Registered emulators¶
Generated from haloemu/manifest.json — the live source of truth. Regenerate with haloemu list or reg.list().
56 registered entries (trained emulators + derived recipes). Columns: key, kind, emulator class (or recipe), and a representative accuracy metric.
| Key | Kind | Class | Accuracy (sample) |
|---|---|---|---|
b_cum/LCDM/z0.25 |
trained | PeakHeightEmulator |
in_sample_rms_frac=0.363%; in_sample_max_frac=3.030% |
b_cum/fRn1/z0.25 |
trained | PeakHeightEmulator |
in_sample_rms_frac=0.501%; in_sample_max_frac=4.912% |
b_diff/LCDM/z0.25 |
derived | recipe |
xihh_factorization_ratio=1 +0.36% +/- 2.34% (LCDM z=0.25 sweep, r in [30,60] Mpc/h); swap_bdiff_shift_support_rms=0.001009 |
b_diff/fRn1/z0.25 |
derived | recipe |
validation=exercised through the xi_hh factorization + full-scale gates (bin_average_bias uses the same b_cum->b_diff inversion); xihh_factorization_ratio=1 +0.15% +/- 3.19% (fRn1 z=0.25 sweep, r in [30,60] Mpc/h) |
b_nbar/LCDM/z0.25 |
trained | BNbarEmulator |
max_abs_frac=8.525%; median_abs_frac=0.302% |
b_nbar/fRn1/z0.25 |
trained | BNbarEmulator |
max_abs_frac=14.717%; median_abs_frac=0.456% |
hmf/LCDM/z0.00 |
trained | HMFRoutedEmulator |
note=LOO rms at 14.5/15: LCDM 0.75%/3.00%, fRn1 boost 2.14%/7.15% (emu/loo_z0.00.json); legacy_note=z=0 deploy; plugin defaults from 2026-06-16 audit (k=4, restarts=10). interior LOO 0.76%, fiducial OOS 0.34% at SEM floor. |
hmf/LCDM/z0.25 |
trained | HMFRoutedEmulator |
note=LOO rms at 14.5/15: LCDM 1.04%/4.24%, fRn1 boost 2.82%/9.46%; held-out 100-box fiducial OOS n(>M): LCDM 0.9%/6.4%, fRn1 2.0%/3.5% (emu/loo_z0.25.json, figures/compare_old); legacy_note=k=4 (audit 2026-06-16): interior LOO 0.653%->0.493%, fiducial OOS 0.463%->0.252%; expsquared/constant confirmed optimal (ablation_sweep.py). Median at SEM floor. |
hmf/fRn1/z0.00 |
trained | HMFRoutedEmulator |
note=LOO rms at 14.5/15: LCDM 0.75%/3.00%, fRn1 boost 2.14%/7.15% (emu/loo_z0.00.json); legacy_note=boost composed w/ LCDM z=0 artifact. interior LOO 1.51% (median 0.28%), F5n1 OOS 1.07% (median 0.15%). Sharper screened tail at z=0 elevates the boost-GP RMS vs z=0.25; direct 5-d GP is ~22% (boost essential). |
hmf/fRn1/z0.25 |
trained | HMFRoutedEmulator |
note=LOO rms at 14.5/15: LCDM 1.04%/4.24%, fRn1 boost 2.82%/9.46%; held-out 100-box fiducial OOS n(>M): LCDM 0.9%/6.4%, fRn1 2.0%/3.5% (emu/loo_z0.25.json, figures/compare_old); legacy_note=seed-paired boost, n_restarts=10 (audit 2026-06-16): restarts 3->10 RESOLVED the screened-tail weakness (F6n1 rms 10.56%->0.31%, chi 95->6.6, tail max 27%->0.67%; F5n1 rms 1.87%->0.49%). in_sample is NOT the headline -- proper GP convergence raises in-sample while halving OOS; see fiducial_oos_* and restarts_sweep.py. |
hmf_extrap/LCDM/z0.25 |
derived | recipe |
note=Prompt 3-5 evidence: GP truncation pull(>15) std 1.6; n(>M) frac half-bands z=0.25-scale in fits/bands_summary.json and fr_screening_fits; regression checks in extrap/regression.json |
hmf_extrap/fRn1/z0.25 |
derived | recipe |
note=Prompt 3-5 evidence: GP truncation pull(>15) std 1.6; n(>M) frac half-bands z=0.25-scale in fits/bands_summary.json and fr_screening_fits; regression checks in extrap/regression.json |
pk_mm/LCDM/z0.00 |
trained | PkMMEmulator |
in_sample_rms_frac=4.797%; in_sample_rms_frac_emulated_win=0.330% |
pk_mm/LCDM/z0.25 |
trained | PkMMEmulator |
in_sample_rms_frac=4.760%; in_sample_rms_frac_emulated_win=0.290% |
pk_mm/fRn1/z0.00 |
trained | MGBoostEmulator |
in_sample_rms_frac=4.798%; in_sample_rms_frac_emulated_win=0.333% |
pk_mm/fRn1/z0.25 |
trained | MGBoostEmulator |
