Submitted to Space Science Reviews, 60 pages, 15 figures, 2 videos
HelioSwarm (HS) is a NASA Medium-Class Explorer mission of the Heliophysics Division designed to explore the dynamic three-dimensional mechanisms controlling the physics of plasma turbulence, a ubiquitous process occurring in the heliosphere and in plasmas throughout the universe. This will be accomplished by making simultaneous measurements at nine spacecraft with separations spanning magnetohydrodynamic and sub-ion spatial scales in a variety of near-Earth plasmas. In this paper, we describe the scientific background for the HS investigation, the mission goals and objectives, the observatory reference trajectory and instrumentation implementation before the start of Phase B. Through multipoint, multiscale measurements, HS promises to reveal how energy is transferred across scales and boundaries in plasmas throughout the universe.
We develop a robust and self-consistent framework to extract and classify gravitational wave candidates from noisy data, for the purpose of assisting in real-time multi-messenger follow-ups during LIGO-Virgo-KAGRA's fourth observing run~(O4). Our formalism implements several improvements to the low latency calculation of the probability of astrophysical origin~(\PASTRO{}), so as to correctly account for various factors such as the sensitivity change between observing runs, and the deviation of the recovered template waveform from the true gravitational wave signal that can strongly bias said calculation. We demonstrate the high accuracy with which our new formalism recovers and classifies gravitational wave triggers, by analyzing replay data from previous observing runs injected with simulated sources of different categories. We show that these improvements enable the correct identification of the majority of simulated sources, many of which would have otherwise been misclassified. We carry out the aforementioned analysis by implementing our formalism through the \GSTLAL{} search pipeline even though it can be used in conjunction with potentially any matched filtering pipeline. Armed with robust and self-consistent \PASTRO{} values, the \GSTLAL{} pipeline can be expected to provide accurate source classification information for assisting in multi-messenger follow-up observations to gravitational wave alerts sent out during O4.
28 pages, 12 figures
The Dark Energy Spectroscopic Instrument (DESI) survey is a spectroscopic survey of tens of millions of galaxies at $0 < z < 3.5$ covering 14,000 square degrees of the sky. In its first 1.1 years of survey operations, it has observed more than 14 million galaxies and 4 million stars. We describe the processes that govern DESI's observations of the 15,000 fields composing the survey. This includes the planning of each night's observations in the afternoon; automatic selection of fields to observe during the night; real-time assessment of field completeness on the basis of observing conditions during each exposure; reduction, redshifting, and quality assurance of each field of targets in the morning following observation; and updates to the list of future targets to observe on the basis of these results. We also compare the performance of the survey with historical expectations, and find good agreement. Simulations of the weather and of DESI observations using the real field-selection algorithm show good agreement with the actual observations. After accounting for major unplanned shutdowns, the dark time survey is progressing about 7% faster than forecast.
23 pages, 15 figures, 5 tables. The Uchuu-DESI lightcones will be available at this https URL
We present results from a set of high-fidelity simulated lightcones for the DESI One-Percent Survey, created from the Uchuu simulation. This 8 (Gpc/h)^3 N-body simulation comprises 2.1 trillion particles and provides high-resolution dark matter (sub)haloes in the framework of the Planck base-LCDM cosmology. Employing the subhalo abundance matching (SHAM) technique, we populate the Uchuu (sub)haloes with all four DESI tracers (BGS, LRG, ELG and QSO) to z = 2.1. Our method accounts for redshift evolution as well as the clustering dependence on luminosity and stellar mass. The two-point clustering statistics of the DESI One-Percent Survey align reasonably well with our predictions from Uchuu across scales ranging from 0.1 Mpc/h to 100 Mpc/h. Some discrepancies arise due to cosmic variance, incompleteness in the massive end of the stellar mass function, and a simplified galaxy-halo connection model. We find that the Uchuu BGS and LRG samples are adequately described using the standard 5-parameter halo occupation distribution model, while the ELGs and QSOs show agreement with an adopted Gaussian distribution for central halos with a power law for satellites. We observe a fair agreement in the large-scale bias measurements between data and mock samples, although the data exhibits smaller bias values, likely due to cosmic variance. The bias dependence on absolute magnitude, stellar mass and redshift aligns with that of previous surveys. These results improve simulated lightcone construction from cosmological models and enhance our understanding of the galaxy-halo connection, with pivotal insights from the first DESI data for the success of the final survey.
