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PlotFuncs.py
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PlotFuncs.py
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#================================PlotFuncs.py==================================#
# Created by Ciaran O'Hare 2020
# Description:
# This file has many functions which are used throughout the project, but are
# all focused around the bullshit that goes into making the plots
#==============================================================================#
from numpy import *
from numpy.random import *
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import matplotlib.gridspec as gridspec
from matplotlib.colors import ListedColormap
from matplotlib import colors
import matplotlib.ticker as mticker
from mpl_toolkits.axes_grid1 import make_axes_locatable
import matplotlib.cm as cm
from scipy.stats import norm
import matplotlib.patheffects as pe
pltdir = 'plots/'
pltdir_png = pltdir+'plots_png/'
#==============================================================================#
def col_alpha(col,alpha=0.1):
rgb = colors.colorConverter.to_rgb(col)
bg_rgb = [1,1,1]
return [alpha * c1 + (1 - alpha) * c2
for (c1, c2) in zip(rgb, bg_rgb)]
#==============================================================================#
def PlotBound(ax,filename,edgecolor='k',facecolor='crimson',alpha=1,lw=1.5,y2=1e10,zorder=0.1,
linestyle='-',skip=1,FillBetween=True,edgealpha=1,rescale_m=False,
scale_x=1,scale_y=1,start_x=0,end_x=nan,MinorEdgeScale=1.5,AddMinorEdges=False):
dat = loadtxt(filename)
if end_x/end_x==1:
dat = dat[start_x:end_x,:]
else:
dat = dat[start_x:,:]
dat[:,0] *= scale_x
dat[:,1] *= scale_y
if rescale_m:
dat[:,1] = dat[:,1]/dat[:,0]
if FillBetween:
ax.fill_between(dat[0::skip,0],dat[0::skip,1],y2=y2,color=facecolor,alpha=alpha,zorder=zorder,lw=0)
else:
ax.fill(dat[0::skip,0],dat[0::skip,1],color=facecolor,alpha=alpha,zorder=zorder,lw=0)
ax.plot(dat[0::skip,0],dat[0::skip,1],color=edgecolor,zorder=zorder,lw=lw,linestyle=linestyle,alpha=edgealpha)
if skip>1:
ax.plot([dat[-2,0],dat[-1,0]],[dat[-2,1],dat[-1,1]],color=edgecolor,zorder=zorder,lw=lw,linestyle=linestyle,alpha=edgealpha)
if AddMinorEdges:
ax.plot([dat[-1,0],dat[-1,0]],[dat[-1,1],MinorEdgeScale*dat[-1,1]],color=edgecolor,zorder=zorder,lw=lw,linestyle=linestyle,alpha=edgealpha)
ax.plot([dat[0,0],dat[0,0]],[dat[0,1],MinorEdgeScale*dat[0,1]],color=edgecolor,zorder=zorder,lw=lw,linestyle=linestyle,alpha=edgealpha)
return
def line_background(lw,col):
return [pe.Stroke(linewidth=lw, foreground=col), pe.Normal()]
def FilledLimit(ax,dat,text_label='',col='ForestGreen',edgecolor='k',zorder=1,linestyle='-',\
lw=2,y2=1e0,edgealpha=0.6,text_on=False,text_pos=[0,0],\
ha='left',va='top',clip_on=True,fs=15,text_col='k',rotation=0,facealpha=1,path_effects=None,textalpha=1):
plt.fill_between(dat[:,0],dat[:,1],y2=y2,edgecolor=None,facecolor=col,alpha=facealpha,zorder=zorder)
plt.plot(dat[:,0],dat[:,1],linestyle=linestyle,color=edgecolor,alpha=edgealpha,zorder=zorder,lw=lw)
if text_on:
plt.text(text_pos[0],text_pos[1],text_label,fontsize=fs,color=text_col,\
ha=ha,va=va,clip_on=clip_on,rotation=rotation,rotation_mode='anchor',path_effects=path_effects,alpha=textalpha)
return
def UnfilledLimit(ax,dat,text_label='',col='ForestGreen',edgecolor='k',zorder=1,\
lw=2,y2=1e0,edgealpha=0.6,text_on=False,text_pos=[0,0],\
ha='left',va='top',clip_on=True,fs=15,text_col='k',rotation=0,facealpha=1,\
linestyle='--'):
plt.plot(dat[:,0],dat[:,1],linestyle=linestyle,color=edgecolor,alpha=edgealpha,zorder=zorder,lw=lw)
if text_on:
plt.text(text_pos[0],text_pos[1],text_label,fontsize=fs,color=text_col,\
ha=ha,va=va,clip_on=clip_on,rotation=rotation,rotation_mode='anchor')
return
# Black hole superradiance constraints on the axion mass
# can be used for any coupling
def BlackHoleSpins(ax,C,label_position,whichfile='Mehta',fs=20,col='k',alpha=0.4,\
PlotLine=True,rotation=90,linecolor='k',facecolor='k',text_col='k',text_on=True,zorder=0.1):
y2 = ax.get_ylim()[-1]
# arxiv: 2009.07206
# BH = loadtxt("limit_data/BlackHoleSpins.txt")
# if PlotLine:
# plt.plot(BH[:,0],BH[:,1],color=col,lw=3,alpha=min(alpha*2,1),zorder=0)
# plt.fill_between(BH[:,0],BH[:,1],y2=0,edgecolor=None,facecolor=col,zorder=0,alpha=alpha)
# if text_on:
# plt.text(label_position[0],label_position[1],r'{\bf Black hole spins}',fontsize=fs,color=text_col,\
# rotation=rotation,ha='center',rotation_mode='anchor')
# arxiv: 2011.11646
dat = loadtxt('limit_data/fa/BlackHoleSpins_'+whichfile+'.txt')
dat[:,1] = dat[:,1]*C
plt.fill_between(dat[:,0],dat[:,1],y2=0,lw=3,alpha=alpha,color=facecolor,zorder=zorder)
if PlotLine:
plt.plot(dat[:,0],dat[:,1],'-',lw=3,alpha=0.7,color=linecolor,zorder=zorder)
if text_on:
plt.text(label_position[0],label_position[1],r'{\bf Black hole spins}',fontsize=fs,color=text_col,\
rotation=rotation,ha='center',rotation_mode='anchor')
return
