TiEMPO: Open-source time-dependent end-to-end model for simulating ground-based submillimeter astronomical observations

The next technological breakthrough in millimeter-submillimeter astronomy is 3D imaging spectrometry with wide instantaneous spectral bandwidths and wide fields of view. The total optimization of the focal-plane instrument, the telescope, the observing strategy, and the signal-processing software must enable efficient removal of foreground emission from the Earth's atmosphere, which is time-dependent and highly nonlinear in frequency. Here we present TiEMPO: Time-Dependent End-to-End Model for Post-process Optimization of the DESHIMA Spectrometer. TiEMPO utilizes a dynamical model of the atmosphere and parametrized models of the astronomical source, the telescope, the instrument, and the detector. The output of TiEMPO is a time-stream of sky brightness temperature and detected power, which can be analyzed by standard signal-processing software. We first compare TiEMPO simulations with an on-sky measurement by the wideband DESHIMA spectrometer and find good agreement in the noise power spectral density and sensitivity. We then use TiEMPO to simulate the detection of a line emission spectrum of a high-redshift galaxy using the DESHIMA 2.0 spectrometer in development. The TiEMPO model is open source. Its modular and parametrized design enables users to adapt it to design and optimize the end-to-end performance of spectroscopic and photometric instruments on existing and future telescopes.Comment: Presented at SPIE Astronomical Telescopes + Instrumentation 2020. Full published paper, poster and video available at https://doi.org/10.1117/12.2561014 Open-source Python package of TiEMPO: https://pypi.org/project/tiempo-deshima/ Open-source code of TiEMPO: https://zenodo.org/record/4279086#.X_jAsdhKg2

Analysing a TiEMPO simulation of a DESHIMA 2.0 observation of the dusty starburst galaxy HFLS3

Observing dust obscured high redshift galaxies is vital to understand the evolution of the early universe and the formation of stars and galaxies. HFLS3 is such a galaxy, and its emission spectrum can be detected at submillimeter wavelengths. With the Deep Spectroscopic High-redshift Mapper 2.0 (DESHIMA 2.0) it is pos- sible to observe these high redshift galaxies at the ASTE telescope in Chile. With the recently developed Time- dependent End-to-end Model for Post-process Optimization (TiEMPO) it is possible to simulate observations of DESHIMA2.0.With TiEMPO it is possible to simulate different sky positions to accommodate different scenarios of wind direction. However, since TiEMPO is fairly new there are still some problems with the simulation of several of the the possible sky positions. More importantly, the model has to be tested with realistic high-redshift sources that are interesting for observations with DESHIMA 2.0. To predict whether a source can be observed with DESHIMA 2.0 it is necessary to estimate what the signal to noise ratio will be. Parameters like the pre- cipitable water vapor and the observation time determine if a source can be measured.In this report, a solution is introduced to make it possible to use 6 different sky positions while simulating DESHIMA 2.0 measurements with TiEMPO. This solution is part of the current TiEMPO version, and can be used in future simulations.With the improved model we simulate an observation of the dusty starburst galaxy HFLS3. The CII line in the emission spectrum is fainter than simulations done so far. A new model to simulate the emission spectrum was made to accommodate for this. With the use of beam switching some of the noise from the atmosphere is removed from the data. The simulation is compared to previously made observations as described in [2]. From the resulting signal we calculate the standard deviation σ to determine the signal to noise ratio (SNR). The values found for σ correspond well with the expected relation between σ and integration time. We say that a emission line is detected if the SNR is greater than 5. The calculated SNR of a 16 hour observation with a pwv value of 1.0 mm is 5.2, which shows that HFLS3 can be detected with DESHIMA 2.0. Two simulations of 8 hours with pwv values of 1.0 and 0.5 mm are compared as well. After 8 hours of observation, the SNR is 3.9 for a pwv value of 1.0 mm and 6.0 for a pwv value of 0.5 mm. With this lower pwv value the galaxy can be detected after 8 hours.The analysis of this project can be repeated on other sources to make a database for future DESHIMA 2.0 simulations. Hereby it is key to have models which can predict the emission lines of a galaxy accurately

Learning from phishing emails: Creating new metrics to measure the effect of anti-phishing training in a large company

