ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran

Shahmoradi, Amir; Bagheri, Fatemeh

doi:10.21105/joss.02741

Cited by 4 publications

(1 citation statement)

References 7 publications

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“…The algorithm selected in this study must be capable of estimating the distributions of different intrinsic parameters that exert varying levels of influence on the changes in the indentation property, and consequently, the posterior density. In this study, we implement the delayed rejection adaptive metropolis algorithm (DRAM) [88,89] to calibrate the intrinsic properties. The MCMC states can be used to propagate the uncertainty in the intrinsic parameters to the uncertainty in the indentation properties at a given set of Euler angles and lamella thickness with the help of Monte-Carlo averaging as…”

Section: 62mentioning

confidence: 99%

A new framework for the assessment of model probabilities of the different crystal plasticity models for lamellar grains in α+β Titanium alloys

Venkatraman

Mohan

Joseph

et al. 2023

Modelling Simul. Mater. Sci. Eng.

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This paper presents a novel framework for assessing the relative accuracy of the different slip transfer criterion in modelling the constitutive response of the lamellar morphology grains in α-β Titanium alloys. The main steps involved in the proposed framework include: (i) rigorous statistical evaluation of the salient morphological characteristics of the lamellar grains using image processing techniques, (ii) modelling the effects of dislocation slip transfer as additive penalties to the critical resolved shear strengths of the different slip systems in each phase, (iii) consideration of multiple geometric slip transfer criteria for the numerical evaluation of the different penalty terms, and (iv) the Bayesian calibration of the material parameters in the constitutive descriptions using spherical nanoindentation experimental data on a polycrystalline Ti-6Al-4V sample. Step (iv) described above involves the construction and refinement of a gaussian process (GP) surrogate model for the indentation measurements, which is trained on crystal plasticity finite element (CPFE) simulations incorporating the constitutive descriptions selected in Steps (ii) and (iii). The GP surrogates are then combined with Markov Chain Monte Carlo (MCMC) sampling techniques to calibrate the parameters in the various constitutive models studied in this work. Additionally, we have computed the posterior model probabilities for all the constitutive models considered and identified the most plausible slip transfer criterion. This specific constitutive model is then utilized to present a homogenized crystal plasticity model for the lamellar morphology. The proposed framework presents a robust scale-bridging protocol for incorporating the uncertain information obtained from lower scales.

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Section: 62mentioning

confidence: 99%

A new framework for the assessment of model probabilities of the different crystal plasticity models for lamellar grains in α+β Titanium alloys

Venkatraman

Mohan

Joseph

et al. 2023

Modelling Simul. Mater. Sci. Eng.

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Alternative statistical interpretation for the apparent plateaus in the duration distributions of gamma-ray bursts

Alexander Osborne,

Michael Bryant,

Bagheri

et al. 2024

A&A

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The existence of a plateau in the short-duration tail of the observed distribution of cosmological long-soft gamma ray bursts (LGRBs) is posited to be the first direct evidence of collapsars. A similar plateau in the short-duration tail of the observed duration distribution of short-hard gamma ray bursts (SGRBs) has been suggested as evidence of compact binary mergers. We present an equally plausible alternative interpretation for this evidence, based on a purely statistical approach. Specifically, we show that the observed plateau in the short-duration tail of the duration distribution of LGRBs can naturally occur in the statistical distributions of strictly positive physical quantities, exacerbated by the effects of mixing with the duration distribution of SGRBs, observational selection effects, and data aggregation (e.g., binning) methodologies. The observed plateau in the short-duration tail of the observed distributions of SGRBs may likewise result from a combination of sample incompleteness and inhomogeneous binning of data. We further confirm the impact of these factors on the observation of a plateau in the duration distributions of GRBs through extensive numerical Monte Carlo simulations. This analysis corroborates and strengthens a purely statistical and sample-incompleteness interpretation of the observed plateau in the duration distribution of LGRBs and SGRBs, without invoking the physics of collapsars or jet-propagation through the stellar envelope.

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Bayesian Methods for Inferring Missing Data in the BATSE Catalog of Short Gamma-Ray Bursts

2022

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The knowledge of the redshifts of Short-duration Gamma-Ray Bursts (SGRBs) is essential for constraining their cosmic rates and thereby the rates of related astrophysical phenomena, particularly Gravitational Wave Radiation (GWR) events. Many of the events detected by gamma-ray observatories (e.g., BATSE, Fermi, and Swift) lack experimentally measured redshifts. To remedy this, we present and discuss a generic data-driven probabilistic modeling framework to infer the unknown redshifts of SGRBs in the BATSE catalog. We further explain how the proposed probabilistic modeling technique can be applied to newer catalogs of SGRBs and other astronomical surveys to infer the missing data in the catalogs.

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ParaMonte: A high-performance serial/parallel Monte Carlo simulation library for C, C++, Fortran

Cited by 4 publications

References 7 publications

A new framework for the assessment of model probabilities of the different crystal plasticity models for lamellar grains in α+β Titanium alloys

A new framework for the assessment of model probabilities of the different crystal plasticity models for lamellar grains in α+β Titanium alloys

Alternative statistical interpretation for the apparent plateaus in the duration distributions of gamma-ray bursts

Bayesian Methods for Inferring Missing Data in the BATSE Catalog of Short Gamma-Ray Bursts

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