25 pages, 12 figures, data used to generate figures is available at this https URL
We present the probabilistic stellar mass function (pSMF) of galaxies in the DESI Bright Galaxy Survey (BGS), observed during the One-Percent Survey. The One-Percent Survey was one of DESI's survey validation programs conducted from April to May 2021, before the start of the main survey. It used the same target selection and similar observing strategy as the main survey and successfully observed the spectra and redshifts of 143,017 galaxies in the $r < 19.5$ magnitude-limited BGS Bright sample and 95,499 galaxies in the fainter surface brightness and color selected BGS Faint sample over $z < 0.6$. We derive pSMFs from posteriors of stellar mass, $M_*$, inferred from DESI photometry and spectroscopy using the Hahn et al. (2022a; arXiv:2202.01809) PRObabilistic Value-Added BGS (PROVABGS) Bayesian SED modeling framework. We use a hierarchical population inference framework that statistically and rigorously propagates the $M_*$ uncertainties. Furthermore, we include correction weights that account for the selection effects and incompleteness of the BGS observations. We present the redshift evolution of the pSMF in BGS as well as the pSMFs of star-forming and quiescent galaxies classified using average specific star formation rates from PROVABGS. Overall, the pSMFs show good agreement with previous stellar mass function measurements in the literature. Our pSMFs showcase the potential and statistical power of BGS, which in its main survey will observe >100$\times$ more galaxies. Moreover, we present the statistical framework for subsequent population statistics measurements using BGS, which will characterize the global galaxy population and scaling relations at low redshifts with unprecedented precision.
The One-Percent survey of the Dark Energy Spectroscopic Instrument collected ~ 270k emission line galaxies (ELGs) at 0.8 < z < 1.6. The high completeness of the sample allowed the clustering to be measured down to scales never probed before, 0.04 Mpc/h in rp for the projected 2-point correlation function (2PCF) and 0.17 Mpc/h in galaxy pair separation s for the 2PCF monopole and quadrupole. The most striking feature of the measurements is a strong signal at the smallest scales, below 0.2 Mpc/h in rp and 1 Mpc/h in s. We analyze these data in the halo occupation distribution framework. We consider different distributions for central galaxies, a standard power law for satellites with no condition on the presence of a central galaxy and explore several extensions of these models. For all considered models, the mean halo mass of the sample is found to be log10 <Mh> ~ 11.9. We obtain a satellite mean occupation function which agrees with physically motivated ELG models only if we introduce central-satellite conformity, meaning that the satellite occupation is conditioned by the presence of central galaxies of the same type. To achieve in addition a good modeling of the clustering between 0.1 and 1 Mpc/h in rp, we allow for ELG positioning outside of the halo virial radius and find 0.5% of ELGs residing in the outskirts of halos. Furthermore, the satellite velocity dispersion inside halos is found to be ~ 30% larger than that of the halo dark matter particles. These are the main findings of our work. We investigate assembly bias as a function of halo concentration, local density or local density anisotropies and observe no significant change in our results. We split the data sample in two redshift bins and report no significant evolution with redshift. Lastly, changing the cosmology in the modeling impacts only slightly our results.
19 pages, 1 figure. Code available at this https URL , table and figure data available at this https URL
We present an extended validation of semi-analytical, semi-empirical covariance matrices for the two-point correlation function (2PCF) on simulated catalogs representative of Luminous Red Galaxies (LRG) data collected during the initial two months of operations of the Stage-IV ground-based Dark Energy Spectroscopic Instrument (DESI). We run the pipeline on multiple extended Zel'dovich (EZ) mock galaxy catalogs with the corresponding cuts applied and compare the results with the mock sample covariance to assess the accuracy and its fluctuations. We propose an extension of the previously developed formalism for catalogs processed with standard reconstruction algorithms. We consider methods for comparing covariance matrices in detail, highlighting their interpretation and statistical properties caused by sample variance, in particular, nontrivial expectation values of certain metrics even when the external covariance estimate is perfect. With improved mocks and validation techniques, we confirm a good agreement between our predictions and sample covariance. This allows one to generate covariance matrices for comparable datasets without the need to create numerous mock galaxy catalogs with matching clustering, only requiring 2PCF measurements from the data itself. The code used in this paper is publicly available at https://github.com/oliverphilcox/RascalC.
