Pith Number

pith:7MPJFZG6

pith:2019:7MPJFZG6XGQD6A4IU5H54XWDMK

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GetDist: a Python package for analysing Monte Carlo samples

Antony Lewis

GetDist provides automated kernel density estimation for weighted and correlated Monte Carlo samples with boundary corrections.

arxiv:1910.13970 v2 · 2019-10-30 · astro-ph.IM · astro-ph.CO · physics.data-an

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Claims

C1strongest claim

GetDist's baseline method consists of applying a linear boundary kernel, and then using multiplicative bias correction. The smoothing bandwidth is selected automatically following Botev et al., based on a mixture of heuristics and optimization results using the expected scaling with an effective number of samples.

C2weakest assumption

That the automatic bandwidth selection and linear boundary kernel produce accurate densities for the typical distributions and boundary conditions encountered in cosmological and physical parameter inference without requiring user tuning.

C3one line summary

GetDist implements boundary-corrected KDE with automatic smoothing for analyzing weighted and correlated Monte Carlo samples, plus plotting and diagnostic tools.

References

54 extracted · 54 resolved · 12 Pith anchors

[1] This range excludes extreme outliers by spanning from the range_confidence quantile to the quantile of total weight 1 − range_confidence

[2] • If a prior boundary is well outside the initial sample range, it is ignored for the purpose of this range setting

[3] This KDE accounts for boundary effects from any active priors and is normalized so its peak value is one

[4] Significant Density

[5] Flags (marge_limits_bot, marge_limits_top) are set to indicate if the distribution appears significantly trun- cated by a boundary prior; e.g

Formal links

2 machine-checked theorem links

Cited by

62 papers in Pith

Redshift Evolution of the HII Galaxy $L$-$\sigma$ Relation: Gaussian Process Analysis and Cosmological Implications

MUltiplexed Survey Telescope (MUST) Science White Paper I: Overview of Large-Scale Structure Cosmology in the Era of Stage-V Spectroscopic Surveys

SPT-3G D1: Axion Early Dark Energy with CMB experiments and DESI

Illuminating the Dark Sector: Understanding Modified Gravity Signatures with Cross-Correlations of Gravitational Waves and Large-Scale Structure

The Atacama Cosmology Telescope: A Measurement of the DR6 CMB Lensing Power Spectrum and its Implications for Structure Growth

Receipt and verification

First computed	2026-05-17T23:39:19.780395Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

fb1e92e4deb9a03f0388a74fde5ec362bf45e1fa07ec0de1368bce5161ed3c70

Aliases

arxiv: 1910.13970 · arxiv_version: 1910.13970v2 · doi: 10.48550/arxiv.1910.13970 · pith_short_12: 7MPJFZG6XGQD · pith_short_16: 7MPJFZG6XGQD6A4I · pith_short_8: 7MPJFZG6

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curl -sH 'Accept: application/ld+json' https://pith.science/pith/7MPJFZG6XGQD6A4IU5H54XWDMK \
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Canonical record JSON

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    "submitted_at": "2019-10-30T16:38:10Z",
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