LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2026-09-15T22:01:06.542309

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': 18432, 'analytic_conductor': 36.795065251406, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [3, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [4608, 1, [3583, 2053, 4097], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 1600, 'field_disc_factorization': [[2, 6], [5, 2]], 'field_poly': [4, 0, -6, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [-2, 0, 1]], [7, [-10, 0, 1]], [11, [-20, 0, 1]], [17, [-40, 0, 1]], [23, [-4, 1]]], 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090450944, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 8, 'hecke_ring_index_factorization': [[2, 3]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 8, 2, 1, 2, 0], [1, 1, 12, 2, 1, 2, 0], [1, 1, 24, 6, 1, 2, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '4608.2.a.y', 'level': 4608, 'level_is_powerful': True, '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], 'level_radical': 6, 'minimal_twist': '4608.2.a.x', 'nf_label': '4.4.1600.1', 'prim_orbit_index': 1, 'qexp_display': 'q+\\beta _{1}q^{5}+\\beta _{2}q^{7}-\\beta _{3}q^{11}-\\beta _{3}q^{13}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4608.2.a', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1594187568274031872, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.049', 'prec': 7}, {'__RealLiteral__': 0, 'data': '3.795', 'prec': 14}, {'__RealLiteral__': 0, 'data': '1.664', 'prec': 14}, {'__RealLiteral__': 0, 'data': '116.540', 'prec': 20}, {'__RealLiteral__': 0, 'data': '57.430', 'prec': 17}, {'__RealLiteral__': 0, 'data': '4615.542', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.766', 'prec': 10}, 'traces': [4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, -16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 16, 0, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 36, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, -24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48, 0, 28, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 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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], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6324555320336759, 0.0], [0.0, 0.0], [-1.1952286093343936, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.348399724926484, 0.0], [0.0, 0.0], [-1.2403473458920846, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.5339299776947408, 0.0], [0.0, 0.0], [-0.6488856845230502, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8340576562282991, 0.0], [0.0, 0.0], [-0.6, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7878385971583354, 0.0], [0.0, 0.0], [0.5679618342470648, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7559289460184545, 0.0], [0.0, 0.0], [-0.7352146220938077, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9877295966495896, 0.0], [0.0, 0.0], [-1.2939932784412609, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7503798979747347, 0.0], [0.0, 0.0], [0.42857142857142855, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9712858623572642, 0.0], [0.0, 0.0], [0.8528028654224418, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.7177950029416047, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7844645405527362, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.9494253265550827, 0.0], [0.0, 0.0], [-0.4681645887845223, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.6116459280507607, 0.0], [0.0, 0.0], [-0.35578403348241, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.490880693673816, 0.0], [0.0, 0.0], [0.9701425001453319, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [1.4824986333222023, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.41039134083406165, 0.0], [0.0, 