Some astronomical experiments

Our interest in stellar evolution began sometime in the 8th year of our life after reading an old but very readable account by the famed Russian scientist George Gamow. It captivated us beyond words but we had to wait until the 12th year of our life when our mathematics came up to speed for a major astronomical renaissance. We spent every clear night observing stars in particular certain variables and recorded their magnitudes hoping to re-live the excitement of the astronomers of the past. The excitement hit a peak as we caught a fading R Coronae Borealis and the out-bursts of SS Cygni when it reached the range of our homemade telescope. Those were the heady days when the Hipparcos-Tycho project was in preparation and it was to be a great bonanza of astronomical data once complete. We read of the launch of the satellite and hoped that some day we could directly play with the Hipparcos data doing some trivial things for our own edification. Now years down the line the successor of Hipparcos, Gaia is in the sky and has already completed the second year of observations with the data release scheduled for next month. Gaia is of a much vaster scale than Hipparcos. It is set to survey a billion stars and that number is still just one hundredth of the number of stars in Milky Way. So at least before that happens we decided to put out the little examination of some trivial things in the Hipparcos data. When the Hipparcos data first came out the computers we possessed or had easy access in Bhārata were not powerful enough to handle the data of about 118322 stars. Today with the R language on our laptops we can quite easily deal with that. That said, we must reiterate that we are just presenting here some trivial stuff, which people have done over and over again, but we are doing it for ourselves just because there is no substitute to pratyakṣa when it comes to science.

One of the main objective of the Hipparcos project was the measurement of parallax of stars. The concept of parallax (Sanskrit: lambana) was first discovered by early ārya (among whom it was believe that it was taught by Sūrya himself to the demon Maya) and yavana astronomers like Hipparkhos. This trigonometric principle allows you to compute the distance of an astronomical object by measuring its angular shift from two positions separated by known distance against an even more distant background. It was first used to find the distance of a star (61 Cygni) other than the sun by the astronomer and mathematician Friedrich Bessel, one of the greatest intellectuals of all times.

So having downloaded the 118322 stars of the Hipparcos project we cleaned up the data to remove those stars with 0 or negative parallax. We also removed those stars that lacked the visual magnitude or B-magnitude, i.e. magnitude measured using a blue filter (with wavelength midpoint of filter being 445 nm). Thus we ended up with a total of 112823 stars to work with. Of course this still includes some stars with bad parallax measurement which result in unusual results but we are not bothered too much by that for we are mainly looking only at the bulk data and we have a great deal of reasonable measurement therein.

All parallax in the Hipparcos dataset is measured as milliarc seconds. Hence, we first we calculate distance of the stars in parsecs using formula:

d=\dfrac{1000}{p};1 parsec=3.26156 light years.

All_stars_distance

If we plot a histogram of the distance of the stars in the Hipparcos data we get a strongly right-skewed distribution with a distinct peak. The median distance is 208.7 parsecs with the peak of the distance distribution being 100-150 parsecs. The median value is ~.007 times the diameter of the Milky Way showing that large as the number of stars are Hipparcos has merely explored a very local neighborhood of the Milky Way. But the arms of our barred spiral galaxy being quite similar in general terms, and we being located midway from the center to the outer arms, we can consider our sample fairly representative for the arms. Of course some of extreme values of distance in the data are likely the result of defective parallax determination; hence we truncate the curve at a 1000 parsecs.

Once we have computed the distance of the star, given that the project has measured the visual magnitude (m) of the star in addition, we can next calculate its absolute magnitude (M). The absolute magnitude of a star is the magnitude with which it would shine if it were placed at 10 parsecs (~32.6 light years away).

M=m-5(log_{10}(d)-1); where d is parsecs

All_stars_absolute_magnitude

While the Sun blazes away in our sky its absolute magnitude is a dim 4.83, which would require us to retire to dark skies in order to see it if it were 10 parsecs away. In contrast Deneb (\alpha Cygni) would blaze away at the magnitude of about -8.4 from the same distance and would be seen in broad daylight. The plot of M is revealing in more than one way. The Sun lies at the beginning of the dim tail of the distribution considerably dimmer than the median M of 1.54 – that would be about as bright as \epsilon Canis Major appears in our sky and just a bit dimmer than the absolute magnitude of Sirius A. The distribution has a clear peak around 1 and a bit of a shoulder around 3. The bottom line is we are on dim side, in the 4th quartile of the distribution, keeping with the the yellow dwarf standing of our star.

