LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2026-07-27T22:25:44.366180

Column	Type
Nk2	integer
analytic_conductor	double precision
analytic_rank	smallint
analytic_rank_proved	boolean
artin_degree	integer
artin_field	numeric[]
artin_field_label	text
artin_image	text
atkin_lehner_eigenvals	integer[]
atkin_lehner_string	text
char_conductor	integer
char_degree	integer
char_is_minimal	boolean
char_is_real	boolean
char_orbit_index	smallint
char_orbit_label	text
char_order	integer
char_parity	smallint
char_values	jsonb
cm_discs	integer[]
conrey_index	integer
dim	integer
embedded_related_objects	text[]
field_disc	numeric
field_disc_factorization	numeric[]
field_poly	numeric[]
field_poly_is_cyclotomic	boolean
field_poly_is_real_cyclotomic	boolean
field_poly_root_of_unity	integer
fricke_eigenval	smallint
has_non_self_twist	smallint
hecke_cutters	jsonb
hecke_orbit	integer
hecke_orbit_code	bigint
hecke_ring_generator_nbound	integer
hecke_ring_index	numeric
hecke_ring_index_factorization	numeric[]
hecke_ring_index_proved	boolean
inner_twist_count	integer
inner_twists	integer[]
is_cm	boolean
is_largest	boolean
is_maximal	boolean
is_polredabs	boolean
is_rm	boolean
is_self_dual	boolean
is_self_twist	boolean
is_twist_minimal	boolean
label	text
level	integer
level_is_powerful	boolean
level_is_prime	boolean
level_is_prime_power	boolean
level_is_prime_square	boolean
level_is_square	boolean
level_is_squarefree	boolean
level_primes	integer[]
level_radical	integer
minimal_twist	text
nf_label	text
prim_orbit_index	smallint
projective_field	numeric[]
projective_field_label	text
projective_image	text
projective_image_type	text
qexp_display	text
related_objects	text[]
relative_dim	integer
rm_discs	integer[]
sato_tate_group	text
self_twist_discs	integer[]
self_twist_type	smallint
space_label	text
trace_display	numeric[]
trace_hash	bigint
trace_moments	numeric[]
trace_zratio	numeric
traces	numeric[]
weight	smallint
weight_parity	smallint

