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# Enable rule caching on Zenodo? | ||
cache_on_zenodo: true | ||
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# Workflow graph (DAG) generation | ||
dag: | ||
# Generate `dag.pdf` on each build? | ||
render: false | ||
# Graphviz layout engine | ||
engine: sfdp | ||
# Group files by type into plates? | ||
group_by_type: false | ||
# Custom graph attributes | ||
graph_attr: | ||
ranksep: "1" | ||
nodesep: "0.65" | ||
# Custom node attributes | ||
nodesep: '0.65' | ||
ranksep: '1' | ||
group_by_type: false | ||
node_attr: | ||
shape: "box" | ||
penwidth: "2" | ||
width: "1" | ||
# Files and glob patterns to ignore | ||
# ignore_files: | ||
# - src/tex/orcid-ID.png | ||
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# Externally-hosted datasets, e.g. on Zenodo | ||
penwidth: '2' | ||
shape: box | ||
width: '1' | ||
render: false | ||
datasets: | ||
# 10.5281/zenodo.6468327: | ||
# contents: | ||
# TOI640b.json: src/data/TOI640b.json | ||
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# Custom file dependencies | ||
10.5281/zenodo.6515864: | ||
contents: | ||
README.md: null | ||
TOI640b.json: src/data/TOI640/planet.json | ||
images.tar.gz: | ||
README.md: null | ||
S06: | ||
image.json: src/data/TOI640/S06.json | ||
S07: | ||
image.json: src/data/TOI640/S07.json | ||
lightcurves.zip: | ||
lightcurves: | ||
README.md: null | ||
S06: | ||
lc.txt: src/data/TOI640/S06.txt | ||
S07: | ||
lc.txt: src/data/TOI640/S07.txt | ||
destination: src/data/TOI640 | ||
dependencies: | ||
# src/scripts/my_script.py: | ||
# - src/data/dataset_for_my_script.dat | ||
# src/tex/ms.tex: | ||
# - src/tex/stylesheet.tex | ||
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# Name of the `.tex` manuscript and corresponding `.pdf` article | ||
src/scripts/test_figure.py: | ||
- src/data/TOI640/planet.json | ||
- src/data/TOI640/S06.txt | ||
- src/data/TOI640/S06.json | ||
- src/data/TOI640/S07.txt | ||
- src/data/TOI640/S07.json | ||
ms_name: ms | ||
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# Optimize DAG by removing unnecessary jobs upstream of cache hits? | ||
optimize_caching: false | ||
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# Overleaf sync settings | ||
overleaf: | ||
# Overleaf project ID (blank = disabled) | ||
id: | ||
# Perform sync on GitHub Actions? | ||
gh_actions_sync: true | ||
# List of files to push to Overleaf | ||
push: | ||
- src/tex/figures | ||
- src/tex/output | ||
# List of files to pull from Overleaf | ||
id: null | ||
pull: | ||
- src/tex/ms.tex | ||
- src/tex/bib.bib | ||
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# Always require all input files to be present on disk for workflow to pass? | ||
- src/tex/ms.tex | ||
- src/tex/bib.bib | ||
push: | ||
- src/tex/figures | ||
- src/tex/output | ||
require_inputs: true | ||
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# Allow cacheable rules to run on GitHub Actions? | ||
run_cache_rules_on_ci: false | ||
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# Mapping of script file extensions to instructions for executing them | ||
scripts: | ||
py: python {script} | ||
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# Display of the `showyourwork` stamp on first page | ||
stamp: | ||
# Show the stamp? | ||
enabled: true | ||
# Stamp angle in degrees | ||
angle: -20.0 | ||
# Stamp size in inches | ||
enabled: true | ||
size: 0.75 | ||
# Horizontal position in inches from right edge of paper | ||
xpos: 0.50 | ||
# Vertical position in inches from top edge of paper | ||
ypos: 0.50 | ||
# Display of the repo URL in the stamp | ||
url: | ||
# Show the URL? | ||
enabled: true | ||
# Maximum URL length to display | ||
maxlen: 40 | ||
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# Enable SyncTeX? | ||
synctex: True | ||
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# Command-line options to be passed to tectonic when building the manuscript | ||
xpos: 0.5 | ||
ypos: 0.5 | ||
synctex: true | ||
tectonic_args: [] | ||
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# Preprocessing script for arXiv tarball | ||
# (such as to switch `minted` from `finalizecache` to `frozencache`) | ||
# The script will be passed a directory containing the manuscript source | ||
# as input, and should modify the contents of that directory in-place. | ||
# preprocess_arxiv_script: my_preprocess_script.sh | ||
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# Enable verbose output? | ||
verbose: false | ||
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# Version of `showyourwork` used to create this workflow | ||
version: 0.4.4.dev54+g2662d4d | ||
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import matplotlib.pyplot as plt | ||
import numpy as np | ||
import json | ||
import paths | ||
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# Set up the figure | ||
fig = plt.figure(figsize=(7, 6)) | ||
ax = fig.subplot_mosaic( | ||
''' | ||
AB | ||
CC | ||
''' | ||
) | ||
fig.subplots_adjust(wspace=0.1, hspace=0.15) | ||
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# Images | ||
for n, dataset in zip(["A", "B"], ["S06", "S07"]): | ||
with open(paths.data / "TOI640" / f"{dataset}.json", "r") as f: | ||
image_data = json.load(f) | ||
aperture = np.array(image_data["aperture"]) | ||
image = np.array(image_data["image"]) / 1e3 | ||
im = ax[n].imshow(image, origin="lower", vmin=0, vmax=4) | ||
ax[n].set_xticks([]) | ||
ax[n].set_yticks([]) | ||
ax[n].set_title(dataset) | ||
ax[n].set_aspect("auto") | ||
fig.colorbar(im, ax=[ax["A"], ax["B"]], shrink=1, label="flux [ke$^-$/s]") | ||
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# Dummy colorbar to get the spacing right | ||
cbar = fig.colorbar(im, ax=ax["C"], shrink=1) | ||
cbar.ax.set_visible(False) | ||
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# Load planet data | ||
with open(paths.data / "TOI640" / "planet.json", "r") as f: | ||
planet_data = json.load(f) | ||
phase = planet_data["phase"] | ||
period = planet_data["period"] | ||
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# Photometry | ||
for dataset in ["S06", "S07"]: | ||
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# Load the data | ||
time, flux, *_ = np.loadtxt(paths.data / "TOI640" / f"{dataset}.txt").T | ||
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# Divide out the rolling 1-day median baseline | ||
dt = np.median(np.diff(time)) | ||
w = int(1 / dt) | ||
baseline = [np.median(flux[a : a + w]) for a in range(len(flux))] | ||
flux /= baseline | ||
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# Fold the data | ||
time = (time % period) / period + phase | ||
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# Plot it | ||
ax["C"].plot(time, flux, ".", label=dataset) | ||
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# Format the figure | ||
ax["C"].legend() | ||
ax["C"].set_xlim(-0.1, 0.1) | ||
ax["C"].set_xlabel("orbital phase") | ||
ax["C"].set_ylabel("normalized flux") | ||
fig.savefig(paths.figures / "test_figure.pdf", bbox_inches="tight", dpi=300) | ||
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