in_sample_rms_frac=4.760%; in_sample_rms_frac_emulated_win=0.292% |
r_ab/LCDM/z0.25 |
trained | RAbEmulator |
in_sample_rms_abs=0.003163; in_sample_z_rms=1.682 |
r_ab/fRn1/z0.25 |
trained | RAbEmulator |
in_sample_rms_abs=0.03176; median_abs_sem=0.002116 |
vel_binned/LCDM/z0.25 |
derived | recipe |
fiducial_5box={'coarse': {'m10': 0.9174447264244328, 'c20': 0.8653301873086648, 'c02': 0.7054737552511453, 'c12': 0.953935077830405, 'c30': 0.9214282201208226, 'c40': 1.163118800905724, 'c04': 1.0235635079079697, 'c22': 0.7469399404751185}, 'custom': {'m10': 0.9573151475430698, 'c20': 0.7846182253556824, 'c02': 0.9047604966176122, 'c12': 0.9827716386463405, 'c30': 0.9024151724121374, 'c40': 1.1873386366769478, 'c04': 0.9476456050892881, 'c22': 0.7953451692741318}}; weight_model={'coarse': {'m10': {'median_rel': 0.0008449724400318992, 'p95_rel': 0.01021119442957985, 'max_rel': 3.638135508537272}, 'c20': {'median_rel': 0.00010709016468068988, 'p95_rel': 0.012266253786328618, 'max_rel': 0.9999999999999986}, 'c02': {'median_rel': 0.0001338464856011079, 'p95_rel': 0.017457961531850752, 'max_rel': 0.9848336286855631}, 'c12': {'median_rel': 0.0001205010193148226, 'p95_rel': 0.14252228015754353, 'max_rel': 8.640641114964364}, 'c30': {'median_rel': 0.0001469359720482899, 'p95_rel': 0.045342903857602035, 'max_rel': 6.133434655999489}, 'c40': {'median_rel': 0.00024685382513067733, 'p95_rel': 0.025438736317797306, 'max_rel': 0.9999999999998043}, 'c04': {'median_rel': 0.00028925698682091827, 'p95_rel': 0.019264863518838382, 'max_rel': 0.9999359222383547}, 'c22': {'median_rel': 0.00025391650607020644, 'p95_rel': 0.02711789502069506, 'max_rel': 0.9999999999999994}}, 'custom': {'m10': {'median_rel': 0.0003206707269836073, 'p95_rel': 0.0037093445830063353, 'max_rel': 0.40546763400303854}, 'c20': {'median_rel': 6.100960459609617e-05, 'p95_rel': 0.010345530445930118, 'max_rel': 1.0}, 'c02': {'median_rel': 8.37762200140979e-05, 'p95_rel': 0.005123612730405069, 'max_rel': 0.26048857336339915}, 'c12': {'median_rel': 9.017638030628383e-05, 'p95_rel': 0.07499993044336699, 'max_rel': 17.64377661927267}, 'c30': {'median_rel': 8.790501242206261e-05, 'p95_rel': 0.030578920079563532, 'max_rel': 2.9508931149259197}, 'c40': {'median_rel': 0.00013284023295123681, 'p95_rel': 0.01761425371893557, 'max_rel': 1.0}, 'c04': {'median_rel': 0.00018092174669237515, 'p95_rel': 0.013972789784929662, 'max_rel': 0.2947403770130428}, 'c22': {'median_rel': 0.0001569536945877914, 'p95_rel': 0.014857379280011792, 'max_rel': 1.0000000000000018}}} |
vel_binned/fRn1/z0.25 |
derived | recipe |
fiducial_5box={'coarse': {'m10': 2.178303826886489, 'c20': 1.553775858150509, 'c02': 2.2992367886778315, 'c12': 1.1422822526318763, 'c30': 1.4192761120262654, 'c40': 1.4290500924189646, 'c04': 1.8268232116422705, 'c22': 1.6610133691970803}, 'custom': {'m10': 1.5719874653866504, 'c20': 1.5733373440941365, 'c02': 2.188308796855159, 'c12': 1.4993767805909106, 'c30': 1.225670687715894, 'c40': 1.4952297627925102, 'c04': 1.8068179529881112, 'c22': 1.5789086062466704}}; weight_model={'coarse': {'m10': {'median_rel': 0.0010356781717013597, 'p95_rel': 0.004867688612781975, 'max_rel': 5.111347831292921}, 'c20': {'median_rel': 0.0001769130678348496, 'p95_rel': 0.004567523397207552, 'max_rel': 1.0}, 'c02': {'median_rel': 0.00017971374472391943, 'p95_rel': 0.00404266364238028, 'max_rel': 0.9605496595677342}, 'c12': {'median_rel': 0.00025754404652023055, 'p95_rel': 0.05727128334221656, 'max_rel': 1.0}, 'c30': {'median_rel': 0.00023350862889959245, 'p95_rel': 0.037255130129207004, 'max_rel': 4.692259101028147}, 