Measuring data with smartphone apps
From Google: Science Journal transforms your device into a pocket-size science tool that encourages students to explore their world. As they conduct eye-opening experiments, they’ll record observations and make new, exciting discoveries.
Science Journal With Google: Intro and website
Science Journal by Google (Android app)
Science Journal by Google. iOS (Apple) app
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On Physics Central Tamela Maciel writes:
That smartphone you carry around in your pocket all day is a pretty versatile lab assistant. It is packed with internal sensors that measure everything from acceleration to sound volume to magnetic field strength. But I’ll wager most people don’t realize what their phones can actually do. Apps like SensorLog (iOS) or AndroSensor (Android) display and record raw data from the phone’s movement, any background noises, and even the number of satellites in the neighborhood. Watching this data stream across my screen, I’m reminded just how powerful a computer my phone really is. Wrapped into one, the smartphone is an accelerometer, compass, microphone, magnetometer, photon detector, and a gyroscope. Many phones can even measure things like temperature and air pressure.
http://physicsbuzz.physicscentral.com/2015/01/your-smartphone-can-do-physics.html
Apps
Physics Toolbox Sensor Suite (Google Android)
Physics Toolbox Sensor Suite (Apple iOS)

Useful for STEM education, academia, and industry, this app uses device sensor inputs to collect, record, and export data in comma separated value (csv) format through a shareable .csv file. Data can be plotted against elapsed time on a graph or displayed digitally. Users can export the data for further analysis in a spreadsheet or plotting tool. See http://www.vieyrasoftware.net for a variety of usage ideas
SENSORS
(1) G-Force Meter – ratio of Fn/Fg (x, y, z and/or total)
(2) Linear Accelerometer – acceleration (x, y, and/or z)
(3) Gyroscope – radial velocity (x, y, and/or z)
(4) Barometer – atmospheric pressure
(5) Roller Coaster – G-Force Meter, Linear Accelerometer, Gyroscope, and Barometer
(6) Hygrometer – relative humidity
(7) Thermometer – temperature
(8) Proximeter – periodic motion and timer (timer and pendulum modes)
(9) Ruler – distance between two points
(10) Magnetometer – magnetic field intensity (x, y, z and/or total)
(11) Compass – magnetic field direction and bubble level
(12) GPS – latitude, longitude, altitude, speed, direction, number of satellites
(13) Inclinometer – azimuth, roll, pitch
(14) Light Meter – light intensity
(15) Sound Meter – sound intensity
(16) Tone Detector – frequency and musical tone
(17) Oscilloscope – wave shape and relative amplitude
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PDF Labs to use with smartphone apps
https://mobilescience.wikispaces.com/Labs
| EnglishIntroduction | EspañolIntroducción |
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https://mobilescience.wikispaces.com/Labs
Simple Harmonic Motion, and measuring Period
Smartphone Physics in the Park
Here’s a simple physics experiment you can do at your local park.
By swinging on a swing and collecting a bit of data, you can measure the length of the swing – without ever pulling out a ruler.
1. To get started, download the free SPARKvue app (or another data logger app like SensorLog or AndroSensor). Open it up and have a play.
By clicking on the measurement you want to track and then clicking on ‘Show’, you will see an graph window open with a green play button in the corner.
Click the play button and the phone will start tracking acceleration over time.
To stop recording, click the play button again.
Save your data using the share icon above the graph.
2. Find a swing.
3. Fix your phone to the swing chain with tape – or hold it really still against your chest in portrait orientation with the screen facing your body.
Since I was a bit lazy, I opted for the latter option but this makes the final data a bit messier with all the inevitable extra movement.
You want portrait orientation in order to measure the acceleration along the direction of the swing chains.
This will tell us how the centripetal acceleration from the tension in the chains changes as you swing.
4. Start swinging and recording the Y-axis acceleration, without moving your legs or twisting your body. Collect data for about 20 seconds.
5. Stop recording and have a look at your lovely sinusoidal graph.
You could try to do the next step directly from this graph.
I wanted a bigger plot, so I saved the raw data and copied it into Excel.
Here are the first 20 seconds of my swing.
Plotting the centripetal (Y-axis) acceleration against time.
You can immediately see the sine wave pattern of the swing,
and the fact that the height of the peaks is decreasing over time.
This is because all pendulums have a bit of friction and gradually come to a halt.
Keep in mind that this plot shows the change in acceleration, not velocity or position.
![]() |
| Acceleration of a swing, as measured along the chain of a swing. Data collected with SPARKvue and graphed in Excel. Credit: author, Tamela Maciel |
6. Measure the period of the swing from the graph.
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| Direction of total velocity and acceleration for a simple pendulum. Credit: Ruryk via Wikimedia Commons |
To make sense of the peaks and troughs:
think about the point mid-swing when your speed is highest.
This is when you’re closest to the ground, zooming through the swing’s resting point.
It is at this point that the force or tension along the swing chain is highest, corresponding to a maximum peak on the graph.
The minimum peaks correspond to when you are at the highest point in the swing,
and you briefly come to a stop before zooming back down the other way.
Check out The Physics Classroom site for some handy diagrams of pendulum acceleration parallel and perpendicular to the string.
Once we know what the peaks represent,
we can see that the time between two peaks is half a cycle (period).
Therefore the time between every other peak is one period.
For slightly more accuracy, I counted out the time between 5 periods (shown on the graph)
and then divided by five to get an average period of 2.65 seconds per swing.
A simple pendulum has a period that depends only on its length, l,
and the constant acceleration due to gravity, g:
I measured T = 2.65 s and know that g = 9.8 m/s/s,
so I can solve for l, the length of the swing.
I get l = 1.74 meters or 5.7 feet.
This is a reasonable value, based on my local swing set, but of course I could always double check with a ruler.
Now a few caveats: my swing and my body are not a simple pendulum, which assumes a point mass on the end of a weightless string.
I have legs and arms that stick out away from my center of mass, and the chains of the swing definitely do have mass.
So this simple period equation is not quite correct for the swing (instead I should think about the physics of the physical pendulum).
But as a first approximation, the period equation gives a pretty reasonable answer.
http://physicsbuzz.physicscentral.com/2015/01/your-smartphone-can-do-physics.html
By the way , here are comments on the above graph:
Claim: “Your graph is wrong. You write at the peaks, where the acceleration is highest, that the velocity is highest and the mid-swing-point. That is wrong. There is also a turning point with lowest velocity. The highest velocity and the mid-swing-point is where the acceleration is 0.”
Response #1
Remember, the phone is only recording the y-component of the total acceleration. At the end points the where the acceleration, a, is at maximum, but is at right angles to the chains so the y-component is zero.
This coincides with the velocity reaching zero as well.
At the mid-point where the velocity reaches maximum, the x-component of the acceleration is zero and the y-component reaches its maximum.
There is no point where the total acceleration reaches zero, only the x-component.
Response #2
My phone was measuring only the y-component of the acceleration, which from the way I held it, was only along the direction of the chains.
The maximum acceleration or force along the chains happens at the mid-point of the swing.
The minimum acceleration along the chains happens at the turning point.
So the graph is correct for the y-component acceleration.
But it would be interesting to repeat the experiment measuring the acceleration in the x-component, where the graph would look somewhat different.
Other experiments to explore
Morelessons from Vieyra software
http://www.vieyrasoftware.net/browse-lessons
Smartphones in science teaching
Mobile sensor apps for learning physics: A Google Plus community
https://plus.google.com/communities/117493961647466126964
Article: Turn Your Smartphone into a Science Laboratory
http://static.nsta.org/files/tst1509_32.pdf
Using smartphone apps to take physics day to the next level
Placing the smartphone onto a record, playing on a turntable
To study angular motion
Smartphone app contest
http://physicsday.usu.edu/Information/ContestInfo/smartphone.asp
Many more ideas https://mobilescience.wikispaces.com/Ideas
Physics Toolbox Apps by Vieyra Software http://www.vieyrasoftware.net/browse-lessons
Belmont University Summer Science Camp
Physics with Phones, Dr. Scott Hawley http://hedges.belmont.edu/~shawley/PhonePhysics.pdf
References
Familiarizing Students with the Basics of a Smartphone’s Internal Sensors
Colleen Lanz Countryman, Phys. Teach. 52, 557 (2014)
http://dx.doi.org/10.1119/1.4902204
http://scitation.aip.org/content/aapt/journal/tpt/52/9/10.1119/1.4902204
Full text of article, in PDF format
http://scitation.aip.org/content/aapt/journal/tpt/52/3/10.1119/1.4865529
http://scitation.aip.org/content/aapt/journal/tpt/52/5/10.1119/1.4872422
http://iopscience.iop.org/0143-0807/35/4/045013/article
http://scitation.aip.org/content/aapt/journal/tpt/52/8/10.1119/1.4897595
Music of the day
Music to study science by