def UpperFrequencyAxis(ax,N_Hz=1,tickdir='out',xtick_rotation=0,labelsize=25,xlabel=r"$\nu_a$ [Hz]",lfs=40,tick_pad=8,tfs=25,xlabel_pad=10):
m_min,m_max = ax.get_xlim()
ax2 = ax.twiny()
ax2.set_xlabel(xlabel,fontsize=lfs,labelpad=xlabel_pad)
ax2.set_xscale('log')
plt.xticks(rotation=xtick_rotation)
ax2.tick_params(labelsize=tfs)
ax2.tick_params(which='major',direction=tickdir,width=2.5,length=13,pad=tick_pad)
ax2.tick_params(which='minor',direction=tickdir,width=1,length=10)
locmaj = mpl.ticker.LogLocator(base=10.0, subs=(1.0, ), numticks=50)
locmin = mpl.ticker.LogLocator(base=10.0, subs=arange(2, 10)*.1,numticks=100)
ax2.xaxis.set_major_locator(locmaj)
ax2.xaxis.set_minor_locator(locmin)
ax2.xaxis.set_minor_formatter(mpl.ticker.NullFormatter())
ax2.set_xlim([m_min*241.8*1e12/N_Hz,m_max*241.8*1e12/N_Hz])
plt.sca(ax)
def UpperFrequencyAxis_Simple(ax,tickdir='out',xtick_rotation=0,labelsize=25,xlabel=None,lfs=40,tick_pad=8,tfs=25,xlabel_pad=10):
m_min,m_max = ax.get_xlim()
ax2 = ax.twiny()
ax2.set_xscale('log')
ax2.set_xlabel(xlabel,fontsize=lfs,labelpad=xlabel_pad)
ax2.tick_params(labelsize=tfs)
ax2.tick_params(which='major',direction=tickdir,width=2.5,length=13,pad=tick_pad)
ax2.tick_params(which='minor',direction=tickdir,width=1,length=10)
locmaj = mpl.ticker.LogLocator(base=10.0, subs=(1.0, ), numticks=50)
locmin = mpl.ticker.LogLocator(base=10.0, subs=arange(2, 10)*.1,numticks=100)
ax2.xaxis.set_major_locator(locmaj)
ax2.xaxis.set_minor_locator(locmin)
ax2.xaxis.set_minor_formatter(mpl.ticker.NullFormatter())
ax2.set_xticks(10.0**arange(-9,18))
ax2.set_xticklabels(['nHz','','',r'\textmu Hz','','','mHz','','','Hz','','','kHz','','','MHz','','','GHz','','','THz','','','PHz','','']);
ax2.set_xlim([m_min*241.8*1e12,m_max*241.8*1e12])
plt.sca(ax)
return
def AlternativeCouplingAxis(ax,scale=1,tickdir='out',labelsize=25,ylabel=r"$g_\gamma$ [GeV$^{-1}$]",lfs=40,tick_pad=8,tfs=25,ylabel_pad=60):
g_min,g_max = ax.get_ylim()
ax3 = ax.twinx()
ax3.set_ylim([g_min*scale,g_max*scale])
ax3.set_ylabel(ylabel,fontsize=lfs,labelpad=ylabel_pad,rotation=-90)
ax3.set_yscale('log')
ax3.tick_params(labelsize=tfs)
ax3.tick_params(which='major',direction=tickdir,width=2.5,length=13,pad=tick_pad)
ax3.tick_params(which='minor',direction=tickdir,width=1,length=10)
locmaj = mpl.ticker.LogLocator(base=10.0, subs=(1.0, ), numticks=50)
locmin = mpl.ticker.LogLocator(base=10.0, subs=arange(2, 10)*.1,numticks=100)
ax3.yaxis.set_major_locator(locmaj)
ax3.yaxis.set_minor_locator(locmin)
ax3.yaxis.set_minor_formatter(mpl.ticker.NullFormatter())
plt.sca(ax)
def FigSetup(xlab=r'$m_a$ [eV]',ylab='',\
g_min = 1.0e-19,g_max = 1.0e-6,\
m_min = 1.0e-12,m_max = 1.0e7,\
lw=2.5,lfs=45,tfs=25,tickdir='out',figsize=(16.5,11),\
Grid=False,Shape='Rectangular',\
mathpazo=False,TopAndRightTicks=False,majorticklength=13,minorticklength=10,\
xtick_rotation=20.0,tick_pad=8,x_labelpad=10,y_labelpad=10,\
FrequencyAxis=False,N_Hz=1,upper_xlabel=r"$\nu_a$ [Hz]",**freq_kwargs):
plt.rcParams['axes.linewidth'] = lw
plt.rc('text', usetex=True)
plt.rc('font', family='serif',size=tfs)
if mathpazo:
plt.rcParams.update({
"text.usetex": True,
"font.family": "serif",
"font.serif": ["Palatino"],
})
if Shape=='Wide':
fig = plt.figure(figsize=(16.5,5))
elif Shape=='Rectangular':
fig = plt.figure(figsize=(16.5,11))
elif Shape=='Square':
fig = plt.figure(figsize=(14.2,14))
elif Shape=='Custom':
fig = plt.figure(figsize=figsize)
ax = fig.add_subplot(111)
ax.set_xlabel(xlab,fontsize=lfs,labelpad=x_labelpad)
ax.set_ylabel(ylab,fontsize=lfs,labelpad=y_labelpad)
ax.tick_params(which='major',direction=tickdir,width=2.5,length=majorticklength,right=TopAndRightTicks,top=TopAndRightTicks,pad=tick_pad)
ax.tick_params(which='minor',direction=tickdir,width=1,length=minorticklength,right=TopAndRightTicks,top=TopAndRightTicks)
ax.set_yscale('log')
ax.set_xscale('log')
ax.set_xlim([m_min,m_max])
ax.set_ylim([g_min,g_max])
locmaj = mpl.ticker.LogLocator(base=10.0, subs=(1.0, ), numticks=50)
locmin = mpl.ticker.LogLocator(base=10.0, subs=arange(2, 10)*.1,numticks=100)
ax.xaxis.set_major_locator(locmaj)
ax.xaxis.set_minor_locator(locmin)
ax.xaxis.set_minor_formatter(mpl.ticker.NullFormatter())
locmaj = mpl.ticker.LogLocator(base=10.0, subs=(1.0, ), numticks=100)
locmin = mpl.ticker.LogLocator(base=10.0, subs=arange(2, 10)*.1,numticks=100)
ax.yaxis.set_major_locator(locmaj)
ax.yaxis.set_minor_locator(locmin)
ax.yaxis.set_minor_formatter(mpl.ticker.NullFormatter())
plt.xticks(rotation=xtick_rotation)
if Grid:
ax.grid(zorder=0)
if FrequencyAxis:
UpperFrequencyAxis(ax,N_Hz=N_Hz,tickdir='out',\
xtick_rotation=xtick_rotation,\
xlabel=upper_xlabel,\
lfs=lfs/1.3,tfs=tfs,tick_pad=tick_pad-2,**freq_kwargs)
return fig,ax
#==============================================================================#
class AxionPhoton():
def QCDAxion(ax,C_logwidth=10,KSVZ_on=True,DFSZ_on=True,cmap=cm.YlOrBr,fs=18,RescaleByMass=False,text_on=True,
thick_lines=False,C_center=1,C_width=0.8,