'c40': {'median_rel': 0.00034234690960621705, 'p95_rel': 0.008829670195261617, 'max_rel': 0.9999999999999986}, 'c04': {'median_rel': 0.000367240321008655, 'p95_rel': 0.013663272238305595, 'max_rel': 0.9994901046170478}, 'c22': {'median_rel': 0.00033274432812691046, 'p95_rel': 0.00975905319793818, 'max_rel': 1.0}}, 'custom': {'m10': {'median_rel': 0.0004001921084939575, 'p95_rel': 0.0026377334795972818, 'max_rel': 0.1951679989370071}, 'c20': {'median_rel': 3.179742901221472e-05, 'p95_rel': 0.004269166949442793, 'max_rel': 0.05962349466626038}, 'c02': {'median_rel': 4.3346699289070756e-05, 'p95_rel': 0.0029678228168931228, 'max_rel': 0.13982963799908132}, 'c12': {'median_rel': 9.116306447853884e-05, 'p95_rel': 0.047313748920331765, 'max_rel': 0.4840912046581294}, 'c30': {'median_rel': 8.660192528342492e-05, 'p95_rel': 0.01919110878898822, 'max_rel': 1.4891942627596442}, 'c40': {'median_rel': 6.610081518709787e-05, 'p95_rel': 0.006247100362133828, 'max_rel': 0.18546530680083917}, 'c04': {'median_rel': 8.900731511751747e-05, 'p95_rel': 0.013243062502026752, 'max_rel': 0.1754848433975409}, 'c22': {'median_rel': 7.765775434898092e-05, 'p95_rel': 0.005206602580539356, 'max_rel': 0.15879911598420848}}} |
vel_c02/LCDM/z0.25 |
trained | VelFineMomentEmulator |
in_sample_rms_abs=2160; in_sample_chi_rms=0.9509 |
vel_c02/fRn1/z0.25 |
trained | VelFineMomentBoostEmulator |
in_sample_rms_abs=3067; in_sample_chi_rms=1.188 |
vel_c04/LCDM/z0.25 |
trained | VelFineMomentEmulator |
in_sample_rms_abs=3.748e+09; in_sample_chi_rms=1.232 |
vel_c04/fRn1/z0.25 |
trained | VelFineMomentBoostEmulator |
in_sample_rms_abs=8.187e+09; in_sample_chi_rms=1.618 |
vel_c12/LCDM/z0.25 |
trained | VelFineMomentEmulator |
in_sample_rms_abs=8.715e+05; in_sample_chi_rms=0.9975 |
vel_c12/fRn1/z0.25 |
trained | VelFineMomentBoostEmulator |
in_sample_rms_abs=1.55e+06; in_sample_chi_rms=1.285 |
vel_c20/LCDM/z0.25 |
trained | VelFineMomentEmulator |
in_sample_rms_abs=3323; in_sample_chi_rms=0.9192 |
vel_c20/fRn1/z0.25 |
trained | VelFineMomentBoostEmulator |
in_sample_rms_abs=4393; in_sample_chi_rms=1.144 |
vel_c22/LCDM/z0.25 |
trained | VelFineMomentEmulator |
in_sample_rms_abs=1.949e+09; in_sample_chi_rms=1.18 |
vel_c22/fRn1/z0.25 |
trained | VelFineMomentBoostEmulator |
in_sample_rms_abs=2.922e+09; in_sample_chi_rms=1.458 |
vel_c30/LCDM/z0.25 |
trained | VelFineMomentEmulator |
in_sample_rms_abs=3.275e+06; in_sample_chi_rms=6.655e+11 |
vel_c30/fRn1/z0.25 |
trained | VelFineMomentBoostEmulator |
in_sample_rms_abs=4.422e+06; in_sample_chi_rms=4.328e+11 |
vel_c40/LCDM/z0.25 |
trained | VelFineMomentEmulator |
in_sample_rms_abs=1.031e+10; in_sample_chi_rms=1.211 |
vel_c40/fRn1/z0.25 |
trained | VelFineMomentBoostEmulator |
in_sample_rms_abs=1.432e+10; in_sample_chi_rms=2.166 |
vel_m10/LCDM/z0.25 |
trained | VelFineMomentEmulator |
in_sample_rms_abs=4.172; in_sample_chi_rms=0.8808 |
vel_m10/fRn1/z0.25 |
trained | VelFineMomentEmulator |
in_sample_rms_abs=4.623; in_sample_chi_rms=1.029 |
xi_hh/LCDM/z0.25 |
derived | recipe |
window_ratio_mean=0.355%; window_ratio_std=2.336% |
xi_hh/fRn1/z0.25 |
derived | recipe |
window_ratio_mean=0.149%; window_ratio_std=3.186% |
xi_hh_bin_smallr/LCDM/z0.25 |
trained | XiHHBinSmallREmulator |
in_sample_rms_abs=0.06431; in_sample_chi_rms=1.578 |
xi_hh_bin_smallr/fRn1/z0.25 |
trained | XiHHBinSmallREmulator |
in_sample_rms_abs=0.05348; in_sample_chi_rms=2.041 |
xi_hh_excl/LCDM/z0.25 |
trained | XiHHExclArtifact |