mf_newforms • Show schema

{'Nk2': 3552, 'analytic_conductor': 7.0907156994896985, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 296, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 4, 'char_parity': 1, 'char_values': [888, 4, [223, 445, 593, 409], [2, 2, 4, 3]], 'cm_discs': [], 'conrey_index': 43, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [8, -4, 1]], [11, [16, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9008367519400824, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 296, 10, 1, 4, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '888.2.r.c', 'level': 888, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'minimal_twist': '888.2.r.a', 'nf_label': '2.0.4.1', 'prim_orbit_index': 10, 'qexp_display': 'q+(-i-1)q^{2}-i q^{3}+2 i q^{4}+(2 i+2)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '888.2.r', 'trace_display': [-2, 0, 4, 0], 'trace_hash': 1960732683588906195, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.900', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.227', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '93.283', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.271', 'prec': 17}, 'traces': [2, -2, 0, 0, 4, -2, 0, 4, -2, 0, 0, 4, 2, -4, 4, -8, -4, 2, 2, -8, -4, -8, 4, -4, 0, 0, 0, 8, 4, -8, 14, 8, -8, 8, 8, 0, 2, -4, 2, 16, 0, 4, 6, 16, -4, 0, 0, 0, 6, 6, 4, -4, 0, 2, 16, -8, -2, -8, -16, 8, 2, -28, 0, 0, 0, 8, 0, -8, 4, -16, 0, -4, 0, -14, 6, 4, -16, -4, 6, -16, 2, 4, 0, 0, -16, -12, -4, -16, 0, 0, 4, -8, -14, -8, 8, 8, 6, -6, 0, -12, -20, 0, 18, 8, -8, -4, -40, -4, 10, -32, -12, 0, 8, 0, 0, 8, -2, 32, 8, 0, -10, -4, 4, 28, 8, 4, 0, -16, -6, 8, 0, 0, -4, 4, -4, 0, 12, -8, 0, 16, -8, 0, 8, 8, 16, -12, 0, 24, 0, -6, -4, 0, 4, 16, 56, 4, 0, 0, -4, 0, 8, -2, -14, -8, -16, 0, 32, -8, 0, 16, -2, 12, -4, 0, 12, 0, 16, 0, -28, 8, 0, -8, -2, 16, 28, 0, 16, 16, 4, -8, 24, -16, -26, -12, 8, 0, 0, 8, 6, 12, 4, 20, -8, -8, -8, -36, -4, -8, -8, 0, -44, 8, 0, 40, 24, 4, -28, 0, -12, 32, -8, 10, 0, 16, 0, 0, 4, 4, 0, 16, 0, 0, 0, 0, 16, -32, 6, 0, 20, -16, -2, 10, 0, 4, 12, -4, 4, 0, 0, -16, 20, -8, 16, -32, 0, 32, -24, 0, -24, -16, -4, 0, 24, -16, 8, 0, 0, -8, 0, 8, 0, 16, -4, -12, 24, 8, -38, 28, -14, 0, 0, 8, -14, 0, 0, -16, 8, -8, 0, -16, -6, 24, 0, -6, -64, -20, 8, 44, 0, 0, -12, 4, 0, -8, 8, -8, 0, 0, -18, -56, -24, 0, -18, -20, -8, -12, 12, 4, -16, 32, 0, -16, 0, 0, -6, 0, 10, 8, -16, 0, 38, 0, -2, 0, -8, 16, 0, -22, 8, 0, -56, 4, 0, 0, 16, 4, -20, 8, 0, -12, -2, 32, 32, 0, 0, 0, 8, 0, 0, -16, 0, 44, 0, 8, 24, 0, 0, -16, 0, -48, -8, 28, -56, 0, -8, -16, 8, -4, 56, 0, -32, 0, 20, 16, -32, 52, -6, 12, 32, -8, -16, 12, 0, -36, 0, -16, 16, -12, -4, 0, -36, -4, 28, 0, 4, 0, -48, 16, 18, 16, 0, 36, 32, 0, 0, 0, 28, 0, 72, 16, -42, 44, 0, -8, -12, 0, -4, 0, -8, -24, -8, 0, 32, 0, 0, -20, 8, 12, 42, 0, -6, 8, 0, 4, 0, 32, 44, -32, -56, -6, 16, -16, 0, -8, 16, -8, 30, 56, -4, -32, -32, 16, 10, -16, 0, -12, -56, 4, 8, -32, -20, 0, -24, -12, 6, -16, 0, 0, -40, 32, 14, 4, -8, 0, 24, -2, -42, 0, -14, 0, -56, 0, 0, -4, -16, -56, 0, 0, -54, 16, 32, 0, -28, 8, -40, -32, -22, 64, 76, 16, -24, -32, 2, 48, 72, 12, -32, 20, 0, 16, 0, 8, -42, 0, 0, -24, 0, 32, 0, -16, 16, 8, -4, 0, -80, 8, -28, 20, 0, -8, 42, 44, 44, -32, 0, 0, -18, 0, -2, -24, 0, 0, 12, 76, -20, -56, -16, 28, 12, -32, 16, 0, 0, 0, 0, 0, 0, 0, -32, -8, 8, 16, 24, -8, -12, 0, 26, 18, 26, 0, 0, 0, -16, -24, 0, -4, -28, 12, 0, 64, -36, -8, -12, -8, 0, -88, -6, 8, 0, 12, 56, 0, 0, 0, -20, 20, -18, 16, -8, -8, 8, 8, 52, 8, 8, -32, 0, 0, 0, 0, -4, 48, 0, -8, 62, 36, -8, 40, 20, 16, -38, 24, 0, -12, 64, 0, 6, 0, 0, -64, 20, 40, -6, 16, 0, 8, -16, 4, 64, 12, -28, 28, 48, -20, 0, 0, 0, 16, 0, 32, -42, -76, 0, 0, 0, 14, 16, -64, 32, 16, -8, -16, -40, 64, -6, 44, -36, -16, -12, -32, -4, 0, -40, -4, 24, -40, 56, -24, 4, -16, 0, 0, 16, 0, -56, -16, -8, -28, -12, 0, -40, 4, -10, -64, -16, 0, 0, -32, 46, 0, -6, 0, 56, -16, 32, 56, 20, 48, 0, 16, -36, 34, 2, -88, 12, 10, -62, 0, -2, -48, 0, 4, -4, -64, 12, 0, 16, -4, 0, 40, 0, 8, 0, -56, -88, 56, 0, -32, 0, 0, 48, 0, 20, -8, -8, 0, 42, -56, -16, 16, 0, 32, 20, -48, 16, 0, -32, 0, 46, 0, 24, -52, 0, 12, 42, 0, -4, 0, 4, 0, 0, 16, 4, -24, 40, 0, -76, 72, 0, 24, 16, 16, 4, -16, -8, 12, 60, 8, 16, -24, 0, 0, -48, 0, 32, -28, 20, -40, 20, 0, -56, 16, 44, 40, 0, -16, 0, 0, -4, -16, 0, -12, 0, 0, 0, 0, 56, 8, 66, 0, 38, 16, -12, -28, 0, 16, 14, -72, 72, -32, 0, 84, 0, 0, 44, 8, 0, 0, -14, 0, 28, 0, 6, 0, -8, -80, 80, 0, 42, 0, 0, 16, 0, -8, -8, -32, 18, 56, 24, -16, -4, 40, -6, -8, -16, 0, 0, -84, -4, -64, 0, 6, -38, 0, 0, 24, 72, -28, -64, 0, 0, -64, -8, -44, 0, 32, 8, 112, 0, 12, 8, -16, -12, 32, -88, 4, 30, 8, 20, -16, -68, 8, 0, -60, 0, -112, 0, 0, 46, 32, 8, 0, 0, -32, 36, 0, -18, 32, 0, -56, 6, 24, 24, 112, 0, -8, -44, -8, 18, 32, 0, 20, -8, 64, 8, 0, 40, 12, 12, 0, 0, 32, 0, 4, 0, -40, -16, 0, 0, -32, 0, -24, 40, -4, -104, 0, -34, -20, 8, -24, -96, 4, 56, 0, 6, -8, -20, 28, 0, -24, -10, 56, -96, 8, 72, 16, 0, 0, 24, 32, -22, 112, -38, 0, 24, 0, -22, 0, 12, 0], 'weight': 2, 'weight_parity': 1}

