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cortex: register euclid_sersics — row, ledger, runs 342696 and 342808 #37

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a4a9e4e
cortex: euclid_sersics birth — row, ledger and the core run 342696
Sep 13, 2026
b78add7
cortex: euclid_sersics variants array 342808 submitted
Sep 13, 2026
f796a0f
cortex: euclid_sersics simulated-sample vis_lp 342911 submitted
Sep 13, 2026
32ae64b
cortex: euclid_sersics sim-sample Sersic variants 343043 submitted
Sep 14, 2026
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27 changes: 24 additions & 3 deletions dashboard.html
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<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>PyAutoCortex Dashboard</title>
<!-- generated by `pyauto-brain cortex dashboard --apply` on 2026-09-13 — regenerate, do not hand-edit -->
<!-- generated by `pyauto-brain cortex dashboard --apply` on 2026-09-14 — regenerate, do not hand-edit -->
<style>:root{color-scheme:light dark;--bg:#fff;--fg:#1f2328;--muted:#59636e;
--line:#d8dee4;--btn:#f6f8fa;--ok:#1a7f37;--warn:#9a6700;--bad:#d1242f;
--accent:#a5177d;--tint:#a5177d14;--edge:#a5177d3d;
Expand Down Expand Up @@ -227,8 +227,8 @@
</head>
<body>
<header class="hero"><span class="orb"><svg class="mark" viewBox="0 0 48 48" fill="none" stroke="currentColor" stroke-width="1.3" stroke-linecap="round" stroke-linejoin="round" aria-hidden="true"><circle cx="24" cy="24" r="20.4"/><path d="M11.8,18.6 C14.4,14.8 17.8,14.4 20.1,17.1 C22.4,19.8 25.8,20.2 28.5,17.9 C31.2,15.6 34.4,16.2 36.1,19.1"/><path d="M11.6,24.6 C14.2,20.8 17.6,20.4 19.9,23.1 C22.2,25.8 25.6,26.2 28.3,23.9 C31.0,21.6 34.2,22.2 35.9,25.1"/><path d="M12.8,30.6 C15.3,27.2 18.4,26.8 20.5,29.4 C22.6,32.0 25.7,32.4 28.2,30.2"/><circle cx="32.6" cy="33.0" r="3.8"/><g fill="currentColor" stroke="none"><circle cx="32.6" cy="33.0" r="1.5"/><circle cx="11.7" cy="18.6" r="1.2"/><circle cx="11.5" cy="24.6" r="1.2"/></g></svg></span><h1>PyAuto<b>Cortex</b><span class="kind">Dashboard</span></h1><div class="rule"></div><p class="tag">Question. Run. Rule.</p></header><p class="lede">One ledger per science project: what is on the cluster right now, what the human said they would do next, and the last few things they wrote down. Nothing here is inferred from a result — the board hands you the check-in and the resume prompt; what a run meant is yours to log.</p>
<ul class="stats"><li><b>1</b><span>Running</span></li><li><b>20</b><span>Open</span></li><li><b>7</b><span>Projects</span></li></ul>
<div class="fresh"><p class="muted">Last updated 2026-09-13.</p></div>
<ul class="stats"><li><b>1</b><span>Running</span></li><li><b>21</b><span>Open</span></li><li><b>8</b><span>Projects</span></li></ul>
<div class="fresh"><p class="muted">Last updated 2026-09-14.</p></div>
<p class="muted mdsrc"><a href="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/dashboard.md">markdown version</a> · <a href="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/README.md">GitHub Page</a></p>
<div class="task"><button class="copy" data-cmd="/cortex — check in on every active science project since the last check-in (2026-09-13T10:34Z): pull each through its sync CLI, show me where each run stands, re-render and push the board, then read me the by-project summary. Record nothing about results — I will tell you what to log." aria-label="Copy the Claude command">📋</button><p>check in since last time</p></div>
<div class="checkin" id="checkin-box"><span class="mark" id="checkin-mark"></span><div><span class="label">Last check-in</span><time id="checkin" datetime="2026-09-13T10:34Z">2026-09-13T10:34Z</time><span class="note" id="checkin-note"></span></div></div>
Expand All @@ -237,6 +237,7 @@
<tr><th>Project</th><th>Running</th><th>Open</th><th>Last update</th></tr>
<tr><td><b>subhalo_validation</b></td><td>0</td><td>5</td><td>2026-09-07</td></tr>
<tr><td><b>euclid_dr1_prelim</b></td><td>1</td><td>3</td><td>2026-09-12</td></tr>
<tr><td><b>euclid_sersics</b></td><td>0</td><td>1</td><td>2026-09-14</td></tr>
<tr><td><b>analytic_gaussian</b></td><td>0</td><td>0</td><td>2026-09-10</td></tr>
<tr><td><b>ep_toy_gaussian</b></td><td>0</td><td>2</td><td>2026-09-10</td></tr>
<tr><td><b>slope_hierarchy_scale</b></td><td>0</td><td>4</td><td>2026-09-09</td></tr>
Expand Down Expand Up @@ -292,6 +293,26 @@ <h3>euclid_dr1_prelim — Refit the ten DR1-prelim tiles and rebuild the catalog
