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P. Murali

4 papers hereh-index 490 citations20 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author2

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • physics.ins-det2
  • astro-ph.CO1
  • hep-ph1
same name
  • P. Murali — 5 papers, h 2
  • P. Murali — 1 paper, h 0
  • P. Murali — 1 paper, h 0
  • P. Murali — 1 paper, h 8
  • P. Murali — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

physics.ins-det2025

Description of CRESST-II and CRESST-III pulse shape data

G. Angloher, S. Banik, D. Bartolot +62

A set of data from 68 cryogenic detectors operated in the CRESST dark matter search experiment between 2013 and 2019 was collected and labeled to train binary classifiers for data…

physics.ins-det2025

Observation of a low energy nuclear recoil peak in the neutron calibration data of an Al2​O3​ crystal in CRESST-III

CRESST Collaboration, G. Angloher, S. Banik +59

The current generation of cryogenic solid state detectors used in direct dark matter and CE\textnu NS searches typically reach energy thresholds of O(10)eV for nucl…

astro-ph.CO2025

The CRESST experiment: towards the next-generation of sub-GeV direct dark matter detection

G. Angloher, S. Banik, A. Bento +54

Direct detection experiments have established the most stringent constraints on potential interactions between particle candidates for relic, thermal dark matter and Standard Model…

hep-ph2024

Simultaneous Estimation of Elliptic Flow Coefficient and Impact Parameter in Heavy-Ion Collisions using CNN

Praveen Murali, Sadhana Dash, Basanta Kumar Nandi

A deep learning based method with Convolutional Neural Network (CNN) algorithm is developed for simultaneous determination of the Elliptic Flow coefficient (v2​) and the Impact…

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