The Boston Symphony Orchestra as caught in its incomparable native habitat, Symphony Hall.(c) Stu Rosner
Education in music and poetry is most important … because rhythm and harmony permeate the inner part of the soul more than anything else, affecting it most strongly and bringing it grace, so that is someone is properly educated in music and poetry, it makes him graceful. But if not, then the opposite. And because anyone who has been properly educated in music and poetry will sense it acutely when something has been omitted from a thing and when it hasn’t been finely crafted or finely made by nature.”
– Plato, The Republic III 401d-e.

Steven Steigman
Ludwig van Beethoven, Symphony No. 9 in D Minor 4th Movement, “Ode To Joy”, English version, “Joyful, Joyful, We Adore Thee”, at Royal Albert Hall, London, England
https://www.youtube.com/watch?v=eMY3ivdNzwE
Ode to Joy – Flash Mob Started by One Little Girl: To pay homage to the town they love and to celebrate their 130 anniversary Sabadell Bank in Spain delighted the townspeople with an incredible symphony flash mob. Watch as they play Ludwig van Beethoven’s Ninth Symphony and sang Ode to Joy, filling up the town with joy and beautiful music!
https://www.youtube.com/watch?v=87qT5BOl2XU
Ludwig van Beethoven, Symphony No. 9 in D Minor 4th Movement, “Ode To Joy” – Complete w/ Words and Translation – Long
https://www.youtube.com/watch?v=fVJbRiLI2WE
Georges Bizet – Carmen – Overture
https://www.youtube.com/watch?v=pmuFOuh3QHs
Frédéric Chopin, Minute Waltz, 1847
Full name: Waltz in D-flat major, Op. 64, No. 1, Valse du petit chien (French for Waltz of the little dog)
https://www.youtube.com/watch?v=VSsSRvHamls
Franz Liszt, Hungarian Rhapsody No.2 , 1847
https://www.youtube.com/watch?v=IaeqbV5Mg8A
W. A. Mozart, Symphony No. 40, 1st Movement “Allegro”
https://www.youtube.com/watch?v=l45DAuXYSIs
W. A. Mozart, Rondo Alla Turca. Known formally as Piano Sonata No. 11 in A Major
https://www.youtube.com/watch?v=Yomi0-WL5Pg
Johann Pachelbel (1653-1706)
Canon in D. Full name – Canon and Gigue for 3 violins and basso continuo
Boston Pops Orchestra, Conductor John Williams.
https://www.youtube.com/watch?v=dcCnggBzLO4
Gioachino Rossini, The Barber of Seville (1816)
(link to be added)
Gioachino Rossini, LARGO AL FACTOTUM from The Barber of Seville
https://www.youtube.com/watch?v=TKDXr_fimQ8
Gioachino Rossini, The William Tell Overture (1829)
https://www.youtube.com/watch?v=1MxT0PaPDhM
Bedřich Smetana: Dance of the Comedians (1866) NOVA filharmonija
dirigent: Simon Perčič, Novoletni capriccio, Slovenska filharmonija, Ljubljana, 23.12.2013
https://www.youtube.com/watch?v=QGqEFZLhYFg
The Blue Danube, Johann Strauss II (1825 – 1899)
André Rieu & his Johann Strauss Orchestra playing “The Beautiful Blue Danube” (An der schönen blauen Donau)
https://www.youtube.com/watch?v=IDaJ7rFg66A
Pyotr Ilyich Tchaikovsky, The Nutcracker Suite, 1892
https://www.youtube.com/watch?v=w1nzCDUNf-0
Antonio Vivaldi – Four Seasons. 1723
Budapest Strings, Bela Banfalvi, Conductor
https://www.youtube.com/watch?v=GRxofEmo3HA
Richard Wagner, Overture from The Flying Dutchman (German: Der fliegende Holländer) , (1843)
https://www.youtube.com/watch?v=CbUjqtzOdKg
Richard Wagner, Pilgrim’s Chorus, from Tannhäuser
Tannhäuser and the Minstrel’s Contest at the Wartburg”) 1845
https://www.youtube.com/watch?v=r6OQCncAiC8
Richard Wagner, “Ride of the Valkyries”
Act 3 of Die Walküre, the second of the four operas by Richard Wagner that constitute Der Ring des Nibelungen (The Ring of the Nibelung)
https://www.youtube.com/watch?v=GGU1P6lBW6Q
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Vocal/Ethnic/Cultural
Jan Peerce (Joshua Perelmuth) sings The Kol Nidre (Hebrew)
https://www.youtube.com/watch?v=PpBXGIEUDKA
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French National Anthem – “La Marseillaise” (French, with English translation)
https://www.youtube.com/watch?v=PIQSEq6tEVs
Learning Standards
Massachusetts Arts Curriculum Framework
http://www.doe.mass.edu/frameworks/arts/1099.pdf
The Arts Disciplines: Music
5.1 Perceive, describe, and respond to basic elements of music, including beat, tempo, rhythm, meter, pitch, melody, texture, dynamics, harmony, and form
5.2 Listen to and describe aural examples of music of various styles, genres, cultural and historical periods, identifying expressive qualities, instrumentation, and cultural and/or geographic context
Arts in world history: The Age of Revolutionary Change (C. 1700 TO 1914)
Europe: The Classical Style (1750–1825)
Developing forms of music: Sonata, concerto, symphony, instrumental chamber music. Sonata allegro form used extensively in large forms. Emergence of the fortepiano over other keyboard instruments.
