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| class THDM: | |
| ''' | |
| All parameters in the several basis with functions to get the missing ones | |
| th=THDM() | |
| self.general -> dict with general | |
| ''' | |
| import numpy as np | |
| def __init__(self): | |
| #general |
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| def test_casasibarra(): | |
| ci={'MH0':53.,'MH':125.3,'MA0':120.,'MH1':130.,'La2':0.01,'LaL':0.001,'Mtr01':91.,\ | |
| 'Mtr02':92.,'Mtr03':93,'Mtrch1': 91.8,'Mtrch2': 92.8, 'Mtrch3': 93.8} | |
| #mnu1in,Dms2,Dma2,ThetSol,ThetAtm,ThetRec=neutrino_data() | |
| #Mnuin=np.array([mnu1in,np.sqrt(Dms2[1]+mnu1in**2),np.sqrt(Dma2[1]+mnu1in**2)]) | |
| mnu1in=1E-5 | |
| h,U,Mnuin,phases=casasibarra(ci,norotate1=True,norotate2=True,norotate3=True,bestfit=True,\ | |
| nophases=True,min_nulight=mnu1in,max_nulight=mnu1in) |
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| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| import argparse | |
| import sys | |
| if __name__ == '__main__': | |
| # create the parser | |
| parser = argparse.ArgumentParser( | |
| description='''Calcula el valor de la descarga académica |
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| url='http://inspirehep.net/search?ln=en&ln=en&p=find++d+>+2015-11-07+and+primarch+hep-ph' |
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| def casasibarra(di,ranMnu=False): | |
| """ | |
| di.keys()-> ['MH0','MA0','Mtr01','Mtr02','Mtr03',] | |
| """ | |
| MH0=di['MH0'];MA0=di['MA0'];Mtr01=di['Mtr01'];Mtr02=di['Mtr02'];Mtr03=di['Mtr03'] | |
| mnu1in,Dms2,Dma2,ThetSol,ThetAtm,ThetRec=neutrino_data() | |
| #Nupa r= min, best_fit, max | |
| #Thesol=np.array([0.278, 0.323, 0.375]) |
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| #include <Servo.h> | |
| Servo myservo; | |
| Servo myservo2; | |
| const int sensor = 2; | |
| const int ledr= 12; | |
| const int ledv = 13; | |
| int pos = 0; | |
| void setup() |
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| def Fme(x,xmin=0.996,xmax=1.005,xfit=1.001): | |
| """Fixing near to one values | |
| xmin: close to 1 from below | |
| xmax: close to 1 from above | |
| xfit: optimized 1 limit | |
| """ | |
| x=np.asarray(x) | |
| if x.shape: | |
| x[np.logical_and(x>xmin,x<xmax)]=xfit | |
| else: |
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