C_upper = 44/3-1.92,C_lower = abs(5/3-1.92),level_max = 4,nlevels=20,alpha=0.2,line_color='#a35c2f',
KSVZ_label_mass=1e-8,DFSZ_label_mass=5e-8,vmax=0.9):
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
## QCD Axion band:
g_min,g_max = ax.get_ylim()
m_min,m_max = ax.get_xlim()
# Mass-coupling relation
def g_x(C_ag,m_a):
return 2e-10*C_ag*m_a
KSVZ = 1.92
DFSZ = 0.75
if rs1==0:
# # Plot Band
# n = 200
# g = logspace(log10(g_min),log10(g_max),n)
# m = logspace(log10(m_min),log10(m_max),n)
# QCD = zeros(shape=(n,n))
# for i in range(0,n):
# QCD[:,i] = norm.pdf(log10(g)-log10(g_x(C_center,m[i])),0.0,C_width)
# cols = cm.get_cmap(cmap)
# cols.set_under('w') # Set lowest color to white
# vmin = amax(QCD)/(C_logwidth/4.6)
# plt.contourf(m, g, QCD, 50,cmap=cols,vmin=vmin,vmax=vmax,zorder=0)
# plt.contourf(m, g, QCD, 50,cmap=cols,vmin=vmin,vmax=vmax,zorder=0)
# plt.contourf(m, g, QCD, 50,cmap=cols,vmin=vmin,vmax=vmax,zorder=0)
# QCD axion hadronic band
m = array([1e-30,1e20])
ga = 2e-10*m
cols = cmap(linspace(0.1,0.45,nlevels))
levels = (linspace(1,sqrt(level_max),nlevels))**2
for i in range(nlevels-1):
ax.fill_between(m,C_upper*ga/levels[i],C_lower*ga*levels[i],alpha=alpha,color=cols[i,:],zorder=-1000,lw=0)
# QCD Axion models
rot = 45.0
trans_angle = plt.gca().transData.transform_angles(array((rot,)),array([[0, 0]]))[0]
m2 = array([1e-9,5e-8])
if KSVZ_on:
if thick_lines:
plt.plot(m,g_x(KSVZ,m),'-',linewidth=5,color='k',zorder=0)
plt.plot(m,g_x(KSVZ,m),'-',linewidth=3,color=line_color,zorder=0)
else:
plt.plot(m,g_x(KSVZ,m),'-',linewidth=2,color=line_color,zorder=0)
if text_on:
plt.text(KSVZ_label_mass,g_x(KSVZ,KSVZ_label_mass)*1.05,r'{\bf KSVZ}',fontsize=fs,rotation=trans_angle,color=line_color,ha='left',va='bottom',rotation_mode='anchor',clip_on=True)
if DFSZ_on:
if thick_lines:
plt.plot(m,g_x(DFSZ,m),'-',linewidth=5,color='k',zorder=0)
plt.plot(m,g_x(DFSZ,m),'-',linewidth=3,color=line_color,zorder=0)
else:
plt.plot(m,g_x(DFSZ,m),'-',linewidth=2,color=line_color,zorder=0)
if text_on:
plt.text(DFSZ_label_mass,g_x(DFSZ,DFSZ_label_mass)/1.5,r'{\bf DFSZ}',fontsize=fs,rotation=trans_angle,color=line_color,ha='left',va='top',rotation_mode='anchor',clip_on=True)
else:
# QCD axion hadronic band
m = array([1e-30,1e20])
ga = 2e-10*m
cols = cmap(linspace(0.1,0.45,nlevels))
levels = (linspace(1,sqrt(level_max),nlevels))**2
for i in range(nlevels-1):
ax.fill_between(m,C_upper/levels[i],C_lower*levels[i],alpha=alpha,color=cols[i,:],zorder=-1000,lw=0)
if DFSZ_on:
if thick_lines:
plt.plot([m_min,m_max],[0.75,0.75],'-',lw=5,color=line_color)
plt.plot([m_min,m_max],[0.75,0.75],'-',lw=3,color=line_color)
else:
plt.plot([m_min,m_max],[0.75,0.75],'-',lw=2,color=line_color)
if text_on:
plt.text(DFSZ_label_mass,0.75/3,r'{\bf DFSZ II}',fontsize=fs,color=line_color,clip_on=True)
if KSVZ_on:
if thick_lines:
plt.plot([m_min,m_max],[1.92,1.92],'-',lw=5,color=line_color)
plt.plot([m_min,m_max],[1.92,1.92],'-',lw=3,color=line_color)
else:
plt.plot([m_min,m_max],[1.92,1.92],'-',lw=2,color=line_color)
if text_on:
plt.text(KSVZ_label_mass,0.75/3,r'{\bf KSVZ}',fontsize=fs,color=line_color,clip_on=True)
return
def ADMX(ax,col=[0.8, 0.0, 0.0],projection=False,fs=15,RescaleByMass=False,text_on=True,text_shift=[1,1],zorder=0.1):
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
# 2018: arXiv[1804.05750]
# 2019: arXiv[1910.08638]
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/ADMX.txt")
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=zorder)
dat = loadtxt("limit_data/AxionPhoton/ADMX2018.txt")
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=zorder)
dat = loadtxt("limit_data/AxionPhoton/ADMX2019_1.txt")
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=zorder)
dat = loadtxt("limit_data/AxionPhoton/ADMX2019_2.txt")
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=zorder)
dat = loadtxt("limit_data/AxionPhoton/ADMX2021.txt")
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=zorder)
dat = loadtxt("limit_data/AxionPhoton/ADMX_Sidecar.txt")
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=zorder)
if projection:
# ADMX arXiv[1804.05750]
dat = loadtxt("limit_data/AxionPhoton/Projections/ADMX_Projected.txt")
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=0,alpha=0.1)
if text_on:
if rs1==0:
plt.text(1e-5*text_shift[0],2.3e-16*text_shift[1],r'{\bf ADMX}',fontsize=20,color=col,rotation=0,ha='left',va='top',clip_on=True)
plt.plot([3e-5,2e-5],[3e-16,0.6e-15],'k-',lw=1.5)
else:
plt.text(0.9e-6*text_shift[0],0.15*text_shift[1],r'{\bf ADMX}',fontsize=fs,color=col,rotation=0,ha='left',va='top',clip_on=True)
else:
if text_on:
if rs1==0:
plt.text(0.85e-6*text_shift[0],1e-13*text_shift[1],r'{\bf ADMX}',fontsize=fs,color=col,rotation=90,ha='left',va='top',clip_on=True)
else:
plt.gcf().text(0.39*text_shift[0],0.5*text_shift[1],r'{\bf ADMX}',rotation=90,color=col)
return
def RBF_UF(ax,col ='darkred',fs=13,RescaleByMass=False,text_on=True,text_shift=[1,1],zorder=0.1):
