arxiv_id stringlengths 0 16 | text stringlengths 10 1.65M |
|---|---|
def modelfit(alg, dtrain, predictors, performCV=True, printFeatureImportance=True, cv_folds=5):
import numpy as np
import pandas as pd
from sklearn.model_selection import cross_val_score
from sklearn import metrics
import matplotlib.pylab as plt
from matplotlib.pylab import rcParams
rcPara... | |
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the PyMVPA package for the
# copyright and license terms.
#
### ### ### ### ###... | |
import ngl
import numpy as np
from hdff import *
import hdtopology as hdt
n = 1000
d = 3
sample = np.random.uniform(-1.0,1.0,n*d).astype('f')
sample = sample.reshape(n, d)
###### test function ######
def ackley(domain, d=3):
# print "domain", domain.shape
Sum = np.zeros(domain.shape[0], dtype=float)
for i... | |
# This file contains a short example of the evaluation process
# including training and testing.
# Author: Stefan Kahl, 2018, Chemnitz University of Technology
import os
import numpy as np
import config as cfg
from model import lasagne_net as birdnet
from model import lasagne_io as io
from utils import stats
from uti... | |
#!/usr/bin/env python
# coding: utf-8
# # CE-40717: Machine Learning
# ## HW5-Support Vector Machine
# ### Please fill this part
#
#
# 1. Full Name: AmirPourmand
# 2. Student Number: 99210259
#
#
# *You are just allowded to change those parts that start with "TO DO". Please do not change other parts.*
#
# *... | |
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 9 13:48:37 2020
@author: bensr
"""
import sys
from neuron import h, gui
import numpy as np
import matplotlib.pyplot as plt
h.load_file("runModel.hoc")
param_list = np.loadtxt('./params/params.csv')
pc = h.ParallelContext()
h.dt = 0.1
ntimesteps = 3168
tstop = ntimesteps... | |
import numpy as np
import torch
def compute_border_indices(J, i0, i1):
"""
Computes border indices at all scales which correspond to the original
signal boundaries after padding.
At the finest resolution,
original_signal = padded_signal[..., i0:i1].
This function finds the integers i0, i1 for... | |
'''
Copyright (c) 2020, Martel Lab, Sunnybrook Research Institute
Description: This code will convert an SQL .csv file that has reports
seperated into indidual text lines into a .csv of individual reports.
Input: saved .csv file of sql database needed to be converted.
Output: a .csv file of the input file with Lines ... | |
'''
Comparing single layer MLP with deep MLP (using TensorFlow)
'''
import tensorflow as tf
import numpy as np
import pickle
import timeit
start = timeit.default_timer()
# Create model
# Add more hidden layers to create deeper networks
# Remember to connect the final hidden layer to the out_layer
def create_multilaye... | |
# -*- coding: utf-8 -*-
"""
This is the original file that the client sent me.
When I (Omar Trejo) solved this problem, I chose
not to reuse this code, and start from scratch.
"""
import wave
import numpy as np
import matplotlib.pyplot as plt
#import utility
import scipy
import scipy.signal
import numba
import scipy... | |
from collections import namedtuple
import numpy as np
import talib
from jesse.helpers import get_candle_source
from jesse.helpers import slice_candles
MAMA = namedtuple('MAMA', ['mama', 'fama'])
def mama(candles: np.ndarray, fastlimit: float = 0.5, slowlimit: float = 0.05, source_type: str = "close",
sequ... | |
def add_ellipse(ax, scores, group, comp1 = 0, comp2 = 1, palette=None, alpha=0.95, **kwargs):
"""Add ellipses to a PCA ordination plot based on categorical variables. The indexes of scores and group must match.