The absolute magnitude is a measure of the luminosity*(L) of the star. Hence we can represent the same data directly as luminosity in terms of Sun units i.e. L(Sun)=1 using the formula:
L=\left(10\right)^{\frac{4.83-M}{\sqrt[5]{100}}}

All_stars_luminosity

This is obviously a similar distribution with a median luminosity around 11 Suns and peak distribution of stars with the luminosity of 13-15 Suns. The shoulder occurs at the luminosity of around 5 Suns. A big caveat for the absolute magnitude and luminosity data from Hipparcos is that it mostly measured only bright stars. Thus, the very numerous dim red dwarfs and even dimmer smoldering brown dwarfs are vastly under-represented in this data, thereby artificially moving the peak to the bright side. Just to give a feel for this the nearest star to the Sun is Proxima Centauri, which shines at a dim 11.05 magnitude while being a mere 4.25 light years away. Thus, it is unsurprising that Hipparcos does not have many of them.

The Hipparcos project also obtained the B magnitudes for the stars thus we have the B-V values which is the difference in magnitude with a blue filter and the visual magnitude. The stars with negative B-V are the blue stars and those with high B-V values are the red stars. The Sun, which is an archetypal yellow star, has a B-V value of 0.656.

All_stars_BV

This distribution is interesting in showing two prominent well-separated peaks in the middle flanked by shoulders. The higher peak is at B-V=.5, which contains the stars with a whitish yellow color, but to our eyes simply appear white. The lower peak is at B-V=1 which contains the orange stars. Between them is the valley at around B-V=.8. Thus the deep yellow stars are generally under-represented. The prominent first shoulder (almost a mini-peak) is at B-V=0 and contains the white stars. The second shoulder is at B-V=1.5-1.6 and represents the red stars. The dominance of the shoulder at B-V=0 and peak at B-V=.5 is why most stars in the sky look white to us. Here again the paucity of red dwarfs in the data has shifted the color plot in the direction of whiteness.

We can then calculate the approximate surface temperature of a star from its B-V value. While there are multiple formulae to do this we shall use the Ballesteros formula. While hardly perfect, it gives a better approximation among the simple formulae that just use B-V:
T=4600*\left(\dfrac{1}{.92\left(B-V\right)+1.7}+\dfrac{1}{.92\left(B-V\right)+.62}\right)

all_stars_Temperature

The distribution of temperatures shows 3 distinct peaks. The first and the lowest is around 3600-3700K, the second and the highest around 4600K and the 3rd is around 6400K. The Sun by this method gets T=5766K which is quite a good approximation of the typically cited T=5777K. The distribution is strongly right-skewed with a fat tail of hot stars. We can check a few other stars to see how this formula performs using the Hipparcos data with respect to commonly reported temperatures:

Star T/Formula T/Reported
Betelgeuse 3793K 3650K
Aldebaran 3737K 3910K
Sun 5766K 5777K
Sirius 10014K 9940K
Rigel 10515K 12100K
Bellatrix 14192K 22000K

The inaccuracy seems to rise with increasingly lower B-V values. Thus, the actual distribution onf the right tail is likely to be more stretched out rightwards.

Once we have the temperature and luminosity of a star we can next calculate its radius in Sun radius units using the formula:
R=\sqrt{\dfrac{L}{(T/5766)^2}}

All_stars_radius

The radius mostly corrects itself despite the issues with temperature we encounter with the above formula. The distribution is bimodal with median radius of ~3 Sun radii, again illustrating the bias towards larger stars as opposed to the tiny dwarfs in the Hipparcos survey. The first and higher peak is close to 2 Sun radii and second and lower peak is around 10 Sun radii thus separating the dwarfs from the giants.

With temperature and luminosity at hand we can also generate different Hertzsprung-Russell diagrams for the Hipparcos data. The first of these uses absolute magnitude and scales the points as a positively correlated function of the diameter. Second of these uses luminosity and does not scale the stars so as to give an an unobstructed view of the basic H-R diagram.

All_stars_HR_M_DscaledAll_stars_HR_luminosity_T

In both of these the main sequence, where majority of stars lie, comes out very clearly. The other prominent feature that comes out is a branch that emerges from the main sequence and climbs upwards between 6-5000K. This the orange-red giant branch with a prominent “red clump” which comprises of stars close to 5000K and absolute magnitude ~0-.5 which are fusing helium in their cores. This red clump population seems to be clearly common in our general galactic vicinity. The diameter-scaled plot gives allows to visualize the several groups of relatively rare giants and supergiants that lie above the main sequence and the few white dwarfs below it. Overall the H-R diagrams we have plotted here are similar to those with much larger number of stars which have just come in from Gaia. This suggests that for the Milky Way this can be considered a fairly representative H-R (barring the dim, small stars). One of the densest areas of this H-R diagram is the general area around which the Sun lies in it. Newer data from Kepler and Gaia are beginning to tell us the distribution of planets around such stars but I do not fully understand it. However, it does seem like there should be a great abundance of stars with earth-like planets and I am of the opinion contrary to some others that life should be rather common on those.