Column	Type
an_normalized	double precision[]
angles	double precision[]
char_orbit_index	smallint
conrey_index	integer
dual_conrey_index	integer
dual_embedding_index	integer
dual_embedding_m	integer
embedding_index	integer
embedding_m	integer
embedding_root_imag	double precision
embedding_root_real	double precision
hecke_orbit	integer
hecke_orbit_code	bigint
label	text
level	integer
weight	smallint

mf_hecke_cc • Show schema

{'an_normalized': [[1.0, 0.0], [-0.7071067811865476, -0.7071067811865476], [0.0, -0.5773502691896257], [0.0, 1.0], [0.8944271909999159, 0.8944271909999159], [-0.408248290463863, 0.408248290463863], [0.0, -0.7559289460184545], [0.7071067811865476, -0.7071067811865476], [-0.3333333333333333, 0.0], [0.0, -1.2649110640673518], [0.0, -1.2060453783110545], [0.5773502691896257, 0.0], [0.2773500981126146, 0.2773500981126146], [-0.5345224838248488, 0.5345224838248488], [0.5163977794943223, -0.5163977794943223], [-1.0, 0.0], [-0.48507125007266594, 0.48507125007266594], [0.23570226039551584, 0.23570226039551584], [0.22941573387056177, -0.22941573387056177], [-0.8944271909999159, 0.8944271909999159], [-0.4364357804719848, 0.0], [-0.8528028654224418, 0.8528028654224418], [0.41702882811414954, 0.41702882811414954], [-0.408248290463863, -0.408248290463863], [0.0, 0.6], [0.0, -0.3922322702763681], [0.0, 0.19245008972987526], [0.7559289460184545, 0.0], [0.3713906763541037, -0.3713906763541037], [-0.7302967433402214, 0.0], [1.2572371141874243, -1.2572371141874243], [0.7071067811865476, 0.7071067811865476], [-0.6963106238227914, 0.0], [0.6859943405700354, 0.0], [0.6761234037828132, -0.6761234037828132], [0.0, -0.3333333333333333], [0.1643989873053573, -0.9863939238321437], [-0.3244428422615251, 0.0], [0.16012815380508713, -0.16012815380508713], [1.2649110640673518, 0.0], [0.0, 0.31234752377721214], [0.3086066999241838, 0.3086066999241838], [0.457495710997814, -0.457495710997814], [1.2060453783110545, 0.0], [-0.29814239699997197, -0.29814239699997197], [0.0, -0.5897678246195885], [0.0, -0.5834599659915782], [0.0, 0.5773502691896257], [0.42857142857142855, 0.0], [0.4242640687119285, -0.4242640687119285], [0.28005601680560194, 0.28005601680560194], [-0.2773500981126146, 0.2773500981126146], [0.0, -0.27472112789737807], [0.13608276348795434, -0.13608276348795434], [1.0787197799411874, -1.0787197799411874], [-0.5345224838248488, -0.5345224838248488], [-0.13245323570650439, -0.13245323570650439], [-0.5252257314388902, 0.0], [-1.0415112878465909, 1.0415112878465909], [0.5163977794943223, 0.5163977794943223], [0.12803687993289598, -0.12803687993289598], [-1.778001778002667, 0.0], [0.0, 0.25197631533948484], [0.0, -1.0], [0.0, 0.4961389383568338], [0.49236596391733095, 0.49236596391733095], [0.0, 0.24433888871261045], [-0.48507125007266594, -0.48507125007266594], [0.2407717061715384, -0.2407717061715384], [-0.9561828874675149, 0.0], [0.0, 0.0], [-0.23570226039551584, 0.23570226039551584], [0.0, -0.7022468831767834], [-0.813733471206735, 0.5812381937190964], [0.34641016151377546, 0.0], [0.22941573387056177, 0.22941573387056177], [-0.9116846116771036, 0.0], [-0.22645540682891915, 0.0], [0.3375263702778072, 0.3375263702778072], [-0.8944271909999159, -0.8944271909999159], [0.1111111111111111, 0.0], [0.2208630521496931, -0.2208630521496931], [0.0, 0.0], [0.0, -0.4364357804719848], [-0.8677218312746247, 0.0], [-0.6469966392206304, 0.0], [-0.21442250696755896, -0.21442250696755896], [-0.8528028654224418, -0.8528028654224418], [0.0, 0.0], [0.0, 0.4216370213557839], [0.20965696734438366, -0.20965696734438366], [-0.41702882811414954, 0.41702882811414954], [-0.7258661863112977, -0.7258661863112977], [-0.41256849850351734, 0.41256849850351734], [0.41039134083406165, 0.0], [0.408248290463863, -0.408248290463863], [0.30460384954008574, -0.30460384954008574], [-0.30304576336566325, -0.30304576336566325], [0.0, 0.40201512610368484], [-0.6, 0.0]], 'angles': [None, None, -0.016023554212243732, -0.43831207139278755, -0.3969814168498227, -0.09358352090549941, -0.4307210651366738, -0.3490670582444335, -0.07735951006001172, -0.3327078971925616, -0.20070009354131718, None, 0.024957991476904674, -0.3225704973985908, -0.45288456666214, -0.47806904970820613, 0.2567519519386084, -0.36057103081184777, 0.019492566576664754, 0.0, -0.4428998743900459, -0.08664475025322982, -0.25, -0.125, -0.3404492805876085, -0.33287768587526073, -0.2671290969593439, -0.4588347811113096, -0.07001610151364333, -0.08213638556961532, -0.37437339926085766, -0.125, -0.20874704869761704, 0.1011730827875957, 0.17863977633419612, -0.2629661839913462, -0.4346711304351999, -0.1883641614492348, 0.044727663186420304, -0.2621120140277114, -0.49243095541311355, 0.15235446048651635, -0.019785098880592336, -0.49007867319787873, -0.38921358420014895, -0.35097571995729293, -0.38673395145220835, 0.08997979922203209, -0.36003895250388956, 0.18802885271859418, -0.46851528426902744, -0.049392291250495546, -0.38225181803121805, -0.05136683073385621, -0.4637721921105263, -0.18968297813100318, 0.04930406516925581, 0.1164679926050222, 0.2745178560912568, -0.375, -0.1725319089634731, -0.49069677188133487, 0.018206588272253903, -0.45489150042857, -0.43356258669328085, -0.22305435954350405, -0.24277762908088027, 0.16845068460335758, -0.18696829571466247, -0.43887261301390645, -0.022151879256603946, 0.10915739206644413, -0.342677886053133, -0.3790552991417617, -0.12226989420892052, -0.06616400720129681, -0.027767799647124964, -0.21783036471917297, -0.23462404207849727, -0.07405179681949978, -0.07898621897978135, 0.25378182583906167, -0.39675100126796703, -0.18719461380173774, -0.24963745901218468, 0.04600819264779594, 0.3170192758472266, -0.2923722202998234, -0.21332886561997386, -0.0987300982049139, 0.3093750120287057, -0.23681529197827159, -0.24247221999250274, -0.3588440918269227, -0.4618797105526927, -0.19775841032477945, -0.09064183697849214, -0.38587838041649813, -0.4874715341907151, -0.014794405981765723], 'char_orbit_index': 18, 'conrey_index': 475, 'dual_conrey_index': 43, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 2, 'embedding_root_imag': 1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 3, 'hecke_orbit_code': 9008367519400824, 'label': '888.2.r.c.475.1', 'level': 888, 'weight': 2}