<div class="task"><button class="copy" data-cmd="/cortex — resume euclid_dr1_prelim: read PyAutoCortex projects/euclid_dr1_prelim.md (Now, Runs, Log) and then /mnt/c/Users/Jammy/Science/euclid_dr1_prelim/wiki/project/state.md and the assistant autolens_assistant's AGENTS.md; tell me where I left off and what I said I would do next. Submit nothing and log nothing until I say." aria-label="Copy the Claude command">📋</button><p>resume euclid_dr1_prelim</p></div>
</section>
<section class="project">
<h3>euclid_sersics — Why does the lens-light Sersic index pile up at the n=5 prior edge</h3>
<p class="muted">active · ral · <a href="https://github.com/PyAutoLabs/euclid_strong_lens_modeling_pipeline/issues/74">euclid_strong_lens_modeling_pipeline#74</a> · <a href="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/euclid_sersics.md">projects/euclid_sersics.md</a> · local <span class="pathchip">/mnt/c/Users/Jammy/Science/euclid_sersics</span> · RAL <span class="pathchip">/mnt/ral/jnightin/euclid_sersics</span></p>
<p><b>Now</b></p>
<p>The four Sersic-stage variants are done on the real sample (342808: 99 of 100 lenses with all four tags; task 72 lost its later variants to the walltime) and the simulated sample's vis_lp stage is done too (342911: 100 of 100). 343043 is now running the same four variants on the 100 mocks — the recovery test, where each fit's n can be read against the truth.json it was simulated from (49 of the 100 were simulated at n = 3.0 under the 4.95 prior-edge rule).<br>Next: when 343043 lands, pull it with the 342911 results, scrape all four variant tags on both samples with catalogue/scripts/lens_sersic.py --unique_tag sersic_lens_model_&lt;variant&gt;, and put the recovered n against truth side by side with the real sample's n distributions. The human rules on whether any variant clears the n = 5 pile-up.</p>
<p><b>Runs</b></p>
<ul>
<li>343043_[0-99] — open — ral — 2026-09-14 — euclid_sersics_sim_variants: the same four Sersic-stage variants — baseline, wide_n, central_noise, sersic_point — run sequentially inside each of 100 array ta…</li>
</ul>
<p><b>Last 5</b></p>
<ul>
<li>2026-09-14 — <i>run</i> — 343043_[0-99] submitted: euclid_sersics_sim_variants: the same four Sersic-stage variants — baseline, wide_n, central_noise, sersic_point — run sequentially inside each of 100 array tasks on the simulated sample dataset/dr1_sep1_sersics_si…</li>
<li>2026-09-14 — <i>run</i> — 342911_[0-99] finished — wall 1:59: euclid_sersics_sim_vis_lp: the vis_lp stage (initial_lens_model.py --stage=vis_lp, MGE lens + MGE source, 15 free parameters, identical to the real sample's stage 1) on the new simulated sample dataset/d…</li>
<li>2026-09-14 — <i>run</i> — 342808_[0-99] finished — wall 18:00: euclid_sersics_variants: the Sersic stage rerun in four variants — baseline, wide_n, central_noise, sersic_point — run sequentially inside each of 100 array tasks (one lens per task), array 0-99, 4 cpu…</li>
<li>2026-09-13 — <i>note</i> — the simulated sample behind 342911: scripts/simulator.py --from-result rebuilds each of the 100 lenses from its own sersic_lens_model_baseline/vis result of run 342808 (Sersic lens light + Sersic source), keeping that tile's real PSF stamp…</li>
<li>2026-09-13 — <i>run</i> — 342911_[0-99] submitted: euclid_sersics_sim_vis_lp: the vis_lp stage (initial_lens_model.py --stage=vis_lp, MGE lens + MGE source, 15 free parameters, identical to the real sample's stage 1) on the new simulated sample dataset/dr1_sep1_ser…</li>
</ul>
<p class="muted"><a href="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/euclid_sersics.md">full log</a></p>
<div class="task"><button class="copy" data-cmd="/cortex — resume euclid_sersics: read PyAutoCortex projects/euclid_sersics.md (Now, Runs, Log) and then /mnt/c/Users/Jammy/Science/euclid_sersics/wiki/project/state.md and the assistant autolens_assistant's AGENTS.md; tell me where I left off and what I said I would do next. Submit nothing and log nothing until I say." aria-label="Copy the Claude command">📋</button><p>resume euclid_sersics</p></div>
</section>
<section class="project">
<h3>analytic_gaussian — Graphical and EP against a closed-form Gaussian posterior, at ensemble scale</h3>
<p class="muted">active · ral · <a href="https://github.com/PyAutoLabs/PyAutoCortex/issues/34">PyAutoCortex#34</a> · <a href="https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/analytic_gaussian.md">projects/analytic_gaussian.md</a> · local <span class="pathchip">/mnt/c/Users/Jammy/Science/analytic_gaussian</span> · RAL <span class="pathchip">/mnt/ral/jnightin/analytic_gaussian</span></p>
<p><b>Now</b></p>
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40 changes: 36 additions & 4 deletions dashboard.md
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@@ -1,18 +1,18 @@
# PyAutoCortex Dashboard