Composers: Wolfgang Amadeus Mozart, Ludwig van Beethoven, Franz Joseph Haydn, C.P.E. Bach, J.C. Bach, Carl Maria von Weber, Christoph Willibald Gluck, Luigi Cherubini
The Romanticists (1800–1900) Developing forms of music: Great expansion of all major forms of music, especially the symphony and opera, as well as long solo works. Prominence of piano in chamber music. Descriptive program music. Emergence of
nationalism in composition, use of folk music.
Composers: Hector Berlioz, Franz Schubert, Felix Mendelssohn, Frédéric Chopin, Robert Schumann, Franz Liszt, Richard Wagner, Giuseppe Verdi, César Franck, Anton Bruckner, Johannes Brahms, Georges Bizet, Modest Mussorgsky, Peter Ilyich Tchaikovsky, Antonin Dvorák, Edvard Grieg, Nikolai Rimsky-Korsakov, Giacomo Puccini, Gustav Mahler, Jan Sibelius, Bedrich Smetana.
Possible minds
In developing AIs (artificial intelligences) there’s no guarantee that they will think like we do. We need to ask:
What possible type of minds could people have?
What possible type of minds could AIs have?
We’ll illustrate possible minds on (at least) a 2D (two dimensional) chart.
Let’s start with interpreting 1D, 2D and 3D graphs; then we’ll show how to graph possible minds.
1. What is intelligence?
“The whole of cognitive or intellectual abilities required to obtain knowledge, and to use that knowledge in a good way to solve problems that have a well described goal and structure.”
Resing, W., & Drenth, P. (2007). Intelligence: knowing and measuring. Amsterdam: Publisher Nieuwezijds
also see What is intelligence and IQ?
2. What is the Wechsler IQ scale?
A simplistic test to represent intelligence with a single number.
| IQ Range (“deviation IQ”) | IQ Classification |
|---|---|
| 130 and above | Very Superior |
| 120–129 | Superior |
| 110–119 | High Average |
| 90–109 | Average |
| 80–89 | Low Average |
| 70–79 | Borderline |
| 69 and below | Extremely Low |
3. Is the Wechsler IQ scale 1D, 2D, or 3D?
A 1D (one dimensional) graph is used when there is only one variable.
Thermometer / Wechsler scale / Speedometer
4. In history class we sometimes plot political beliefs on a 1D scale. What is being plotted on this axis?
http://www.iagreetosee.com/faq/what-is-the-political-spectrum/

5. However, not all positions can be accurately shown on a 2D graph. We need at least 2 different dimensions. On this chart, what are axes being plotted?

6. Why is it better for some subjects to use 2D plotting instead of 1D?
7. How would we represent something that needs 3 different variables? With a 3D plot.
On this chart, what are the 3 different dimensions (axes) being plotted?

8. For minds we would need more than 1D to represent ideas. So this chart is insufficient.

We don’t really have just one intelligence dimension (“dumb-to-smart”) Rather, we have many types of intelligence such as the:
ability to think and reason logically, problem solving
ability to have empathy, understand the emotional state of other people)
ability to understand one’s own emotional state/sentience
The Universe of Minds, on a 2D graph
arxiv The Universe of Minds paperhttps://arxiv.org/ftp/arxiv/papers/1410/1410.0369.pdf
By Roman V. Yampolskiy
What is a mind? No universal definition exists… Higher order animals are believed to have one as well and maybe lower level animals and plants or even all life forms.
We believe that an artificially intelligent agent such as a robot or a program running on a computer will constitute a mind….
The set of human minds (about 7 billion of them currently available and about 100 billion ever existed) is very homogeneous both in terms of hardware (embodiment in a human body) and software (brain design and knowledge).
The small differences between human minds are trivial in the context of the full infinite spectrum of possible mind designs. Human minds represent only a small constant size subset of the great mind landscape. Same could be said about the sets of other earthly minds such as dog minds, or bug minds or male minds or in general the set of all animal minds…
Yudkowsky describes the map of mind design space as follows:
“In one corner, a tiny little circle contains all humans; within a larger tiny circle containing all biological life; and all the rest of the huge map is the space of minds-in-general. The entire map floats in a still vaster space, the space of optimization processes. Natural selection creates complex functional machinery without mindfulness; evolution lies inside the space of optimization processes but outside the circle of minds”
Figure 1 illustrates one possible mapping inspired by this description.

