Presents the first public synthetic spectra database for novae and demonstrates a PCA/AI framework for retrieving physical properties from limited spectral data as a proof of concept for future surveys.
Title resolution pending
37 Pith papers cite this work. Polarity classification is still indexing.
37
Pith papers citing it
representative citing papers
Satellite anisotropy transitions from central galaxy morphology below 0.3 R_200c to halo triaxiality between 0.3-2 R_200c to filament alignment beyond 2 R_200c, with kinematic origins shown by trajectory analysis in SIMBA.
A single end-to-end Transformer model unifies stellar labels from heterogeneous spectroscopic surveys into a self-consistent scale without post-hoc recalibration.
Probabilistic PCA latent-space model with Bayesian inference reconstructs TNO near-IR spectra from photometry, achieving 95% credible-interval coverage and supporting taxonomy plus survey optimization.
First obliquity measurement in an M dwarf binary shows alignment, with tentative evidence that aligned orbits around cool stars and wide separations also hold for brown dwarfs and binaries.
JWST transit observations refine ephemerides of TOI 700 d and e by an order of magnitude in period precision but yield only upper limits on exomoons larger than Ganymede due to 46 ppm correlated noise attributed to stellar granulation.
3D NLTE sodium abundance corrections relative to 1D LTE are typically negative and larger for saturated lines in giants, reaching -0.7 dex, with a public grid released for use.
A gap is identified in the mass-period distribution for sub-Neptune planets with P < 20 days, with Gaussian mixture models favoring a bimodal distribution (BIC reduction of 19.9).
A multi-parameter fuzzy classification using sigmoidal membership functions derived from Gaussian mixture models on SDSS data yields less contaminated red and green-valley samples with clearer physical trends than hard-boundary methods.
FICO procedure yields average precisions of 2.3% mass, 0.82% radius, 6.9% age and 0.49% mean density for 95 solar-like stars, outperforming direct frequency fitting for stars above 1.15 solar masses or 6050 K.
Machine learning on precursor emission in 366 GRBs yields a simple prompt-only index EPI that separates merger-driven from collapsar-driven bursts at a threshold of 6.2.
The Sparks survey divides local galaxies into first-burst, second-burst, and post-burst groups, finding AGN predominantly in second-burst systems and implying a short delay before black hole accretion.
No change detected in ice absorption bands of EC 53 between phases, with ice abundances higher than typical for embedded protostars.
PITA, a new semi-supervised deep learning algorithm, outperforms prior photo-z methods by using a triple-task loss on images, colors, and available redshifts to produce a smooth latent space.
A new deep-to-wide transfer function reduces mean redshift biases in Euclid tomographic bins by matching reference sample color distributions to the wide survey.
Random forest models using early magnitudes, time differences, and new magnitude rates identify up to 13.6% of true broad-lined Ic supernovae in unseen test data.
A blind 12D chemo-dynamical clustering analysis with UMAP and HDBSCAN on SDSS-V DR19 and Gaia DR3 data recovers seven known halo substructures and reports five new tightly bound candidates FO1-FO5.
KNN imputation gives highest photo-z accuracy under ideal random missingness with complete training data, while SAITS is more robust for incomplete training sets and realistic mixed missingness patterns in CSST data.
EP J174942.2-384834 is classified as a very faint X-ray transient black hole candidate based on its hard X-ray spectra, optical/UV brightening correlated with X-rays, and lack of radio emission.
An ensemble ML framework achieves 90.7% morphology classification accuracy and R² values of 0.77–0.92 for key parameters on held-out test data, with external validation against OGLE and Kepler catalogs.
A transit search on TESS Cycle 1 full-frame images produced 10,091 new planet candidates down to T=16 mag, more than doubling the known TESS total, with one hot Jupiter confirmed by radial velocity.
The Sagittarius dwarf progenitor had a metallicity gradient of roughly -0.3 dex per kpc prior to infall.
ASTRAFier is a Transformer-BiLSTM-CNN model that classifies stellar variability from light curves, reporting 94.26% accuracy on Kepler data and 88.22% on TESS, then applied to 2.8 million TESS curves to release a catalog.
IRMaGiC extends redMaGiC to z=1-2 using joint LSST optical and Roman infrared data, reducing photo-z scatter and bias for LRGs.