Simulation of high energy cosmic ray showers using CORSIKA

Simulation of high energy cosmic ray showers using CORSIKA

This Thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Applied Physics and Electronics, 2016.

Bibliografiske detaljer
Hovedforfatter:	Salam, Mohammed Shadman
Andre forfattere:	Momen, Mohammed Arshad
Format:	Thesis
Sprog:	English
Udgivet:	BRAC University 2017
Fag:	Cosmic ray CORSIKA
Online adgang:	http://hdl.handle.net/10361/7899

Lignende værker

Supersymmetric gauge theory: an application of group theory in high energy physics and starobinsky model of cosmological ination
af: Upoma, Ipshita Bonhi
Udgivet: (2016)

Crystals, x-rays and proteins
af: Sherwood, Dennis

Elements of x-ray diffraction /
af: Cullity, B. D. (Bernard Dennis)
Udgivet: (2002)

Thoracic complication detection on chest X-rays using deep learning
af: Ratul, Rizwanul Hoque, et al.
Udgivet: (2021)

On gamma-ray emission from pulsar magnetosphere
af: Mofiz, U. A., et al.
Udgivet: (2010)

DNA barcoding using Cytochrome c oxidase gene marker of Marine Sharks and Ray fish of Bangladesh
af: Ahmed, Sajid
Udgivet: (2020)

Cosmic Rays in Star-Forming Environments
Udgivet: (2013)

Gamma-Ray and Cosmic-Ray Detectors, Techniques, and Missions

X-Ray studies and magnetic properties of Ni-Cu-Zn ferrite
af: Rahman, M. L., et al.
Udgivet: (2011)

Satyajit Ray, an intimate master /
Udgivet: (1998)

Cosmic Dawn
af: Rhee
Udgivet: (2013)

Cosmic Electrodynamics
af: Fleishman
Udgivet: (2013)

Cosmic Apprentice
af: Sagan

Cosmic anger
af: Fraser, Gordon

Cosmic Research

Cosmic Research

X-Ray classification to detect COVID-19 using ensemble model
af: Solaiman, Ishmam Ahmed, et al.
Udgivet: (2021)

আত্নচরিত /
af: রায়, প্রফুল্লচন্দ্র

প্রফুল্লচন্দ্র /
af: ঘোষ, জয়দীপ

Detection of common thorax diseases from X-Ray images using a fusion of transfer and statistical learning method
af: Rafi, Ahmad Abdur, et al.
Udgivet: (2023)

Comparative study of X-ray and CT scan images for the detection of COVID-19 using deep learning
af: Niloy, Ahashan Habib, et al.
Udgivet: (2021)

Twenty stories /
af: Ray, Satyajit, 1921-1992
Udgivet: (1992)

A new approach for processing X-ray data for detecting mini-halos in galaxy clusters
af: Jafar, Zareef, et al.
Udgivet: (2021)

An eﬃcient deep learning approach for detecting lung disease from chest X-ray images using transfer learning and ensemble modeling
af: Sagor, Mostofa Kamal, et al.
Udgivet: (2021)

X-Ray (2D) and CT-scanned (3D) image matching for person identification
af: Hossain, Khondker Fariha, et al.
Udgivet: (2018)

An efficient deep learning approach to detect COVID-19 infected lungs using image data
af: Kabir, Asif Rezwan, et al.
Udgivet: (2022)

Detection of pneumonia from chest X-ray images using machine learning
af: Priya, Afsana Rahman, et al.
Udgivet: (2023)

Drinking from the Cosmic Gourd
af: Nyamnjoh

An Introduction to Cosmic Inflation Theory
af: Chowdhury, Fabliha Afroza
Udgivet: (2021)

Cosmic Ray Neutron Sensing: Estimation of Agricultural Crop Biomass Water Equivalent
af: Wahbi
Udgivet: (2018)

Semantic segmentation with attention dense U-net for lung extraction from X-ray images
af: Auvy, Akib Al Mahmud, et al.
Udgivet: (2023)

System of linear equations in Computed Tomography (CT)
af: Rahman, A.F.M. Azmain Musfiq
Udgivet: (2018)

Showers Brothers Furniture Company
af: Krause

Execution of coordinate based classifier system to predict specific criminal behavior using regional multi person pose estimator
af: Zaman, Md. Farhan, et al.
Udgivet: (2022)

Utilizing deep learning architectures for early detection of lung diseases in chest X-ray images
af: Ahmed, Sarder Tanvir, et al.
Udgivet: (2024)

A deep learning approach for pneumonia classiﬁcation from chest X-Ray images with ensemble modelling and explainable AI
af: Akhter, Nasrin
Udgivet: (2023)

Demystify the blackbox model of automated detection of lung and kidney diseases from X-ray and CT radiographs
af: Islam, Md. Nazmul
Udgivet: (2023)

একাল সেকাল : পাঁচ প্রজন্মের ইতিকথা /
af: রায়, ভারতী

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