|  | 
| 15 | 15 | rms_threshold = 47 | 
| 16 | 16 | 
 | 
| 17 | 17 | data = [ | 
| 18 |  | -    {"NSB": 0, "runs": np.arange(7144, 7153)}, | 
| 19 |  | -    {"NSB": 10.6, "runs": np.arange(7153, 7162)}, | 
| 20 |  | -    {"NSB": 20.4, "runs": np.arange(7162, 7171)}, | 
| 21 |  | -    {"NSB": 39.8, "runs": np.arange(7171, 7180)}, | 
| 22 |  | -    {"NSB": 78.8, "runs": np.append(np.array([7180]), np.arange(7182, 7190))}, | 
|  | 18 | +    {"NSB": 0, "runs": np.arange(6672, 6681)}, | 
|  | 19 | +    {"NSB": 10.6, "runs": np.arange(6681, 6690)}, | 
|  | 20 | +    {"NSB": 20.4, "runs": np.arange(6690, 6699)}, | 
|  | 21 | +    {"NSB": 39.8, "runs": np.arange(6699, 6708)}, | 
|  | 22 | +    {"NSB": 78.8, "runs": np.arange(6708, 6717)}, | 
| 23 | 23 | ] | 
|  | 24 | +temp = 0.0 | 
| 24 | 25 | 
 | 
| 25 | 26 | pixel_display = [100, 144, 240, 723, 816, 1034, 1516] | 
| 26 | 27 | 
 | 
|  | 
| 149 | 150 |                         ) | 
| 150 | 151 | 
 | 
| 151 | 152 |             if pixel_id in pixel_display: | 
| 152 |  | -                ax.set_title("Pixel {}, T 10 deg".format(pixel_id)) | 
|  | 153 | +                ax.set_title("Pixel {}, T {} deg".format(pixel_id, temp)) | 
| 153 | 154 |                 fig.savefig( | 
| 154 | 155 |                     "{}/pixel_{}_{}.png".format(os.environ["FIGDIR"], pixel_id, k) | 
| 155 | 156 |                 ) | 
|  | 
| 188 | 189 |         if k == 1: | 
| 189 | 190 |             ax.set_yscale("log") | 
| 190 | 191 |         if k == 0 and s == 0: | 
| 191 |  | -            ax.set_title("Pedestal slope (ADC/mA), hg, T 10 deg") | 
|  | 192 | +            ax.set_title("Pedestal slope (ADC/mA), hg, T {} deg".format(temp)) | 
| 192 | 193 |         elif k == 0 and s == 1: | 
| 193 |  | -            ax.set_title("Pedestal slope (ADC/mA), lg, T 10 deg") | 
|  | 194 | +            ax.set_title("Pedestal slope (ADC/mA), lg, T {} deg".format(temp)) | 
| 194 | 195 |         elif k == 1 and s == 0: | 
| 195 |  | -            ax.set_title("Pedestal width slope (ADC/sqrt(mA)), hg, T 10 deg") | 
|  | 196 | +            ax.set_title( | 
|  | 197 | +                "Pedestal width slope (ADC/sqrt(mA)), hg, T {} deg".format(temp) | 
|  | 198 | +            ) | 
| 196 | 199 |         elif k == 1 and s == 1: | 
| 197 |  | -            ax.set_title("Pedestal width slope (ADC/sqrt(mA)), lg, T 10 deg") | 
|  | 200 | +            ax.set_title( | 
|  | 201 | +                "Pedestal width slope (ADC/sqrt(mA)), lg, T {} deg".format(temp) | 
|  | 202 | +            ) | 
| 198 | 203 |         plt.axvline(np.nanmean(slopes), linestyle=":") | 
| 199 | 204 |         plt.axvline(np.nanmean(slopes) - np.nanstd(slopes), linestyle=":") | 
| 200 | 205 |         plt.axvline(np.nanmean(slopes) + np.nanstd(slopes), linestyle=":") | 
|  | 
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