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Minor update for auxtask plots #273

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merged 5 commits into from
Jul 11, 2024
Merged

Minor update for auxtask plots #273

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460b322
no colourbar by default
samvanstroud Jul 11, 2024
9ccf71a
better ylabel names
samvanstroud Jul 11, 2024
5f1b9e6
changelog
samvanstroud Jul 11, 2024
ae3466c
revert default, update aux results
samvanstroud Jul 11, 2024
32774e5
Merge branch 'main' into svanstro/minor-auxtask-update
samvanstroud Jul 11, 2024
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2 changes: 1 addition & 1 deletion changelog.md
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Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
# Changelog

### [Latest]

- Minor updates for aux task plots [!273](https://github.com/umami-hep/puma/pull/273)
- Added better support in yuma, allowing for tau rejection, tau tagging, and Xbb plots [!272](https://github.com/umami-hep/puma/pull/272)
- Redefined fake rate [!268](https://github.com/umami-hep/puma/pull/268)
- Removed padded tracks from consideration when generating track origin classification CM [!267](https://github.com/umami-hep/puma/pull/267)
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15 changes: 10 additions & 5 deletions puma/hlplots/aux_results.py
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Original file line number Diff line number Diff line change
Expand Up @@ -262,36 +262,40 @@ def plot_var_vtx_perf(
if isinstance(flavour, str):
flav = Flavours[flavour]

# $n_{vtx}^{match}/n_{vtx}^{true}$
plot_vtx_eff = VarVsVtxPlot(
mode="efficiency",
ylabel=r"$n_{vtx}^{match}/n_{vtx}^{true}$",
ylabel="Efficiency",
xlabel=xlabel,
logy=False,
atlas_first_tag=self.atlas_first_tag,
atlas_second_tag=atlas_second_tag + f", {flav.label}",
y_scale=1.4,
)
# $n_{vtx}^{match}/n_{vtx}^{reco}$
plot_vtx_purity = VarVsVtxPlot(
mode="purity",
ylabel=r"$n_{vtx}^{match}/n_{vtx}^{reco}$",
ylabel="Purity",
xlabel=xlabel,
logy=False,
atlas_first_tag=self.atlas_first_tag,
atlas_second_tag=atlas_second_tag + f", {flav.label}",
y_scale=1.4,
)
# $n_{trk}^{match}/n_{trk}^{true}$
plot_vtx_trk_eff = VarVsVtxPlot(
mode="efficiency",
ylabel=r"$n_{trk}^{match}/n_{trk}^{true}$",
ylabel="Track Assignment Efficiency",
xlabel=xlabel,
logy=False,
atlas_first_tag=self.atlas_first_tag,
atlas_second_tag=atlas_second_tag + f", {flav.label}",
y_scale=1.4,
)
# $n_{trk}^{match}/n_{trk}^{reco}$
plot_vtx_trk_purity = VarVsVtxPlot(
mode="purity",
ylabel=r"$n_{trk}^{match}/n_{trk}^{reco}$",
ylabel="Track Assignment Purity",
xlabel=xlabel,
logy=False,
atlas_first_tag=self.atlas_first_tag,
Expand Down Expand Up @@ -362,7 +366,7 @@ def plot_var_vtx_perf(

plot_vtx_fakes = VarVsVtxPlot(
mode="fakes",
ylabel=r"$n_{vtx}^{reco}$",
ylabel="Vertex Rate",
xlabel=xlabel,
logy=False,
atlas_first_tag=self.atlas_first_tag,
Expand Down Expand Up @@ -457,6 +461,7 @@ def plot_track_origin_confmat(
ylabel="Target Classes",
atlas_second_tag=self.atlas_second_tag,
atlas_tag_outside=True,
show_cbar=False,
**kwargs,
)
plot_cm.draw(cm)
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