edit readme for simplicity

README.md

@@ -120,7 +120,7 @@ python scripts/piv_vs_hwa_paper.py \
 ```
 
 These exact commands, run against the shipped `reference_results/`, reproduce the paper
-figures byte-for-byte on the authors' machine (fonts permitting: the scripts prefer
+figures (fonts permitting: the scripts prefer
 CMU Serif and fall back to DejaVu). Quote the `--inst-labels` arguments exactly as shown
 (single quotes) so your shell does not eat the `$` characters.
 
@@ -212,10 +212,7 @@ modes explore worker×thread trade-offs beyond the paper's sweep — see
 `pivtools-bench scaling --help`.)
 
 Throughput numbers are hardware-dependent: the paper's peak of 117 pairs/s was
-measured on a 192-core dual-EPYC node, and your core count sets your ceiling. The
-scaling *shape* — near-linear until the memory bandwidth of the machine saturates —
-is the reproducible claim. On a cluster, wrap this same command in your scheduler
-of choice; nothing about it is scheduler-specific.
+measured on a 192-core dual-EPYC node, and your core count sets your ceiling.
 
 ## Tier 3 — re-derive the calibration models
 
@@ -234,9 +231,7 @@ pivtools-cli detect-stereo --source ./tc/calibration/stereo --camera-pair 1,2 \
 
 The synthetic boards are rendered through the same camera models that rendered the
 particle images, so the recovered calibration corresponds exactly to the imaging system
-(`calibration/stereo/ground_truth.npz` holds the true cameras; expected recovery:
-stereo angle ≈ 89.9° vs the true 90.0°, RMS < 0.1 px). Detection writes proof figures
-beside the model.
+(`calibration/stereo/ground_truth.npz`) holds the true cameras.
 
 The experimental case uses a uniform scale-factor model rather than a fitted camera. The
 shipped model (`calibration/experimental/calibration/Cam1/scale_factor_planar/model/`)
@@ -308,17 +303,7 @@ experimental figure needs:
 | `lplus` | wire length in wall units (45.6) |
 | `nu_air` | kinematic viscosity (m²/s) |
 
-The figure plots the uncorrected variance deliberately: at l+ ≈ 46 the wire attenuates
-the near-wall peak, and the comparison discusses that rather than hiding it behind a
-correction.
 
-## Image orientation
-
-There are no masks: the stereo renders fill the full frame and the planar images are
-full-field. Both synthetic geometries read physically — the channel wall is at the bottom
-row, fast flow at the top. The stereo renders have a single deterministic vertical flip
-composed into both the images and the calibration boards, so calibration and images are
-consistent. Do not flip anything downstream.
 
 ## Provenance