw boost model. \n",
@@ -242,7 +223,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e6b6ee3d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -255,7 +235,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "58cbc299",
    "metadata": {},
    "source": [
     "Plot the two boost factors, $B(R)$"
@@ -264,7 +243,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "1c1de291",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -278,7 +256,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "30e8e6a0",
    "metadata": {},
    "source": [
     "The $\\Delta\\Sigma$ profiles can be corrected with the boost factor using `correct_sigma_with_boost_values` or `correct_sigma_with_boost_model`. \n",
@@ -289,7 +266,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "6c4daf84",
    "metadata": {},
    "source": [
     "\n",
@@ -309,7 +285,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "48e0f2ef",
    "metadata": {},
    "source": [
     "First we will apply the boost factor with `correct_sigma_with_boost_values`"
@@ -318,7 +293,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d7b5f71d",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -332,7 +306,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "15252880",
    "metadata": {},
    "source": [
     "Plot the result"
@@ -341,7 +314,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "e2d90e0c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -380,7 +352,6 @@
   },
   {
    "cell_type": "markdown",
-   "id": "caf00c95",
    "metadata": {},
    "source": [
     "Now the same again but with `correct_sigma_with_boost_model`"
@@ -389,7 +360,6 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "b4b3f953",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -440,7 +410,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "Python 3",
    "language": "python",
    "name": "python3"
   },
@@ -454,7 +424,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.6.9"
   }
  },
  "nbformat": 4,