1 / 11

05/03/09

05/03/09. Dónde nos quedamos la última vez...?. Revisar código del fit y corregir los posibles errores. Restringir el intervalo de masa en torno al pico de masa del Bs. Fijar la fracción de señal en el fit (Fsig = 0.5 , S/B = 1) ‏

onawa
Télécharger la présentation

05/03/09

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. 05/03/09

  2. Dónde nos quedamos la última vez...? • Revisar código del fit y corregir los posibles errores. • Restringir el intervalo de masa en torno al pico de masa del Bs. • Fijar la fracción de señal en el fit (Fsig = 0.5 , S/B = 1)‏ • Generar datos y visualizar la asimetría (funcion de t): ( N(Bs) – N(Bsbar) ) / ( N(Bs) + N(Bsbar) )‏ • Ajustar esos datos a la función de probabilidad y visualizar (sobre los datos) la predicción de la p.d.f. • Comprobar que los parámetros que salen del ajuste son consistentes con los que se meten de input.

  3. Fsig=1, No Time Acc., No Time Res., w = 0 Nt = 5000 NBs = NBsbar = 2000 btim = 0 ps^3 sigmat = 0 ps

  4. Fsig = 1, No Time Acc., No Time Res., w = 0 NO. NAME VALUE NEGATIVE POSITIVE 1 Rpa 9.44164e-02 -3.99102e-03 4.15076e-03 OK 2 Rpe 7.98491e-02 -5.69817e-03 5.86271e-03 X 3 del1 2.72011e-02 -5.28318e-02 5.27332e-02 OK 4 del2 3.14916e+00 -5.21984e-02 5.71066e-02 OK 5 gama 1.04347e+00 -2.53945e-02 2.57942e-02 OK 6 gamd 5.21238e-02 -5.59795e-02 5.55491e-02 X 7 phis 1.60644e-01 -2.31968e-02 2.32869e-02 X phi_s = 9.20423472797 + 1.33424364804 - 1.32907969852

  5. Fsig = 1, Time Acc., Time Res., w = 0 Nt = 5000 NBs = NBsbar = 2000 btim = 0.027 ps^3 sigmat = 0.045 ps

  6. Fsig = 1, Time Acc., Time Res., w = 0 NO. NAME VALUE NEGATIVE POSITIVE 1 Rpa 9.39432e-02 -4.12677e-03 4.20634e-03 OK 2 Rpe 8.76708e-02 -6.20614e-03 6.53852e-03 X 3 del1 5.48024e-02 -7.66503e-02 7.61579e-02 OK 4 del2 3.17901e+00 -6.76180e-02 6.71483e-02 OK 5 gama 1.01369e+00 -2.16648e-02 2.19685e-02 OK 6 gamd 1.91410e-01 -5.13327e-02 5.07411e-02 OK 7 phis 2.39055e-01 -3.17366e-02 3.26277e-02 X phi_s = 13.6968317029 + 1.86942730543 - 1.81837220075

  7. Fsig = 0.5, Time Acc., Time Res., w = 0 Nt = 5000 NBs = NBsbar = 2000 btim = 0.027 ps^3 sigmat = 0.045 ps

  8. Fsig = 0.5, Time Acc., Time Res., w = 0 NO. NAME VALUE NEGATIVE POSITIVE 1 Rpa 1.03226e-01 -7.38658e-03 7.62333e-03 OK 2 Rpe 7.44554e-02 -9.55611e-03 1.04784e-02 X 3 del1 -6.85116e-02 -1.33218e-01 1.35722e-01 OK 4 del2 3.11361e+00 -1.10850e-01 1.11274e-01 OK 5 gama 1.01437e+00 -3.35596e-02 3.42083e-02 X 6 gamd 3.27944e-01 -8.22682e-02 8.05971e-02 X 7 phis 1.66163e-01 -4.46237e-02 4.66493e-02 OK phi_s = 9.52042211315 + 2.67280587273 - 2.55675114589

  9. Fsig = 0.5, Time Acc., Time Res., w = 0.3 Nt = 5000 NBs = NBsbar = 2000 btim = 0.027 ps^3 sigmat = 0.045 ps

  10. Fsig = 0.5, Time Acc., Time Res., w = 0.3 NO. NAME VALUE NEGATIVE POSITIVE 1 Rpa 9.26899e-02 -8.11812e-03 8.46227e-03 OK 2 Rpe 9.20385e-02 -1.19684e-02 1.27354e-02 OK 3 del1 -1.51052e-01 -2.28346e-01 2.38222e-01 OK 4 del2 3.35116e+00 -2.05974e-01 2.06901e-01 OK 5 gama 1.00895e+00 -3.58098e-02 3.62170e-02 OK 6 gamd 1.16082e-01 -8.53322e-02 8.49316e-02 OK 7 phis 2.73578e-01 -1.20337e-01 1.27374e-01 OK phi_s = 15.6748769252º + 7.29796991171º - 6.89480233219º

  11. Conclusiones & Tareas • El código se comporta bien. • Los parámetros que se extraen del ajuste son consistentes con el input. • Aumentar el número de datos generados por experimento (N=10 000). • Realizar ~ 100 experimentos para estudiar las “pull distribution” de los parámetros extraídos del fit.

More Related