Add IRFs used in IceCube-Gen2 TDR (#52)

* Restore ability to use radio transfer matrix with arbitrary zenith binning

* Import data files from private repo

* Add an effective area table and plot

* add README for effective area table

* blacken

* Fixup muon damping figure (#55)

* cli: drop into pdb on error

* Avoid fixing gamma when not configured

* Actually pass minimizer method through to scipy.optimize

fixes up aff8a3e

* Recommend install with micromamba (#56)

* chore(deps): update pydashi to 2.0.0

* Recommend micromamba install exclusively

* chore(ci): install with micromamba

* Install dev deps in ci

* disable env cache

caching does not actually speed up micromamba create

* squash DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated

.github/workflows/test.yml

@@ -28,27 +28,12 @@ jobs:
 
       - uses: actions/checkout@v2
 
-      - name: Cache conda pacakges
-        uses: actions/cache@v2
-        env:
-          # Increase this value to reset cache if etc/example-environment.yml has not changed
-          CACHE_NUMBER: 0
-        with:
-          path: ~/conda_pkgs_dir
-          key:
-            conda-${{ steps.detect.outputs.platform }}-${{ env.CACHE_NUMBER }}-${{hashFiles('conda-lock.yml') }}
-
       - name: Set up conda environment
-        uses: conda-incubator/setup-miniconda@v2
+        uses: mamba-org/setup-micromamba@v1
         with:
-          auto-update-conda: false
-          activate-environment: test-env
-          environment-file: conda-${{ steps.detect.outputs.platform }}.lock
-
-      - name: Install pip deps
-        run: |
-          cat conda-${{ steps.detect.outputs.platform }}.lock | awk '/^# pip/ {print substr($0,7)}' > requirements.txt
-          pip install --no-deps -r requirements.txt
+          environment-file: conda-lock.yml
+          environment-name: ci
+          create-args: --category main dev
 
       - name: Install project
         env:

.gitignore

@@ -1,7 +1,6 @@
 *.DS_Store
 *.pyc
 *.egg-info
-data/
 figures/**/*.json.gz
 figures/**/*.pdf
 notebooks/**/*.pdf

README.md

@@ -18,17 +18,19 @@ sensitivities in different units depending on context.
 ## Installation
 
 The way to install `toise` and its depedencies is
-with `conda`. If you do not already have `miniconda` on your system, obtain the
-installer from https://conda.io/miniconda.html, and install in a location of
-your choice, e.g.:
+with [`micromamba`](https://mamba.readthedocs.io/en/latest/installation/micromamba-installation.html). If you do not already have `micromamba` on your system,
 
-```sh
-sh ./Miniconda3-latest-Linux-x86_64.sh -p $CONDA_PREFIX
+```console
+"${SHELL}" <(curl -L micro.mamba.pm/install.sh)
 ```
 
-replacing `CONDA_PREFIX` with the prefix you chose.
+or, os macOS with Homebrew:
+
+```console
+brew install micromamba
+```
 
-Then, obtain `toise`:
+Next, obtain `toise`:
 
 ```sh
 git clone [email protected]:icecube/toise.git
@@ -37,21 +39,9 @@ git clone [email protected]:icecube/toise.git
 Then, from the `toise` source directory, create a new environment:
 ```sh
 cd toise
-$CONDA_PREFIX/bin/conda env create -n toise --file environment.yml
-```
-
-This will also download the required data tables.
-
-The above will install the latest available versions of all dependencies. You can also install exactly the versions that were most recently tested with:
-```sh
-cd toise
-
-PLATFORM_LOCKFILE=$(conda info --json | jq -r '"conda-\(.platform).lock"')
-conda create -n toise --file $PLATFORM_LOCKFILE
-cat $PLATFORM_LOCKFILE | awk '/^# pip/ {print substr($0,7)}' > requirements.txt
-conda run -n toise pip install -r requirements.txt -e .
+micromamba create -n toise --file conda-lock.yml
+conda run -n toise pip install -e .
 ```
-This should be much faster, as it does not have to solve for compatible versions of all the dependencies. If you do not have `jq` installed, you can set `PLATFORM_LOCKFILE` by hand to e.g. `conda-osx-64.lock`.
 
 If you have a Jupyter notebook installation from another conda environment, you should now be able to open this notebook in Jupyter and select the "Python [conda env:miniconda3-toise]" kernel.