0.0], [0.2030692330267238, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [None, None, -0.30120819117478337, -0.35194229222358303, -0.36775568254103597, -0.35646893917071076, -0.38911701197461596, -0.30258839772462554, -0.181535703932002, -0.1855594707954217, -0.2041723812866951, -0.30991147065457747, -0.3322081157734597, -0.36198761725214607, -0.08036815554979418, -0.33070723360854765, -0.25, -0.08557494754751438, -0.25, -0.17127599107372865, -0.28760425931566425, -0.27846388820340967, -0.2105337268253421, -0.25, -0.23381236841058103, -0.39086275871527676, -0.1725985095442652, -0.08376205253058873, -0.2843533805926466, -0.14858312737247714, -0.37374675966737303, -0.39276354185332163, -0.09959371317554215, -0.37786311664787603, -0.38571387793765133, -0.4284724174174052, -0.33991446672019476, -0.10877708560669695, -0.1731540650132851, -0.20668619055960602, -0.3665372869492476, -0.3330792640696714, -0.12124888721515713, -0.3476648950674944, -0.2905271040977324, -0.26787627975413586, -0.2811894146577447, -0.04902696421847301, -0.1765593349086411, -0.32309450887327235, -0.25, -0.22935237512209125, -0.25, -0.18041507250437833, -0.31454367888708507, -0.16789503507494638, -0.15531029553694947, -0.23468998926646095, -0.3160261677261682, -0.31157222931862777, -0.09108287287653528, -0.4171378920851265, -0.30232109488519643, -0.2864163228420012, -0.1753220294477104, -0.2948366766629369, -0.4413150822034338, -0.30299205072845814, -0.23084911160806432, -0.2690956703384528, -0.13245013224089733, -0.14084260793355585, -0.34803328678012163, -0.1517418486394394, -0.13658910394719587, -0.2337066793644666, -0.14568922501949522, -0.2321011249200654, -0.3285499523467476, -0.3611154782521778, -0.2674207030806799, -0.031226916923855923, -0.29666301474726053, -0.09782664713386865, -0.1614250416386831, -0.3834586761075526, -0.2261591151371973, -0.3360220430354469, -0.2447575631435315, -0.30987749341134907, -0.3365434113975329, -0.15763874323539093, -0.215521433096851, -0.18387079018631064, -0.3120127775100269, -0.30804948558239353, -0.21479604293718663, -0.2721207806879321, -0.3000299913372624, -0.08358787179311068], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': -2.288245611270737, 'hecke_orbit': 25, 'hecke_orbit_code': 108086391090450944, 'label': '4608.2.a.y.1.1', 'level': 4608, '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

{'ALdims': [16, 26, 16, 22], 'ALdims_eis_new': [0, 0, 0, 0], 'ALdims_eis_old': [31, 32, 32, 32], 'ALdims_old': [153, 150, 168, 154], 'Nk2': 18432, 'analytic_conductor': 36.795065251406, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [4608, 1, [3583, 2053, 4097], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 705, 'dim': 80, 'eis_dim': 127, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 11, 17, 23], 'hecke_orbit_code': 33559040, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4], 'label': '4608.2.a', 'level': 4608, 'level_is_powerful': True, '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], 'level_radical': 6, 'mf_dim': 832, 'mf_new_dim': 80, 'num_forms': 29, 'plus_dim': 38, 'prim_orbit_index': 1, 'relative_dim': 80, 'sturm_bound': 1536, 'trace_bound': 25, 'trace_display': [0, 0, 0, 0], 'traces': [80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 32, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 64, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -256, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, -48, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, 0, 0, 0, 0, 0, -128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 224, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -512, 0, 0, 0, 0, 0, 0, 0, -160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320, 0, 0, 0, 0, 0, 0, 0, 80, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 256, 0, 0, 0, 0, 0, 0, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], '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: 48530311
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 108086391090450944, 'target_is_minimal': True, 'target_label': '4608.2.a.y.1.1', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 48530312
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 103582791463080448, 'target_is_minimal': True, 'target_label': '4608.2.a.x.1.3', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 48530313
{'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 103582791463080448, 'target_is_minimal': True, 'target_label': '4608.2.a.x.1.2', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 48530314
{'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 103582791463080448, 'target_is_minimal': True, 'target_label': '4608.2.a.x.1.4', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 48530315
{'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 108086391090450944, 'target_is_minimal': True, 'target_label': '4608.2.a.y.1.3', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 48530316
{'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 108086391090450944, 'target_is_minimal': True, 'target_label': '4608.2.a.y.1.4', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