Parameters
----------
ax : matplotlib axes
The axis of the plot
score... | |
import pytest
import os,shutil,sys
import numpy as np
from mpi4py import MPI
from pypospack.pyposmat.data import PyposmatConfigurationFile
from pypospack.pyposmat.engines import PyposmatIterativeSampler
pyposmat_data_dir = 'data'
config_fn = os.path.join(pyposmat_data_dir,'pyposmat.config.in')
def test__initialize_... | |
"""Objects that hold timeseries objects defined over multiple locations."""
import datetime
from dataclasses import dataclass, field, fields, replace
from typing import Dict, Optional, Tuple, Union
import numpy as np
import pandas as pd
from loguru import logger
from .._typing import ArrayLike, PathLike
from ..numeri... | |
import numpy as np
from PIL import Image
from random import randint, choice
# im = Image.open('./data/bank-2.png')
# a = np.asarray(im)
# print(a.shape)
colors = [
[222, 193, 158],
[206, 181, 146],
[195, 174, 137],
[185, 168, 131],
[199, 179, 139],
[212, 193, 135],
[212, 208, 159],
... | |
"""
SCRIPT TO CONVERT WRITE CHARMM RTF AND PRM FILES
FROM BOSS ZMATRIX
Created on Mon Feb 15 15:40:05 2016
@author: Leela S. Dodda leela.dodda@yale.edu
@author: William L. Jorgensen Lab
Usage: python OPM_Routines.py -z phenol.z -r PHN
REQUIREMENTS:
BOSS (need to set BOSSdir in bashrc and cshrc)
Preferably Anaconda p... | |
"""
@Time : 2021/9/21 2:08
@File : bciciv2.py
@Software: PyCharm
@Desc :
"""
import os
import warnings
from typing import List
import numpy as np
import scipy.io as sio
import torch
import torch.nn as nn
from tqdm.std import tqdm
from torch.utils.data import Dataset
from .utils import minmax_scale, standard... | |
""" Utilities for aiding in testing.
Not tests of utilities... That could be confusing."""
import os.path
import numpy as np
import pandas as pd
from chardet.universaldetector import UniversalDetector
import pysd
def runner(model_file):
directory = os.path.dirname(model_file)
# load model
if model_fil... | |
import pandas as pd
import numpy as np
from typing import Dict, List
from collections import Counter
import collections
import csv
import itertools
import os.path
import random
# for reproducable results, remove when re-running for different results
# random.seed(42)
np.set_printoptions(suppress=True)
class Suitor(o... | |
import tensorflow as tf
import logging
import numpy as np
from . import feature_generation
from . import feature_utilities
import six
def input_fn(
metadata,
filenames,
num_features,
max_time_delta,
window_size,
min_timeslice_size,
... | |
# This file implements a flask server for inference. You can modify the file to align with your own inference logic.
from __future__ import print_function
import io
import json
import os
import pickle
import signal
import sys
import traceback
import flask
from flask import request
import tensorflow_hub as hub
impor... | |
#!/usr/bin/env python
# coding: utf-8
# # Lexical normalization pipeline
#
# author - AR Dirkson
# date - 15-7-2019
#
# Python 3 script
#
# This pipeline takes raw text data and performs:
# - Removes URLs, email addresses
# - Tokenization with NLTK
# - Removes non_English posts (conservatively) usin... | |
import csv
import numpy as np
import pickle
import random
import tensorflow as tf
import os
import sys
from data_generator import DataGenerator
from sl import SupervisedLearning
from tensorflow.python.platform import flags
from constants import *
from tensorflow.python.client import timeline
from data_p... | |
import warnings
from collections import Counter
from typing import Any, Dict, List, Optional, Tuple, Union
import numpy as np
import torch
import torch.nn as nn
import torchvision
from sentence_transformers import SentenceTransformer
from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer... | |
import logging
import os
import numpy as np
import torch
import torchvision
from PIL import Image
from torch.utils.data import SubsetRandomSampler, Subset, Dataset
from torchvision.transforms import transforms
from sklearn.model_selection import StratifiedShuffleSplit
from theconf import Config as C
from archive impo... | |
#!/usr/bin/env
"""
@author: briantaylor
@author: giladgoldfarb
@author: jeanluc-auge
Transmission setup example:
reads from network json (default = examples/edfa/edfa_example_network.json)
propagates a 96 channels comb
"""
from gnpy.core.utils import load_json
from convert import convert_file
from gnpy.core.equipm... | |
2104.03847 | \section{Introduction}
We derive a stable reformulation of the convex semidefinite
programming, \textbf{SDP}, model for the
key rate calculation for quantum key distribution, \textbf{QKD}, problems.