Column	Type
ALdims	integer[]
ALdims_eis_new	integer[]
ALdims_eis_old	integer[]
ALdims_old	integer[]
Nk2	integer
a4_dim	integer
a5_dim	integer
analytic_conductor	double precision
char_conductor	integer
char_degree	integer
char_is_real	boolean
char_orbit_index	smallint
char_orbit_label	text
char_order	integer
char_parity	smallint
char_values	jsonb
conrey_index	integer
cusp_dim	integer
dihedral_dim	integer
dim	integer
eis_dim	integer
eis_new_dim	integer
hecke_cutter_primes	integer[]
hecke_orbit_code	bigint
hecke_orbit_dims	integer[]
label	text
level	integer
level_is_powerful	boolean
level_is_prime	boolean
level_is_prime_power	boolean
level_is_prime_square	boolean
level_is_square	boolean
level_is_squarefree	boolean
level_primes	integer[]
level_radical	integer
mf_dim	integer
mf_new_dim	integer
num_forms	smallint
plus_dim	integer
prim_orbit_index	smallint
relative_dim	integer
s4_dim	integer
sturm_bound	integer
trace_bound	integer
trace_display	numeric[]
traces	numeric[]
weight	smallint
weight_parity	smallint

mf_newspaces • Show schema

{'Nk2': 3552, 'analytic_conductor': 7.0907156994896985, 'char_conductor': 296, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 18, 'char_orbit_label': 'r', 'char_order': 4, 'char_parity': 1, 'char_values': [888, 4, [223, 445, 593, 409], [2, 2, 4, 3]], 'conrey_index': 43, 'cusp_dim': 296, 'dim': 152, 'eis_dim': 16, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 11], 'hecke_orbit_code': 1168264659832, 'hecke_orbit_dims': [2, 2, 2, 2, 72, 72], 'label': '888.2.r', 'level': 888, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 37], 'level_radical': 222, 'mf_dim': 312, 'mf_new_dim': 152, 'num_forms': 6, 'prim_orbit_index': 10, 'relative_dim': 76, 'sturm_bound': 304, 'trace_bound': 10, 'trace_display': [4, 0, 0, 0], 'traces': [152, 4, 0, 0, 0, 0, 0, 4, -152, 0, 0, 0, 0, 4, 0, 8, 8, -4, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24, 0, 16, 0, 0, 0, 96, 0, 0, 0, -20, 16, 40, 0, -16, 0, 0, -120, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 44, 0, 0, 0, 0, 0, -24, 0, -36, 0, 72, 0, -4, 0, -20, 0, -104, 0, 0, 0, -40, 152, 64, 0, 16, 0, 48, 0, 64, -40, 0, 0, -24, 0, 48, 0, 40, 8, -140, 0, 64, 0, 0, 0, 0, 0, -40, 32, 0, 0, 0, 0, 16, -104, 0, 0, 92, 0, 80, 0, 112, -280, 0, 0, 48, 0, -4, 0, 88, 16, 24, 80, 0, 0, 20, 0, 0, -128, 0, 0, -4, 0, -200, 0, -8, 16, 36, 0, -40, 0, -60, 0, 0, -8, 16, 0, -24, 0, -192, 0, -32, 96, 4, 176, -232, 0, 96, 0, -64, 0, -44, 0, 24, 0, -48, 0, 0, 0, 0, -112, 0, 0, -56, 0, 0, -24, 64, -112, 0, 0, 112, 0, 0, 24, -120, -160, 0, 0, 8, 0, -12, 0, -8, 16, 16, 0, 0, 0, -24, -32, 0, 64, 0, 0, 0, 0, 0, 32, 104, 0, 136, 0, 8, 0, 188, 0, 0, 192, 8, 0, -276, 0, -32, 0, 0, 96, 12, 0, -240, 0, -156, 8, -60, 0, -176, 0, 0, 0, -72, 0, 0, -208, 0, 0, -64, 0, -40, 104, 0, -192, 424, 0, 0, 0, -32, -112, -128, -96, -96, 0, 0, 0, 84, 32, -48, 128, 12, 0, 68, 0, 0, 200, -72, -96, 0, 0, 0, 0, -24, 0, 188, 96, -24, 0, 80, 