8 pages, 5 figures, submitted to MNRAS on 6/8, comments welcome
23 pages, 9 figures, submitted to ApJL
19 pages + references, 5 figures
21 pages, 16 figures. Accepted for publication in MNRAS on June 5th 2023
accepted for publication in MNRAS letters
16 pages, 5 figures
arXiv admin note: substantial text overlap with arXiv:2111.06205 , arXiv:1905.11907
21 pages, 10 figures. Submitted to ApJL
44 pages, 21 figures, submitted to ApJ
46 pages, 16 Figures, 7 Tables, Accepted for publication in ApJS
Accepted for publication in the book of contributions of the TMEX-2023: Theory meets experiments, January 5-11, 2023, Vietnam. DOI in formality
17 pages, submitted to MNRAS
42 pages, 16 figures, submitted to AJ
43 pages, 7 figures, 17 tables, submitted to AJ
68 pages, 56 figures, 22 tables. Submitted to the Astronomical Journal
23 pages, 23 figures
Submitted to MNRAS, comments welcome
22 pages, 18 figures
27 pages, 15 figures, submitted to ApJ
13 pages, 4 figures, to be submitted to ApJ
31 pages, 7 figures, 3 tables, Accepted for publication in ApJ
21 pages, 22 figures, submitted to MNRAS
23 pages, 3 figures, 3 tables
Online published by Journal Science on June 8, 2023
13 pages, 10 figures, 3 tables, submitted to MNRAS
To appear in "Handbook of X-ray and Gamma-ray Astrophysics" by Springer (Eds. C. Bambi and A. Santangelo)
8 pages, 6 figures, accepted by ApJ
16 pages, 8 figures, and 8 tables. Comments welcome
13 pages, 11 figures and 6 tables. Accepted for publication by MNRAS
16 pages, 12 figures, accepted for publication in A&A
15 pages, 7 figures, 1 table. Submitted to MNRAS
9 pages, 3 figures, 2 tables. Published in Research in Astronomy and Astrophysics
44 pages, 6 figures, ISSI Workshop "Solar and stellar dynamos"
Accepted for publication in ApJ
18 pages, 16 figures. Accepted for publication in A&A
11 pages, 5 figures, to appear in the Astrophysical Journal Letters
18 pages, 22 figures, 3 tables. Accepted for publication in A&A
Paper accepted by the IEEE Antennas and Wireless Propagation Letters on May 23, 2023
6 pages, 4 figures
9 pages, 6 figures
25 pages, 16 figures, 3 tables, accepted for publication in PASA 2nd June 2023
27 pages, 23 figures, 6 tables; accepted for publication in ApJS. Full Table 3 is in Zenodo at this https URL
22 pages, 23 figures, accepted for publication in MNRAS
Accepted to AJ; 20 pages, 13 figures, 5 Tables
Accepted in MNRAS. 8 pages, 3 figures
Accepted for publication in Astronomy and Astrophysics, 11 pages, 27 figures, 3 tables
15 pages, 13 figures, submitted to MNRAS
Accepted for publication in A&A
Accepted for publication in A&A Letters
23 pages, 15 figures, 2 tables, accepted for publication in AJ
Accepted for publication in A&A. 11 pages, 9 figures
31 pages. 24 figures, 4 tables
10 pages, 9 figures
Accepted for publication in MNRAS
Accepted for publication in Physical Review D. 21 pages, 10 figures. arXiv admin note: substantial text overlap with arXiv:2303.05298
13 pages, 9 figures, accepted for publication at MNRAS
Accepted for publication in MNRAS
Submitted for publication in A&A. 22 pages, 14 figures (+7 additional figures in the Appendix). The input models and synthetic spectra will be made available at this https URL once the paper is accepted. Constructive comments welcome
12 pages, 14 figures, accepted in MNRAS
15 pages, 10 figures, 1 table. Accepted for publication in MNRAS
12 pages, 2 figures
9 pages, 2 figures. Accepted for publication in the Astrophysical Journal
39 pages, 85 figure files, accepted for publication in PASA. For associated data see this https URL
28 pages, 22 figures, 10 tables (including 3 appendices). Resubmitted to MNRAS following corrections
22 pages, 21 figures
12 pages, 5 figures, 3 tables
17 pages, 11 figures
12 pages, 5 figures
12 pages, 6 figures, LaTeX
5 pages
21 pages, 1 figure; undertaken in 2018
20 pages, 6 figures
16 pages, 15 figures
17 pages, 5 figures, 2 tables. Comments are welcome