We use this to derive efficient,
accurate, algorithms for the problem, in particular, for finding
provable lower bounds ... |
1705.03942 | \section{Introduction} \label{sec1}
\addtolength{\footskip}{-0.2cm}
The fact that the minimal observable length can be useful to impose an effective cut-off in the ultraviolet domain in order to make the theory of quantum fields renormalizable was suggested very early by Heisenberg. It was Snyder, who formalized the id... |
1705.03586 | \section{\label{Intro} Introduction}
A ratchet is a mechanical device that combines a pawl and a wheel such that
the former limits the rotation of the latter to only one direction.
Also, a ratchet mechanism can refer to dynamism among objects
that rectifies incoming stimulative actions into directed movement.
The mec... |
1303.2463 | \section{Introduction}
Dark matter remains one of the most elusive problems in astronomy.
Clues of unseen, ``dark'' matter have been found for over 80 years (e.g. \citet{Oort1932A,Zwicky1933,Karachentsev1966A}).
But only since the analysis of rotation curves of galaxies, both through radio and optical, did the problem ... |
1303.2214 | \section{Introduction}
The possible existence of a spin-liquid phase on the honeycomb lattice
has recently attracted considerable attention. Meng {\it et al.}\cite{meng}
investigated the Hubbard model for this system at half-filling, using large-scale
quantum Monte Carlo (QMC) calculations for clusters containing u... |
1303.2372 | \section{Introduction}
Non-singular bouncing cosmology \cite{Novello:2008ra} has gained significant interest in recent studies of the early universe. The main reason for such a research direction is that the most popular paradigm of the early universe, namely inflation, still suffers from the ``Big-Bang singularity'... |
0912.2950 | \section*{\textmd{\normalsize COLO-HEP-549}}
\begin{center}
\textbf{\Large Classical and Quantum SUSY Breaking Effects in IIB
Local Models}
\par\end{center}{\Large \par}
\begin{center}
{\large S. P. de Alwis$^{\dagger}$}
\par\end{center}
\begin{center}
Physics Department, University of Colorado, \\
Boulder, CO 8... |
0912.2919 | \section{Introduction}\label{s1}
We consider only simple graphs without loops or multiple edges. Our
terminology and notation will be standard except as indicated, and a good
reference for any undefined terms or notation is~\cite{West01}. For two
graphs~$G,H$ on disjoint vertex sets, we denote their \emph{union} ... |
0912.3303 | \section{Introduction}
In recent years there has been a great deal of interest in
graph $C^*$-algebras and their generalisations (see
\cite{CBMSbk} for a survey). To associate $C^*$-algebras to a
given generalisation of directed graphs, one assigns partial
isometries to the edges of the graph in a way which encodes
co... |
2107.06095 | \section{Introduction}
\par Metal hydrides are compounds that form when certain metals react with hydrogen. The hydriding reaction is reversible: the metal absorbs hydrogen exothermically at certain temperatures and pressures and desorbs hydrogen endothermically under other conditions. The search for new energy stora... |
2207.13068 | \section{Introduction}
The problem of existence of outliers\footnote{[which] are also referred to as abnormalities, discordants, deviants, or anomalies in the data mining and statistics literature \cite{Aggarwal_2015}.} or outlier detection ``[have] been recognized for a very long time, certainly since the middle of t... |
1801.02553 | \section{Introduction}
Millimeter Wave (mmWave) communications are expected to play a vital role in 5G mobile communications, expanding the available spectrum and enabling multi-gigabit services that range from ultra-high definition video, to outdoor mesh networks, to autonomous vehicle platoons and drone communication... |
1509.04164 | \section{Introduction}\label{sec:intro}
Angular correlations between jets produced together with heavy particles have been studied actively for a long time, because they can provide important information about the heavy particles~\cite{Plehn:2001nj, DelDuca:2001fn, Hankele:2006ma, Klamke:2007cu, Hagiwara:2009wt, Buckl... |
1308.4439 | \section{Introduction}
Let ${\bf a}_0,{\bf a}_1,\dots,{\bf a}_N\in{\mathbb Z}^n$ and put ${\bf a}_j = (a_{j1},\dots,a_{jn})$.