# UF: Phys. Rev. D42, 1297 (1990).
# RBF: Phys. Rev. Lett. 59, 839 (1987).
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/RBF_UF_Haloscopes.txt")
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=zorder)
if text_on:
if rs1==0:
plt.text(text_shift[0]*0.37e-5,text_shift[1]*0.8e-11,r'{\bf RBF+UF}',fontsize=fs,color='w',rotation=-90,ha='left',va='top',clip_on=True)
else:
plt.text(text_shift[0]*0.7e-5,text_shift[1]*4e3,r'{\bf RBF}',fontsize=fs,color='w',rotation=0,ha='center',va='top',clip_on=True)
plt.text(text_shift[0]*0.7e-5,text_shift[1]*1e3,r'{\bf UF}',fontsize=fs,color='w',rotation=0,ha='center',va='top',clip_on=True)
return
def HAYSTAC(ax,col=[0.88, 0.07, 0.37],fs=13,RescaleByMass=False,projection=True,text_on=True,text_shift=[1,1]):
# HAYSTAC arXiv:[1803.03690] and [2008.01853]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
zo = 3
else:
rs1 = 0.0
rs2 = 1.0
zo = 0
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/HAYSTAC.txt")
dat2 = loadtxt("limit_data/AxionPhoton/HAYSTAC_2020.txt")
dat3 = loadtxt("limit_data/AxionPhoton/HAYSTAC_2022.txt")
if rs1==0:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,zorder=zo,lw=2)
plt.plot([dat2[0,0],dat2[0,0]],[dat2[0,1]/(rs1*2e-10*dat2[0,0]+rs2),y2/(rs1*2e-10*dat2[0,0]+rs2)],color=col,zorder=zo,lw=2)
plt.fill_between(dat3[:,0],dat3[:,1]/(rs1*2e-10*dat3[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=zo)
if text_on:
if projection==False:
plt.text(text_shift[0]*2.1e-5,text_shift[0]*5e-13,r'{\bf HAYSTAC}',fontsize=fs,color=col,rotation=-90,ha='left',va='top',clip_on=True)
else:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color='k',zorder=zo,lw=4)
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,zorder=zo,lw=3)
plt.plot(dat[0,0],dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),'.',markersize=15,color=col,markeredgecolor='k',zorder=zo)
plt.plot([dat2[0,0],dat2[0,0]],[dat2[0,1]/(rs1*2e-10*dat2[0,0]+rs2),y2/(rs1*2e-10*dat2[0,0]+rs2)],color='k',zorder=zo,lw=4)
plt.plot([dat2[0,0],dat2[0,0]],[dat2[0,1]/(rs1*2e-10*dat2[0,0]+rs2),y2/(rs1*2e-10*dat2[0,0]+rs2)],color=col,zorder=zo,lw=3)
plt.text(text_shift[0]*dat2[0,0]*1.1,text_shift[1]*y2*1.2,r'{\bf HAYSTAC}',fontsize=fs,color=col,rotation=40,ha='left',rotation_mode='anchor')
plt.plot(dat2[0,0],dat2[0,1]/(rs1*2e-10*dat2[0,0]+rs2),'.',markersize=15,color=col,markeredgecolor='k',zorder=zo)
return
def TASEH(ax,col=[0.88, 0.07, 0.24],fs=13,RescaleByMass=False,projection=True,text_on=True,text_shift=[1,1]):
# TASEH https://arxiv.org/pdf/2205.05574.pdf
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
zo = 3
else:
rs1 = 0.0
rs2 = 1.0
zo = 0
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/TASEH.txt")
if rs1==0:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,zorder=zo,lw=2)
return
def CASTCAPP(ax,col=[0.88, 0.07, 0.24],fs=13,RescaleByMass=False,projection=True,text_on=True,text_shift=[1,1]):
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
zo = 3
else:
rs1 = 0.0
rs2 = 1.0
zo = 0
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/CAST-CAPP.txt")
if rs1==0:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,zorder=zo,lw=2)
return
def CAPP(ax,col=[1, 0.1, 0.37],fs=15,RescaleByMass=False,text_on=True,text_shift=[1,1]):
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
zo = 3
else:
rs1 = 0.0
rs2 = 1.0
zo = 0
dat = loadtxt("limit_data/AxionPhoton/CAPP-1.txt")
dat2 = loadtxt("limit_data/AxionPhoton/CAPP-2.txt")
dat3 = loadtxt("limit_data/AxionPhoton/CAPP-3.txt")
dat4 = loadtxt("limit_data/AxionPhoton/CAPP-4.txt")
dat5 = loadtxt("limit_data/AxionPhoton/CAPP-5.txt")
dat6 = loadtxt("limit_data/AxionPhoton/CAPP-6.txt")
dat7 = loadtxt("limit_data/AxionPhoton/CAPP-7.txt")
dat8 = loadtxt("limit_data/AxionPhoton/CAPP-8.txt")
dat9 = loadtxt("limit_data/AxionPhoton/CAPP-MAX.txt")
if rs1==0:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,zorder=zo,lw=3)
plt.fill_between(dat2[:,0],dat2[:,1]/(rs1*2e-10*dat2[0,0]+rs2),y2=y2,color=col,zorder=zo)
plt.fill_between(dat3[:,0],dat3[:,1]/(rs1*2e-10*dat3[0,0]+rs2),y2=y2,color=col,zorder=zo)
plt.fill_between(dat4[:,0],dat4[:,1]/(rs1*2e-10*dat4[0,0]+rs2),y2=y2,color=col,zorder=zo)
plt.fill_between(dat5[:,0],dat5[:,1]/(rs1*2e-10*dat5[0,0]+rs2),y2=y2,color=col,zorder=zo)
plt.fill_between(dat6[:,0],dat6[:,1]/(rs1*2e-10*dat6[0,0]+rs2),y2=y2,color=col,zorder=zo)
plt.fill_between(dat7[:,0],dat7[:,1]/(rs1*2e-10*dat7[0,0]+rs2),y2=y2,color=col,zorder=zo)
plt.fill_between(dat8[:,0],dat8[:,1]/(rs1*2e-10*dat8[0,0]+rs2),y2=y2,color=col,zorder=zo)
plt.fill_between(dat9[:,0],dat9[:,1]/(rs1*2e-10*dat9[0,0]+rs2),y2=y2,color=col,zorder=zo)
if text_on:
plt.text(text_shift[0]*0.8e-5,text_shift[1]*0.1e-13,r'{\bf CAPP}',fontsize=fs,color=col,rotation=90,ha='center',va='top',clip_on=True)
else:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color='k',zorder=zo,lw=4)
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,zorder=zo,lw=3)
if text_on:
plt.text(text_shift[0]*dat[0,0]*1.1,text_shift[1]*y2*1.8,r'{\bf CAPP}',fontsize=fs,color=col,rotation=40,ha='left',va='top',rotation_mode='anchor')
