activity
20242026
most citedDark matter as the source of neutrino mass: theory overview and experimental prospects

5 citations · 5 across the 2 of their papers we have counts for

collaborators

9 papers

econ.TH2026

Strategy-Proof Probabilistic Social Choice Correspondences under Conditional Expected Utility

Madhuparna Karmokar, Ujjwal Kumar, Soumyarup Sadhukhan

We study unanimous and strategy-proof probabilistic social choice correspondences (PSCCs), where the selected set of alternatives is interpreted as an interim outcome, and agents e…

hep-ph20265 cited

Dark matter as the source of neutrino mass: theory overview and experimental prospects

Ivania M. Ávila, Anirban Karan, Sanjoy Mandal +2

We review theoretical frameworks in which small neutrino masses arise radiatively through interactions with a dark sector that also accounts for cosmological dark matter (DM). A pr…

econ.TH2025

A characterization of strategy-proof probabilistic assignment rules

Sai Praneeth Donthu, Souvik Roy, Soumyarup Sadhukhan +1

We study the classical probabilistic assignment problem, where finitely many indivisible objects are to be probabilistically or proportionally assigned among an equal number of age…

math.CO2025

The Game of Graph Nim on graphs with four edges

Sayar Karmakar, Moumanti Podder, Souvik Roy +1

This work is concerned with the study of the Game of Graph Nim -- a class of two-player combinatorial games -- on graphs with edges. To each edge of such a graph is assigned a…

hep-ph2025

Neutrino fog in the light dark sector: the role of isospin violation

Víctor Martín Lozano, Shankar Pramanik, Soumya Sadhukhan +1

Dark matter (DM) direct detection is now standing at an interesting juncture, where the Standard Model (SM) neutrino background and the upper bound on the DM signal cross section a…

econ.TH2025

On Probabilistic Assignment Rules

Sreedurga Gogulapati, Yadati Narahari, Souvik Roy +1

We study the classical assignment problem with initial endowments in a probabilistic framework. In this setting, each agent initially owns an object and has strict preferences over…