Yudkowsky describes the map of mind design space as follows:
“In one corner, a tiny little circle contains all humans; within a larger tiny circle containing all biological life; and all the rest of the huge map is the space of minds-in-general. The entire map floats in a still vaster space, the space of optimization processes”
(Yudkowsky 2008, 311).
Ivan Havel writes:
All conceivable cases of intelligence (of people, machines, whatever) are represented by points in a certain abstract multidimensional “super space” that I will call the intelligence space (shortly IS).
Imagine that a specific coordinate axis in IS is assigned to any conceivable particular ability, whether human, machine, shared, or unknown (all axes having one common origin). If the ability is measurable the assigned axis is endowed with a corresponding scale. Hypothetically, we can also assign scalar axes to abilities, for which only relations like “weaker-stronger,” “better-worse,” “less-more” etc. are meaningful; finally, abilities that may be only present or absent may be assigned with “axes” of two (logical) values (yes-no).
Let us assume that all coordinate axes are oriented in such a way that greater distance from the common origin always corresponds to larger extent, higher grade, or at least to the presence of the corresponding ability. … (Havel 2013, 13)
What do we see here?

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Human minds – what we humans have, from a day old baby, to a child in 3rd grade, to an adult businesswoman, to the greatest geniuses the world has ever seen, like Albert Einstein and Isaac Newton. We’re all represented in the pink circle, in the image above. The left side of the circle are the least smart people, the right side represent the smartest people. The vertical axis might represent sapience, sentience, or some other aspect of intelligence.
Transhuman minds – This larger salmon-colored region represents the possible minds of humans who have chosen to expand their brains. In theory, humans could use genetic engineering, or cybernetics, or both, to expand our intellectual powers.
Transhumanism is “the intellectual and cultural movement that affirms the possibility and desirability of fundamentally improving the human condition through applied reason, especially by using technology to eliminate aging and greatly enhance human intellectual, physical, and psychological capacities” – Nick Bostrum, 1999.
Posthuman minds – If humans continue to push their biology and minds past the transhuman state, the result would be a being that no longer looks or thinks like a human being at all.
Freepy AIs are any type of artificial intelligence that human beings might be able to make; although they may produce results we can understand, we can’t understand the way that they think. They are not only smarter than us, they think differently than we do.
Bipping AI’s are a kind of artificial intelligence so advanced that humans couldn’t even possibly design them. They might be designed by other AIs, or by transhumans, or posthumans. They are amazingly intelligent, but utterly nonhuman. It might not even be possible to have a conversation with them, since their view of reality and their way of thinking about the world is so different from our own.
Gloopy AI’s are a kind of artificial intelligence so advanced that humans couldn’t even possibly design them, but not necessarily smarter than us. They would have a capacity to think, but perhaps at a lesser organized level. It might not even be possible to have a conversation with them, since their view of reality and their way of thinking about the world is so different from our own.
http://www.thenanoage.com/transhumanism-posthumanism.htm
Articles
A taxonomy of minds
Presentation: Is a singularity near? London Futurists Meetup on 20 Oct 2012
The Landscape of Possible Intelligences
The Space of Mind Designs and the Human Mental Model
Stephen M. Omohundro, “The Basic AI Drives”
All computation and physical action requires the physical resources of space, time, matter, and free energy. Almost any goal can be better accomplished by having more of these resources. In maximizing their expected utilities, systems will therefore feel a pressure to acquire more of these resources and to use them as efficiently as possible. Resources can be obtained in positive ways such as exploration, discovery, and trade. Or through negative means such as theft, murder, coercion, and fraud.
Unfortunately the pressure to acquire resources does not take account of the negative externalities imposed on others. Without explicit goals to the contrary, AIs are likely to behave like human sociopaths in their pursuit of resources. Human societies have created legal systems which enforce property rights and human rights. These structures channel the acquisition drive into positive directions but must be continually monitored for continued efficacy.
Non-human intelligences here on Earth
See consciousness in Human and non-Human Animals.
Video: Octopus tries to escape tank at Seattle Aquarium
Andreas Schou writes:
What in god’s name was this octopus trying to do? Maybe that’s the wrong question. There’s no question that octopi are smart — they can puzzle their way through surprisingly complex tasks — but they’re also not a lot like humans.