plt.plot(dat[0,0],dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),'.',markersize=15,color=col,markeredgecolor='k',zorder=zo)
imin = argmin(dat2[:,1])
plt.plot(dat2[imin,0],dat2[imin,1]/(rs1*2e-10*dat2[0,0]+rs2),'.',markersize=15,color=col,markeredgecolor='k',zorder=zo)
imin = argmin(dat3[:,1])
plt.plot(dat3[imin,0],dat3[imin,1]/(rs1*2e-10*dat3[0,0]+rs2),'.',markersize=15,color=col,markeredgecolor='k',zorder=zo)
plt.fill_between(dat2[:,0],dat2[:,1]/(rs1*2e-10*dat2[0,0]+rs2),y2=y2,color=col)
plt.fill_between(dat3[:,0],dat3[:,1]/(rs1*2e-10*dat3[0,0]+rs2),y2=y2,color=col)
plt.fill_between(dat4[:,0],dat4[:,1]/(rs1*2e-10*dat4[0,0]+rs2),y2=y2,color=col)
plt.fill_between(dat5[:,0],dat5[:,1]/(rs1*2e-10*dat5[0,0]+rs2),y2=y2,color=col)
plt.fill_between(dat6[:,0],dat6[:,1]/(rs1*2e-10*dat6[0,0]+rs2),y2=y2,color=col)
plt.fill_between(dat7[:,0],dat7[:,1]/(rs1*2e-10*dat7[0,0]+rs2),y2=y2,color=col)
plt.fill_between(dat8[:,0],dat8[:,1]/(rs1*2e-10*dat8[0,0]+rs2),y2=y2,color=col)
plt.fill_between(dat9[:,0],dat9[:,1]/(rs1*2e-10*dat9[0,0]+rs2),y2=y2,color=col)
return
def QUAX(ax,col='crimson',fs=13,RescaleByMass=False,text_on=True,text_shift=[1,1],projection=False):
# QUAX1 arXiv:[1903.06547]
# QUAX2 arXiv:[2012.09498]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
zo = 3
else:
rs1 = 0.0
rs2 = 1.0
zo = 0
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/QUAX.txt")
dat2 = loadtxt("limit_data/AxionPhoton/QUAX2.txt")
dat3 = loadtxt("limit_data/AxionPhoton/QUAX4.txt")
if rs1==0:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,lw=2,zorder=zo)
plt.plot([dat2[0,0],dat2[0,0]],[dat2[0,1]/(rs1*2e-10*dat2[0,0]+rs2),y2/(rs1*2e-10*dat2[0,0]+rs2)],color=col,lw=2,zorder=zo)
plt.fill_between(dat3[:,0],dat3[:,1]/(rs1*2e-10*dat3[:,0]+rs2),y2=y2,color=col,lw=2,zorder=zo)
if text_on:
plt.text(text_shift[0]*6.3e-5,text_shift[1]*0.05e-11,r'{\bf QUAX}',fontsize=fs,color=col,rotation=-90,ha='center',va='top',clip_on=True)
else:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color='k',lw=4,zorder=zo)
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,lw=3,zorder=zo)
plt.plot([dat2[0,0],dat2[0,0]],[dat2[0,1]/(rs1*2e-10*dat2[0,0]+rs2),y2/(rs1*2e-10*dat2[0,0]+rs2)],color='k',lw=4,zorder=zo)
plt.plot([dat2[0,0],dat2[0,0]],[dat2[0,1]/(rs1*2e-10*dat2[0,0]+rs2),y2/(rs1*2e-10*dat2[0,0]+rs2)],color=col,lw=3,zorder=zo)
plt.plot([dat3[0,0],dat3[0,0]],[dat3[0,1]/(rs1*2e-10*dat3[0,0]+rs2),y2/(rs1*2e-10*dat3[0,0]+rs2)],color='k',lw=4,zorder=zo)
plt.plot([dat3[0,0],dat3[0,0]],[dat3[0,1]/(rs1*2e-10*dat3[0,0]+rs2),y2/(rs1*2e-10*dat3[0,0]+rs2)],color=col,lw=3,zorder=zo)
if text_on:
plt.text(text_shift[0]*dat2[0,0]*1.2,text_shift[1]*y2*1.2,r'{\bf QUAX}',fontsize=fs,color=col,rotation=40,ha='left',rotation_mode='anchor')
plt.plot(dat[0,0],dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),'.',markersize=15,color=col,markeredgecolor='k',zorder=zo)
plt.plot(dat2[0,0],dat2[0,1]/(rs1*2e-10*dat2[0,0]+rs2),'.',markersize=15,color=col,markeredgecolor='k',zorder=zo)
if projection==True:
dat = loadtxt("limit_data/AxionPhoton/Projections/QUAX2005.txt")
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=0,alpha=0.2)
if rs1==1.0:
plt.text(2.5e-5,0.8e-1,r'{\bf QUAX}',color=col,fontsize=18)
plt.plot([4.0e-5,4.0e-5],[2.2e-1,2.1e0],'k-',lw=1.5)
return
def ABRACADABRA(ax,col=[0.83, 0.07, 0.37],fs=15,projection=False,RescaleByMass=False,text_on=True,lw=1,text_shift=[1,1],edgealpha=1):
# ABRACADABRA arXiv:[1810.12257]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/ABRACADABRA.txt")
n = shape(dat)[0]
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=2)
x = dat[arange(0,n,20),0]
y = dat[arange(0,n,20),1]
y[-1] = y2
plt.plot(x,y/(rs1*2e-10*x+rs2),'k-',lw=lw,zorder=2.01,alpha=edgealpha)
dat = loadtxt("limit_data/AxionPhoton/ABRACADABRA_run2.txt")
n = shape(dat)[0]
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=2.02)
x = dat[arange(0,n,1),0]
y = dat[arange(0,n,1),1]
y[-1] = y2
plt.plot(x,y/(rs1*2e-10*x+rs2),'k-',lw=lw,zorder=2.02,alpha=edgealpha)
if text_on:
if rs1==0:
plt.text(text_shift[0]*1.5e-9,text_shift[1]*3e-8,r'{\bf ABRA}',fontsize=fs,color='w',rotation=0,ha='center',va='top',zorder=10,clip_on=True,path_effects=line_background(1.5,'k'))
plt.text(text_shift[0]*1.5e-9,text_shift[1]*1e-8,r'10 cm',fontsize=fs,color='w',rotation=0,ha='center',va='top',zorder=10,clip_on=True,path_effects=line_background(1.5,'k'))
if projection:
dat = loadtxt("limit_data/AxionPhoton/Projections/ABRACADABRA.txt")
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=0,alpha=0.1)
if text_on:
if rs1==0:
plt.text(text_shift[0]*5e-12,text_shift[1]*4e-18,r'{\bf ABRACADABRA}',fontsize=fs-1,color=col,rotation=13,ha='left',va='top',clip_on=True)
else:
plt.text(text_shift[0]*1.3e-9,text_shift[1]*1.0e2,r'{\bf ABRACADABRA}',fontsize=fs-1,color=col,rotation=0,ha='left',va='top',clip_on=True)
plt.plot([dat[-1,0],dat[-1,0]],[dat[-1,1]/(rs1*2e-10*dat[-1,0]+rs2),1e6],lw=1.5,color=col,zorder=0)
return
def DMRadio(ax,col=[0.83, 0.07, 0.37],fs=23,text_on=True,RescaleByMass=False,lw=2,text_shift=[1,1],linestyle='-',rotation=90):
