> # Given data > tau_observed N2_concentration > # Calculate total decay rates (k_tot) > k_tot > # Create a linear model (y = k_q * x + (k_f + k_IC)) > lm_fit > # Extract slope (k_q) and intercept > k_q [2] # slope Error: unexpected '>' in "k_q " > intercept [1] # k_f + k_IC Error: unexpected '>' in "intercept " > > # Print results > cat("N2 quenching rate constant k_q is:", k_q, " ") N2 quenching rate constant k_q is: 5.670241e-11 > cat("k_f + k_IC could be determined from intercept, which is:", intercept, " ") k_f + k_IC could be determined from intercept, which is: 3169709 > > # Create plot > plot(N2_concentration, k_tot, xlab = "[N2] (molecule cm^-3)", + ylab = "k_tot (s^-1)", + main = "Total Decay Rate vs N2 Concentration", + log="x", # Log scale for better visualization + pch=19, # Point type + col="blue") # Color of points > > # Add the line of best fit > abline(lm_fit, col="red", lwd=2) # Line of best fit in red >