For each $j=0,\dots,N$, let $\hat{\bf a}_j = (1,{\bf a}_j)\in{\mathbb Z}^{n+1}$ and put
$A=\{\hat{\bf a}_j\}_{j=0}^N$. We let $x_0,\dots,x_n$ be the coordinates on~${\mathbb R}^{n+1}$, ... |
2203.06172 | \section*{Acknowledgement}
\label{sec.ack}
We thank Yi Zhu, Hang Zhang, Haichen Shen, Mu Li, and Alexander Smola for their help with this work. This work was partially supported by NSF Award PFI:BIC-1632051 and Amazon AWS Machine Learning Research Award.
\section{A list of standard augmentation space} \label{app:augmen... |
2004.02268 | \section{Introduction}\label{sec1}\setcounter{equation}{0}
The classical second Borel--Cantelli lemma states that if $\Gam_1,\Gam_2,...$ is a sequence of independent
events such that
\begin{equation}\label{1.1}
\sum_{n=1}^\infty P(\Gam_n)=\infty
\end{equation}
then with probability one infinitely many of events... |
2302.10536 | \section{Introduction}
Emotional voice conversion (EVC) attempts to modify perceived emotion style in a given speech signal to a particular target emotion style without modifying the linguistic content of the speech signal \cite{zhou2022emotional}. Early stage of EVC approaches \cite{tao2006prosody,aihara2014exemplar,l... |
2211.00171 | \section{Introduction}
\label{sec:intro}
Human experience is permeated by emotions. They can guide our attention and influence our information consumption, beliefs, and our interactions~\cite{dukes2021rise, wahl2019emotions}. Deep learning has enabled us to extract affective constructs from natural language~\cite{cho... |
0709.4280 | \section{Introduction}
\begin{defn}\label{def:ca}
Let $G$ be a group. A finite \emph{cellular automaton} on $G$ is a
map $\theta:Q^S\to Q$, where $Q$, the \emph{state set}, is a finite
set, and $S$ is a finite subset of $G$.
\end{defn}
Note that usually $G$ is infinite; much of the theory holds trivially
if $G$ ... |
0709.2745 | \section{Introduction}
Many cosmological observations \cite{1,2,3,4}, such as the type Ia
Supernova(SN Ia), Wilkinson Microwave Anisotropy Probe(WMAP), the
Sloan Digital Sky Survey(SDSS) etc., support that our universe is
undergoing an accelerated expansion. This accelerated expansion is
always attributed to
the dar... |
0709.2660 | \section{Introduction}
\label{sec:intro}
Propagation of surface plasmon polaritons (SPPs) in linear periodic
chains (LPC) of metal nanoparticle has been in the focus of
considerable recent
attention~\cite{weber_04_1,simovski_05_1,koenderink_06_1,fung_07_1,park_04_1,citrin_05_1,citrin_06_1,markel_07_2}.
The interest is... |
0709.2600 | \section{Introduction}\label{int}
The approximation of a line by a planar lattice yields a stair climbing pattern.
Consider the averages of a function of a random field along a finite window
moving up the stair climbing pattern.
Under which conditions does this sequence converge, and what are explicit
formulae for t... |
0807.4208 | \section{Introduction}
\label{SEC:introduction}
Clusters of galaxies are a unique probe of the growth and dynamics of
structure in the Universe.
In particular, active mergers of sub-clusters provide a window to the
processes by which massive clusters are assembled.
