activity
20202025
most citedFractional Brownian motion with random Hurst exponent: accelerating diffusion and persistence transitions

50 citations · 155 across the 9 of their papers we have counts for

collaborators

9 papers

cond-mat.stat-mech2025★ 14 cited

Multifractional Brownian motion with telegraphic, stochastically varying exponent

Michał Balcerek, Samudrajit Thapa, Krzysztof Burnecki +4

The diversity of diffusive systems exhibiting long-range correlations characterized by a stochastically varying Hurst exponent calls for a generic multifractional model. We present…

cond-mat.stat-mech2024★ 8 cited

Optimal conditions for first passage of jump processes with resetting

Mattia Radice, Giampaolo Cristadoro, Samudrajit Thapa

We investigate the first passage time beyond a barrier located at of a random walk with independent and identically distributed jumps, starting from . The walk is s…

cond-mat.soft2023★ 5 cited

Nonequilibrium Probability Currents in Optically-Driven Colloidal Suspensions

Samudrajit Thapa, Daniel Zaretzky, Ron Vatash +4

In the absence of directional motion it is often hard to recognize athermal fluctuations. Probability currents provide such a measure in terms of the rate at which they enclose are…

cond-mat.stat-mech2023★ 5 cited

Emergent clustering due to quorum sensing interactions in active matter

Samudrajit Thapa, Bat-El Pinchasik, Yair Shokef

Many organisms in nature use local interactions to generate global cooperative phenomena. To unravel how the behavior of individuals generates effective interactions within a group…

cond-mat.stat-mech2022★ 50 cited

Fractional Brownian motion with random Hurst exponent: accelerating diffusion and persistence transitions

Michał Balcerek, Krzysztof Burnecki, Samudrajit Thapa +2

Fractional Brownian motion, a Gaussian non-Markovian self-similar process with stationary long-correlated increments, has been identified to give rise to the anomalous diffusion be…

stat.ME2022★ 32 cited

Bayesian inference of scaled versus fractional Brownian motion

Samudrajit Thapa, Seongyu Park, Yeongjin Kim +3

We present a Bayesian inference scheme for scaled Brownian motion, and investigate its performance on synthetic data for parameter estimation and model selection in a combined infe…

physics.bio-ph2021★ 1 cited

Bayesian inference of Lévy walks via hidden Markov models

Seongyu Park, Samudrajit Thapa, Yeongjin Kim +2

The Lévy walk is a non-Brownian random walk model that has been found to describe anomalous dynamic phenomena in diverse fields ranging from biology over quantum physics to ecology…

physics.data-an2021★ 9 cited

Objective comparison of methods to decode anomalous diffusion

Gorka Muñoz-Gil, Giovanni Volpe, Miguel Angel Garcia-March +31

Deviations from Brownian motion leading to anomalous diffusion are found in transport dynamics from quantum physics to life sciences. The characterization of anomalous diffusion fr…

cond-mat.stat-mech2020★ 31 cited

Leveraging large-deviation statistics to decipher the stochastic properties of measured trajectories

Samudrajit Thapa, Agnieszka Wyłomańska, Grzegorz Sikora +5

Extensive time-series encoding the position of particles such as viruses, vesicles, or individual proteins are routinely garnered in single-particle tracking experiments or superco…