Welcome to MICA2’s documentation!#
A Non-parametric Approach to Constrain the Transfer Function and Measure the Time Delay in Reverberation Mapping.
The transfer function is expressed into a family of Gaussians and the continuum variability is described by a damped random walk.
Reference: Li, Y.-R., Wang, J.-M., & Bai, J.-M. 2016, ApJ, 831, 206.
Documentation#
- What is MICA?
- Getting Started
- Prior Types of Lags
- Systematic Error Parameter
- Diffusive Nested Sampling
- Resuming from Last Run
- Measuring Time Lags
- Transfer Function and Its Uncertainties
- Detrending Light Curves
- Decomposing Light Curves
- Photometric RM
- Virtual RM
- Seasonal Gap
- Running with Python Version
- Adjusting Prior Ranges of Parameters
- Negative Responses
- Tests
- A List of References That Used MICA
- Frequently Asked Questions
Attribution#
If you make use of this code, please cite it as:
@ARTICLE{2016ApJ...831..206L,
author = {{Li}, Y.-R. and {Wang}, J.-M. and {Bai}, J.-M.},
title = "{A Non-parametric Approach to Constrain the Transfer Function in Reverberation Mapping}",
journal = {\apj},
archivePrefix = "arXiv",
eprint = {1608.03741},
primaryClass = "astro-ph.IM",
keywords = {galaxies: active, quasars: general, methods: data analysis, methods: statistical},
year = 2016,
month = nov,
volume = 831,
eid = {206},
pages = {206},
doi = {10.3847/0004-637X/831/2/206},
adsurl = {http://adsabs.harvard.edu/abs/2016ApJ...831..206L},
adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}