In these systems, the galaxies and associated dark
ma... |
0807.3391 | \section{Introduction}
Recently, Pierre Auger observatory published results on correlation
of the highest-energy cosmic rays with the positions of nearby
active galactic nuclei (AGN) \cite{Abraham:2007bb}. Such a
correlation is confirmed by the data of Yakutsk \cite{Ivanov:2008it}
while it is not found in the analysis... |
0807.3352 | \section{Introduction}
Rare dark matter halos at high redshifts host interesting
astrophysical objects, especially before or at the end of the
reionization epoch. One example is given by the very first Population~III (PopIII)
stars formed in the universe at $z \gtrsim 40$, which started the metal
enrichment of the int... |
1805.03277 | \section{Introduction}\label{intro}
One of the most important unsolved problem in Operator Theory is the \emph{Invariant Subspace Problem}: Does every bounded operator on an infinite dimensional, separable, complex Hilbert space have a non-trivial invariant closed subspace? Von Neumann proved the existence of such s... |
1805.03175 | \section{#2}\label{sec:#1}\vspace{-0.075in}}
\newcommand{\putssec}[2]{\vspace{-0.05in}\subsection{#2}\label{ssec:#1}\vspace{-0.075in}}
\newcommand{\putsssec}[2]{\vspace{0.05in}\subsubsection{#2}\label{sssec:#1}\vspace{0.075in}}
\newcommand{\putsssecX}[1]{\vspace{0.0in}\subsubsection*{#1}\vspace{0.0in}}
\newcommand*\ci... |
2106.03832 | \section{Introduction}
Let $\mathcal{H}:=(E_t,\{1,-1\}^t)$ be the oriented matroid on its {\em ground set\/}~$E_t:=[t]$ $:=[1,t]:=\{1,\ldots,t\}$, where~$t\geq 3$, and with its set of {\em topes\/} $\{1,-1\}^t$. This oriented matroid is realizable as the {\em arrangement\/} of {\em coordinate hyperplanes\/} in the r... |
2106.03849 | \section{Introduction}
\label{sec:intro}
The problem of \emph{unsupervised visual scene understanding} has become an increasingly central topic in machine learning \cite{malik_2015,inbooksceneunderstanding}. The attention is merited by potential gains to reasoning, autonomous navigation, and myriad tasks. However, wit... |
2011.02603 | \section{Introduction}
It is the threshold theorem\cite{Shor-FT-1996,Steane-FT-1997,
Gottesman-FT-1998,Dennis-Kitaev-Landahl-Preskill-2002,
Knill-FT-2003,*Knill-2004B,
*Aliferis-Gottesman-Preskill-2006,*Reichardt-2009,
Katzgraber-Bombin-MartinDelgado-2009} that makes large-scale quantum
computation feasib... |
2201.04146 | \section{Introduction}\label{sec:intro}
Gas giant planets have been found to reside in many extrasolar planetary systems. The diversity in their sizes, masses, orbits, compositions, and formation pathways has been the subject of numerous studies. However, selection biases often cloud our understanding. For instance, t... |
1912.04434 | \section{Introduction}
\label{sec:Introduction}
According to the principle of the equilibrium thermodynamics, a
quasi-static adiabatic cycle is trivial, in the sense that the initial
and final states are identical~\cite{Callen}.
Once we
slightly relieve the quasi-static adiabatic condition,
or
the
thermodynamic condit... |
2007.16086 | \section{Introduction}
This paper deals with flat metric defined by Abelian differentials on compact Riemann surfaces (\emph{translation surfaces}).
For a translation surface, we define the \textit{relative systole} $\mathrm{Sys}(S)$ to be the length of the shortest saddle connection of $S$.
A sequence of area one t... |
2007.16160 | \section{The multiplayer triangle game and formal statement of Corollary~1}
\label{SM1}
\subsection{Multiplayer triangle game}
\label{N_Player}
In this section we formally state the win conditions for the multiplayer triangle game. Consider a scenario where $n$ players located around a cycle are enumerated as players... |
1512.01800 | \section{INTRODUCTION}
Point-contact (PC) spectroscopy of the electron- phonon interaction (EPI) in normal metals \cite{Yanson1} enables direct measurement of the spectral function of EPI under the condition that the inelastic electron mean-free path length ${{l}_{\varepsilon }}$ is greater than the dimensions of the ... |
2004.09634 | \section{Introduction}
We study the motion of particles subject to a covariant mechanical friction force (MFF) caused by the presence of a material medium. In general, in the presence of any force, a charged particle emits radiation, a result obtained by Larmor considering properties of Maxwell\rq s equations. Emitte... |
2007.15821 | \section{Introduction}
A tensor is a multi-dimensional array that can effectively capture the complex multidimensional features. A Boolean tensor is a tensor that assumes binary values endowed with the Boolean algebra. Boolean tensor has been widely adopted in many fields, including dynamic networks, knowledge graphs, ... |
0905.0946 | \section{Introduction}
We prove that any two birational Mori fibre spaces are connected by a sequence of
elementary transformations, known as Sarkisov links:
\begin{theorem}\label{t_main} Suppose that $\phi\colon\map X.S.$ and $\psi\colon\map
Y.T.$ are two Mori fibre spaces with $\mathbb{Q}$-factorial terminal singula... |
0905.1129 | \section{Introduction}
Repetitions in words have been studied since the beginning of the
previous century \cite{thueI,thue}. Recently, there has been much
interest in repetitions with fractional exponent
\cite{brandenburg,carpi,dejean,longfrac,krieger,mignosi}. For
rational $1<r\le 2$, a {\bf fractional $r$-power} is ... |
0905.0402 | \section{Introduction}
The $X(3872)$ was discovered at BELLE \cite{Choi:2003ue} and then later also
observed at ... and ...