0, -152, 0, 216, 0, 0, 0, 232, 0, 216, 16, -16, 0, 144, 0, -160, 0, -40, -56, 164, 0, 208, 0, -104, 0, -116, 0, 128, 0, 0, 0, 0, 0, -24, 0, -40, 208, 0, 0, 200, 0, 0, 0, -228, -80, 96, 0, -96, 0, 0, 0, -48, -144, 56, 0, -220, 0, -40, -40, 0, 176, 32, 0, 0, 0, 0, 0, 36, 0, -344, 0, 112, 0, -40, 0, 112, 224, -72, 0, 0, 0, -160, 208, 20, 0, -344, 0, -24, 0, 28, -64, 312, -16, 304, 0, 144, 0, -124, 0, -72, 0, -40, 0, 0, 0, 0, 24, 52, 128, -296, 0, 0, 0, 112, -56, 0, 0, 224, 0, 16, 0, -232, 64, 0, 0, 84, 0, 48, 0, 8, 104, -16, 320, 0, 0, 88, 0, 0, 0, 0, 0, 120, 0, -140, 0, 200, 120, -216, 0, -24, 0, -256, 0, 0, 200, 0, -192, -368, 0, -8, 0, 40, -72, 56, 0, -304, 0, 256, 0, -188, 0, 184, -320, 0, 0, 128, 0, 0, 192, 0, 16, 36, 0, -152, 0, 0, 152, -592, 32, 0, 0, 0, 0, -88, -48, 224, 0, 0, 0, 72, 0, -192, 0, 32, 32, 324, 0, 0, 0, 0, 32, 0, 0, 0, 0, 36, 0, 112, -16, 8, -448, 160, 0, 236, 0, 384, 0, 0, -144, 364, 0, -328, 0, -40, 0, -24, 0, -184, 0, 48, 0, 136, 32, -432, 0, -44, 0, 60, 0, 352, 0, 0, 112, 0, 0, 24, 0, 48, 0, 0, 240, 240, 0, 0, 0, -236, 0, -136, -112, -176, 0, 0, 0, -256, -104, -80, 416, -312, 0, 208, 0, 0, 24, -144, 192, 0, 0, 0, 0, 104, 0, 240, 352, 128, 0, 84, 0, -112, 16, 24, 0, 0, 0, 360, 0, 160, -48, 560, 0, -136, 0, -56, 0, 600, -32, -448, 144, 36, 0, 56, 0, -104, 0, 192, 0, 0, 0, 0, 0, 64, -136, 456, -96, 0, 0, -72, 0, 0, 0, -320, 112, 88, 0, 376, 0, 0, -304, -144, -64, 76, 0, -128, 0, 4, -160, 0, 0, 72, 0, 0, 0, 0, 0, 16, 0, -248, 0, -152, 0, -248, 0, 20, -512, -316, 0, 0, 0, 60, 208, 272, 0, -120, 0, -112, 0, 176, 0, 32, -144, 104, 0, 160, 0, -56, -208, 36, 0, 64, 0, 0, 0, 0, 144, -124, -256, -456, 0, 0, 0, -808, -32, 0, 0, 104, 0, 192, 0, -48, 160, 0, -192, 232, 0, 232, 0, 40, -128, -388, -96, 0, 0, -8, 0, 0, -152, 0, 0, 40, 0, -88, 0, -184, -128, -64, 0, 284, 0, -456, 0, 0, 32, -356, 0, -576, 0, 80, 0, 144, 32, 112, 352, -16, 0, -20, 0, -536, 0, 144, 144, 132, 0, 120, 0, 0, -136, 0, 112, -232, 0, -48, 0, 0, 0, -240, -256, 0, 0, 172, 0, -240, -128, 160, -416, 0, 0, 232, 0, -64, 48, 300, -128, 176, 0, 0, 0, -44, 40, 0, 224, 0, 0, -240, 0, 440, 216, 0, 224, -36, 0, 160, 0, 80, 0, 0, 0, 120, 0, -224, 0, 784, 0, 184, -96, 24, 0, -1064, 0, -440, -136, -300, 0, 112, 0, 96, 0, 256, 0, 0, -32, 0, 0, -48, 0, 440, 112, 0, -128, -8, 0, 0, 0, -176, 72, -208, -272, 704, 0, 0, 0, -40, 80, -164, -192, -256, 0, -76, 0, 0, -8, -72, 224, 0, 0, 0, 0, 368, 0, 140, -352, -368, 0, 504, 0, 204, -192, 740, 0, 0, 0, -104, 0, 592, 0, 360, 0, -64, 0, -96, 0, 312, 240, -272, -64, 0, 0, -224, 0, 48, 0, -32, 0, 0, 0, 0, 0, -136, 96, 496, 48, 0, 0, 816, 0, 0, 0, -104, -464, 144, 0, -144, 0, 0, -224, -312, 0, 264, 0, -44, 0, -292, 0, 0, 240, -40, 0, 0, 0, 0, 0, 40, 0, -96, 0, 440, 0, -304, 0, -496, -32, -192, 0, 0, 0, -580, 0, 688, 256, 0, 0, 24, 0, 208, 168, -128, 64, -96, 0, 344, 0, 112, 32, 20, 0, -600, 0, 0, 0, 0, -112, 352, -512, -208, 0, 0, 0, -712], 'weight': 2, 'weight_parity': 1}