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt('limit_data/AxionPhoton/Projections/DMRadio.txt')
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),linestyle=linestyle,linewidth=2,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=0,alpha=0.1)
if text_on:
if rs1==0:
plt.text(text_shift[0]*2e-10,text_shift[1]*0.05e-16,r'{\bf DM-Radio}',color='crimson',fontsize=20,rotation=rotation,clip_on=True)
else:
plt.text(text_shift[0]*5e-9,text_shift[1]*4.0e-1,r'{\bf DM-Radio}',fontsize=fs-1,color=col,rotation=0,ha='left',va='top',clip_on=True)
return
def SRF(ax,col=[0.83, 0.07, 0.37],fs=20,text_on=True,RescaleByMass=False,lw=2,text_shift=[1,1],linestyle='-',rotation=-40):
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt('limit_data/AxionPhoton/Projections/SRF.txt')
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),linestyle=linestyle,linewidth=2,color=col,zorder=0.0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=0.0,alpha=0.1)
if text_on:
if rs1==0:
plt.text(text_shift[0]*1.5e-11,text_shift[1]*0.7e-18,r'{\bf SRF-m$^3$}',color='crimson',fontsize=20,rotation=rotation,clip_on=True)
else:
plt.text(text_shift[0]*5e-9,text_shift[1]*4.0e-1,r'{\bf SRF-m$^3$}',fontsize=fs-1,color=col,rotation=0,ha='left',va='top',clip_on=True)
return
def WISPLC(ax,col=[0.8, 0.07, 0.37],fs=15,text_on=True,RescaleByMass=False,lw=2,text_shift=[1,1],linestyle='-',rotation=14):
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt('limit_data/AxionPhoton/Projections/WISPLC.txt')
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),linestyle=linestyle,linewidth=2,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=0,alpha=0.1)
if text_on:
if rs1==0:
plt.text(text_shift[0]*2e-11,text_shift[1]*8e-16,r'{\bf WISPLC}',color='crimson',fontsize=fs,rotation=rotation,clip_on=True)
else:
plt.text(text_shift[0]*1.5e-9,text_shift[1]*1.5e4,r'{\bf WISPLC}',fontsize=fs+1,color=col,rotation=-14,ha='left',va='top',clip_on=True)
return
def ORGAN(ax,col=[0.8, 0.0, 0.0],projection=False,fs=15,RescaleByMass=False,text_on=True,text_shift=[1,1],lw=0.5):
# ORGAN arXiv[1706.00209]
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
zo = 6
else:
rs1 = 0.0
rs2 = 1.0
zo = 0
dat = loadtxt("limit_data/AxionPhoton/ORGAN.txt")
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=col,facecolor=col,zorder=0.1,lw=1)
dat2 = loadtxt("limit_data/AxionPhoton/ORGAN-1a.txt")
plt.fill_between(dat2[:,0],dat2[:,1]/(rs1*2e-10*dat2[:,0]+rs2),y2=y2,edgecolor='k',facecolor=col,zorder=0.1,lw=lw)
dat2 = loadtxt("limit_data/AxionPhoton/ORGAN-1b.txt")
plt.fill_between(dat2[:,0],dat2[:,1]/(rs1*2e-10*dat2[:,0]+rs2),y2=y2,edgecolor='k',facecolor=col,zorder=0.1,lw=lw)
if projection:
dat = loadtxt("limit_data/AxionPhoton/Projections/ORGAN_Projected.txt")
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=0,alpha=0.2)
if text_on:
if rs1==0:
plt.text(text_shift[0]*5e-4,text_shift[1]*1.15e-14,r'{\bf ORGAN}',fontsize=18,color=col,rotation=0,ha='left',va='top',clip_on=True)
plt.plot([5e-4,1.5e-4],[1.3e-14,6e-13],'k-',lw=1.5)
else:
plt.text(text_shift[0]*1.2e-4,text_shift[1]*1e3,r'{\bf ORGAN}',fontsize=18,color='darkred',rotation=-90,ha='left',va='top',clip_on=True)
else:
if RescaleByMass:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color='k',lw=4,zorder=zo)
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,lw=1,zorder=zo)
if RescaleByMass:
plt.plot(dat[0,0],dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),'.',markersize=15,color=col,markeredgecolor='k',zorder=zo)
if text_on:
if rs1==0:
plt.text(text_shift[0]*110e-6,text_shift[1]*3e-11,r'{\bf ORGAN}',fontsize=fs,color=col,rotation=-90,ha='left',va='top',clip_on=True)
else:
plt.text(text_shift[0]*dat[0,0]*1.1,text_shift[1]*y2*1.2,r'{\bf ORGAN}',fontsize=fs-3,color=col,rotation=40,ha='left',rotation_mode='anchor')
plt.text(text_shift[0]*6e-5,text_shift[1]*1e2,r'{\bf ORGAN}',fontsize=fs-6,color=col,rotation=90,ha='left',rotation_mode='anchor')
return
def RADES(ax,col='blueviolet',fs=15,RescaleByMass=False,text_on=True,text_shift=[1,1]):
# RADES 2104.13798
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
zo = 6
else:
rs1 = 0.0
rs2 = 1.0
zo = 0
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/RADES.txt")
dat2 = loadtxt("limit_data/AxionPhoton/RADES2.txt")
if rs1==0:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,lw=2,zorder=zo)
plt.plot([dat2[0,0],dat2[0,0]],[dat2[0,1]/(rs1*2e-10*dat2[0,0]+rs2),y2/(rs1*2e-10*dat2[0,0]+rs2)],color=col,lw=2,zorder=zo)
else:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color='k',lw=4,zorder=zo)
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,lw=3,zorder=zo)
plt.plot([dat2[0,0],dat2[0,0]],[dat2[0,1]/(rs1*2e-10*dat2[0,0]+rs2),y2/(rs1*2e-10*dat2[0,0]+rs2)],color=col,lw=3,zorder=zo)
if text_on:
plt.text(text_shift[0]*dat[0,0]*0.88,text_shift[1]*y2*1.2,r'{\bf RADES}',fontsize=fs,color=col,rotation=40,ha='left',rotation_mode='anchor')
plt.plot(dat[0,0],dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),'.',markersize=15,color=col,markeredgecolor='k',zorder=zo)
return
def GrAHal(ax,col='#b53e5a',fs=15,RescaleByMass=False,text_on=True,text_shift=[1,1]):