Its decay into $J/\psi \pi \pi$ has been observed in \cite{Choi:2003ue,Abulencia:2005zc}
as well as into $J/\psi \pi \pi$ \cite{Abe:2005ix}. The quantum numbers
have been investigated in \cit... |
2207.08114 | \section{Introduction}
\IEEEPARstart{G}{lobally}, as of March 2022, more than 452 million confirmed cases of COVID-19 have been reported to WHO, including more than 6 million deaths.
Especially, the new wave of epidemics caused by the Delta and Omicron variants of COVID that broke out in India, South Korea, and Hong Ko... |
0807.1458 | \section{Introduction}
Rumours are an important form of social communications, and their
spreading plays a significant role in a variety of human affairs. The
spread of rumours can shape the public opinion in a country
\cite{galam}, greatly impact financial markets \cite{kimmel,kosfeld}
and cause panic in a society d... |
0807.0413 | \section{\label{sec:intr}Introduction}
In superfluid helium, vortices form when the helium is rotated rapidly or
when there is turbulence \cite{Vine,tilleybook}. Though such vortices are similar
to the vortices that make up a vortex street behind the wings of an airplane
or to the funnel clouds of tornadoes, they are... |
0807.0761 | \section{Introduction}
An optical lattice is produced by pairs of counter propagating laser beams, which introduce standing waves of lattice constant of half wave length, $a=\lambda/2$ \cite{Zoller}. The laser beams have a given wave length, intensity, and polarization, and where they are off resonance to the atomic i... |
0807.1200 | \section{Introduction}
The mysteries of the nature of dark matter and dark energy are perhaps the
most important ones of contemporary cosmology. Dark matter, which accounts for
the observed discrepancy between the dynamical and luminous masses of bounded
astrophysical systems, is usually formulated within the so-calle... |
2105.09242 | \section{Introduction}
The inflationary scenario offers the most attractive mechanism for
the generation of the primordial perturbations (for the original discussions,
see Refs.~\cite{Hawking:1982cz,Guth:1982ec,Starobinsky:1982ee,Bardeen:1983qw};
for reviews, see, for example, Refs.~\cite{Mukhanov:1990me,Martin:2003b... |
1711.10660 | \section{Introduction and Motivation}
Realization of the fact that black holes behave as thermodynamical objects \cite{Bekenstein:1974ax,Bardeen:1973gs,Gibbons:1977mu,Hawking:1976de, Bekenstein:1973ur,Bekenstein:1972tm,Hawking:1974sw,Jacobson:1995ab,Padmanabhan:2009vy,Padmanabhan:2013nxa} has, since long, been fuellin... |
1610.04499 | \section{Introduction}
Bootstrap percolation, also known as the {\em irreversible $r$-threshold process} \cite{DreyerRoberts, Roberts} or the \emph{target set selection} is a deterministic cellular automaton first introduced by Chalupa, Leath, and Reich \cite{CLR}. Vertices of a graph are in one of two states, ``dorma... |
2010.09989 | \section{Introduction}
Single particle cryo-electron microscopy (cryo-EM) is a powerful method for reconstructing the 3D structure of individual proteins and other macromolecules \citep{Frank2006,Cheng2018}.
