4️⃣ So today:
- Lohri warms your hands with tropical winter fire.
- Sankranti flies your kite under a sidereal Sun that's been drifting for 1700+ years.

Two Suns. One culture. Both timeless.

We didn't ignore science — we 𝐜𝐡𝐨𝐬𝐞 𝐦𝐞𝐦𝐨𝐫𝐲 over correction.

That's not backward.

That's 𝐚𝐧𝐜𝐢𝐞𝐧𝐭 𝐈𝐧𝐝𝐢𝐚𝐧 𝐛𝐨𝐬𝐬 𝐦𝐨𝐯𝐞. 🇮🇳✨

What blows your mind more — the drift or our ancestors' confidence? Reply below! 👇

#Precession #AncientIndia #DecoloniseTime #Uttarayan

Failing to Teach Particle Physics

As the Christmas holiday draws to a close and I begin thinking about the possibility that sooner or later, in due course, at some point in the future, in the fullness of time, all things considered, when all is said and done, in the end, I will have to start teaching again. Thinking about this is preferable to thinking about the stack of exam marking that I will have to contend with shortly.

One of the modules I am down to teach in the Spring Semester is particle physics, a subject I haven’t taught for well over a decade, so I have been looking through a box of old notes on the subject. Doing so I remembered that I had to explain neutrino oscillations, a process in which neutrinos (which have three distinct flavour states, associated with the electron, mu and tau leptons) can change flavour as they propagate. It’s quite a weird thing to spring on students who previously thought that lepton number was always conserved so I decided to start with an analogy based on more familiar physics.

A charged fermion such as an electron (or in fact anything that has a magnetic moment, which would include, e.g. the neutron)  has spin and, according to standard quantum mechanics, the component of this in any direction can  can be described in terms of two basis states, say “up” for the +z-direction and “down” for the opposite (-z) represented schematically like this:

In this example, as long as the particle is travelling through empty space, the probability of finding it with spin “up” is  50%, as is the probability of finding it in the spin “down” state, the probabilities defined by the square of the amplitudes. Once a measurement is made, however, the state collapses into a definite “up” or “down” wherein it remains until something else is done to it. In such a situation one of the coefficients goes to zero and the other is unity.

If, on the other hand, the particle  is travelling through a region where there is a magnetic field the “spin-up” and “spin-down” states can acquire different energies owing to the interaction between the magnetic moment of the particle and the magnetic field. This is important because it means the bits of the wave function describing the up and down states evolve at different rates, and this  has measurable consequences: measurements made at different positions yield different probabilities of finding the spin pointing in different directions. In effect, the spin vector of the  particle performs  a sort of oscillation, similar to the classical phenomenon called  precession.

The mathematical description of neutrino oscillations is very similar to this, except it’s not the spin part of the wavefunction being affected by an external field that breaks the symmetry between “up” and “down”. Instead the flavour part of the wavefunction is “precessing” because the flavour states don’t coincide with the eigenstates of the Hamiltonian that describes the neutrinoes. For this to happen, however, different neutrino types must have intrinsically different energies  (which, in turn, means that the neutrinos must have different masses), in quite  a similar way similar to the spin-precession example.

Although this isn’t a perfect analogy I thought it was a good way of getting across the basic idea. Unfortunately, however, when I subsequently asked an examination question about neutrino oscillations I got a significant number of answers that said “neutrino oscillations happen when a neutrino travels through a magnetic field….”.

Sigh.

Neutrinos have no magnetic moment so don’t interact with  magnetic fields, you see…

Anyhow, I’m sure there’s more than one reader out there who has had a similar experience with an analogy that wasn’t perhaps as instructive as hoped. Feel free to share through the comments box…

#neutrinoOscillations #precession #QuantumMechanics #spin

Neutrino oscillation - Wikipedia

It is indisputable that #humans caused much of the #ClimateChange over the past few centuries. But still, I am curious about the effect, if any, of the Earth's gyroscopic #precession on the climate.
The Earth's Free Core Nutation (#FCN) motion is essentially a slight misalignment between the mantle's spin axis and the fluid core spin axis (I greatly exaggerated it here for ease of visualization). The camera starts in an inertial reference frame and slowly moves to the mantle's frame. As seen from the mantle the core seems to wobble!
This is all caused by the Earth's slow #precession. The fluid core lags a bit resulting in a small misalignment.
#Earth #Core #Science #Geophysics #Nutation
>“To bring order into this jangled sphere man must find its centre.”
— Marshall McLuhan
Verbi-Voco-Visual Explorations (Ann Arbor, MI: Something Else Press, 1967).
#presentreading #history #medialiteracy #mcluhan #eastvswest #northvsouth #precession #pushmepullyou

I use this chart as template for when I want to see a particular proxy for #paleoclimate in the bigger context of Earth's #climate factors. Because I add many and varying #proxy records to this template, they need to fit either y-axes. So all records get re-scaled. The individual formula is given in brackets () in the legend, eg., (*10000, /20, +2).
The x-axis is kiloyear ky before present BP (BP is 1950), data resolution is in centuries.

The background of the chart is always the #Milankovic cycles: #Eccentricity as black area, #obliquity / tilt in pink and climatic #precession favoring North in gold and favoring South in darker rosé.
Standard curves are CO2 (gray), CH4 (dark magenta), and sealevel (light blue). CO2 and CH4 are at home on the left y-axis, by the way. Virtually all other proxies end up to be at home on the right hand y-axis.

When I add a proxy from the Southern hemisphere, I usually choose a red-ish colour, and gold-ish for proxies from the NH. Exception to the rule is the tropical South American glacier index "TEG" in white.

Sources for the standard items in this chart are:
- #Milankovic cycles from Laskar 2004 / 2010 http://vo.imcce.fr/insola/earth/online/earth/online/index.php
- #SeaLevel (light blue) from Miller 2020 https://www.science.org/doi/full/10.1126/sciadv.aaz1346
- #CH4 #methane (dark magenta) from Loulergue 2008 https://www.ncei.noaa.gov/access/paleo-search/study/6093
- #CO2 (gray) from M. Yamamoto 2020 https://www.ncei.noaa.gov/access/paleo-search/study/34052

Non-standard proxies in this version for the #tegtmeier thread on modern humans :
- #d18O (magenta) for sea surface temperature in the South Atlantic from Starr 2020 (published January 2021) https://www.nature.com/articles/s41586-020-03094-7
- #Glacier index TEG (white) from Rodbell 2020 https://www.nature.com/articles/s41586-022-04873-0
- ºC in subtropical Africa from Chevalier 2021 https://pubs.geoscienceworld.org/gsa/geology/article/49/1/71/590736/Temperature-change-in-subtropical-southeastern

I use #LibreOffice #Calc.

#TegtmeierBasics

Computation of various insolation quantities for Earth