<p>I don't know of a source for the CSV data directly but if you are OK with a little bit of Python, this can be done with the NASA <a href="https://exoplanetarchive.ipac.caltech.edu/" rel="noreferrer">Exoplanet Archive</a>. Looking at one famous example (HD 189733b), if you do a search for this object on the front page it should bring you to a page of detailed information and links to datasets. Expanding the 'Ancillary Information' section will show the links for the data (this <a href="https://exoplanetarchive.ipac.caltech.edu/overview/HD%20189733%20b#planet_HD-189733-b_collapsible" rel="noreferrer">link</a> should be equivalent)</p>
<p>The data files are in IPAC table format but this is easily readable by AstroPy's <code>Table</code> class.  A short example of this is below:</p>
<pre><code>from astropy.table import Table
import matplotlib.pyplot as plt

# Read photometric table
phot_table = Table.read(&quot;https://exoplanetarchive.ipac.caltech.edu/data/ExoData/0098/0098505/data/UID_0098505_PLC_025.tbl&quot;, format=&quot;ipac&quot;)

# Subtract off integer part of first JD to make plotting easier
t0 = int(phot_table['HJD'][0])

plt.figure()
plt.errorbar(phot_table['HJD']-t0, phot_table['Relative_Flux'], yerr=phot_table['Relative_Flux_Uncertainty'], color='r', fmt=&quot;+&quot;, capsize=3)
plt.minorticks_on()
plt.xlabel('HJD-{:.1f} [days]'.format(t0))
plt.ylabel(&quot;Relative Flux&quot;) 
plt.title(&quot;HD 189733b Transit Light Curve&quot;)
plt.savefig(&quot;transit_lc.png&quot;)

# Read radial velocity data
rv_table = Table.read(&quot;https://exoplanetarchive.ipac.caltech.edu/data/ExoData/0098/0098505/data/UID_0098505_RVC_001.tbl&quot;, format=&quot;ipac&quot;)
t0 = int(rv_table['JD'][0])

plt.clf()
plt.errorbar(rv_table['JD']-t0, rv_table['Radial_Velocity'], yerr=rv_table['Radial_Velocity_Uncertainty'], color='r', fmt='+')
# Zoom in on one of the nights where Rossiter_McLaughlin effect was being measured
plt.xlim(395.45, 395.70)
plt.minorticks_on()
plt.xlabel('JD-{:.1f} [days]'.format(t0))
plt.ylabel('Radial Velocity [m/s]')
plt.title(&quot;HD 189733b Radial Velocity Curve&quot;)
plt.savefig(&quot;transit_rv.png&quot;)

# Example export to CSV format
rv_table.write(&quot;transit_RV.csv&quot;, format='csv')
</code></pre>
<p><a href="https://i.sstatic.net/Mxk52.png" rel="noreferrer"><img src="https://i.sstatic.net/Mxk52.png" alt="Lightcurve of HD 189733b (from Winn et al. 2007)" /></a>
<a href="https://i.sstatic.net/qrG4U.png" rel="noreferrer"><img src="https://i.sstatic.net/qrG4U.png" alt="Radial velocity curve of HD189733b (from Triaud et al. 2009)" /></a></p>
<p>The top part of the exported CSV file looks like:</p>
<pre><code>JD,Radial_Velocity,Radial_Velocity_Uncertainty
2453946.612661,-2167.93,0.89
2453946.620219,-2155.63,0.85
2453946.627291,-2142.88,0.78
</code></pre>
<p>if this is easier for further analysis.</p>

CC BY-SA 4.0
2021-06-18T11:43:58.140Z
Amazing job! Thansk so much for your effort!
B--rian
CC BY-SA 4.0
2021-06-18T16:40:24.783Z
No problem, I used to work on these in an earlier stage of my career ([WASP-16b](https://exoplanetarchive.ipac.caltech.edu/overview/WASP%2016%20b#planet_WASP-16-b_collapsible) is "my" exoplanet...); hopefully it's helpful to the OP
astrosnapper
CC BY-SA 4.0
2021-06-18T19:29:39.150Z
I don't think it's appropriate for me to suggest research topics to you, particularly if it's part of a formal qualification (if this was for general background information or self-learning it might be different). This is something that needs to be agreed after consultation with your supervisor or other faculty at your institution if there are issues with your relationship with your supervisor.
astrosnapper
CC BY-SA 4.0
2021-06-21T16:30:44.423Z
Possible but very unlikely - I certainly wouldn't bet a dissertation on it... Those archives are meant as repositories of the final published details of the planet and star parameters so the data has been well looked at by the original authors. While it may in theory be possible to find e.g. a long-term trend in a RV curve of a published planet, indicating a longer period planet, the RV team likely knows about it too and are getting extra data. Could also be new transits in an existing lc but again not very likely. Need to look at lots of data in new ways e.g. PlanetHunters-TESS to find a few.
astrosnapper
CC BY-SA 4.0
2021-06-17T17:09:01.827Z
2021-06-17T17:09:01.827Z
astrosnapper
<p>Can someone tell me how I can find the star brightness data to study exoplanet using transit method? The file should be in comma separated value (CSV) format or any other formats that can be latter converted to that format.</p>
<p>The following sample data shows the star brightness along with time. By using this data we can plot the transit curve. I want such over of data for actual star:</p>
<p><a href="https://i.sstatic.net/pVKdS.png" rel="nofollow noreferrer"><img src="https://i.sstatic.net/pVKdS.png" alt="![Table](https://i.sstatic.net/O8SxG.jpg)" /></a></p>