In a cryo-EM experiment, a sample of the molecule of interest is rapidly frozen, forming a thin sheet of vit... |
1701.01074 | \section{Local degree and defect}\label{SecLocDeg}
We will use the following criterion to measure defect, which is Proposition 3.4 \cite{C12}. This result is implicit in \cite{CP} with the assumptions of Proposition \ref{Prop1}.
\begin{Proposition}\label{Prop15}
Suppose that $R$ is a 2 dimensional excellent local d... |
2102.13377 | \section{Introduction}
The galaxy population in the local Universe is observed to be bimodal. This bimodality manifests in multiple properties such as colour, morphology, metallicity, light profile shape and environment (e.g. \citealt{Kauffmann03}; \citealt{Baldry04}; \citealt{Brinchmann04}). This bimodality is also f... |
1902.06196 | \section{Introduction}
\label{sec:intro}
\subsection{Digital fingerprinting}
Fingerprinting techniques for digital content provide a way for copyright holders to uniquely mark each copy of their content, to prevent unauthorized redistribution of this content: if a digital ``pirate'' nevertheless decides to publicly sh... |
1605.01123 | \section{Introduction}
Neutrinos are very special among the currently known elementary particles \cite{Agashe:2014kda}. They have tiny masses compared to the rest of the elementary fermions in all known processes. So far they are produced only at relativistic energies.
Their interactions are very weak, so that an over... |
1108.5875 | \section{Introduction}
The suppression of quarkonium has been hypothesized 25 years ago \cite{Matsui:1986dk} to represent a signature of the formation of a deconfined medium and has been ever since intensely investigated, both theoretically and experimentally. Here we address the problem, central to these studies, of t... |
1804.02682 | \section{Phase space with respect to the two-photon formalism}
\label{app:twophoton_gaussian}
From the two-photon operators
\begin{align}
\op{a}_1 &= \frac{ \op{a}_{ \omega + \Omega } + \op{a}_{ \omega - \Omega }^{\dagger} }{ \sqrt{2} },
&
\op{a}_2 &= \frac{ \op{a}_{ \omega + \Omega } - \op{a}_{ \omega - \Omega }^{\... |
1906.00428 | \section{Introduction}
\label{introduction}
An (integer) partition of $n$ is a non-increasing sequence of positive integers $\lambda_1 \geq \lambda_2 \cdots \geq \lambda_r \geq 1$ that sum to $n$. Let $p(n)$ be the number of partitions of $n$. By convention, we take $p(0)=1$ and $p(n)=0$ for negative $n$.
This funct... |
2106.10447 | \section{Introduction}
\subsection{Framework}
When dealing with PDEs coming from the Euler--Lagrange equations of some energy functional, existence and multiplicity results of weak solutions are usually achieved via the so-called Variational Method.
In the recent years, this approach has been employed by many autho... |
0905.3496 | \section{Introduction}
This is the third paper of a series devoted to the analysis of the ultraviolet
(UV) morphology of intermediate and late type stars and evolved stellar
populations. In the first paper \citep[hereafter Paper~I]{lino05}, we
presented the UVBLUE library of synthetic stellar
spectra at high resolutio... |
0905.3439 | \section{Introduction}
\label{sect:intro}
In studying the equation of state (EOS) of ordinary quark matter,
the cruial point is to treat quark confinement in a proper way.
Except the conventional bag mechanism (where quarks are
asymptotically free within a large bag), an alternative way to
obtain confinemen... |
0905.3494 | \section{\@startsection {section}{1}{\z@}%
{-3.5ex \@plus -1ex \@minus -.2ex
{2.3ex \@plus.2ex}%
{\normalfont\large\bfseries}}
\renewcommand\subsection{\@startsection{subsection}{2}{\z@}%
... |
2003.05021 | \section{Introduction}
In quantum theory,
partition functions or expectation values of observables are central objects.
For a Lagrangian field theory,
the path-integral provides these objects,
though how to integrate is obscure except for free theories.
The perturbative path-integral is a standard technique that... |
2003.05074 | \section{Introduction}
Khovanov homology \cite{Khov1} is a bigraded homology theory which is an invariant of knots and links, categorifying the Jones polynomial. In general, the structure of Khovanov homology and the types of torsion which occur may vary widely \cite{DBN, MPS, Stosic1}. For certain links, there is a p... |
2103.15960 | \section{Methods}\label{sec:methods}
The described system is the result of tightly coupled interdisciplinary work ranging from machine learning to chip design.
