[AstroPy] time-series tools in Python

[gonghang.naoc]

Thank you. Good idea.
Hang

On Sun, Mar 6, 2016 at 3:12 AM, Matteo <matteo at matteobachetti.it> wrote:

> Hi Hang,
>
> If you just mean orbital (regular) gaps,  and you're looking for
> short-term variability, MaLTPyNT should work.
>
> Otherwise L-S, that you have used previously. Take also a look at CARMA,
> it's very powerful for long - term variability.
>
> Cheers,
>
> Matteo
>
>
> Matteo.
>
> On 15:53, Sat, Mar 5, 2016 Brigitta Sipocz <sic at elte.hu> wrote:
>
>> Hi Hang,
>>
>> The "Python users in astronomy" facebook group [0] may be a better place
>> to ask these kind of general questions as there may be more people reading
>> and answering it there.
>>
>> The answer may depend on what kind of periodic signals you are looking
>> for. I have more experience with the following two options below, but there
>> are several more approaches, too e.g. using wavelets, or gaussian process,
>> etc.
>>
>> One of the fastest/simplest method would be to run Lomb-Scargle [1], but
>> it has some serious limitations if your signal is far from being
>> sinusoidal, or you are going after quasi periodicity with changing signal
>> shape, etc. There are quite a few python implementation, e.g in scipy or
>> gatspy.
>> Another method to search for a period is to use the autocorrelation
>> function. Since your data is unevenly sampled you should use a *discrete
>> correlation function *instead. Python implementations can be found in
>> the time_series module of the astroML package.
>>  Chapter 10 in the book of Statistics, Data Mining, and Machine Learning
>> in Astronomy by Ivezić et al, is also an excellent guide on the subject.
>>
>> Hope it helped.
>>
>> Cheers,
>>  Brigitta
>>
>>
>> [0] - https://www.facebook.com/groups/astropython/
>> [1] - https://jakevdp.github.io/blog/2015/06/13/lomb-scargle-in-python/
>>
>>
>> On 5 March 2016 at 14:20, gonghang.naoc <ghang.naoc at gmail.com> wrote:
>>
>>> Hi all,
>>> This may not be a good question posted here, but possibly there should
>>> be pythoners who work in this field.
>>> I wonder anybody knows an algorithm for the detection of periodic
>>> signals in gapped data?
>>> I searched ADS, but it seems most of the data people deal with are
>>> evenly sampled.
>>>
>>> Thank you.
>>> Regards,
>>> Hang
>>>
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