cvnovar

Time series of a cataclysmic variable/nova object observed in the r-band of the ZTF survey and processed by the ALeRCE broker.ZTF Object code: ZTF18aayzpbr

datasets

Data sets, functions and scripts with examples to implement autoregressive models for irregularly observed time series. The models available in this package are the irregular autoregressive model (Eyheramendy et al.(2018) <doi:10.1093/mnras/sty2487>), the complex irregular autoregressive model (Elorrieta et al.(2019) <doi:10.1051/0004-6361/201935560>) and the bivariate irregular autoregressive model (Elorrieta et al.(2021) <doi:10.1093/mnras/stab1216>).

Elorrieta Felipe

Irregularly Observed Autoregressive Models

Ojeda Cesar

Eyheramendy Susana

Palma Wilfredo

cvnovar function

A data frame with 65 observations on the following 3 variables:<dl>
 <dt>t</dt>
<dd>heliocentric Julian Day - 2400000</dd> <dt>m</dt>
<dd>magnitude</dd> <dt>merr</dt>
<dd>measurement error standard deviations.</dd>
</dl>

Format

ZTF r-band Cataclysmic Variable/Nova — cvnovar

A data frame with 65 observations on the following 3 variables:<dl>
 <dt>t</dt>
<dd>heliocentric Julian Day - 2400000</dd>

 <dt>m</dt>
<dd>magnitude</dd>

 <dt>merr</dt>
<dd>measurement error standard deviations.</dd>


</dl>

cvnovar: ZTF r-band Cataclysmic Variable/Nova

Description

Usage

Arguments

Format

References

Examples