Column	Type
conductor	integer
degree	integer
order	integer
parity	smallint
source_conrey_index	integer
source_dim	integer
source_embedding_index	integer
source_hecke_orbit_code	bigint
source_is_minimal	boolean
source_label	text
source_level	integer
target_conrey_index	integer
target_dim	integer
target_embedding_index	integer
target_hecke_orbit_code	bigint
target_is_minimal	boolean
target_label	text
target_level	integer
twist_class_label	text
twist_class_level	integer
twisting_char_label	text
twisting_conrey_index	integer
weight	smallint

mf_twists_cc • Show schema

id: 41487655
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 475, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008367519400824, 'source_is_minimal': True, 'source_label': '888.2.r.c.475.1', 'source_level': 888, 'target_conrey_index': 475, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008367519400824, 'target_is_minimal': True, 'target_label': '888.2.r.c.475.1', 'target_level': 888, 'twist_class_label': '888.2.r.a.43.1', 'twist_class_level': 888, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 41487656
{'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 475, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008367519400824, 'source_is_minimal': True, 'source_label': '888.2.r.c.475.1', 'source_level': 888, 'target_conrey_index': 475, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 1168264659832, 'target_is_minimal': True, 'target_label': '888.2.r.a.475.1', 'target_level': 888, 'twist_class_label': '888.2.r.a.43.1', 'twist_class_level': 888, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 41487657
{'conductor': 37, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 475, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008367519400824, 'source_is_minimal': True, 'source_label': '888.2.r.c.475.1', 'source_level': 888, 'target_conrey_index': 43, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 1168264659832, 'target_is_minimal': True, 'target_label': '888.2.r.a.43.1', 'target_level': 888, 'twist_class_label': '888.2.r.a.43.1', 'twist_class_level': 888, 'twisting_char_label': '37.6', 'twisting_conrey_index': 6, 'weight': 2}
id: 41487658
{'conductor': 296, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 475, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 9008367519400824, 'source_is_minimal': True, 'source_label': '888.2.r.c.475.1', 'source_level': 888, 'target_conrey_index': 43, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9008367519400824, 'target_is_minimal': True, 'target_label': '888.2.r.c.43.1', 'target_level': 888, 'twist_class_label': '888.2.r.a.43.1', 'twist_class_level': 888, 'twisting_char_label': '296.43', 'twisting_conrey_index': 43, 'weight': 2}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 1454525
{'charpoly_factorization': [[[2, 2, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 2}
id: 1454526
{'charpoly_factorization': [[[1, 0, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 3}
id: 1454527
{'charpoly_factorization': [[[8, -4, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 5}
id: 1454528
{'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 7}
id: 1454529
{'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 11}
id: 1454530
{'charpoly_factorization': [[[2, -2, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 13}
id: 1454531
{'charpoly_factorization': [[[8, 4, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 17}
id: 1454532
{'charpoly_factorization': [[[2, -2, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 19}
id: 1454533
{'charpoly_factorization': [[[8, -4, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 23}
id: 1454534
{'charpoly_factorization': [[[8, -4, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 29}
id: 1454535
{'charpoly_factorization': [[[98, -14, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 31}
id: 1454536
{'charpoly_factorization': [[[37, -2, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 37}
id: 1454537
{'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 41}
id: 1454538
{'charpoly_factorization': [[[18, -6, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 43}
id: 1454539
{'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 47}
id: 1454540
{'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 53}
id: 1454541
{'charpoly_factorization': [[[128, 16, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 59}
id: 1454542
{'charpoly_factorization': [[[2, -2, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 61}
id: 1454543
{'charpoly_factorization': [[[4, 0, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 67}
id: 1454544
{'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9008367519400824, 'p': 71}
id: 1454545
{'charpoly_factorization': [[[36, 0, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 73}
id: 1454546
{'charpoly_factorization': [[[18, -6, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 79}
id: 1454547
{'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9008367519400824, 'p': 83}
id: 1454548
{'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 9008367519400824, 'p': 89}
id: 1454549
{'charpoly_factorization': [[[18, -6, 1], 1]], 'hecke_orbit_code': 9008367519400824, 'p': 97}

Column	Type
char_orbit_index	smallint
hecke_orbit	integer
label	text
level	integer
portrait	text
weight	smallint

mf_newform_portraits • Show schema

{'char_orbit_index': 18, 'hecke_orbit': 3, 'label': '888.2.r.c', 'level': 888, 'portrait': 'data:image/png;base64,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', 'weight': 2}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema
Showing the first 100 of 258 matching records in this table.