in_sample_dS_bands={'[0.3,0.6)': {'median_abs_dS': 0.004009338147931862, 'p90_abs_dS': 0.028047946209313883, 'n': 1038}, '[0.6,0.9)': {'median_abs_dS': 0.008461899210452484, 'p90_abs_dS': 0.030886361740470422, 'n': 1457}, '[0.9,1.2)': {'median_abs_dS': 0.00480054528795873, 'p90_abs_dS': 0.01520028134136956, 'n': 1060}, '[1.2,1.6)': {'median_abs_dS': 0.005011833706303315, 'p90_abs_dS': 0.016292106948952514, 'n': 1059}, '[1.6,2.2)': {'median_abs_dS': 0.006574027173298025, 'p90_abs_dS': 0.03162775439649162, 'n': 1082}}; held_out_model_region={'imodel_0': {'[0.36,0.6)': {'n_cells_r': 262, 'model_median_abs_frac': 0.10632243522718565, 'model_p90_abs_frac': 0.46403713759222776, 'model_chi_median_abs': 2.8839022576408837, 'old_clamp_median_abs_frac': 0.16077832411415693, 'old_excluded_median_abs_frac': 1.0}, '[0.6,0.9)': {'n_cells_r': 806, 'model_median_abs_frac': 0.08611121439085523, 'model_p90_abs_frac': 0.21914223782725462, 'model_chi_median_abs': 2.058333056798721, 'old_clamp_median_abs_frac': 0.18084517780087245, 'old_excluded_median_abs_frac': 1.0}, '[0.9,1.3)': {'n_cells_r': 685, 'model_median_abs_frac': 0.072778470948621, 'model_p90_abs_frac': 0.19835095079185508, 'model_chi_median_abs': 1.5307769811667022, 'old_clamp_median_abs_frac': 0.2863626932038916, 'old_excluded_median_abs_frac': 1.0}, '[1.3,2.05)': {'n_cells_r': 294, 'model_median_abs_frac': 0.05543635241656081, 'model_p90_abs_frac': 0.14711191777810528, 'model_chi_median_abs': 1.1424044657784789, 'old_clamp_median_abs_frac': 0.2735730964365834, 'old_excluded_median_abs_frac': 1.0}, '[2.05,3.0)': {'n_cells_r': 50, 'model_median_abs_frac': 0.057157374190818344, 'model_p90_abs_frac': 0.1398063380645129, 'model_chi_median_abs': 1.2205613697589186, 'old_clamp_median_abs_frac': 0.23298098432806813, 'old_excluded_median_abs_frac': 1.0}}} |
xi_hh_excl/fRn1/z0.25 |
trained | XiHHExclArtifact |
in_sample_dS_bands={'[0.3,0.6)': {'median_abs_dS': 0.04700630999185801, 'p90_abs_dS': 0.10589489432208331, 'n': 50}, '[0.6,0.9)': {'median_abs_dS': 0.03037642931213952, 'p90_abs_dS': 0.0719053312374979, 'n': 876}, '[0.9,1.2)': {'median_abs_dS': 0.012305639165041793, 'p90_abs_dS': 0.03514720395218598, 'n': 1028}, '[1.2,1.6)': {'median_abs_dS': 0.011219528625186909, 'p90_abs_dS': 0.03432407821150373, 'n': 1172}, '[1.6,2.2)': {'median_abs_dS': 0.012066939218580652, 'p90_abs_dS': 0.03701458519489767, 'n': 1104}}; held_out_model_region={'imodel_0': {'[0.9,1.3)': {'n_cells_r': 219, 'model_median_abs_frac': 0.24004906385386438, 'model_p90_abs_frac': 0.47968806221747695, 'model_chi_median_abs': 4.5049797304924155, 'old_clamp_median_abs_frac': 0.3056875584280435, 'old_excluded_median_abs_frac': 1.0}, '[1.3,2.05)': {'n_cells_r': 13, 'model_median_abs_frac': 0.12029437582904223, 'model_p90_abs_frac': 0.20521689977199176, 'model_chi_median_abs': 1.4815105178130508, 'old_clamp_median_abs_frac': 0.28984642181954734, 'old_excluded_median_abs_frac': 1.0}}, 'imodel_-1': {'[0.9,1.3)': {'n_cells_r': 217, 'model_median_abs_frac': 0.18084335509229255, 'model_p90_abs_frac': 0.38098012022367195, 'model_chi_median_abs': 2.844196799079866, 'old_clamp_median_abs_frac': 0.3183029423011753, 'old_excluded_median_abs_frac': 1.0}, '[1.3,2.05)': {'n_cells_r': 13, 'model_median_abs_frac': 0.04385295852633608, 'model_p90_abs_frac': 0.14940952637759009, 'model_chi_median_abs': 0.5545731770803044, 'old_clamp_median_abs_frac': 0.2122161854633452, 'old_excluded_median_abs_frac': 1.0}}} |
xi_hh_nbar/LCDM/z0.25 |
derived | recipe |