<!-- generated by `pyauto-brain cortex dashboard --apply` on 2026-09-13 — regenerate, do not hand-edit -->
<!-- generated by `pyauto-brain cortex dashboard --apply` on 2026-09-14 — regenerate, do not hand-edit -->

This is the markdown version of the [PyAutoCortex Dashboard](https://pyautolabs.github.io/PyAutoCortex/), which puts the check-in and each project's resume prompt on your clipboard with a single tap of 📋.

One ledger per science project: what is on the cluster right now, what the human said they would do next, and the last few things they wrote down. Nothing here is inferred from a result — the board hands you the check-in and the resume prompt; what a run meant is yours to log.

> **Last updated 2026-09-13.**
> **Last updated 2026-09-14.**

| Where | Count |
|-------|------:|
| [Running](#projects) | 1 |
| [Open](#projects) | 20 |
| [Projects](#projects) | 7 |
| [Open](#projects) | 21 |
| [Projects](#projects) | 8 |

<details><summary>📋 check in since last time</summary>

Expand All @@ -30,6 +30,7 @@ One ledger per science project: what is on the cluster right now, what the human
|---|---:|---:|---|
| subhalo_validation | 0 | 5 | 2026-09-07 |
| euclid_dr1_prelim | 1 | 3 | 2026-09-12 |
| euclid_sersics | 0 | 1 | 2026-09-14 |
| analytic_gaussian | 0 | 0 | 2026-09-10 |
| ep_toy_gaussian | 0 | 2 | 2026-09-10 |
| slope_hierarchy_scale | 0 | 4 | 2026-09-09 |
Expand Down Expand Up @@ -107,6 +108,37 @@ Next: pull, bundle with output_sed, compare magnitudes (µJy fluxes) against the

</details>

### euclid_sersics — Why does the lens-light Sersic index pile up at the n=5 prior edge

active · ral · [euclid_strong_lens_modeling_pipeline#74](https://github.com/PyAutoLabs/euclid_strong_lens_modeling_pipeline/issues/74) · [projects/euclid_sersics.md](https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/euclid_sersics.md) · local `/mnt/c/Users/Jammy/Science/euclid_sersics` · RAL `/mnt/ral/jnightin/euclid_sersics`

**Now**

The four Sersic-stage variants are done on the real sample (342808: 99 of 100 lenses with all four tags; task 72 lost its later variants to the walltime) and the simulated sample's vis_lp stage is done too (342911: 100 of 100). 343043 is now running the same four variants on the 100 mocks — the recovery test, where each fit's n can be read against the truth.json it was simulated from (49 of the 100 were simulated at n = 3.0 under the 4.95 prior-edge rule).
Next: when 343043 lands, pull it with the 342911 results, scrape all four variant tags on both samples with catalogue/scripts/lens_sersic.py --unique_tag sersic_lens_model_<variant>, and put the recovered n against truth side by side with the real sample's n distributions. The human rules on whether any variant clears the n = 5 pile-up.