There’s only a limited extent that we can empathize with animals — and there’s a good chance that we’ll get it wrong. (consider, for example, “What is it like to be a bat?” By Thomas Nagel)
Octopi, though. Octopi are particularly difficult, and I don’t know if “volition” is really the right model to describe what this animal is trying to do.
Most of an octopus’ neurons are in its arms. The rest are in a donut-shaped brain that surrounds its digestive tract. Vision and hearing are handled centrally, but proprioception, smell, touch, and taste are mostly delegated to the nerve cords in the arms.
Which means that, subjectively, an octopus is probably something like an unruly parliament of snakes ruled by a dog.
If you’ve ever gotten a chance to interact with an octopus in person, you’ll find that it really doesn’t have much control over the details of what its tentacles do. Run your finger over the sensory surface, and its suckers will cup your fingers and the end will curl around it. Only afterward — when the octopus actually looks at what you’re doing — does the octopus seem to get a grip on what its tentacle is gripping.
This octopus is crawling out of its tank. But it probably doesn’t have a great idea about where the tips of its tentacles are, and — because it can’t see what its arms are doing — probably doesn’t yet know that it’s trying to make a break for freedom.
What is consciousness?
What is consciousness?
CSTA K-12 Computer Science Standards
CD.L2-07 Describe what distinguishes humans from machines, focusing on human intelligence versus machine intelligence and ways we can communicate.
CD.L2-08 Describe ways in which computers use models of intelligent behavior (e.g., robot motion, speech and language understanding, and computer vision).
CD.L3A-01 Describe the unique features of computers embedded in mobile devices and vehicles (e.g., cell phones, automobiles, airplanes).
CD.L3A-10 Describe the major applications of artificial intelligence and robotics.
Common Core ELA. WHST.6-8.1 Write arguments focused on discipline-specific content.
Entropy
This isn’t a webpage or lesson plan, at this point.
Right now it is just my online notes on entropy
Main ideas
two types of entropy
Rod Vance, on Physics.Stackexchange.com, writes:
There are two definitions of entropy, which physicists believe to be the same (modulo the dimensional Boltzman scaling constant) and a postulate of their sameness has so far yielded agreement between what is theoretically foretold and what is experimentally observed. There are theoretical grounds, namely most of the subject of statistical mechanics, for our believing them to be the same, but ultimately their sameness is an experimental observation
- (Boltzmann / Shannon): Given a thermodynamic system with a known macrostate, the entropy is the size of the document, in bits, you would need to write down to specify the system’s full quantum state. Otherwise put, it is proportional to the logarithm of the number of full quantum states that could prevail and be consistent with the observed macrostate. Yet another version: it is the (negative) conditional Shannon entropy (information content) of the maximum likelihood probability distribution of the system’s microstate conditioned on the knowledge of the prevailing macrostate;
- (Clausius / Carnot): Let a quantity δQδQ of heat be input to a system at temperature TT. Then the system’s entropy change is δQTδQT. This definition requires background, not the least what we mean by temperature; the well-definedness of entropy (i.e. that it is a function of state alone so that changes are independent of path between endpoint states) follows from the definition of temperature, which is made meaningful by the following steps in reasoning: (see my answer here for details). (1) Carnot’s theorem shows that all reversible heat engines working between the same two hot and cold reservoirs must work at the same efficiency, for an assertion otherwise leads to a contradiction of the postulate that heat cannot flow spontaneously from the cold to the hot reservoir. (2) Given this universality of reversible engines, we have a way to compare reservoirs: we take a “standard reservoir” and call its temperature unity, by definition. If we have a hotter reservoir, such that a reversible heat engine operating between the two yields TT units if work for every 1 unit of heat it dumps to the standard reservoir, then we call its temperature TT. If we have a colder reservoir and do the same (using the standard as the hot reservoir) and find that the engine yields TT units of work for every 1 dumped, we call its temperature T−1T−1. It follows from these definitions alone that the quantity δQTδQT is an exact differential because ∫badQT∫abdQT between positions aa and bb in phase space must be independent of path (otherwise one can violate the second law). So we have this new function of state “entropy” definied to increase by the exact differential dS=δQ/TdS=δQ/T when the a system reversibly absorbs heat δQδQ.
As stated at the outset, it is an experimental observation that these two definitions are the same; we do need a dimensional scaling constant to apply to t
http://physics.stackexchange.com/questions/131170/what-is-entropy-really
————————————
textbooks
apps
? Phet
microstates
External links
Entropy Sites — A Guide. Frank L. Lambert, Professor Emeritus
Entropy (order and disorder) (Wikipedia)
What Is Entropy? By Johannes Koelman
What is entropy? Thermodynamics of chemical equilibrium
Learning Standards
2016 Massachusetts Science and Technology/Engineering Curriculum Framework
High School Chemistry
PS3.A and 3.B Definition and conservation of energy and energy transfer
HS-PS3-4b. Provide evidence from informational text or available data to illustrate that the transfer of energy during a chemical reaction in a closed system involves changes in energy dispersal (enthalpy change) and heat content (entropy change) while assuming the overall energy in the system is conserved.
Mass Science Curriculum 2006
6. States of Matter, Kinetic Molecular Theory, and Thermochemistry
Central Concepts: Gas particles move independently of each other and are far apart. The behavior of gas particles can be modeled by the kinetic molecular theory. In liquids and solids, unlike gases, particles are close to each other. The driving forces of chemical reactions are energy and entropy. The reorganization of atoms in chemical reactions results in the release or absorption of heat energy.
6. States of Matter, Kinetic Molecular Theory, and Thermochemistry
6.5 Recognize that there is a natural tendency for systems to move in a direction of disorder or randomness (entropy).
SAT Subject Test in Chemistry
Thermochemistry: Including conservation of energy, calorimetry and specific heats, enthalpy (heat) changes associated with phase changes and chemical reactions, heating and cooling curves, entropy.
AP Chemistry
5.E: Chemical or physical processes are driven by a decrease in enthalpy or an increase in entropy, or both.