development_model0={'band_0.5-2': {'rms_z': 2.463915255967704, 'mean_z': -0.5122843764592395, 'rms_frac_q': 0.13202773343943783, 'rms_frac_q_precise': 0.008325657835962277, 'n_precise_cells': 266, 'n_cells': 2132}, 'band_2-10': {'rms_z': 0.9564902301224546, 'mean_z': 0.0014667731896149117, 'rms_frac_q': 0.04879041636950602, 'rms_frac_q_precise': 0.004496478348529743, 'n_precise_cells': 2287, 'n_cells': 6695}, 'band_10-30': {'rms_z': 0.6296843193419024, 'mean_z': -0.031598919362660384, 'rms_frac_q': 0.020536014394747792, 'rms_frac_q_precise': 0.0028409688120673176, 'n_precise_cells': 2897, 'n_cells': 4464}, 'seam': {'mean_z': 0.015554304874505995, 'rms_z': 0.8901020207170847, 'n_cells': 2244}, 'large_scale': {'mean_z': -0.14648895882624902, 'rms_z': 0.825548561389712, 'median_abs_xi_err': 0.0009013015645150668, 'n_cells': 6732}, 'count_route': {'mean_deviance_per_cell': 52.38283426957723, 'rms_frac_q_precise': None, 'n_precise_cells': 0, 'zero_dd_cells': 351, 'n_cells': 3849}}; independent_external={'acceptance_spec_sha256': '49e12cde9b97b4c28d5a97dc42063e7e58f661620867fbfd0412ea0e25310dc3', 'artifact_chain_sha256': '01781672becdc7b0ce5734e6a9d404003b33aa8e594ec151efb8540fd48f3557', 'code_sha256': '40408d67d7d1c1968cc7a6353cc60b8258d730555bc7a76ba502b9a4b13efc6b', 'coverage_caveat': 'independent-seed realizations at the development cosmology; no second LCDM cosmology has catalogues in this suite, so the cosmology axis is covered by the leave-one-out record only', 'created_at': '2026-08-20T10:45:58.396251+00:00', 'evaluation_protocol': 'independent five-box subsets (6-10 and 11-15) per set, evaluated at the precision the frozen thresholds were calibrated for; EVERY subset must pass. No threshold was changed: a ten-box stack would shrink the SEM by ~sqrt(2) and silently redefine every z threshold', 'gravity': 'LCDM', 'independence_basis': 'boxes 6-15 (and the F6n1 suite) never entered any recipe, mask, seam, taper, blend or threshold choice; the artifact chain was frozen and hash-pinned before these data were measured', 'independent_of_recipe_selection': True, 'passed': True, 'redshift': 0.25, 'schema_version': 1, 'seed_debias_convention': 'deployed correction ON: fiducial boxes 1-5 share the design frozen seeds (verified, pattern correlation +0.78) while boxes 6-15 do not (-0.79), so the ensemble-mean prediction is the correct comparison for these data', 'sets': [{'checks': {'band_0.5-2': True, 'band_10-30': True, 'band_2-10': True, 'extension_bands': True, 'finite': True, 'seam': True, 'xi_ge_minus_one': True}, 'iboxes': [6, 7, 8, 9, 10], 'imodel': 0, 'label': 'LCDM_m0_b6-15', 'metrics': {'band_0.5-2': {'mean_z': -0.22591119889947164, 'n_cells': 2132, 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2.0643958575695533}, 'finite_everywhere': True, 'seam': {'mean_z': 0.5950209352822751, 'n_cells': 2244, 'rms_z': 1.0211931540323287}, 'xi_min': -0.9996799194737733}, 'n_boxes': 5, 'passed': True, 'precision_matched_to_development': True, 'seed_debias': 'deployed correction ON (independent-seed data)', 'seed_debias_off_sensitivity': {'band_0.5-2': {'mean_z': -0.22591119889947164, 'n_cells': 2132, 'n_precise_cells': 255, 'rms_frac_q_precise': 0.009383257117345901, 'rms_z': 2.479631425193483}, 'band_10-30': {'mean_z': 1.5320694856625756, 'n_cells': 4464, 'n_precise_cells': 2824, 'rms_frac_q_precise': 0.008044878862361994, 'rms_z': 2.0497430207821603}, 'band_2-10': {'mean_z': 0.20765816606196297, 'n_cells': 6695, 'n_precise_cells': 2210, 'rms_frac_q_precise': 0.007646281171815553, 'rms_z': 1.194426393621911}, 'seam': {'mean_z': 1.4417143363342726, 'n_cells': 2244, 'rms_z': 1.8799960898120731}}, 'stack_path': '/cosma8/data/dp203/dc-ruan1/degrace_pilot/gravity_LCDM/z_0.25/imodel_0/xi_AB_nbar_counts_stack_v5_external_b06-10.hdf5', 'stack_sha256': '0d4e8e980f7f9dc9cecb551c1b96aeb9f4c4e6dab7e98da00a6f90c2a1998216', 