Solution

ID: past-exam-of-the-short-options-paper-shared-by-prelims-and-parts-a-and-b-of-the-physics-course-of-the-university-of-oxford/2018/s14/1/solution

A strong explanation treats instruments and mathematical descriptions as mutually reinforcing. New instruments expanded the phenomena available for investigation, while mathematical models determined what could be inferred from their readings. Neither a list of inventions nor an account of abstract ideas alone explains the Scientific Revolution.
The telescope changed astronomy by making lunar surface relief, Jupiter's satellites and the phases of Venus observable. Galileo Galilei's observations challenged a sharp physical separation between perfect heavens and an imperfect Earth and showed that not every celestial motion was centred on Earth. The full range of Venusian phases contradicted the traditional Ptolemaic arrangement, but could also fit a geoheliocentric model: the observation did not by itself uniquely prove a moving Earth. Interpreting an unfamiliar optical image required repeated observations, comparison between instruments and a convincing account of optical reliability.[ref]
Quantitative mechanics also depended on measurement: controlled motion experiments, timing, balances and geometrical reconstruction made relationships such as distance proportional to elapsed-time squared testable. Johannes Kepler used precise positional astronomy to replace uniform circular combinations by mathematical laws of planetary motion. Isaac Newton then linked terrestrial falling and celestial orbits through common dynamical laws and universal gravitation. This was more than fitting curves: a small mathematical framework connected otherwise disparate phenomena and generated further predictions.
The air pump, barometer and improved thermometry similarly turned pressure and atmospheric effects into reproducible laboratory subjects. Robert Boyle's pressure-volume relation exemplifies how an engineered apparatus and quantitative regularity could develop together. Such experiments required skilled craft, calibration, environmental control and credible witnesses, not merely a solitary theorist manipulating symbols.
Mathematization was therefore transformative because it replaced many qualitative classifications with quantities, relations and calculable idealizations. It was selective: a frictionless body or point mass is not an immediate sensory object, and an effective model can abstract from the very imperfections an instrument reveals. Instruments made those abstractions answerable to new evidence. Printing, patronage, observatories, correspondence and learned societies helped stabilize results across different observers. The best assessment gives neither instruments nor mathematics exclusive causal priority; their interaction, within these social arrangements, produced a new style of explanation and evidence.

New to topics? Read the docs here!