5.A.1: Temperature is a measure of the average kinetic energy of atoms and molecules.
5.E: One of the most powerful applications of thermodynamic principles is the ability to determine whether a process corresponding to a physical or chemical change will lie toward the reactant or product side when the process reaches a steady equilibrium state. The standard change in Gibbs free energy, ΔG° = ΔH° – TΔS°, is used to make this determination. If ΔG° < 0, then products are favored at equilibrium, and the forward process is considered to be “thermodynamically favored.” Conversely, if ΔG° > 0, then reactants are favored at equilibrium, and the reverse process is considered to be “thermodynamically favored.” Both the enthalpy change (ΔH°) and the entropy change (ΔS°) are closely related to the structure and nature of the components of the system; for this reason, it is often possible to make qualitative determinations concerning the sign (and magnitude) of ΔG° without explicit calculation…. Importantly, in biochemical systems, some reactions that oppose the thermodynamically favored direction are driven by coupled reactions. Thus, a cell can use energy to create order (a direction that is not thermodynamically favored) via coupling with thermodynamically favored reactions….
5.E.1: Entropy is a measure of the dispersal of matter and energy.
5.E.1: a. Entropy may be understood in qualitative terms rather than formal statistical terms. Although this is not the most rigorous approach to entropy, the use of qualitative reasoning emphasizes that the goal is for students to be able to make predictions about the direction of entropy change, ΔS°, for many typical chemical and physical processes.
b. Entropy increases when matter is dispersed. The phase change from solid to liquid, or from liquid to gas, results in a dispersal of matter in the sense that the individual particles become more free to move, and generally occupy a larger volume. Another way in which entropy increases in this context is when the number of individual particles increases when a chemical reaction precedes whose stoichiometry results in a larger number of product species than reacting species. Also, for a gas, the entropy increases when there is an increase in volume (at constant temperature), and the gas molecules are able to move within a larger space.
c. Entropy increases when energy is dispersed. From KMT, we know that the distribution of kinetic energy among the particles of a gas broadens as the temperature increases. This is an increase in the dispersal of energy, as the total kinetic energy of the system becomes spread more broadly among all of the gas molecules. Thus, as temperature increases, the entropy increases.
5.E.2: a. For the purposes of thermodynamic analysis in this course, the enthalpy and the internal energy will not be distinguished.
b. The phrase “thermodynamically favored” means that products are favored at equilibrium (K > 1).
c. Historically, the term “spontaneous” has been used to describe processes for which ΔG° < 0. The phrase “thermodynamically favored” is used here to avoid misunderstanding and confusion that can occur because of the common connotation of the term “spontaneous,” which students may believe means “immediately” or “without cause.”
d. For many processes, students will be able to determine, either quantitatively or qualitatively, the signs of both ΔH° and ΔS° for a physical or chemical process. In those cases where ΔH° < 0 and ΔS° > 0, there is no need to calculate ΔG° in order to determine that the process is thermodynamically favored.
e. As noted below in 5.E.5, the fact that a process is thermodynamically favored does not mean that it will proceed at a measurable rate.
f. Any process in which both ΔH° > 0 and ΔS° < 0 are not thermodynamically favored, (ΔG° > 0) and the process must favor reactants at equilibrium (K < 1). Because the signs of ΔS° and ΔH° reverse when a chemical or physical process is reversed, this must be the case.
http://www.n-union.k12.oh.us/Downloads/AP%20Chem%20Curriculum%20Map.docx
Ancient mesopotamian science
Here we examine the development of astronomy, math, and science in ancient Mesopotamian science.
Akkadian era – 3000 – 2000 BCE.
Sumerian city-state kings fought over land from 3000 to 2000 B.C.
Sargon of Akkad was powerful leader, creator of the worldʼs first empire – took over northern and southern Mesopotamia around 2350 B.C. – empire—many different peoples, lands controlled by one ruler (emperor) The Akkadian Empire
Sargonʼs empire was called the Akkadian Empire. This included the Fertile Crescent—lands from Mediterranean Sea to Persian Gulf
Known for rich soil, water, and good farming
Sargonʼs conquests spread Akkadian ideas, culture, writing system. Empires encourage trade and may bring peace to their peoples. Peoples of several cultures share ideas, technology, customs.
Babylonian mathematics
As early as 2000 BCE, Babylonians used pre-calculated tables to assist with arithmetic such as:
This became useful for their early astronomy.
Babylonians developed advanced forms of geometry, some of which was used in astronomy.
The info above comes from Houghton Mifflin Historical-Social Science: World History: Ancient Civilizations: Eduplace Social studies review: LS_6_04_01.
Metallurgy
Chemistry connections
Mesopotamia – Part I
“[People in ancient mesopotamia] made substantial advances in crafting higher quality bronze tools and weapons. It took trade to relatively distant places – because tin ore caches are sparse – to create tin-alloy bronze. This was the standard to aim for in the ancient world – and also prevented metal-smiths from developing limps and dying of gradual arsenic poisoning. (not joking)”
– What were some of the achievements of the Akkadian Empire? Which have lasted in modern times?
Babylonian era
First Babylonian dynasty – Amorite Dynasty, 1894–1595 BCE
Early Iron Age – Native Rule, Second Dynasty of Isin, 1155–1026 BCE
Assyrian rule, 911–619 BCE
Let’s look at this same area. in its larger geographical context:
This empire was very similar to the Akkadians. 1792-1749 BCE.
King Hammurabi of Babylon is a major figure.
• Akkadian Empire lasted about 200 years
• Amorites invaded Sumer about 2000 B.C., chose Babylon as capital
• Hammurabi—powerful Amorite king who ruled from 1792 to 1750 B.C.
– extended empire across Mesopotamia, Fertile Crescent
– appointed governors, tax collectors, judges to control lands
– watched over agriculture, trade, construction
Babylonians recognize that astronomical phenomena are periodic (e.g. the annual cycle of the Earth-Sun system)
The motion of the moon, and tides, are more examples of periodic phenomenon

Although they did not know the physical reasons why such patterns existed, they discovered the mathematical periodicity of both lunar and solar eclipses.
Centuries of Babylonian observations of celestial phenomena are recorded in the series of cuneiform tablets known as the Enûma Anu Enlil
Astronomical studies of the planet Venus
Writing of the “Mul Apin” clay tablets, catalogs of stars and constellations, heliacal rising dates of stars, constellations and planets
Babylonian cosmology
They developed a view of the universe in which our Earth was essentially flat, with several layers of heavens above, and several layers of underworlds below.
This diagram roughly shows their view of the universe – but note that this image is not meant to be geocentric. They didn’t imply that our world is the center of the universe; this was just what the universe was imagined to be like, locally.
The idea that our Earth is literally the center of the entire universe (geocentrism) didn’t develop until the later Greek era, circa the time of Aristotle.

“A six-level universe consisting of three heavens and three earths:
two heavens above the sky, the heaven of the stars, the earth, the underground of the Apsu, and the underworld of the dead.
The Earth was created by the god Marduk as a raft floating on fresh water (Apsu), surrounded by a vastly larger body of salt water (Tiamat).
The gods were divided into two pantheons, one occupying the heavens and the other in the underworld. ”
– History of cosmology, from Astronomy 123: Galaxies and the Expanding Universe
Assyrian empire 850 – 609 BCE
• Assyrian Empire replaced Babylonian Empire
• Located in hilly northern Mesopotamia
– built powerful horse and chariot army to protect lands
– soldiers were the only ones in the area to use iron swords, spear tips
– used battering rams, ladders, tunnels to get past city walls
• Assyrians were cruel to defeated peoples
• Enemies who surrendered were allowed to choose a leader.
Enemies who resisted were taken captive and killed or enslaved.
• Enemy leaders were killed, cities burned
• Captured peoples were sent into exile
• Assyrian Empire fell in 609 B.C.
– defeated by combined forces of the Medes and Chaldeans
– victors burned the Assyrian capital city of Nineveh
Science
Astronomers of their day discovered a repeating 18-year Saros cycle of lunar eclipses

