Acycle
Acycle: Time-series analysis software for research and education
Install / Use
/learn @mingsongli/AcycleREADME
Acycle is a time-series analysis software for research and education
Website: acycle.org
Highlights
- A fully implemented graphical user interface (GUI) facilitates operator use
- Acycle runs either in the MATLAB environment or as a stand-alone application on Mac and Windows
Please cite
- Mingsong Li, Linda A. Hinnov, Lee R. Kump, 2019. Acycle: Time-series analysis software for paleoclimate research and education. Computers & Geosciences. 127: 12-22. https://doi.org/10.1016/j.cageo.2019.02.011.
Wiki: Table of Content
- Getting Started <br>
- Read More
What they say
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Dr. James G. Ogg (Purdue University, USA):
"His Acycle software will become the standard tool for time-scale applications by all international workers."<br>
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Dr. J. Fred Read (Virginia Tech, USA):
"It is truly an amazing contribution to the geosciences community. As someone who has spent much of the last 50 years trying to understand cyclic carbonates on shallow platforms, and having been involved with my students in some of the early work on stratigraphic modelling of the effects of Milankovitch forcing of carbonate platform stratigraphy, I was blown away by the power of the Acycle software. ... You should all feel very proud of this contribution. It opens up much needed access to these powerful tools for a wide audience in the sedimentary geology and paleoclimate community. Thanks again for all your efforts. A really marvellous job."<br>
Has been used in
- Li, M., Hinnov, L.A., Huang, C., Ogg, J.G., 2018. Nature Commun. https://doi.org/10.1038/s41467-018-03454-y
- Shi, J., Jin, Z., Liu, Q., Zhang, R., Huang, Z., 2019. Glob. Planet. Change 174, 115-126. https://doi.org/10.1016/j.gloplacha.2019.01.001
- Kochhann, M.V.L., Cagliari, J., Kochhann, K.G.D., Franco, D.R., 2020. Geochemistry, Geophysics, Geosystems, https://doi.org/10.1029/2019GC008676
- Read More
Download
<a href="https://www.dropbox.com/sh/t53vjs539gmixnm/AAC0BqTR0U5xghKwuVc1Iwbma?dl=0"> <img src="https://github.com/mingsongli/acycleFig/blob/master/dropbox-logo.png" alt="Dropbox" title="Download Acycle in Dropbox" width="88" height="88"> </a> <a href="https://1drv.ms/u/s!AuOnvtrY8aRzhG17NCoXG14eOVIS"> <img src="https://github.com/mingsongli/acycleFig/blob/master/microsoft-onedrive.png" alt="OneDrive" title="Download Acycle in OneDrive" width="88" height="88"> </a> <a href="https://pan.baidu.com/s/1D2iISOOhoYCUvMg9csKKTg"> <img src="https://github.com/mingsongli/acycleFig/blob/master/Baidu-logo.png" alt="Baidu Cloud" title="Download Acycle in Baidu Cloud" width="88" height="88"> </a> <a href="https://github.com/mingsongli/acycle/archive/master.zip"> <img src="https://github.com/mingsongli/acycleFig/blob/master/github-icon-for-resume-14.jpg" alt="GitHub" title="Download Acycle in GitHub" width="88" height="88"> </a>Contact
<a href="http://faculty.pku.edu.cn/li/en"> <img src="https://github.com/mingsongli/acycleFig/blob/master/WechatIMG17.jpeg" alt="http://faculty.pku.edu.cn/li/en" title="Mingsong Li homepage" width="100" height="100"> </a> <br> Mingsong Li, Peking University. Oct. 16, 2023 <br> E-mail: <i> msli {at} pku.edu.cn; limingsonglms {at} gmail.com </i> <br><br>Website: https://acycle.org/
<a href="https://scholar.google.com/citations?user=NYUXDW0AAAAJ&hl=en&inst=4855597776033322861"> <img src="https://github.com/mingsongli/acycleFig/blob/master/google-scholar-icon-1.jpg" alt="Google Scholar" title="Google Scholar homepage" width="48" height="48"> </a> <a href="https://www.researchgate.net/profile/Mingsong_Li"> <img src="https://github.com/mingsongli/acycleFig/blob/master/RG.jpeg" alt="ResearchGate" title="Mingsong Li ResearchGate homepage" width="48" height="48"> </a> <a href="https://www.linkedin.com/in/mingsongli/"> <img src="https://github.com/mingsongli/acycleFig/blob/master/LinkedIn-icon.png" alt="linkedin" title="Mingsong Li linkedin" width="48" height="48"> </a> <a href="https://github.com/mingsongli/"> <img src="https://github.com/mingsongli/acycleFig/blob/master/github-icon-for-resume-14.jpg" alt="GitHub" title="Mingsong Li GitHub homepage" width="48" height="48"> </a> <a href="https://www.mingsongli.com/acycle"> <img src="https://github.com/mingsongli/acycleFig/blob/master/homepage.png" alt="Mingsong Li" title="Acycle homepage" width="48" height="48"> </a> <a href="https://github.com/mingsongli/acycle/wiki"> <img src="https://github.com/mingsongli/acycleFig/blob/master/wiki-ch.jpg" alt="wiki" title="Acycle Wiki" width="48" height="48"> </a><br><br>
<b>
Please give it a " ⭐️ Star" if you like this software 😁 🌹. (top right corner of this page)
Abstract
- Acycle is a comprehensive, but "user-friendly" software package for analysis of time-series designed for (but not limited to) climate research and education.
- Acycle runs either in the MATLAB environment or as a stand-alone application on Mac and Windows.
- It is an open-source package and is available free of charge.
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Acycle provides data preparation tools, curve fitting, detrending procedures with multiple options available to track or remove secular trends, and integrates various power spectral analysis approaches for detection and tracking of periodic signals.
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Acycle also provides a toolbox that evaluates astronomical signals in climate series and estimates the most likely sedimentation rate by maximizing the correlation coefficient between power spectra of an astronomical solution and a paleoclimate series.
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Many of the functions are specific to paleoclimatology and cyclostratigraphy and are not found in standard, statistical packages.
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Acycle Graphical User Interface (GUI)

Acycle menu

Acycle insolation toolbox

Mean insolation map from March 21 to Sept. 23 for the past 100 kyr (1-100) at 50-80°N using the Laskar et al. (2004) solutions. The calculate uses a solar constant of 1365 w/m^2.

Evolutionary FFT of the astronomical solution.

2π multi-taper method power spectrum of the gamma ray series is shown with 20% median-smoothed spectrum, background AR(1) model, and 90%, 95%, 99%, and 99.9% confidence levels.

Examples #1 Curve fitting | detrending | smoothing

Examples #2 Power spectral analysis

Examples #3 Evolutionary power spectral analysis and Wavelet analysis

Examples #4 COCO of sedimentation rate evaluation

Examples #5 eCOCO of sedimentation rate evaluation

Examples #6 Filtering

Examples #7 Tuning

Examples #8 DYNOT sedimentary noise model

Examples #9 Smoothed bootstrap

Examples #10 Coherence and phase

Examples #11 Plot Pro

Examples #12 Image profile