Phishing attacks are a growing cause of cybersecurity incidents such as data breaches. With these attacks, malicious actors try to gain access to systems by exploiting the vulnerability of employees. Particularly, intruders use different tricks to create convincing phishing emails to force people to behave less securely. Unfortunately, technological applications are insufficient in detecting all possible phishing attempts. As the consequences of a successful breach can be disastrous for a company, especially in the banking sector, pressure is put on employees to recognise and report potential phishing emails. To aid them in this task, phishing training is provided by employers. Employees are taught what phishing emails look like and which actions they should take if an email appears malicious. However, the effectiveness of these training sessions is difficult to evaluate.To understand the interaction of employees with phishing emails without influencing their behaviour, we study the emails employees report as suspicious to characterise the security culture at a bank. A better understanding of the behaviour provides grounds for recommendations to improve anti-phishing training and create a safer environment. The newfound metrics can provide an alternative to current methods.This research uses Exploratory Data Analysis (EDA) to evaluate the email reporting behaviour of employees at a bank to answer the Research Question How can email reporting patterns in a large organisation measure the relationship between phishing training, reported emails and employee behaviour? With this case study, we apply EDA to a large dataset containing bank employees' reported emails over 16 months. We analysed the reported emails and related them to the provided phishing training events. Moreover, we did a text analysis of the emails' content using the Term Frequency - Inverse Document Frequency (TF-IDF) method. Additionally, we extract the dominant topics of the emails using topic modelling. Lastly, with the help of interviews, the results are tied to employees' experiences to understand their behaviour.The major findings of the research are, firstly, the new metrics we identified to measure the security culture of a company. These metrics were found from both the analysis of employee behaviour over time, as well as the analysis of the email content. From the analysis of the reporting behaviour over time, new metrics include the unique reporters in relation to the total reported emails over time. Besides the unique reporters, unique reported emails can uncover the presence of campaigns. For example, a single email can explain the increase from 50 to 350 daily benign reports. The difference between the total reports and unique reports uncovered this. Secondly, topic analysis and content comparison show similarities between benign and malicious reported emails, indicating an increased vigilance of employees on these attributes.A second finding originates from the analysis of the email components. One of the components was used in all simulation emails, while it was not present in all the benign and malicious reported emails. This shows that the simulation emails can be extended to include different scenarios. Therefore, we recommend the company to extend the phishing simulation emails to contain varied phishing tactics to expose employees to other types of attacks and incorporate all aspects taught during the E-learning.Lastly, the analysis shows no concrete relation between the number of reported emails and the timing of the simulation wave. Although the reported p-value of benign emails after the simulation is 0.03, this significance can also be explained by external factors.With these results, we can measure employees' security culture and awareness in real-world circumstances without influencing the employees' behaviour, providing a new approach to investigating phishing behaviour. Adding to the research of Steves et al. (2020),, the click rates can be explained by more than solely the employees' awareness levels, and new explanations come forward to handle phishing threats. Moreover, the absence of a required test environment for the analysis created a solution for existing gaps. For example, as seen in (Hillman et al., 2023). A limitation of exploratory data analysis is that results are often ambiguous and mainly provide possible directions for future research. Furthermore, external factors influencing the behaviour could provide alternative reasons for the discussed interactions.To conclude, by using the reported emails to measure security behaviour related to phishing, we found new metrics which do not influence the employees in their daily behaviour while still providing insights to improve the tactics of a company in combating phishing attacks. Reporting behaviour can be used to analyse the current anti-phishing tactics of a company and provide suggestions for improvements.Future research should explore the differences in applying the method in other companies and across sectors. Overlap and differences can create an understanding of the diversity in security culture and the effect of external factors. Combining these results with a comprehensive understanding of a company's operations can expose directions for improvement in the security approach. Additionally, the effect of the recommendations can be analysed using the metrics we proposed. This can be done with a follow-up analysis of the behaviour to see whether the desired effect can be observed.Engineering and Policy Analysi

TiEMPO: Open-source time-dependent end-To-end model for simulating ground-based submillimeter astronomical observations

The next technological breakthrough in millimeter–submillimeter astronomy is three-dimensional imaging spectrometry with wide instantaneous spectral bandwidths and wide fields of view. The total optimization of the focal-plane instrument, the telescope, the observing strategy, and the signal-processing software must enable efficient removal of foreground emission from the Earth’s atmosphere, which is time-dependent and highly nonlinear in frequency. Here, we present Time-dependent End-to-end Model for Post-process Optimization (TiEMPO) of the DEep Spectroscopic HIgh-redshift MApper (DESHIMA) spectrometer. TiEMPO utilizes a dynamical model of the atmosphere and parameterized models of the astronomical source, the telescope, the instrument, and the detector. The output of TiEMPO is a time stream of sky brightness temperature and detected power, which can be analyzed by standard signal-processing software. We first compare TiEMPO simulations with an on-sky measurement by the wideband DESHIMA spectrometer, and find good agreement in the noise and sensitivity. We then use TiEMPO to simulate the detection of the line emission spectrum of a high-redshift galaxy using the DESHIMA 2.0 spectrometer in development. The TiEMPO model is open source. Its modular and parametrized design enables users to adapt it to optimize the end-to-end performance of spectroscopic and photometric instruments on existing and future telescopesDreamhalTera-Hertz SensingStatistic

TiEMPO: Open-source time-dependent end-To-end model for simulating ground-based submillimeter astronomical observations