(data for this GIF is from http://eclipse.gsfc.nasa.gov/SEsaros/SEsaros101.html)
Chaldean Empire/Neo-Babylonian empire 625 – 539 BCE
• Chaldeans ruled much of former Assyrian Empire
– sometimes called New Babylonians because Babylon was capital
• Chaldean empire peaked from 605 to 562 B.C. under Nebuchadnezzar II
– took Mediterranean trading cities, drove Egyptians out of Syria
• Nebuchadnezzar seized Jerusalem when the Hebrews rebelled in 598 B.C. He destroyed the Jewish people’s Temple in Jerusalem and held many of them captive in Babylon for about 50 years. Many later returned to their homeland under Cyrus the Great.
At the height of their wealth and power, the Chaldeans:
• Nebuchadnezzar built Babylonʼs Ishtar Gate, Tower of Babel ziggurat
• Built the Hanging Gardens of Babylon, one of Seven Wonders of the World
– an artificial mountain covered with trees, plants
The Empire Fades
• Weak rulers followed Nebuchadnezzar II
• Internal conflicts over religion divided Chaldean people
– made it easy for Cyrus The Great, King of Persia to conquer land
Post-Chaldean Babylonians
Jesse Emspak, in the Smithsonian, “Babylonians Were Using Geometry Centuries Earlier Than Thought” 1/28/16
As one of the brightest objects in the night sky, the planet Jupiter has been a source of fascination since the dawn of astronomy.
Now a cuneiform tablet dating to between 350 and 50 B.C. shows that Babylonians not only tracked Jupiter, they were taking the first steps from geometry toward calculus to figure out the distance it moved across the sky.

Obliquity of the Nine Planets http://solarviews.com/eng/solarsys.htm
Mathieu Ossendrijver of Humboldt University in Berlin found the tablet while combing through the collections at the British Museum.
The written record gives instructions for estimating the area under a curve by finding the area of trapezoids drawn underneath.
Using those calculations, the tablet shows how to find the distance Jupiter has traveled in a given interval of time.

The distance travelled by Jupiter after 60 days, 10º45′, computed as the area of the trapezoid whose top left corner is Jupiter’s velocity over the course of the first day, in distance per day, and its top right corner is Jupiter’s velocity on the 60th day.
In a second calculation, the trapezoid is divided into two smaller ones, with equal area to find the time in which Jupiter covers half this distance. Photo credit: Trustees of the British Museum/Mathieu Ossendrijver
http://www.space.com/31765-ancient-babylonians-tracked-jupiter-with-math.html
Until now, this kind of use of trapezoids wasn’t known to exist before the 14th century.
“What they are doing is applying it to astronomy in a totally new way,” Ossendrijver says. “The trapezoid figure is not in real space and doesn’t describe a field or a garden, it describes an object in mathematical space—velocity against time.”
Scholars already knew that Babylonians could find the area of a trapezoid, and that they were quite familiar with the motions of planets and the moon. Previous records show that they used basic arithmetic—addition, subtraction, multiplication and division—to track these celestial bodies.
By 400 B.C. Babylonian astronomers had worked out a coordinate system using the ecliptic, the region of the sky the sun and planets move through, Ossendrijver says. They even invented the use of degrees as 360 fractions of a circle based on their sexagesimal, or base 60, counting system. What wasn’t clear was whether the Babylonians had a concept of objects in abstract mathematical space.
The trapezoid method involves learning the rate at which Jupiter moves and then plotting the planet’s speed against a set number of days on an x-y graph. The result should be a curve on the graph. Figuring out the area of trapezoids under this curve gives a reasonable approximation of how many degrees the planet has moved in a given period.
Babylonians Were Using Geometry Centuries Earlier Than Thought, Smithsonian Magazine
External references
https://en.wikipedia.org/wiki/Babylonian_astronomy
Learning Standards
2016 Massachusetts Science and Technology/Engineering Curriculum Framework
Understandings about the Nature of Science: Science knowledge has a history that includes the refinement of, and changes to, theories, ideas, and beliefs over time.
Science Is a Human Endeavor: Scientific knowledge is a result of human endeavor,
imagination, and creativity. Individuals and teams from many nations and cultures have contributed to science and to advances in engineering.
Massachusetts History and Social Science Curriculum Framework
Mesopotamia: Site of several ancient river civilizations circa 3500–1200 BCE
7.10 Describe the important achievements of Mesopotamian civilization.
C# Framework for Social Studies
Geographic Representations: Spatial Views of the World
2.Geo.2.9-12. Use maps, satellite images, photographs, and other representations to explain relationships between the locations of places and regions and their political, cultural, and economic dynamics
Next Generation Science Standards
HS-ESS1 Earth’s Place in the Universe
Construct an explanation based on valid and reliable evidence obtained from a variety of sources (including students’ own investigations, theories, simulations, peer review) and the assumption that theories and laws that describe the natural world operate today as they did in the past and will continue to do so in the future. (HS-ESS1-2)
Apply scientific reasoning to link evidence to the claims to assess the extent to which the reasoning and data support the explanation or conclusion. (HS-ESS1-6)
Engaging in Argument from Evidence: Use appropriate and sufficient evidence and scientific reasoning to defend and critique claims and explanations about the natural and designed world(s). Arguments may also come from current scientific or historical episodes in science.
Connections to Nature of Science:
Science Models, Laws, Mechanisms, and Theories Explain Natural Phenomena.
A scientific theory is a substantiated explanation of some aspect of the natural world, based on a body of facts that have been repeatedly confirmed through observation and experiment, and the science community validates each theory before it is accepted. If new evidence is discovered that the theory does not accommodate, then the theory is generally modified in light of this new evidence. (HS-ESS1-2),(HS-ESS1-6)


Graphing data that means something
Goals
1. How to graph data
2. How to identify trends (linear data)
3. How to identify more complex trends (simple harmonic motion)
4. Discover that data doesn’t always tell you about a physical phenomenon: Most of the time we need to know what phenomenon we’re analyzing, before the data can be understood at all.
Use the lesson ““Data has no meaning without a physical interpretation”

Actual student data
Learning standards
A Framework for K-12 Science Education: Practices, Crosscutting Concepts, and Core Ideas (2012)
Dimension 1: Scientific and Engineering Practices.
Practice 4: Analyzing and Interpreting Data.
“Once collected, data must be presented in a form that can reveal any patterns and relationships and that allows results to be communicated to others. Because raw data as such have little meaning, a major practice of scientists is to organize and interpret data through tabulating, graphing, or statistical analysis. Such analysis can bring out the meaning of data—and their relevance—so that they may be used as evidence.”
Surface tension
Surface tension
New section: to be written