id: 48530317
{'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 2305, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 49539802093064704, 'target_is_minimal': False, 'target_label': '4608.2.d.l.2305.3', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 2}
id: 48530318
{'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 2305, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 36029003210953216, 'target_is_minimal': False, 'target_label': '4608.2.d.i.2305.2', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 48530319
{'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 2305, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 49539802093064704, 'target_is_minimal': False, 'target_label': '4608.2.d.l.2305.1', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 2}
id: 48530320
{'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 2305, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 36029003210953216, 'target_is_minimal': False, 'target_label': '4608.2.d.i.2305.4', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 2}
id: 48530321
{'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 103582791463080448, 'target_is_minimal': True, 'target_label': '4608.2.a.x.1.1', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 48530322
{'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 108086391090450944, 'target_is_minimal': True, 'target_label': '4608.2.a.y.1.2', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 2}
id: 48530323
{'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 2305, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 49539802093064704, 'target_is_minimal': False, 'target_label': '4608.2.d.l.2305.4', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 48530324
{'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 2305, 'target_dim': 4, 'target_embedding_index': 3, 'target_hecke_orbit_code': 36029003210953216, 'target_is_minimal': False, 'target_label': '4608.2.d.i.2305.3', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 2}
id: 48530325
{'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 2305, 'target_dim': 4, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539802093064704, 'target_is_minimal': False, 'target_label': '4608.2.d.l.2305.2', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 2}
id: 48530326
{'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 1, 'source_hecke_orbit_code': 108086391090450944, 'source_is_minimal': True, 'source_label': '4608.2.a.y.1.1', 'source_level': 4608, 'target_conrey_index': 2305, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 36029003210953216, 'target_is_minimal': False, 'target_label': '4608.2.d.i.2305.1', 'target_level': 4608, 'twist_class_label': '4608.2.a.x.1.1', 'twist_class_level': 4608, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 2}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 3650250
{'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391090450944, 'p': 2}
id: 3650251
{'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391090450944, 'p': 3}
id: 3650252
{'charpoly_factorization': [[[-2, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 5}
id: 3650253
{'charpoly_factorization': [[[-10, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 7}
id: 3650254
{'charpoly_factorization': [[[-20, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 11}
id: 3650255
{'charpoly_factorization': [[[-20, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 13}
id: 3650256
{'charpoly_factorization': [[[-40, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 17}
id: 3650257
{'charpoly_factorization': [[[-8, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 19}
id: 3650258
{'charpoly_factorization': [[[-4, 1], 4]], 'hecke_orbit_code': 108086391090450944, 'p': 23}
id: 3650259
{'charpoly_factorization': [[[-18, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 29}
id: 3650260
{'charpoly_factorization': [[[-10, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 31}
id: 3650261
{'charpoly_factorization': [[[-20, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 37}
id: 3650262
{'charpoly_factorization': [[[-40, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 41}
id: 3650263
{'charpoly_factorization': [[[-72, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 43}
id: 3650264
{'charpoly_factorization': [[[-12, 1], 4]], 'hecke_orbit_code': 108086391090450944, 'p': 47}
id: 3650265
