Marker-style experimental figure; cite PIVtools only

- piv_vs_hwa_paper.py: PIV profiles drawn as synthetic-style markers
(ensemble = squares, instantaneous passes = circles/triangles), hot
wire as the solid reference line, matching paper_figures.py.
- README: citation section asks for the PIVtools paper only; JHTDB
provenance retained in the generation and license sections.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

README.md

@@ -331,7 +331,7 @@ repository's git history.
 
 ## Citation
 
-If you use this dataset, please cite both the PIVtools paper and the underlying DNS source.
+If you use this dataset, please cite the PIVtools paper.
 
 ```bibtex
 @article{taylor_pivtools,
@@ -340,28 +340,12 @@ If you use this dataset, please cite both the PIVtools paper and the underlying
   journal={SoftwareX},
   note={submitted}
 }
-
-@article{lee2015direct,
-  title={Direct numerical simulation of turbulent channel flow up to Re_tau = 5200},
-  author={Lee, M. and Moser, R.D.},
-  journal={J. Fluid Mech.},
-  year={2015}
-}
-
-@article{li2008public,
-  title={A public turbulence database cluster and applications to study Lagrangian evolution of velocity increments in turbulence},
-  author={Li, Y. and others},
-  journal={J. Turbulence},
-  year={2008}
-}
 ```
 
-DNS reference data is from the **Johns Hopkins Turbulence Database** (JHTDB).
-
 ## License
 
 CC-BY-4.0 — free to use, modify, and redistribute with attribution to the PIVtools paper.
 
-The DNS ground truth is derived from publicly accessible JHTDB data and is redistributed
-here under the same permissive terms; consult the JHTDB usage policy
-(http://turbulence.pha.jhu.edu) for their citation requirements.
+The DNS ground truth is derived from publicly accessible Johns Hopkins Turbulence
+Database data (http://turbulence.pha.jhu.edu) and is redistributed here under the
+same permissive terms.

scripts/piv_vs_hwa_paper.py

@@ -43,6 +43,11 @@ ENS_COLOR = "#D55E00"    # ensemble (orange-red)
 INST_COLOR = "#0072B2"   # instantaneous (blue)
 HW_COLOR = "k"           # hot wire
 
+# Marker convention matches paper_figures.py (synthetic cases):
+# reference = solid black line, each PIV method = its own marker, no line.
+ENS_MARKER = "s"
+INST_MARKERS = ["o", "^", "D"]  # one per instantaneous pass
+
 
 # --------------------------------------------------------------------------- #
 # Profile helpers (central-column median about the station, wall-frame y)
@@ -203,27 +208,33 @@ def main():
     fig, ax = plt.subplots(1, 2, figsize=(14, 6))
 
     a0 = ax[0]
-    a0.plot(yp_hw, Up_hw, "-o", color=HW_COLOR, ms=5, lw=2, label="Hot wire")
-    a0.plot(ypE, UpE, "-", color=ENS_COLOR, lw=2.4, label=ens_lbl)
+    a0.plot(yp_hw, Up_hw, "-", color=HW_COLOR, lw=2, label="Hot wire", zorder=10)
+    a0.plot(ypE, UpE, ENS_MARKER, color=ENS_COLOR, ms=4.5, alpha=0.7,
+            linestyle="none", label=ens_lbl, zorder=5)
     for k, (lbl, ypI, UpI, _) in enumerate(inst_profiles):
-        a0.plot(ypI, UpI, "-", color=inst_colors[k % len(inst_colors)], lw=2.4,
-                label=f"PIVtools inst. {lbl}")
+        a0.plot(ypI, UpI, INST_MARKERS[k % len(INST_MARKERS)],
+                color=inst_colors[k % len(inst_colors)], ms=4.5, alpha=0.7,
+                linestyle="none", label=f"PIVtools inst. {lbl}", zorder=4)
     a0.set_xscale("log"); a0.set_xlim(8, 8000); a0.set_ylim(0, 30)
     a0.grid(True, which="both", alpha=0.3)
     a0.set_xlabel(r"$y^+$"); a0.set_ylabel(r"$U^+$"); a0.set_title("Mean velocity")
     a0.legend(loc="upper left")
 
     a1 = ax[1]
-    a1.plot(yp_hw, uup_hw, "-o", color=HW_COLOR, ms=5, lw=2, label="Hot wire (uncorrected)")
+    a1.plot(yp_hw, uup_hw, "-", color=HW_COLOR, lw=2,
+            label="Hot wire (uncorrected)", zorder=10)
     if a.ens_stress_lowess and a.ens_stress_lowess > 0:
         a1.plot(ypE, uupE, "-", color=ENS_COLOR, lw=0.7, alpha=0.22)
         s_yp, s_v = log_smooth(ypE, uupE, sigma_decades=a.ens_stress_lowess)
-        a1.plot(s_yp, s_v, "-", color=ENS_COLOR, lw=2.6, label=ens_lbl)
+        a1.plot(s_yp, s_v, ENS_MARKER, color=ENS_COLOR, ms=4.5, alpha=0.7,
+                linestyle="none", label=ens_lbl, zorder=5)
     else:
-        a1.plot(ypE, uupE, "-", color=ENS_COLOR, lw=2.4, label=ens_lbl)
+        a1.plot(ypE, uupE, ENS_MARKER, color=ENS_COLOR, ms=4.5, alpha=0.7,
+                linestyle="none", label=ens_lbl, zorder=5)
     for k, (lbl, ypI, _, uupI) in enumerate(inst_profiles):
-        a1.plot(ypI, uupI, "-", color=inst_colors[k % len(inst_colors)], lw=2.4,
-                label=f"PIVtools inst. {lbl}")
+        a1.plot(ypI, uupI, INST_MARKERS[k % len(INST_MARKERS)],
+                color=inst_colors[k % len(inst_colors)], ms=4.5, alpha=0.7,
+                linestyle="none", label=f"PIVtools inst. {lbl}", zorder=4)
     a1.set_xscale("log"); a1.set_xlim(8, 8000)
     a1.set_ylim(0, max(12, np.nanmax(uup_hw) * 1.15))
     a1.grid(True, which="both", alpha=0.3)