'theta': [0.3089, 0.6774, 0.9667, 0.827914], 'theta_keys': ['Omega_m', 'h', 'n_s', 'S_8']}, {'checks': {'band_0.5-2': True, 'band_10-30': True, 'band_2-10': True, 'extension_bands': True, 'finite': True, 'seam': True, 'xi_ge_minus_one': True}, 'iboxes': [11, 12, 13, 14, 15], 'imodel': 0, 'label': 'LCDM_m0_b6-15', 'metrics': {'band_0.5-2': {'mean_z': -0.3710967174842446, 'n_cells': 2132, 'n_precise_cells': 278, 'rms_frac_q_precise': 0.012572982049456352, 'rms_z': 2.5896365951496327}, 'band_10-30': {'mean_z': 0.7477136351190344, 'n_cells': 4464, 'n_precise_cells': 2833, 'rms_frac_q_precise': 0.006764769704281882, 'rms_z': 1.5747891202402249}, 'band_2-10': {'mean_z': -0.1727407436638057, 'n_cells': 6695, 'n_precise_cells': 2135, 'rms_frac_q_precise': 0.007401759307990118, 'rms_z': 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'n_precise_cells': 278, 'rms_frac_q_precise': 0.012572982049456352, 'rms_z': 2.5896365951496327}, 'band_10-30': {'mean_z': 1.4597469039241544, 'n_cells': 4464, 'n_precise_cells': 2833, 'rms_frac_q_precise': 0.008910918054695039, 'rms_z': 1.9336849037791937}, 'band_2-10': {'mean_z': 0.06287671092470051, 'n_cells': 6695, 'n_precise_cells': 2135, 'rms_frac_q_precise': 0.007137829548985681, 'rms_z': 1.1133638225146092}, 'seam': {'mean_z': 1.800019353534111, 'n_cells': 2244, 'rms_z': 2.2518178428028373}}, 'stack_path': '/cosma8/data/dp203/dc-ruan1/degrace_pilot/gravity_LCDM/z_0.25/imodel_0/xi_AB_nbar_counts_stack_v5_external_b11-15.hdf5', 'stack_sha256': '60259e2d450b1d80b168d547d3fa82f2b8d90041bef4de8cec09c0f98fd249e1', 'theta': [0.3089, 0.6774, 0.9667, 0.827914], 'theta_keys': ['Omega_m', 'h', 'n_s', 'S_8']}, {'checks': {'band_0.5-2': True, 'band_10-30': True, 'band_2-10': True, 'extension_bands': True, 'finite': True, 'seam': True, 'xi_ge_minus_one': True}, 'iboxes': [16, 17, 18, 19, 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{'mean_z': -0.35465845049614897, 'n_cells': 2132, 'n_precise_cells': 234, 'rms_frac_q_precise': 0.010542920990981648, 'rms_z': 2.4648169067109666}, 'band_10-30': {'mean_z': 0.7378408932445057, 'n_cells': 4464, 'n_precise_cells': 2838, 'rms_frac_q_precise': 0.006829609001489823, 'rms_z': 1.3288283220144539}, 'band_2-10': {'mean_z': 0.42698573130510925, 'n_cells': 6695, 'n_precise_cells': 2241, 'rms_frac_q_precise': 0.006732065218858418, 'rms_z': 1.2060084253931402}, 'seam': {'mean_z': 1.5748803502081998, 'n_cells': 2244, 'rms_z': 2.0985040776787582}}, 'stack_path': '/cosma8/data/dp203/dc-ruan1/degrace_pilot/gravity_LCDM/z_0.25/imodel_0/xi_AB_nbar_counts_stack_v5_external_b21-25.hdf5', 'stack_sha256': '064480d7026e6a48c6ee4def013f367b4acac0ae141a41615d08902613e00584', 'theta': [0.3089, 0.6774, 0.9667, 0.827914], 'theta_keys': ['Omega_m', 'h', 'n_s', 'S_8']}], 'training_manifest_sha256': '75fc7e1d28986529352e352bae9dc477dd219ddd9928b2dcbdbda99acf0ee161'} |
xi_hh_nbar/fRn1/z0.25 |
derived | recipe |
development_model0={'band_0.5-2': {'rms_z': 2.486650140010837, 'mean_z': -0.14440664247827958, 'rms_frac_q': 0.18426561893799587, 'rms_frac_q_precise': 0.014861823010233938, 'n_precise_cells': 270, 'n_cells': 2132}, 'band_2-10': {'rms_z': 1.5498373172037094, 'mean_z': -0.4574642383179384, 'rms_frac_q': 0.049524069626755034, 'rms_frac_q_precise': 0.010074480647970124, 'n_precise_cells': 2236, 'n_cells': 6695}, 'band_10-30': {'rms_z': 1.0583327352048058, 'mean_z': -0.38164808191815813, 'rms_frac_q': 0.02136825597815459, 'rms_frac_q_precise': 0.005402339529814683, 'n_precise_cells': 2897, 'n_cells': 4464}, 'seam': {'mean_z': 0.22519945530938482, 