CC BY-SA 4.0
2021-06-16T08:23:07.483Z
Welcome to astronomy SE! As you probably know from [ask], it would be good if you shared what research you did so far. In addition to that, the current formulation sounds rather demanding and could be put in friendlier words, I guess. I am happy to retract my down- and/or my close-vote if you edit your question a bit.
B--rian
CC BY-SA 4.0
2021-06-16T08:26:08.097Z
Concering your question: I am sure you are aware of https://exoplanetarchive.ipac.caltech.edu/
B--rian
CC BY-SA 4.0
2021-06-16T14:01:53.030Z
@B--rian Research in this particular case can't be quite done easily. Do you want him to add "I did some googling"? Because the research can't be quite explained here like that: "First, I googled 'exoplanet archive'. Then I tried with 'exoplanets data'..."
User123
CC BY-SA 4.0
2021-06-16T15:35:01.747Z
@B--rian Actually I'm in my final year of M.Sc. and wanted to do my dissertation on exoplanets. I know most of all the theory but the thing is I can't find the data. I know about NASA Exoplanet Archive, but don't know how to use it. What type of data I need is that the brightness of host star vs time. So I can use the data to create a python code and make transit curve. And same thing for Radial velocity.
Priyash Mistry
CC BY-SA 4.0
2021-06-16T16:33:53.373Z
Are you aware of http://simbad.u-strasbg.fr/simbad/ ?
All these comments show though, that your question shows quite a lack of explaining your question and your own research on the question - and more important: make clear what you really need
planetmaker
CC BY-SA 4.0
2021-06-17T09:04:48.940Z
@User123: Priyash's comment gave me my answer, I was asking about the background of the question. Yes, it could have been indeed search-engine gymnastics, or scientific papers the user studied. I retracted my close-vote, by for similar reasons as planetmaker I stay with my downvote for now.
B--rian
CC BY-SA 4.0
2021-06-17T10:50:46.597Z
I think we know what a time series looks like. But... do you hope to find the transit data in the brightness data and just want a data set? Do you want raw data? Pre-processed? Final data? What is your intention to do with that? Is your intention to do a survey? I don't think the table really clarifies what you need and what is your goal (as that might implicitly tell what you need)
planetmaker
CC BY-SA 4.0
2021-06-17T11:36:51.850Z
For the brightest apparent host stars you can obtain a data series even yourself with amateur equipment. With a 20cm telescope and even a reasonable camera you can get a light curve for those stars to analyse. It's a nice practical student exercise on the topic.
planetmaker
CC BY-SA 4.0
2021-06-17T14:08:24.227Z
@planetmaker I want the final data. And using this data I want to do a survey of the different stars. This is the most I can tell you.
Priyash Mistry
CC BY-SA 4.0
2021-06-18T11:48:30.610Z
Thanks for your edit, I also suggest some further improvements, hope you like it. PS: I also upvoted your question.
B--rian
<exoplanet><planetary-transits><radial-velocity>
Star brightness data to study exoplanets with the transit method?
Priyash Mistry
# Star brightness data to study exoplanets with the transit method?

(Asked by: username_0 on 2021-06-16)

Can someone tell me how I can find the star brightness data to study exoplanet using transit method? The file should be in comma separated value (CSV) format or any other formats that can be latter converted to that format.

The following sample data shows the star brightness along with time. By using this data we can plot the transit curve. I want such over of data for actual star:

[![![Table](https://i.sstatic.net/O8SxG.jpg)](https://i.sstatic.net/pVKdS.png)](https://i.sstatic.net/pVKdS.png)