# Grenoble haloscope 2110.14406
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
zo = 6
else:
rs1 = 0.0
rs2 = 1.0
zo = 0
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/GrAHal.txt")
if rs1==0:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,lw=2,zorder=zo)
else:
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color='k',lw=4,zorder=zo)
plt.plot([dat[0,0],dat[0,0]],[dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),y2/(rs1*2e-10*dat[0,0]+rs2)],color=col,lw=3,zorder=zo)
if text_on:
plt.text(text_shift[0]*dat[0,0]*0.88,text_shift[1]*y2*1.2,r'{\bf GrAHal}',fontsize=fs,color=col,rotation=40,ha='left',rotation_mode='anchor')
plt.plot(dat[0,0],dat[0,1]/(rs1*2e-10*dat[0,0]+rs2),'.',markersize=15,color=col,markeredgecolor='k',zorder=zo)
return
def MADMAX(ax,col='darkred',fs=18,RescaleByMass=False,text_on=True,text_shift=[1,1]):
# MADMAX arXiv[2003.10894]
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt("limit_data/AxionPhoton/Projections/MADMAX.txt")
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=0,alpha=0.2)
if text_on:
if rs1==0:
plt.text(text_shift[0]*1.5e-4,text_shift[1]*4.5e-15,r'{\bf MADMAX}',fontsize=18,color=col,rotation=0,ha='left',va='top',clip_on=True)
plt.plot([3e-4,1.3e-4],[5.5e-15,2.6e-14],'k-',lw=1.5)
else:
plt.text(text_shift[0]*5e-5,text_shift[1]*3.5e0,r'{\bf MADMAX}',fontsize=14,color=col,rotation=0,ha='left',va='top',clip_on=True)
return
def DALI(ax,col='darkred',fs=18,RescaleByMass=False,text_on=True,text_shift=[1,1]):
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt("limit_data/AxionPhoton/Projections/DALI.txt")
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=2,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=0,alpha=0.2)
if text_on:
if rs1==0:
plt.text(text_shift[0]*1.0e-4,text_shift[1]*0.6e-15,r'{\bf DALI}',fontsize=18,color=col,rotation=0,ha='left',va='top',clip_on=True)
plt.plot([0.9e-4,0.32e-4],[0.6e-15,0.4e-14],'k-',lw=1.5)
else:
plt.text(text_shift[0]*1.3e-4,text_shift[1]*6e-1,r'{\bf DALI}',fontsize=fs/1.3,color=col,rotation=20,ha='center',va='top',clip_on=True)
#plt.text(2.3e-4,2e-1,r'{\bf haloscope}',fontsize=fs,color=col,rotation=0,ha='center',va='top')
return
def ALPHA(ax,col='darkred',fs=18,RescaleByMass=False,text_on=True,text_shift=[1,1]):
# Plasma Haloscope arXiv[1904.11872]
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt("limit_data/AxionPhoton/Projections/ALPHA.txt")
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=2,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,edgecolor=None,facecolor=col,zorder=0,alpha=0.2)
if text_on:
if rs1==0:
plt.text(text_shift[0]*1.4e-4,text_shift[1]*1.6e-15,r'{\bf ALPHA}',fontsize=18,color=col,rotation=0,ha='left',va='top',clip_on=True)
plt.plot([1.4e-4,0.6e-4],[1.6e-15,0.9e-14],'k-',lw=1.5)
else:
plt.text(text_shift[0]*2.3e-4,text_shift[1]*5e-1,r'{\bf ALPHA}',fontsize=fs,color=col,rotation=0,ha='center',va='top',clip_on=True)
#plt.text(2.3e-4,2e-1,r'{\bf haloscope}',fontsize=fs,color=col,rotation=0,ha='center',va='top')
return
def FLASH(ax,col='darkred',fs=15,RescaleByMass=False,text_on=True,text_shift=[1,1]):
# FLASH https://indico.cern.ch/event/1115163/
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt("limit_data/AxionPhoton/Projections/FLASH.txt")
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,facecolor=col,zorder=0,alpha=0.3)
if text_on:
if rs1==0:
plt.text(text_shift[0]*2.5e-6,text_shift[1]*0.45e-16,r'{\bf FLASH}',fontsize=20,color=col,rotation=0,ha='left',va='top',clip_on=True)
plt.plot([1.2e-6,2.5e-6],[5e-16,0.6e-16],'k-',lw=1.5)
else:
plt.text(text_shift[0]*3e-7,text_shift[1]*3e0,r'{\bf FLASH}',rotation=90,fontsize=fs,color=col,ha='left',va='top',rotation_mode='anchor',clip_on=True)
return
def BabyIAXO_RADES(ax,col='darkred',fs=15,RescaleByMass=False,text_on=True,text_shift=[1,1]):
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt("limit_data/AxionPhoton/Projections/BabyIAXO_RADES.txt")
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,facecolor=col,zorder=0,alpha=0.3)
if text_on:
if rs1==0:
plt.text(text_shift[0]*2.5e-6,text_shift[1]*0.45e-16,r'{\bf FLASH}',fontsize=20,color=col,rotation=0,ha='left',va='top',clip_on=True)
plt.plot([1.2e-6,2.5e-6],[5e-16,0.6e-16],'k-',lw=1.5)
else:
plt.text(text_shift[0]*3e-7,text_shift[1]*3e0,r'{\bf FLASH}',rotation=90,fontsize=fs,color=col,ha='left',va='top',rotation_mode='anchor',clip_on=True)
return
def CADEx(ax,col='firebrick',fs=15,RescaleByMass=False,text_on=True,text_shift=[1,1]):
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt("limit_data/AxionPhoton/Projections/CADEx.txt")
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,facecolor=col,zorder=0,alpha=0.1)
if text_on:
if rs1==0:
plt.text(text_shift[0]*1.1e-3,text_shift[1]*0.35e-13,r'{\bf CADEx}',fontsize=18,color=col,rotation=0,ha='left',va='top',clip_on=True)
plt.plot([1.3e-3,0.4e-3],[0.45e-13,2e-12],'k-',lw=1.5)
else:
plt.text(text_shift[0]*5e-4,text_shift[1]*1e2,r'{\bf CADEx}',fontsize=fs,rotation=-90,color=col,clip_on=True)
return
def BRASS(ax,col='darkred',fs=15,RescaleByMass=False,text_on=True,text_shift=[1,1]):