The Hipparcos data also has a large number of variable stars identified. Hence we shall next extract the variable stars from the data and plot at H-R diagram from just the variables. On extraction we get a dataset of 10312 variable stars. The H-R diagram for this dataset with stars scaled as a positively correlated function of diameter is shown below.

variables_HR_M

One thing that becomes rather apparent from this plot is the proclivity for giants as opposed to lower main-sequence stars to be variable. In particular, the red giants and supergiants are particularly enriched in intrinsic variables, as is well-known to anyone with an elementary knowledge of astronomy. Among the red giants/supergiants we have several different types of variables: 1) Mira-type long period variables, which are the so-called asymptotic branch giants, the stars that have left the main sequence and bloated up to become red giants in the later period of their lives; 2) the semi-regular variables like Betelgeuse with low amplitude pulsations; 3) irregular variables like Aldebaran.

On the upper side of the yellow-orange main-sequence we have the T Tauri variables, which are young stars often showing protoplanetary disks. Among the white and light yellow supergiants we have the famed Cepheid or \delta Cephei variables. Below them all the way from the white to lighter yellow just above the main-sequence to giants we have several similarly pulsating stars like the RR Lyrae, W Virginis and \delta Scuti variables. Further upwards on the plot among the yellow supergiants we have the RV Tauri variables. These “Cepheid-like” variables have various positively-correlated relationships between their periods and luminosity, which allow them to be used to measure distances. Interestingly, while classic Cepheids tend to occur only along the equatorial plane of the galaxy the RR Lyrae variables are common at all latitudes and in globular clusters. On the blue end near the main-sequence and giants we have the \beta Cephei and slowly pulsating blue variables.

Now we shall use the data to do a simplistic exercise of trying to get the data on Hyades and Pleiades clusters to compare them on the H-R diagram. For isolating the Hyades approximately we choose the star HIP 20484 from the cluster and take all stars in a circular 3 degree field around it from the Hipparcos data. Then we clean up the data compute all the above described values. We then plot our stars as rough star map to check if we have got it right. As one can see below the Hyades comes out suggesting that we have got the approximate field right.

Hyades_map

Next we plot the distances of the stars in our field and notice a peak around 40-52 parsecs which is where the actual Hyades members are located.

hyades_distance

We can see that Aldebaran lies much closer to us and is not physically part of the Hyades cluster. Once we have the distance of the actual Hyades stars we can isolate them as a separate data set.

Now for the Pleiades we take our central star as Alcyone (\eta Tauri) and do the same procedure as above. Upon plotting the rough star map we get the below picture showing that we are generally on the right track.

Pleiades_map

Then we make a similar distance plot to note that according to the Hipparcos data the Pleiades ~115-120 parsecs.

Pleiades_distance

This distance resulted in one of most famous controversies in modern astronomy. It was much lower than what was thought to be the real distance of the Pleiades. After much discussion the astronomers do think that the distance of 136.2 parsecs is likely the correct distance, embarrassingly pointing to some systematic error in Hipparcos data. Hopefully, the final verdict will be given by Gaia in the coming year or two. However, for our experiment let us continue with the Hipparcos data keeping in mind that it would imply a dimmer Pleiades cluster. Using the above inferred distance we extract the Pleiades members as we did for the Hyades.

With all this in place we can now can now make a combined H-R diagram of the Hyades and Pleiades which we have extracted from the Hipparcos data. The stars of the Hyades are shown in empty circles and those of the Pleiades are shown in filled circles. The circles are scaled according to the diameter of the stars.

Pleiades_Hyades_HR2

We can see right away that together they generally recapitulate the overall H-R diagram with most stars lying on the main sequence and a few moving into the red giant branch with 4 prominent red clump stars from the Hyades. As is visually apparently the Pleiades are in general bluer and hotter than the Hyades (this would be even more accentuated if the Hipparcos distance is an underestimate) with its prominent stars occupying the blue giant end of the main sequence. Of course with the Hipparcos data we do not have the dim red stars of the Pleiades. Notably the Hyades have more stars in the Sun-like region of the H-R diagram including some quite Sun-like stars. Thus, in a very general sense in the long-past days the sun could have been part of a Hyades-like cluster when it was about ~13% its current age. Of course with a more comprehensive collection of members of these cluster we could get a more complete picture.

~ by mAnasa-taraMgiNI on August 8, 2016.

 
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