Data and code used in Figures 1, 2, 3, and 5 of the paper "Detection of disk-jet co-precession in a tidal disruption event"
Authors/Creators
Description
Data and Code Description
The data and codes used in the paper "Detection of disk-jet co-precession in a tidal disruption event" are organized as follows:
Data Files in Figure_datas.tar:
All data files used to produce the plots are provided in .txt format, with units specified in each header.
------------------------------------------------------------------------------------
Folder: Figure1_lc_XRUO
Description: Contains the light curve data used in Figure 1.
Files:
[Telescope_name]_lightcurve.txt: Light curve data from each telescope.
------------------------------------------------------------------------------------
Folder: Figure2_Lomb_Scargle_ccf_fold
Description: Contains the Lomb-Scargle periodogram (LSP), cross-correlation function (CCF), and folded light curve data used in Figure 2.
Files:
LSP.txt: Data used to produce Figure 2A.
CCF_data.txt and CCF_hist.txt: Data used to produce Figure 2B.
Xray_phase_data.txt and Radio_phase_data.txt: Data used to produce Figure 2C.
Additional Files:
Monte Carlo simulation results in .npy format.
data_lc_NEW_gti.txt: X-ray light curve for NICER data in GTI format, used to generate the LSP.
all_radio_lc.txt: Combined radio light curve from all four telescopes.
------------------------------------------------------------------------------------
Folder: Figure4_Tin_alpha_nupFp
Description: Contains the inner disk temperature, alpha, and VLA nu_p F_p data used in Figure 3.
Files:
[Telescope_name]_lightcurve.txt: Light curve data from each telescope.
[Telescope_name]_Tin.txt: Inner disk temperature from the diskbb model for each telescope.
[Telescope_name]_alpha.txt: Alpha values from each telescope.
F_p_data.txt and nu_p_data.txt: VLA F_p and nu_p values.
Please note that in the final published version of our manuscript, the sequence of Figures 3 and 4 was swapped. However, this change is not reflected in the attached data files. Therefore, please be aware that the folder named 'Figure4_Tin_alpha_nupFp' corresponds to the data for Figure 3 in the paper.
------------------------------------------------------------------------------------
Folder: Figure5_sketch_lcmodel
Description: Contains the X-ray and radio light curve data used in Figure 5B.
Files:
Xray_Lumi_100eV_2000eV.txt and Radio_Lumi.txt: X-ray and radio luminosity data.
Xray_model.txt and Radio_model.txt: X-ray and radio model data.
------------------------------------------------------------------------------------
File: xray_observation_log.txt
Description: The X-ray data log
------------------------------------------------------------------------------------
File: radio_observation_log.txt
Description: The radio data log
------------------------------------------------------------------------------------
Codes:
LSP_code.ipynb: Code used to compute the Lomb-Scargle periodogram (LSP), including white noise and significance tests.
CCF_code.ipynb: Code used to perform the cross-correlation function (CCF) analysis, including significance tests.
The Python script PYCCF.py, developed by Mouyuan Sun et al. (see [http://ascl.net/1805.032]), is required to run CCF_code.ipynb and can be downloaded from https://bitbucket.org/cgrier/python_ccf_code/downloads/.
Files
Files
(5.2 MB)
| Name | Size | |
|---|---|---|
|
md5:140007bd8ae3474c3862732e11cd735f
|
5.2 MB | Download |