**Tags:** exoplanet, planetary-transits, radial-velocity

> **Comments:**
> **username_1**: Welcome to astronomy SE! As you probably know from [ask], it would be good if you shared what research you did so far. In addition to that, the current formulation sounds rather demanding and could be put in friendlier words, I guess. I am happy to retract my down- and/or my close-vote if you edit your question a bit.  
> **username_1**: Concering your question: I am sure you are aware of https://exoplanetarchive.ipac.caltech.edu/  
> **username_2**: @username_1 Research in this particular case can't be quite done easily. Do you want him to add "I did some googling"? Because the research can't be quite explained here like that: "First, I googled 'exoplanet archive'. Then I tried with 'exoplanets data'..."  
> **username_0**: @username_1 Actually I'm in my final year of M.Sc. and wanted to do my dissertation on exoplanets. I know most of all the theory but the thing is I can't find the data. I know about NASA Exoplanet Archive, but don't know how to use it. What type of data I need is that the brightness of host star vs time. So I can use the data to create a python code and make transit curve. And same thing for Radial velocity.  
> **username_3**: Are you aware of http://simbad.u-strasbg.fr/simbad/ ? All these comments show though, that your question shows quite a lack of explaining your question and your own research on the question - and more important: make clear what you really need  
> **username_1**: @username_2: Priyash's comment gave me my answer, I was asking about the background of the question. Yes, it could have been indeed search-engine gymnastics, or scientific papers the user studied. I retracted my close-vote, by for similar reasons as username_3 I stay with my downvote for now.  
> **username_3**: I think we know what a time series looks like. But... do you hope to find the transit data in the brightness data and just want a data set? Do you want raw data? Pre-processed? Final data? What is your intention to do with that? Is your intention to do a survey? I don't think the table really clarifies what you need and what is your goal (as that might implicitly tell what you need)  
> **username_3**: For the brightest apparent host stars you can obtain a data series even yourself with amateur equipment. With a 20cm telescope and even a reasonable camera you can get a light curve for those stars to analyse. It's a nice practical student exercise on the topic.  
> **username_0**: @username_3 I want the final data. And using this data I want to do a survey of the different stars. This is the most I can tell you.  
> **username_1**: Thanks for your edit, I also suggest some further improvements, hope you like it. PS: I also upvoted your question.  

---

## 1 answers

### Answer by username_4 on 2021-06-17. Score: 6 | Accepted answer

I don't know of a source for the CSV data directly but if you are OK with a little bit of Python, this can be done with the NASA Exoplanet Archive. Looking at one famous example (HD 189733b), if you do a search for this object on the front page it should bring you to a page of detailed information and links to datasets. Expanding the 'Ancillary Information' section will show the links for the data (this link should be equivalent)
The data files are in IPAC table format but this is easily readable by AstroPy's Table class.  A short example of this is below:
from astropy.table import Table
import matplotlib.pyplot as plt

# Read photometric table
phot_table = Table.read("https://exoplanetarchive.ipac.caltech.edu/data/ExoData/0098/0098505/data/UID_0098505_PLC_025.tbl", format="ipac")

# Subtract off integer part of first JD to make plotting easier
t0 = int(phot_table['HJD'][0])

plt.figure()
plt.errorbar(phot_table['HJD']-t0, phot_table['Relative_Flux'], yerr=phot_table['Relative_Flux_Uncertainty'], color='r', fmt="+", capsize=3)
plt.minorticks_on()
plt.xlabel('HJD-{:.1f} [days]'.format(t0))
plt.ylabel("Relative Flux") 
plt.title("HD 189733b Transit Light Curve")
plt.savefig("transit_lc.png")

# Read radial velocity data
rv_table = Table.read("https://exoplanetarchive.ipac.caltech.edu/data/ExoData/0098/0098505/data/UID_0098505_RVC_001.tbl", format="ipac")
t0 = int(rv_table['JD'][0])

plt.clf()
plt.errorbar(rv_table['JD']-t0, rv_table['Radial_Velocity'], yerr=rv_table['Radial_Velocity_Uncertainty'], color='r', fmt='+')
# Zoom in on one of the nights where Rossiter_McLaughlin effect was being measured
plt.xlim(395.45, 395.70)
plt.minorticks_on()
plt.xlabel('JD-{:.1f} [days]'.format(t0))
plt.ylabel('Radial Velocity [m/s]')
plt.title("HD 189733b Radial Velocity Curve")
plt.savefig("transit_rv.png")

# Example export to CSV format
rv_table.write("transit_RV.csv", format='csv')



The top part of the exported CSV file looks like:
JD,Radial_Velocity,Radial_Velocity_Uncertainty
2453946.612661,-2167.93,0.89
2453946.620219,-2155.63,0.85
2453946.627291,-2142.88,0.78

if this is easier for further analysis.

> **Comments:**
> **username_1**: Amazing job! Thansk so much for your effort!  
> **username_4**: No problem, I used to work on these in an earlier stage of my career ([WASP-16b](https://exoplanetarchive.ipac.caltech.edu/overview/WASP%2016%20b#planet_WASP-16-b_collapsible) is "my" exoplanet...); hopefully it's helpful to the OP  
> **username_4**: I don't think it's appropriate for me to suggest research topics to you, particularly if it's part of a formal qualification (if this was for general background information or self-learning it might be different). This is something that needs to be agreed after consultation with your supervisor or other faculty at your institution if there are issues with your relationship with your supervisor.  
> **username_4**: Possible but very unlikely - I certainly wouldn't bet a dissertation on it... Those archives are meant as repositories of the final published details of the planet and star parameters so the data has been well looked at by the original authors. While it may in theory be possible to find e.g. a long-term trend in a RV curve of a published planet, indicating a longer period planet, the RV team likely knows about it too and are getting extra data. Could also be new transits in an existing lc but again not very likely. Need to look at lots of data in new ways e.g. PlanetHunters-TESS to find a few.  

---