id: 31817569
{'hecke_orbit_code': 9008367519400824, 'n': 1, 'trace_an': 2}
id: 31817570
{'hecke_orbit_code': 9008367519400824, 'n': 2, 'trace_an': -2}
id: 31817571
{'hecke_orbit_code': 9008367519400824, 'n': 3, 'trace_an': 0}
id: 31817572
{'hecke_orbit_code': 9008367519400824, 'n': 4, 'trace_an': 0}
id: 31817573
{'hecke_orbit_code': 9008367519400824, 'n': 5, 'trace_an': 4}
id: 31817574
{'hecke_orbit_code': 9008367519400824, 'n': 6, 'trace_an': -2}
id: 31817575
{'hecke_orbit_code': 9008367519400824, 'n': 7, 'trace_an': 0}
id: 31817576
{'hecke_orbit_code': 9008367519400824, 'n': 8, 'trace_an': 4}
id: 31817577
{'hecke_orbit_code': 9008367519400824, 'n': 9, 'trace_an': -2}
id: 31817578
{'hecke_orbit_code': 9008367519400824, 'n': 10, 'trace_an': 0}
id: 31817579
{'hecke_orbit_code': 9008367519400824, 'n': 11, 'trace_an': 0}
id: 31817580
{'hecke_orbit_code': 9008367519400824, 'n': 12, 'trace_an': 4}
id: 31817581
{'hecke_orbit_code': 9008367519400824, 'n': 13, 'trace_an': 2}
id: 31817582
{'hecke_orbit_code': 9008367519400824, 'n': 14, 'trace_an': -4}
id: 31817583
{'hecke_orbit_code': 9008367519400824, 'n': 15, 'trace_an': 4}
id: 31817584
{'hecke_orbit_code': 9008367519400824, 'n': 16, 'trace_an': -8}
id: 31817585
{'hecke_orbit_code': 9008367519400824, 'n': 17, 'trace_an': -4}
id: 31817586
{'hecke_orbit_code': 9008367519400824, 'n': 18, 'trace_an': 2}
id: 31817587
{'hecke_orbit_code': 9008367519400824, 'n': 19, 'trace_an': 2}
id: 31817588
{'hecke_orbit_code': 9008367519400824, 'n': 20, 'trace_an': -8}
id: 31817589
{'hecke_orbit_code': 9008367519400824, 'n': 21, 'trace_an': -4}
id: 31817590
{'hecke_orbit_code': 9008367519400824, 'n': 22, 'trace_an': -8}
id: 31817591
{'hecke_orbit_code': 9008367519400824, 'n': 23, 'trace_an': 4}
id: 31817592
{'hecke_orbit_code': 9008367519400824, 'n': 24, 'trace_an': -4}
id: 31817593
{'hecke_orbit_code': 9008367519400824, 'n': 25, 'trace_an': 0}
id: 31817594
{'hecke_orbit_code': 9008367519400824, 'n': 26, 'trace_an': 0}
id: 31817595
{'hecke_orbit_code': 9008367519400824, 'n': 27, 'trace_an': 0}
id: 31817596
{'hecke_orbit_code': 9008367519400824, 'n': 28, 'trace_an': 8}
id: 31817597
{'hecke_orbit_code': 9008367519400824, 'n': 29, 'trace_an': 4}
id: 31817598
{'hecke_orbit_code': 9008367519400824, 'n': 30, 'trace_an': -8}
id: 31817599
{'hecke_orbit_code': 9008367519400824, 'n': 31, 'trace_an': 14}
id: 31817600
{'hecke_orbit_code': 9008367519400824, 'n': 32, 'trace_an': 8}
id: 31817601
{'hecke_orbit_code': 9008367519400824, 'n': 33, 'trace_an': -8}
id: 31817602
{'hecke_orbit_code': 9008367519400824, 'n': 34, 'trace_an': 8}
id: 31817603
{'hecke_orbit_code': 9008367519400824, 'n': 35, 'trace_an': 8}
id: 31817604
{'hecke_orbit_code': 9008367519400824, 'n': 36, 'trace_an': 0}
id: 31817605
{'hecke_orbit_code': 9008367519400824, 'n': 37, 'trace_an': 2}
id: 31817606
{'hecke_orbit_code': 9008367519400824, 'n': 38, 'trace_an': -4}
id: 31817607
{'hecke_orbit_code': 9008367519400824, 'n': 39, 'trace_an': 2}
id: 31817608
{'hecke_orbit_code': 9008367519400824, 'n': 40, 'trace_an': 16}
id: 31817609
{'hecke_orbit_code': 9008367519400824, 'n': 41, 'trace_an': 0}
id: 31817610
{'hecke_orbit_code': 9008367519400824, 'n': 42, 'trace_an': 4}
id: 31817611
{'hecke_orbit_code': 9008367519400824, 'n': 43, 'trace_an': 6}
id: 31817612
{'hecke_orbit_code': 9008367519400824, 'n': 44, 'trace_an': 16}
id: 31817613
{'hecke_orbit_code': 9008367519400824, 'n': 45, 'trace_an': -4}
id: 31817614
{'hecke_orbit_code': 9008367519400824, 'n': 46, 'trace_an': 0}
id: 31817615
{'hecke_orbit_code': 9008367519400824, 'n': 47, 'trace_an': 0}
id: 31817616
{'hecke_orbit_code': 9008367519400824, 'n': 48, 'trace_an': 0}
id: 31817617
{'hecke_orbit_code': 9008367519400824, 'n': 49, 'trace_an': 6}
id: 31817618
{'hecke_orbit_code': 9008367519400824, 'n': 50, 'trace_an': 6}
id: 31817619
{'hecke_orbit_code': 9008367519400824, 'n': 51, 'trace_an': 4}
id: 31817620
{'hecke_orbit_code': 9008367519400824, 'n': 52, 'trace_an': -4}
id: 31817621
{'hecke_orbit_code': 9008367519400824, 'n': 53, 'trace_an': 0}
