Week 2 Pre-Lab

ucla | PHYSICS 4AL | 2023-01-16T16:28

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Table of Contents

• Definitions
• Big Ideas
• Resources

Definitions

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Big Ideas

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$Q=(A+B{)}^2=400\text{sps. }x=A+B=20\delta x=\sqrt{(\delta A{)}^2+(\delta B{)}^2}=5\delta Q=2\frac{\delta x}{x}\cdot Q=200$

# assuming the data is given by numpy arrays "x,y"
# assuming matplotlib imported as "plt"

# assigning variables
res, cov = np.polyfit(x,y,1,cov=True)

# fitting data to liner function
plt.plot(x,res[0]*x+res[1],'r',label="fit")

# extracting fit coeff(s)
slope = res[0]
intercept = res[1]

# extracting covariance matrix elements
var_slope = cov[0][0]
var_intercept = cov[1][1]
covar = cov[0][1] # or cov[1][0]

Resources

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**SUMMARY
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