# BRASS http://www.iexp.uni-hamburg.de/groups/astroparticle/brass/brassweb.htm
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt("limit_data/AxionPhoton/Projections/BRASS.txt")
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,facecolor=col,zorder=0,alpha=0.1)
if text_on:
if rs1==0:
plt.text(text_shift[0]*2.4e-3,text_shift[1]*0.98e-13,r'{\bf BRASS}',fontsize=18,color=col,rotation=0,ha='left',va='top',clip_on=True)
plt.plot([2.1e-3,0.7e-3],[0.95e-13,1.9e-12],'k-',lw=1.5)
else:
plt.text(text_shift[0]*0.45e-3,text_shift[1]*1e1,r'{\bf BRASS}',fontsize=20,rotation=9,color=col,clip_on=True)
return
def BREAD(ax,col='firebrick',fs=15,RescaleByMass=False,text_on=True,text_shift=[1,1]):
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt("limit_data/AxionPhoton/Projections/BREAD.txt")
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,facecolor=col,zorder=0,alpha=0.1)
if text_on:
if rs1==0:
plt.text(text_shift[0]*7e-3,text_shift[1]*2.5e-13,r'{\bf BREAD}',fontsize=18,color=col,rotation=0,ha='left',va='top',clip_on=True)
plt.plot([5.5e-3,3e-3],[1.9e-13,2.9e-13],'k-',lw=1.5)
else:
plt.text(text_shift[0]*2e-3,text_shift[1]*1e-1,r'{\bf BREAD}',fontsize=18,rotation=0,color=col,clip_on=True)
return
def TOORAD(ax,col=[0.8, 0.1, 0.2],fs=15,RescaleByMass=False,text_on=True,text_shift=[1,0.5]):
# TOORAD arXiv[1807.08810]
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt("limit_data/AxionPhoton/Projections/TOORAD.txt")
dat[:,0] *= 1e-3
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,facecolor=col,zorder=0,alpha=0.1)
if text_on:
if rs1==0:
plt.text(text_shift[0]*0.7e-2,text_shift[1]*3e-11,r'{\bf TOO}',fontsize=12,ha='center',color=col,clip_on=True)
plt.text(text_shift[0]*0.7e-2,text_shift[1]*1.5e-11,r'{\bf RAD}',fontsize=12,ha='center',color=col,clip_on=True)
else:
#plt.text((1-0.05)*text_shift[0]*0.25e-2,(1+0.05)*text_shift[1]*0.3e2,r'{\bf TOORAD}',fontsize=18,rotation=-21,color='k',clip_on=True)
plt.text(text_shift[0]*0.25e-2,text_shift[1]*0.3e2,r'{\bf TOORAD}',fontsize=18,rotation=-21,color=col,clip_on=True,path_effects=line_background(1,'k'))
return
def LAMPOST(ax,col=[0.8, 0.1, 0.2],fs=15,RescaleByMass=False,text_on=True,text_shift=[1,1],rotation=55):
# LAMPOST arXiv[1803.11455]
y2 = ax.get_ylim()[1]
if RescaleByMass:
rs1 = 1.0
rs2 = 0.0
else:
rs1 = 0.0
rs2 = 1.0
dat = loadtxt("limit_data/AxionPhoton/Projections/LAMPOST.txt",delimiter=',')
plt.plot(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1]/(rs1*2e-10*dat[:,0]+rs2),y2=y2,facecolor=col,zorder=0,alpha=0.1)
if text_on:
if rs1==0:
plt.text(text_shift[0]*1.55e-1,text_shift[1]*3.5e-11,r'{\bf LAMPOST}',rotation=rotation,fontsize=fs,color=col,ha='left',va='top',clip_on=True)
else:
plt.text(text_shift[0]*0.9e-1,text_shift[1]*1.9e-1,r'{\bf LAMPOST}',rotation=0,fontsize=fs,color=col,ha='left',va='top',clip_on=True)
return
# Low mass ALP haloscopes
def DANCE(ax,col=[0.8, 0.1, 0.2],fs=14,text_on=True,text_pos=[1.5e-12,1.7e-13],linestyle='-',rotation=50):
# DANCE arXiv[1911.05196]
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/Projections/DANCE.txt")
plt.plot(dat[:,0],dat[:,1],linestyle=linestyle,linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1],y2=y2,facecolor=col,zorder=0,alpha=0.1)
if text_on:
plt.text(text_pos[0],text_pos[1],r'{\bf DANCE}',rotation=rotation,fontsize=fs,color=col,ha='left',va='top',clip_on=True)
return
def aLIGO(ax,col=[0.8, 0.1, 0.2],fs=15,text_on=True,text_pos=[0.2e-9,0.35e-13],linestyle='-',rotation=0):
# aLIGO arXiv[1903.02017]
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/Projections/aLIGO.txt")
plt.plot(dat[:,0],dat[:,1],linestyle=linestyle,linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1],y2=y2,facecolor=col,zorder=0,alpha=0.1)
if text_on:
plt.text(text_pos[0],text_pos[1],r'{\bf aLIGO}',rotation=rotation,fontsize=fs,color=col,ha='left',va='top',clip_on=True)
return
def ADBC(ax,col=[0.8, 0.1, 0.2],fs=14,text_on=True,text_pos=[2e-11,0.6e-12],rotation=26):
# ADBC arXiv[1809.01656]
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/Projections/ADBC.txt")
plt.plot(dat[:,0],dat[:,1],'-',linewidth=1.5,color=col,zorder=0)
plt.fill_between(dat[:,0],dat[:,1],y2=y2,facecolor=col,zorder=0,alpha=0.1)
if text_on:
plt.text(text_pos[0],text_pos[1],r'{\bf ADBC}',rotation=rotation,fontsize=fs,color=col,ha='left',va='top',clip_on=True)
return
def ADBC1(ax,col='red',fs=12,text_on=True,lw=1,text_pos=[0.3e-7,3e-8],rotation=90,zorder=0.8,edgealpha=1):
y2 = ax.get_ylim()[1]
dat = loadtxt("limit_data/AxionPhoton/ADBC.txt")
n = shape(dat)[0]
x = dat[arange(0,n,2),0]
y = dat[arange(0,n,2),1]
y[-1] = y2
plt.plot(x,y,'k-',lw=lw,zorder=1.81,alpha=edgealpha)
plt.fill_between(dat[:,0],dat[:,1],y2=y2,edgecolor=None,facecolor=col,zorder=zorder)
if text_on:
plt.text(text_pos[0],text_pos[1],r'{\bf ADBC}',fontsize=fs,color='w',rotation=rotation,ha='center',va='top',clip_on=True,path_effects=line_background(1.5,'k'))
return
def SHAFT(ax,col='red',fs=16,text_on=True,lw=1,text_pos=[0.8e-10,3e-10],rotation=0,zorder=1.8,edgealpha=1):
# SHAFT arXiv:[2003.03348]