'rms_z': 0.8553613244893495, 'n_cells': 2244}, 'large_scale': {'mean_z': 0.26016386793038593, 'rms_z': 0.8257956117936217, 'median_abs_xi_err': 0.000874214057838274, 'n_cells': 6732}, 'count_route': {'mean_deviance_per_cell': 59.55795117541293, 'rms_frac_q_precise': None, 'n_precise_cells': 0, 'zero_dd_cells': 123, 'n_cells': 3849}}; independent_external={'acceptance_spec_sha256': '49e12cde9b97b4c28d5a97dc42063e7e58f661620867fbfd0412ea0e25310dc3', 'artifact_chain_sha256': 'be880bdc0283a9ed5fd834bbc3fca8dde5592317e90f413b1f95b648ba368075', 'code_sha256': '40408d67d7d1c1968cc7a6353cc60b8258d730555bc7a76ba502b9a4b13efc6b', 'coverage_caveat': 'independent-seed realizations at the development cosmology plus the independent F6n1 cosmology (log10 f_R0 = -6)', 'created_at': '2026-08-20T10:45:58.439113+00:00', 'evaluation_protocol': 'independent five-box subsets (6-10 and 11-15) per set, evaluated at the precision the frozen thresholds were calibrated for; EVERY subset must pass. No threshold was changed: a ten-box stack would shrink the SEM by ~sqrt(2) and silently redefine every z threshold', 'gravity': 'fRn1', 'independence_basis': 'boxes 6-15 (and the F6n1 suite) never entered any recipe, mask, seam, taper, blend or threshold choice; the artifact chain was frozen and hash-pinned before these data were measured', 'independent_of_recipe_selection': True, 'passed': True, 'redshift': 0.25, 'schema_version': 1, 'seed_debias_convention': 'deployed correction ON: fiducial boxes 1-5 share the design frozen seeds (verified, pattern correlation +0.78) while boxes 6-15 do not (-0.79), so the ensemble-mean prediction is the correct comparison for these data', 'sets': [{'checks': {'band_0.5-2': True, 'band_10-30': True, 'band_2-10': True, 'finite': True, 'seam': True, 'xi_ge_minus_one': True}, 'iboxes': [6, 7, 8, 9, 10], 'imodel': 0, 'label': 'fRn1_m0_b6-15', 'metrics': {'band_0.5-2': {'mean_z': 0.1995973434966436, 'n_cells': 2132, 'n_precise_cells': 249, 'rms_frac_q_precise': 0.018348354209573904, 'rms_z': 2.4729718321372283}, 'band_10-30': {'mean_z': 0.07502029078813413, 'n_cells': 4464, 'n_precise_cells': 2782, 'rms_frac_q_precise': 0.004789957366441048, 'rms_z': 1.2402668068521443}, 'band_2-10': {'mean_z': -0.4078936701881501, 'n_cells': 6695, 'n_precise_cells': 2246, 'rms_frac_q_precise': 0.010845045077579734, 'rms_z': 1.579805107716135}, 'count_route_labelled': {'mean_deviance_per_cell': 40.75158240057178, 'n_cells': 3849}, 'extension_band_0.5-2': {'mean_z': 0.6101580213649992, 'n_cells': 439, 'n_precise_cells': 199, 'rms_frac_q_precise': 0.02105737244290448, 'rms_z': 4.796254710060325}, 'extension_band_10-30': {'mean_z': -0.7218008681198934, 'n_cells': 585, 'n_precise_cells': 585, 'rms_frac_q_precise': 0.003178901992358583, 'rms_z': 2.2348736148758284}, 'extension_band_2-10': {'mean_z': -0.7107930801121806, 'n_cells': 910, 'n_precise_cells': 734, 'rms_frac_q_precise': 0.008585769234304926, 'rms_z': 3.055210358367993}, 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0.01047423289261143, 'rms_z': 1.706069593131691}, 'count_route_labelled': {'mean_deviance_per_cell': 31.91077278474222, 'n_cells': 3849}, 'extension_band_0.5-2': {'mean_z': 1.4860813430695199, 'n_cells': 439, 'n_precise_cells': 202, 'rms_frac_q_precise': 0.025848715669081517, 'rms_z': 4.948732946765027}, 'extension_band_10-30': {'mean_z': 0.8519580436760498, 'n_cells': 585, 'n_precise_cells': 585, 'rms_frac_q_precise': 0.005765738933589041, 'rms_z': 1.592805631311412}, 'extension_band_2-10': {'mean_z': 3.9988307229683087, 'n_cells': 910, 'n_precise_cells': 739, 'rms_frac_q_precise': 