The following sections describe different aspects of the \gls{bss2} mobile system from the perspective of the different technological areas.
\subsection{BrainS... |
1006.5462 | \section{Introduction}
Lasers emit light over a range of wavelengths
described by the laser line shape
function.\cite{Csele,Milonni,Pedrotti} For a HeNe laser operating
under normal conditions, the main source of laser line shape
broadening is Doppler broadening in the lasing medium, resulting in
a Gaussian gain profil... |
2106.00683 | \section{Introduction}
\label{sec:intro}
\begin{figure*}[ht]
\centering
\includegraphics[width=\textwidth]{./figures/m87_snapshot-crop.pdf}
\caption{
(Left) Snapshot image from a magnetically arrested radiative GRMHD simulation of {M87$^{\ast}\xspace$} \citep[Model R17;][]{Chael_19}, convolved with a circular Gaussian... |
1801.00299 | \section{Notation and preliminaries}
Lower indices will denote different matrices, while upper indices will denote elements of a matrix. \emph{Bar} as in $\ov{\sigma}$ will denote the complex conjugate, upper index $T$ as in $\sigma^T$ will denote transpose, and $\dag$ as in $\sigma^\dag$ will denote conjugate trans... |
2202.00598 | \section*{Background}
Embedded feature selection in high-dimensional data to reduce the feature dimension can be time-consuming or even unmanageable in a reasonable time without acceleration. Such high-dimensional data with a very small sample size occur, for example, in biomarker pilot studies\footnote{Biomarkers are ... |
1608.01719 | \section{Introduction}
Conductometric chemical sensors are known to be very sensitive to
humidity levels in the environment
~\cite{barsan2001conduction,barsan2003understanding,Hubner2011347,morante2013chemical,buehler1997temperature,yamazoe2005toward,romain1997situ,hossein2010compensation,fine2010metal,oprea2009temper... |
1608.01898 | \section{Introduction}
\subsection{Motivation}
In this paper we study bifurcation equations and transversality conditions for
local bifurcations of $p$-periodic points in one-dimensional discrete
dynamical systems defined implicitly, with $p$ a positive integer. In
particular, we focus our attention on the fol... |
1608.01921 | \section{Introduction}
Let $P\subset\ensuremath{\mathbb{R}}^d$ be a $d$-dimensional point set. We say $P$
\emph{embraces} a point $\ve{p} \in \ensuremath{\mathbb{R}}^d$ or $P$ is
\emph{$\ve{p}$-embracing} if $\ve{p} \in \conv(P)$, and we
say $P$ \emph{ray-embraces} $\ve{p}$ if $\ve{p} \in \pos(C)$, where $\pos(P)
= \bi... |
1508.00890 | \section{Introduction}
\subsection{The thin-film equation as a classical free-boundary problem}
We are interested in the thin-film equation with \emph{quadratic mobility}
\begin{subequations}\label{tfe_free}
\begin{equation}\label{tfe}
\partial_t h + \partial_z\left(h^2 \partial_z^3 h\right) = 0 \quad \mbox{for } \, t ... |
2008.05629 | \section{Introduction}\label{sec:introduction}
Network security is one of the most important problems faced by enterprises and countries today \cite{Goel16}.
Before launching a network attack,
malicious attackers often scan systems in a network to identify vulnerabilities
that can be exploited to intrude into the netwo... |
2203.03623 | \section{Introduction}
\label{sec:introduction}
Reconstruction from under-sampled measurements in medical imaging has been deeply studied over the years, including reconstruction of accelerated magnetic resonance imaging (MRI) \citep{aggarwal2018modl,hammernik2018learning,eo2018kiki,han2019k}, sparse view or limited a... |
2009.08780 | \section{Introduction}
The Arimoto-Blahut algorithm \cite{ari}, \cite{bla} is an algorithm for calculating a sequence of input distributions $\{\bm\lambda^N\}_{N=0,1,\ldots}$ converging to $\bm\lambda^\ast$ that achieves the capacity $C$ of a discrete memoryless channel. In the algorithm, $\bm\lambda^{N+1}$ is obtained... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.