MythBusters: Buried Alive & Falling off of a bridge 10/2003
(1) If a person is falling off a bridge, can they save themselves by throwing a hammer ahead of them to break the surface tension of the water prior to their own impact?
How can cliff divers survive their dives?
http://physics.stackexchange.com/questions/9059/jumping-into-water
Dimensional analysis
(Also called the factor-label method)
Dimensional analysis is a super useful technique used for many different reasons:
scaling up recipes to much larger quantities
Converting English-to-metric units (or vice-versa)
Physics problems, e.g. involving speed and distance
Chemistry problems (how much product is made from how much starting materials?)
Dimensional analysis is just a a trick in which we use conversions factors to get from the info we have, to the answer we need.
Sometimes we need to string several conversion factors together to get the answer that we need.
What is a conversion factor?
Two things that are exactly equivalent
We can always write 2 equivalent things as a fraction
The fraction can be written with either term on top, or bottom:
Conversion factor for money
Conversion factor for distance

Example: How do we convert inches to cm?

Convert days to seconds

Worksheet: Dimensional analysis worksheet: By JenniferBarankovi
External links
Fun with Dimensional analysis, Eric Lee, RN
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2016 Massachusetts Science and Technology/Engineering Curriculum Framework
Science and Engineering Practices: 5. Using Mathematics and Computational Thinking:
Apply ratios, rates, percentages, and unit conversions in the context of complicated measurement problems involving quantities with derived or compound units (such as mg/mL, kg/m 3, acre-feet, etc.).
NSTA: The efficiency and effectiveness of the metric system has long been evident to scientists, engineers, and educators. Because the metric system is used in all industrial nations except the United States, it is the position of the National Science Teachers Association that the International System of Units (SI) and its language be incorporated as an integral part of the education of children at all levels of their schooling.
objects in motion
Kinematics is the study of objects in motion. It allow us to study displacement, velocity, time and acceleration. Check out our introductory lesson on this study of motion here:
https://kaiserscience.wordpress.com/physics/kinematics/

The Thirty Million Word Gap

The full article is available here: The Early Catastrophe: The 30 Million word gap by age 3. and at http://www.aft.org/periodical/american-educator/spring-2003
Betty Hart and Todd Risley entered the homes of 42 families from various socio-economic backgrounds to assess the ways in which daily exchanges between a parent and child shape language and vocabulary development. Their findings showed marked disparities between the sheer number of words spoken as well as the types of messages conveyed.
After four years these differences in parent-child interactions produced significant discrepancies in not only children’s knowledge, but also their skills and experiences with children from high-income families being exposed to 30 million more words than children from families on welfare.

Follow-up studies showed that these differences in language and interaction experiences have lasting effects on a child’s performance later in life.
The Early Catastrophe
Betty Hart & Todd R. Risley
Mission:
Betty Hart and Todd Risley were at the forefront of educational research during the 1960’s War on Poverty. Frustrated after seeing the effects of their high quality early intervention program aimed at language skill expansion prove unsuccessful in the long-term, they decided to shift their focus. If the proper measures were being taken in the classroom, the only logical conclusion was to take a deeper look at the home.
What difference does home-life make in a child’s ability to communicate? Why are the alarming vocabulary gaps between high school students from low and high income environments seemingly foreshadowed by their performance in preschool? Hart and Risley believed that the home housed some of these answers.
Experimental Method:
Hart and Risley recruited 42 families to participate in the study including 13 high-income families, 10 families of middle socio-economic status, 13 of low socio-economic status, and 6 families who were on welfare. Monthly hour-long observations of each family were conducted from the time the child was seven months until age three. Gender and race were also balanced within the sample.
Results:
The results of the study were more severe than the researchers anticipated. Observers found that 86 percent to 98 percent of the words used by each child by the age of three were derived from their parents’ vocabularies.
Furthermore, not only were the words they used nearly identical, but also the average number of words utilized, the duration of their conversations, and the speech patterns were all strikingly similar to those of their caregivers.

After establishing these patterns of learning through imitation, the researchers next analyzed the content of each conversation to garner a better understanding of each child’s experience. They found that the sheer number of words heard varied greatly along socio-economic lines. On average, children from families on welfare were provided half as much experience as children from working class families, and less than a third of the experience given to children from high-income families.

In other words, children from families on welfare heard about 616 words per hour, while those from working class families heard around 1,251 words per hour, and those from professional families heard roughly 2,153 words per hour. Thus, children being raised in middle to high income class homes had far more language exposure to draw from.
In addition to looking at the number of words exchanged, the researchers also looked at what was being said within these conversations. What they found was that higher-income families provided their children with far more words of praise compared to children from low-income families. Conversely, children from low-income families were found to endure far more instances of negative reinforcement compared to their peers from higher-income families.
Children from families with professional backgrounds experienced a ratio of six encouragements for every discouragement. For children from working-class families this ratio was two encouragements to one discouragement. Finally, children from families on welfare received on average two discouragements for every encouragement. Therefore, children from families on welfare seemed to experience more negative vocabulary than children from professional and working-class families.
The authors conclude:
We learned from the longitudinal data that the problem of skill differences among children at the time of school entry is bigger. more intractable. and more important than we had thought. So much is happening to children during their first three years at home, at a time when they are especially malleable and uniquely dependent on the family for virtually all their experience. that by age 3, an intervention must address not just a lack of knowledge or skill, but an entire general approach to experience…
…Estimating, as we did, the magnitude of the differences in children’s cumulative experience before the age of 3 gives an indication of how big the problem is. Estimating the hours of intervention needed to equalize children’s early experience makes clear the enormity of the effort that would be required to change children’s lives. And the longer the effort is put off, the less possible the change becomes. We see why our brief, intense efforts during the War on Poverty did not succeed. But we also see the risk to our nation and its children that makes intervention more urgent than ever.
_______________________________________
A summary from “The Early Catastrophe: The 30 Million Word Gap by Age 3” by University of Kansas researchers Betty Hart and Todd R. Risley. (2003). American Educator. Spring: 4-9, which was excerpted with permission from B. Hart and T.R. Risley (1995). Meaningful Differences in the Everyday Experiences of Young American Children. Baltimore, MD: Brookes Publishing.

