The next technological breakthrough in millimeter–submillimeter astronomy is three-dimensional imaging spectrometry with wide instantaneous spectral bandwidths and wide fields of view. The total optimization of the focal-plane instrument, the telescope, the observing strategy, and the signal-processing software must enable efficient removal of foreground emission from the Earth’s atmosphere, which is time-dependent and highly nonlinear in frequency. Here, we present Time-dependent End-to-end Model for Post-process Optimization (TiEMPO) of the DEep Spectroscopic HIgh-redshift MApper (DESHIMA) spectrometer. TiEMPO utilizes a dynamical model of the atmosphere and parameterized models of the astronomical source, the telescope, the instrument, and the detector. The output of TiEMPO is a time stream of sky brightness temperature and detected power, which can be analyzed by standard signal-processing software. We first compare TiEMPO simulations with an on-sky measurement by the wideband DESHIMA spectrometer, and find good agreement in the noise and sensitivity. We then use TiEMPO to simulate the detection of the line emission spectrum of a high-redshift galaxy using the DESHIMA 2.0 spectrometer in development. The TiEMPO model is open source. Its modular and parametrized design enables users to adapt it to optimize the end-to-end performance of spectroscopic and photometric instruments on existing and future telescopesISSN:2329-4221ISSN:2329-412

TiEMPO: Open-source time-dependent end-to-end model for simulating ground-based submillimeter astronomical observations

The next technological breakthrough in millimeter-submillimeter astronomy is three-dimensional imaging spectrometry with wide instantaneous spectral bandwidths and wide fields of view. The total optimization of the focal-plane instrument, the telescope, the observing strategy, and the signal-processing software must enable efficient removal of foreground emission from the Earth's atmosphere, which is time-dependent and highly nonlinear in frequency. Here, we present Time-dependent End-to-end Model for Post-process Optimization (TiEMPO) of the DEep Spectroscopic HIgh-redshift MApper (DESHIMA) spectrometer. TiEMPO utilizes a dynamical model of the atmosphere and parameterized models of the astronomical source, the telescope, the instrument, and the detector. The output of TiEMPO is a time stream of sky brightness temperature and detected power, which can be analyzed by standard signal-processing software. We first compare TiEMPO simulations with an on-sky measurement by the wideband DESHIMA spectrometer, and find good agreement in the noise and sensitivity. We then use TiEMPO to simulate the detection of the line emission spectrum of a high-redshift galaxy using the DESHIMA 2.0 spectrometer in development. The TiEMPO model is open source. Its modular and parametrized design enables users to adapt it to optimize the end-to-end performance of spectroscopic and photometric instruments on existing and future telescopes

DESHIMA 2.0: Development of an Integrated Superconducting Spectrometer for Science-Grade Astronomical Observations

Integrated superconducting spectrometer (ISS) technology will enable ultra-wideband, integral-field spectroscopy for (sub)millimeter-wave astronomy, in particular, for uncovering the dust-obscured cosmic star formation and galaxy evolution over cosmic time. Here, we present the development of DESHIMA 2.0, an ISS for ultra-wideband spectroscopy toward high-redshift galaxies. DESHIMA 2.0 is designed to observe the 220-440 GHz band in a single shot, corresponding to a redshift range of z = 3.3-7.6 for the ionized carbon emission ([C II] 158 μ m). The first-light experiment of DESHIMA 1.0, using the 332-377 GHz band, has shown an excellent agreement among the on-sky measurements, the laboratory measurements, and the design. As a successor to DESHIMA 1.0, we plan the commissioning and the scientific observation campaign of DESHIMA 2.0 on the ASTE 10-m telescope in 2023. Ongoing upgrades for the full octave-bandwidth system include the wideband 347-channel chip design and the wideband quasi-optical system. For efficient measurements, we also develop the observation strategy using the mechanical fast sky-position chopper and the sky-noise removal technique based on a novel data-scientific approach. In the paper, we show the recent status of the upgrades and the plans for the scientific observation campaign

Publisher Correction:Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals (Nature Genetics, (2020), 52, 12, (1314-1332), 10.1038/s41588-020-00713-x)

Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to ~1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 × 10−8), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were ~8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets

Discovery of rare variants associated with blood pressure regulation through meta-analysis of 1.3 million individuals

Abstract Genetic studies of blood pressure (BP) to date have mainly analyzed common variants (minor allele frequency > 0.05). In a meta-analysis of up to similar to 1.3 million participants, we discovered 106 new BP-associated genomic regions and 87 rare (minor allele frequency ≤ 0.01) variant BP associations (P < 5 x 10(⁻⁸)), of which 32 were in new BP-associated loci and 55 were independent BP-associated single-nucleotide variants within known BP-associated regions. Average effects of rare variants (44% coding) were similar to 8 times larger than common variant effects and indicate potential candidate causal genes at new and known loci (for example, GATA5 and PLCB3). BP-associated variants (including rare and common) were enriched in regions of active chromatin in fetal tissues, potentially linking fetal development with BP regulation in later life. Multivariable Mendelian randomization suggested possible inverse effects of elevated systolic and diastolic BP on large artery stroke. Our study demonstrates the utility of rare-variant analyses for identifying candidate genes and the results highlight potential therapeutic targets.A Publisher Correction to this article was published on 16 March 2021