id: 31817622
{'hecke_orbit_code': 9008367519400824, 'n': 54, 'trace_an': 2}
id: 31817623
{'hecke_orbit_code': 9008367519400824, 'n': 55, 'trace_an': 16}
id: 31817624
{'hecke_orbit_code': 9008367519400824, 'n': 56, 'trace_an': -8}
id: 31817625
{'hecke_orbit_code': 9008367519400824, 'n': 57, 'trace_an': -2}
id: 31817626
{'hecke_orbit_code': 9008367519400824, 'n': 58, 'trace_an': -8}
id: 31817627
{'hecke_orbit_code': 9008367519400824, 'n': 59, 'trace_an': -16}
id: 31817628
{'hecke_orbit_code': 9008367519400824, 'n': 60, 'trace_an': 8}
id: 31817629
{'hecke_orbit_code': 9008367519400824, 'n': 61, 'trace_an': 2}
id: 31817630
{'hecke_orbit_code': 9008367519400824, 'n': 62, 'trace_an': -28}
id: 31817631
{'hecke_orbit_code': 9008367519400824, 'n': 63, 'trace_an': 0}
id: 31817632
{'hecke_orbit_code': 9008367519400824, 'n': 64, 'trace_an': 0}
id: 31817633
{'hecke_orbit_code': 9008367519400824, 'n': 65, 'trace_an': 0}
id: 31817634
{'hecke_orbit_code': 9008367519400824, 'n': 66, 'trace_an': 8}
id: 31817635
{'hecke_orbit_code': 9008367519400824, 'n': 67, 'trace_an': 0}
id: 31817636
{'hecke_orbit_code': 9008367519400824, 'n': 68, 'trace_an': -8}
id: 31817637
{'hecke_orbit_code': 9008367519400824, 'n': 69, 'trace_an': 4}
id: 31817638
{'hecke_orbit_code': 9008367519400824, 'n': 70, 'trace_an': -16}
id: 31817639
{'hecke_orbit_code': 9008367519400824, 'n': 71, 'trace_an': 0}
id: 31817640
{'hecke_orbit_code': 9008367519400824, 'n': 72, 'trace_an': -4}
id: 31817641
{'hecke_orbit_code': 9008367519400824, 'n': 73, 'trace_an': 0}
id: 31817642
{'hecke_orbit_code': 9008367519400824, 'n': 74, 'trace_an': -14}
id: 31817643
{'hecke_orbit_code': 9008367519400824, 'n': 75, 'trace_an': 6}
id: 31817644
{'hecke_orbit_code': 9008367519400824, 'n': 76, 'trace_an': 4}
id: 31817645
{'hecke_orbit_code': 9008367519400824, 'n': 77, 'trace_an': -16}
id: 31817646
{'hecke_orbit_code': 9008367519400824, 'n': 78, 'trace_an': -4}
id: 31817647
{'hecke_orbit_code': 9008367519400824, 'n': 79, 'trace_an': 6}
id: 31817648
{'hecke_orbit_code': 9008367519400824, 'n': 80, 'trace_an': -16}
id: 31817649
{'hecke_orbit_code': 9008367519400824, 'n': 81, 'trace_an': 2}
id: 31817650
{'hecke_orbit_code': 9008367519400824, 'n': 82, 'trace_an': 4}
id: 31817651
{'hecke_orbit_code': 9008367519400824, 'n': 83, 'trace_an': 0}
id: 31817652
{'hecke_orbit_code': 9008367519400824, 'n': 84, 'trace_an': 0}
id: 31817653
{'hecke_orbit_code': 9008367519400824, 'n': 85, 'trace_an': -16}
id: 31817654
{'hecke_orbit_code': 9008367519400824, 'n': 86, 'trace_an': -12}
id: 31817655
{'hecke_orbit_code': 9008367519400824, 'n': 87, 'trace_an': -4}
id: 31817656
{'hecke_orbit_code': 9008367519400824, 'n': 88, 'trace_an': -16}
id: 31817657
{'hecke_orbit_code': 9008367519400824, 'n': 89, 'trace_an': 0}
id: 31817658
{'hecke_orbit_code': 9008367519400824, 'n': 90, 'trace_an': 0}
id: 31817659
{'hecke_orbit_code': 9008367519400824, 'n': 91, 'trace_an': 4}
id: 31817660
{'hecke_orbit_code': 9008367519400824, 'n': 92, 'trace_an': -8}
id: 31817661
{'hecke_orbit_code': 9008367519400824, 'n': 93, 'trace_an': -14}
id: 31817662
{'hecke_orbit_code': 9008367519400824, 'n': 94, 'trace_an': -8}
id: 31817663
{'hecke_orbit_code': 9008367519400824, 'n': 95, 'trace_an': 8}
id: 31817664
{'hecke_orbit_code': 9008367519400824, 'n': 96, 'trace_an': 8}
id: 31817665
{'hecke_orbit_code': 9008367519400824, 'n': 97, 'trace_an': 6}
id: 31817666
{'hecke_orbit_code': 9008367519400824, 'n': 98, 'trace_an': -6}
id: 31817667
{'hecke_orbit_code': 9008367519400824, 'n': 99, 'trace_an': 0}
id: 31817668
{'hecke_orbit_code': 9008367519400824, 'n': 100, 'trace_an': -12}

Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$ over number fields
Genus 2 curves
Higher genus families
Abelian varieties over $\F_{q}$
Belyi maps

Introduction

L-functions

Modular forms

Varieties

Fields

Representations

Groups

Database

This project is supported by grants from the US National Science Foundation, the UK Engineering and Physical Sciences Research Council, and the Simons Foundation.