法国CSC全流程记录
Published:
在这里我分享一下我申请CSC联培，前往法国Laboratoire d’Astrophysique de Bordeaux (LAB) 交流的全过程。本记录仅供参考，需配合小红书使用，CSC的流程和手续可能每年都不太一样，具体情况还是要与负责老师联系。
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CSC
MCMC
How to combine RADEX and MCMC
Published:
RADEX (van der Tak et al. 2007) is a simple but powerful code to solve non-LTE radiative transfer, and has been widely used in various astronomical environments. Generally, we use this code to fit the physical parameters of a molecular cloud with multiple transitions of a single molecular species. When fitting the data, we tend to minimize a loss function (or something similar), and MCMC (Markov chain Monte Carlo) is a powerful method to get the global minimum (instead of local minimum, which is the drawback of other methods like scipy.optimize.curve_fit whose fitting results strongly depend on the initial values given by the user) and a robust estimation of the error.
application
法国CSC全流程记录
Published:
在这里我分享一下我申请CSC联培，前往法国Laboratoire d’Astrophysique de Bordeaux (LAB) 交流的全过程。本记录仅供参考，需配合小红书使用，CSC的流程和手续可能每年都不太一样，具体情况还是要与负责老师联系。
calculation
How to combine RADEX and MCMC
Published:
RADEX (van der Tak et al. 2007) is a simple but powerful code to solve non-LTE radiative transfer, and has been widely used in various astronomical environments. Generally, we use this code to fit the physical parameters of a molecular cloud with multiple transitions of a single molecular species. When fitting the data, we tend to minimize a loss function (or something similar), and MCMC (Markov chain Monte Carlo) is a powerful method to get the global minimum (instead of local minimum, which is the drawback of other methods like scipy.optimize.curve_fit whose fitting results strongly depend on the initial values given by the user) and a robust estimation of the error.
codes
Bugs in codes installation and compilation
Published:
在这里我记录下安装和编译软件时遇到的所有bug。
How to combine RADEX and MCMC
Published:
RADEX (van der Tak et al. 2007) is a simple but powerful code to solve non-LTE radiative transfer, and has been widely used in various astronomical environments. Generally, we use this code to fit the physical parameters of a molecular cloud with multiple transitions of a single molecular species. When fitting the data, we tend to minimize a loss function (or something similar), and MCMC (Markov chain Monte Carlo) is a powerful method to get the global minimum (instead of local minimum, which is the drawback of other methods like scipy.optimize.curve_fit whose fitting results strongly depend on the initial values given by the user) and a robust estimation of the error.
instrument
cm/mm/sub-mm/IR telescopes available to Chinese Researchers
Published:
In this blog, I list and introduce some telescopes working in the centimeter/millimeter/sub-millimeter/infrared bands whose calls for proposal are open to Chinese researchers. Please note that the avialable instruments may change in different semester. Please refer to the official websites for more detailed and accurate information.
telescope
cm/mm/sub-mm/IR telescopes available to Chinese Researchers
Published:
In this blog, I list and introduce some telescopes working in the centimeter/millimeter/sub-millimeter/infrared bands whose calls for proposal are open to Chinese researchers. Please note that the avialable instruments may change in different semester. Please refer to the official websites for more detailed and accurate information.