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SUMMARY:Cosmology with Computations Workshop
DTSTART:20231212T060000Z
DTEND:20231217T110000Z
DTSTAMP:20240302T103200Z
UID:indico-event-41@indico3.conference4me.psnc.pl
CONTACT:teeraparbc@nu.ac.th
DESCRIPTION:This workshop is intended for undergraduate/graduate students
and researchers interested in learning cosmology and numerical computation
s using CosmoMC and MontePython. During this workshop\, participants will
learn:\n\n\n Basic cosmology including cosmological perturbation theory.\n
Bayesian statistics and Markov Chain Monte Carlo (MCMC) technique for ana
lysing parameter constraints for data.\n The use of CosmoMC with CAMB.\n U
tilizing MontePython with CLASS.\n\n\nOrganizing Committee\n\n\n Piyabut B
urikham\, Chulalongkorn University\, Thailand\n Teeraparb Chantavat\, Inst
itute for Fundamental Study\, Naresuan University\, Thailand\n Kamphee Kar
wan\, Institute for Fundamental Study\, Naresuan University\, Thailand\n N
andan Roy\, Centre for Theoretical Physics and Natural Philosophy\, Mahido
l University\, Thailand\n Chakkrit Kaeonikhom\, Chiang Mai Rajabhat Univer
sity\, Chiang Mai\, Thailand\n Utane Sawangwit\, National Astronomical Res
earch Institute of Thailand\, Thailand\n Poom Kumam\, King Mongkut's Unive
rsity of Technology Thonburi\, Thailand\n\n\n**Limited availability upto 3
0 participants. The attending participants will be announced at later ti
me. The participants must bring his/her own computer/laptop to the works
hop.\n\nCosmoMC\n\n\nCosmoMC (Cosmological Monte Carlo) is a software tool
used in cosmology and astrophysics for exploring and analyzing the parame
ter space of cosmological models. It is primarily employed in the context
of Bayesian parameter estimation from cosmological data\, particularly in
the study of the cosmic microwave background (CMB) radiation\, large-scale
structure\, and other cosmological observables.\n\nCosmoMC utilizes Marko
v Chain Monte Carlo (MCMC) techniques to sample the parameter space of cos
mological models and estimate the likelihood of these models given the obs
erved data. This enables researchers to constrain and study the values of
various cosmological parameters\, such as the density of dark matter\, dar
k energy\, and the spectral index of primordial fluctuations. It is often
used in conjunction with other cosmological analysis tools like CAMB (Code
for Anisotropies in the Microwave Background) for calculating theoretical
predictions.\n\nResearchers use CosmoMC to compare theoretical cosmologic
al models with observational data\, helping to refine our understanding of
the universe's properties and evolution. It's a valuable tool for perform
ing Bayesian parameter estimation in the field of cosmology.\n\nMontePytho
n\n\n\nMontePython is a software tool used in the field of cosmology for c
onducting Bayesian parameter estimation from cosmological data. It is simi
lar in function to CosmoMC\, which I mentioned earlier. MontePython uses M
arkov Chain Monte Carlo (MCMC) techniques to sample the parameter space of
cosmological models and estimate the likelihood of these models given obs
erved data.\n\nResearchers in cosmology and astrophysics use MontePython t
o analyze a wide range of cosmological data\, such as data from cosmic mic
rowave background (CMB) experiments\, large-scale structure surveys\, and
other astrophysical observations. The tool allows for the exploration and
constraints of various cosmological parameters\, helping researchers to de
termine the best-fitting models that describe the universe's properties an
d evolution.\n\nMontePython is a flexible and customizable software packag
e that can be adapted to different cosmological models and datasets. It pr
ovides a framework for performing advanced statistical analyses and compar
ing theoretical models to observational data\, contributing to our underst
anding of the cosmos and the fundamental parameters that describe it.\n\n\
n\n\n\nhttps://indico3.conference4me.psnc.pl/event/41/
LOCATION:Hassanan Hotel\, Phitsanulok
URL:https://indico3.conference4me.psnc.pl/event/41/
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