0.017585437610301728, 'rms_z': 4.763337861036448}, 'finite_everywhere': True, 'seam': {'mean_z': 0.3540668671210133, 'n_cells': 2244, 'rms_z': 1.1316195063120789}, 'xi_min': -0.9994002546761092}, 'n_boxes': 5, 'passed': True, 'precision_matched_to_development': True, 'seed_debias': 'deployed correction ON (independent-seed data)', 'seed_debias_off_sensitivity': {'band_0.5-2': {'mean_z': 0.0989154224585067, 'n_cells': 2132, 'n_precise_cells': 217, 'rms_frac_q_precise': 0.017942950875597233, 'rms_z': 2.267153070914078}, 'band_10-30': {'mean_z': 0.640583718849658, 'n_cells': 4464, 'n_precise_cells': 2863, 'rms_frac_q_precise': 0.007124164402434708, 'rms_z': 1.3693086614760042}, 'band_2-10': {'mean_z': 0.9624450255205298, 'n_cells': 6695, 'n_precise_cells': 2227, 'rms_frac_q_precise': 0.011346771680173314, 'rms_z': 1.8459471513831907}, 'seam': {'mean_z': 1.4952466180393602, 'n_cells': 2244, 'rms_z': 1.9767179646225885}}, 'stack_path': '/cosma8/data/dp203/dc-ruan1/degrace_pilot/gravity_fRn1/z_0.25/imodel_-1/xi_AB_nbar_counts_stack_v5_external_b21-25.hdf5', 'stack_sha256': '1b9e74a16534f64cac26d9af7d0d06b390b5c445a3ebe5961ca877fe6f88bed9', 'theta': [0.3089, 0.6774, 0.9667, 0.827914, -6.0], 'theta_keys': ['Omega_m', 'h', 'n_s', 'S_8', 'logf_R0']}], 'training_manifest_sha256': '75fc7e1d28986529352e352bae9dc477dd219ddd9928b2dcbdbda99acf0ee161'} |
xi_hh_nbar_dn/LCDM/z0.25 |
trained | SavedEmulator |
0.5-2={'median_abs_z': 0.7572164048814356, 'n_cells': 2571, 'n_precise_cells': 14667, 'rms_frac_q': 41.84607207296935, 'rms_frac_q_precise': 0.010136871205705474, 'rms_z': 4.087210151972391}; 10-30={'median_abs_z': 0.40622929858532186, 'n_cells': 5049, 'n_precise_cells': 180083, 'rms_frac_q': 0.01783013673471076, 'rms_frac_q_precise': 0.0033544176763558287, 'rms_z': 0.7115823989663014} |
xi_hh_nbar_dn/fRn1/z0.25 |
trained | SavedEmulator |
0.5-2={'median_abs_z': 1.267588501064088, 'n_cells': 2571, 'n_precise_cells': 13642, 'rms_frac_q': 322.2482330641765, 'rms_frac_q_precise': 0.0194152120889162, 'rms_z': 30.983393992698957}; 10-30={'median_abs_z': 0.501842894731974, 'n_cells': 5049, 'n_precise_cells': 168501, 'rms_frac_q': 0.01975376025137096, 'rms_frac_q_precise': 0.004352154746378739, 'rms_z': 0.9328444966170895} |
xi_hh_nbar_excl/LCDM/z0.25 |
trained | ExclGateArtifact |
mean_deviance_per_cell=4.692 |
xi_hh_nbar_excl/fRn1/z0.25 |
trained | ExclGateArtifact |
mean_deviance_per_cell=4.752 |
xi_hh_smallr/LCDM/z0.25 |
trained | XiABSmallREmulator |
in_sample_rms_abs=0.00766; in_sample_chi_rms=1.261 |
xi_hh_smallr/fRn1/z0.25 |
trained | XiABSmallREmulator |
in_sample_rms_abs=0.008875; in_sample_chi_rms=2.703 |
xi_mm/LCDM/z0.00 |
trained | XiMMEmulator |
in_sample_rms_frac_masked=0.615%; in_sample_rms_frac_linwin_masked=0.350% |
xi_mm/LCDM/z0.25 |
trained | XiMMEmulator |
in_sample_rms_frac_masked=0.486%; in_sample_rms_frac_linwin_masked=0.340% |
xi_mm/fRn1/z0.00 |
trained | MGBoostEmulator |
in_sample_rms_frac_masked=0.606%; in_sample_rms_frac_linwin_masked=0.347% |
xi_mm/fRn1/z0.25 |
trained | MGBoostEmulator |
in_sample_rms_frac_masked=0.479%; in_sample_rms_frac_linwin_masked=0.337% |
xi_mm_smallr/LCDM/z0.25 |
trained | XiMMEmulator |
in_sample_median_abs_frac=0.035%; in_sample_max_abs_frac=0.782% |
xi_mm_smallr/fRn1/z0.25 |
trained | MGBoostEmulator |
in_sample_median_abs_frac=0.034%; in_sample_max_abs_frac=0.773% |
Note
Accuracy keys vary by property: *_frac are fractional (shown as %), *_chi_* are χ = residual/SEM (dimensionless), *_abs are in the quantity's own units. The full block per emulator is reg.entry(prop, gravity, z)["accuracy"].