**Runs**

- 343043_[0-99] — open — ral — 2026-09-14 — euclid_sersics_sim_variants: the same four Sersic-stage variants — baseline, wide_n, central_noise, sersic_point — run sequentially inside each of 100 array ta…

**Last 5**

- 2026-09-14 — *run* — 343043_[0-99] submitted: euclid_sersics_sim_variants: the same four Sersic-stage variants — baseline, wide_n, central_noise, sersic_point — run sequentially inside each of 100 array tasks on the simulated sample dataset/dr1_sep1_sersics_si…
- 2026-09-14 — *run* — 342911_[0-99] finished — wall 1:59: euclid_sersics_sim_vis_lp: the vis_lp stage (initial_lens_model.py --stage=vis_lp, MGE lens + MGE source, 15 free parameters, identical to the real sample's stage 1) on the new simulated sample dataset/d…
- 2026-09-14 — *run* — 342808_[0-99] finished — wall 18:00: euclid_sersics_variants: the Sersic stage rerun in four variants — baseline, wide_n, central_noise, sersic_point — run sequentially inside each of 100 array tasks (one lens per task), array 0-99, 4 cpu…
- 2026-09-13 — *note* — the simulated sample behind 342911: scripts/simulator.py --from-result rebuilds each of the 100 lenses from its own sersic_lens_model_baseline/vis result of run 342808 (Sersic lens light + Sersic source), keeping that tile's real PSF stamp…
- 2026-09-13 — *run* — 342911_[0-99] submitted: euclid_sersics_sim_vis_lp: the vis_lp stage (initial_lens_model.py --stage=vis_lp, MGE lens + MGE source, 15 free parameters, identical to the real sample's stage 1) on the new simulated sample dataset/dr1_sep1_ser…

[full log](https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/euclid_sersics.md)

<details><summary>📋 resume euclid_sersics</summary>

```
/cortex — resume euclid_sersics: read PyAutoCortex projects/euclid_sersics.md (Now, Runs, Log) and then /mnt/c/Users/Jammy/Science/euclid_sersics/wiki/project/state.md and the assistant autolens_assistant's AGENTS.md; tell me where I left off and what I said I would do next. Submit nothing and log nothing until I say.
```

</details>

### analytic_gaussian — Graphical and EP against a closed-form Gaussian posterior, at ensemble scale

active · ral · [PyAutoCortex#34](https://github.com/PyAutoLabs/PyAutoCortex/issues/34) · [projects/analytic_gaussian.md](https://github.com/PyAutoLabs/PyAutoCortex/blob/main/projects/analytic_gaussian.md) · local `/mnt/c/Users/Jammy/Science/analytic_gaussian` · RAL `/mnt/ral/jnightin/analytic_gaussian`
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14 changes: 14 additions & 0 deletions projects.yaml
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Expand Up @@ -101,6 +101,20 @@ euclid_dr1_prelim:
status: active
note: "created by euclid-dr1-prep phase 4 (a Cortex task after migration); every path is the planned one; active 2026-09-07: phase 4 launched (jobs 342301_[0-9])"

euclid_sersics:
remote: none
local_path: /mnt/c/Users/Jammy/Science/euclid_sersics
ral_root: /mnt/ral/jnightin/euclid_sersics
mirror: none
sync_cli: hpc/sync
sync_verbs: [push, pull, logs, sync, push-data-init, pull-full, status, submit, push-submit, jobs, sacct, cancel, wait-and-pull, tail, du, check, clear-logs]
ledger: wiki/project/state.md
assistant: autolens_assistant
witness_file: catalogue/**/*.csv
partition: ral
status: active
note: "born 2026-09-11: why the lens-light Sersic index piles up at the prior edge n = 5 in the June Euclid catalogue (61 % of 2983 fits above 4.5; 67 of the chosen 100); site copy of PyAutoLabs/euclid_strong_lens_modeling_pipeline, sample dataset/dr1_sep1_sersics (100 unanimous-success lenses on the sep1 Segmentation.zip data, join table sample/lens_map.csv); remote none until the human creates one"

analytic_gaussian:
remote: none
local_path: /mnt/c/Users/Jammy/Science/analytic_gaussian
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