1,720,956 research outputs found
Replication data for: Electric-field metrology of a terahertz frequency comb using Rydberg atoms
No full textThe dataset contains the replication data used for generating plots and tables in the associated article. It contains both the data itself, stored in netcdf4 and pickle format. The data is best analyzed using a Python based stack for data analysis. The following packages are recommended for its viewing and running the examples below:numpymatplotlibxarrayxrftarc-alkali-rydberg-calculatornetcdf4pinttabulateDue to the complexity of the data, analyzing them is best done based on the custom scripts below, developed while conducting the associated research. The structured nature of the netcdf format, as well as high level and quality code presented in the examples, serve as a documentation of its own. The code replicates all of the plots and values presented in the article.All photon counts were measured using a single photon avalanche photodiode, while the probe spectra were measured using a regular avalanche photodiode, where the probe laser was scanned in frequency.Contentsexamples.py contains a Python script to be run in interactive mode, for viewing all the plots that are part of the linked articlecomb_scan.nc contains broadband scans of the frequency comb showing photon counts with respect to the decoupling laser detuning, for 4 different atomic transitions. Used in Fig. 3-4comb_theory.pkl theoretical predictions of the aforementioned scan for the 126 GHz transition, obtained with the theoretical model from appendix A, used in Fig. 4map.nc conversion gain map, obtained from the aforementioned theoretical model. Used in Fig. 8-9 and to derive the theory in Fig. 5photon_counts.nc measured photon counts for maximum comb signal intensity, thermal background and dark counts. Each measurement is a 1s aggregation and there are 30 copies of each level measurement. Used in Fig. 2 and sensitivity derivations shown in Table 1rabi_fits.pkl experimental data showing Autler-Townes splitting, registered in the probe spectrum with a photodiode. Additionally, contains the resulting plots of the fitted theoretical model and estimated Rabi frequencies. Used in Fig. 7rabis.pkl fitted Rabi frequencies with respect to the half-waveplate angles used for attenuating the signal. Used in Fig. 2 and the calibration proceduretds.nc single frequency comb pulse spectrum, measured with a standard Time Domain Spectroscopy setup. Used in Fig. 3tra_da.nc measured photon counts of the converted TRA chip signal with respect to the attenuation induced by the half-waveplate angles and the selected chip power mode. Used in Fig. 2bandwidth.nc measured photon counts of the converted TRA chip signal with respect to its detuning, driven by a phase locked loop. Used as the conversion bandwidth for frequency comb mode number derivations presented in Table 2beat_histogram.nc measured photon counts with respect to time, used for observing beat notes and shown in Fig. 5This research was funded in whole or in part by National Science Centre, Poland grants No. 2021/43/D/ST2/03114 and No. 2024/53/N/ST7/02730. The "Quantum Optical Technologies" (FENG.02.01-IP.05-0017/23) project is carried out within the Measure 2.1 International Research Agendas programme of the Foundation for Polish Science co-financed by the European Union under the European Funds for Smart Economy 2021-2027 (FENG).</p
Replication Data for: Beating the spectroscopic Rayleigh limit via post-processed heterodyne detection
No full textNormalized variances calculated using the method described in the article, based on experimental data. Data is stored using Xarray, specifically in the NetCDF format. Data can be easily accessed using the Xarray Python library, specifically by calling xarray.open_dataset()
The dataset is structured as follows:
two N-dimensional DataArrays, one corresponding for calculations with time displacements (labeled as time) and one for calculations with phase displacements with the time centroid already picked (labeled as final)
each DataArray has 5 dimensions: SNR, eps (separation), ph_disp/disp (displacement), sample/sample_time (bootstrapped sample), supersample (ensemble of bootstrapped samples)
coordinates label the parameters along each dimension
Usage examples
Opening the dataset
import numpy as np
import xarray as xr
variances = xr.open_dataset("coherent.nc")
Obtaining parameter estimates
def get_centroid_indices(variances):
return np.bincount(
variances.argmin(
dim="disp" if "disp" in variances.dims else "ph_disp"
).values.flatten()
)
def get_centroid_index(variances):
return np.argmax(get_centroid_indices(variances))
def epsilon_estimator(eps):
return 4 * np.sqrt(np.clip(var, 0, None))
time_centroid_estimates = variances["time"].idxmin(dim="disp")
phase_centroid_estimates = variances["final"].idxmin(dim="ph_disp")
epsilon_estimates = eps_estimator(
variances["final"].isel(ph_disp=common.get_centroid_index(variances["final"]))
)
Calculating and plotting precision
def plot(estimates):
estimator_variances = estimates.var(
dim="sample" if "sample" in estimates.dims else "sample_time"
)
precision = (
1.0
/ estimator_variances.snr
/ variances.attrs["SAMPLE_SIZE"]
/ estimator_variances
)
precision = precision.where(xr.apply_ufunc(np.isfinite, precision), other=0)
mean_precision = precision.mean(dim="supersample")
mean_precision = mean_precision.where(np.isfinite(mean_precision), 0)
precision_error = 2 * precision.std(dim="supersample").fillna(0)
g = mean_precision.plot.scatter(
x="eps",
col="snr",
col_wrap=2,
sharex=True,
sharey=True,
)
for ax, snr in zip(g.axs.flat, snrs):
ax.errorbar(
precision.eps.values,
mean_precision.sel(snr=snr),
yerr=precision_error.sel(snr=snr),
fmt="o",
)
plot(time_centroid_estimates)
plot(phase_centroid_estimates)
plot(epsilon_estimates)
</code
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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