{'charpoly_factorization': [[[-50, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 53}
id: 3650266
{'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391090450944, 'p': 59}
id: 3650267
{'charpoly_factorization': [[[-180, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 61}
id: 3650268
{'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391090450944, 'p': 67}
id: 3650269
{'charpoly_factorization': [[[-8, 1], 4]], 'hecke_orbit_code': 108086391090450944, 'p': 71}
id: 3650270
{'charpoly_factorization': [[[4, 1], 4]], 'hecke_orbit_code': 108086391090450944, 'p': 73}
id: 3650271
{'charpoly_factorization': [[[-10, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 79}
id: 3650272
{'charpoly_factorization': [[[-20, 0, 1], 2]], 'hecke_orbit_code': 108086391090450944, 'p': 83}
id: 3650273
{'charpoly_factorization': [[[0, 1], 4]], 'hecke_orbit_code': 108086391090450944, 'p': 89}
id: 3650274
{'charpoly_factorization': [[[-2, 1], 4]], 'hecke_orbit_code': 108086391090450944, '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': 1, 'hecke_orbit': 25, 'label': '4608.2.a.y', 'level': 4608, '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: 66390859
{'hecke_orbit_code': 108086391090450944, 'n': 1, 'trace_an': 4}
id: 66390860
{'hecke_orbit_code': 108086391090450944, 'n': 2, 'trace_an': 0}
id: 66390861
{'hecke_orbit_code': 108086391090450944, 'n': 3, 'trace_an': 0}
id: 66390862
{'hecke_orbit_code': 108086391090450944, 'n': 4, 'trace_an': 0}
id: 66390863
{'hecke_orbit_code': 108086391090450944, 'n': 5, 'trace_an': 0}
id: 66390864
{'hecke_orbit_code': 108086391090450944, 'n': 6, 'trace_an': 0}
id: 66390865
{'hecke_orbit_code': 108086391090450944, 'n': 7, 'trace_an': 0}
id: 66390866
{'hecke_orbit_code': 108086391090450944, 'n': 8, 'trace_an': 0}
id: 66390867
{'hecke_orbit_code': 108086391090450944, 'n': 9, 'trace_an': 0}
id: 66390868
{'hecke_orbit_code': 108086391090450944, 'n': 10, 'trace_an': 0}
id: 66390869
{'hecke_orbit_code': 108086391090450944, 'n': 11, 'trace_an': 0}
id: 66390870
{'hecke_orbit_code': 108086391090450944, 'n': 12, 'trace_an': 0}
id: 66390871
{'hecke_orbit_code': 108086391090450944, 'n': 13, 'trace_an': 0}
id: 66390872
{'hecke_orbit_code': 108086391090450944, 'n': 14, 'trace_an': 0}
id: 66390873
{'hecke_orbit_code': 108086391090450944, 'n': 15, 'trace_an': 0}
id: 66390874
{'hecke_orbit_code': 108086391090450944, 'n': 16, 'trace_an': 0}
id: 66390875
{'hecke_orbit_code': 108086391090450944, 'n': 17, 'trace_an': 0}
id: 66390876
{'hecke_orbit_code': 108086391090450944, 'n': 18, 'trace_an': 0}
id: 66390877
{'hecke_orbit_code': 108086391090450944, 'n': 19, 'trace_an': 0}
id: 66390878
{'hecke_orbit_code': 108086391090450944, 'n': 20, 'trace_an': 0}
id: 66390879
{'hecke_orbit_code': 108086391090450944, 'n': 21, 'trace_an': 0}
id: 66390880
{'hecke_orbit_code': 108086391090450944, 'n': 22, 'trace_an': 0}
id: 66390881
{'hecke_orbit_code': 108086391090450944, 'n': 23, 'trace_an': 16}
id: 66390882
{'hecke_orbit_code': 108086391090450944, 'n': 24, 'trace_an': 0}
id: 66390883
{'hecke_orbit_code': 108086391090450944, 'n': 25, 'trace_an': -12}
id: 66390884
{'hecke_orbit_code': 108086391090450944, 'n': 26, 'trace_an': 0}
id: 66390885
{'hecke_orbit_code': 108086391090450944, 'n': 27, 'trace_an': 0}
id: 66390886
{'hecke_orbit_code': 108086391090450944, 'n': 28, 'trace_an': 0}
id: 66390887
{'hecke_orbit_code': 108086391090450944, 'n': 29, 'trace_an': 0}
id: 66390888
{'hecke_orbit_code': 108086391090450944, 'n': 30, 'trace_an': 0}
id: 66390889
{'hecke_orbit_code': 108086391090450944, 'n': 31, 'trace_an': 0}
id: 66390890
{'hecke_orbit_code': 108086391090450944, 'n': 32, 'trace_an': 0}
id: 66390891
{'hecke_orbit_code': 108086391090450944, 'n': 33, 'trace_an': 0}
id: 66390892
{'hecke_orbit_code': 108086391090450944, 'n': 34, 'trace_an': 0}
id: 66390893
{'hecke_orbit_code': 108086391090450944, 'n': 35, 'trace_an': 0}
id: 66390894
{'hecke_orbit_code': 108086391090450944, 'n': 36, 'trace_an': 0}
id: 66390895
{'hecke_orbit_code': 108086391090450944, 'n': 37, 'trace_an': 0}
id: 66390896
{'hecke_orbit_code': 108086391090450944, 'n': 38, 'trace_an': 0}
id: 66390897
{'hecke_orbit_code': 108086391090450944, 'n': 39, 'trace_an': 0}
id: 66390898
{'hecke_orbit_code': 108086391090450944, 'n': 40, 'trace_an': 0}
id: 66390899
{'hecke_orbit_code': 108086391090450944, 'n': 41, 'trace_an': 0}
id: 66390900
{'hecke_orbit_code': 108086391090450944, 'n': 42, 'trace_an': 0}
id: 66390901
{'hecke_orbit_code': 108086391090450944, 'n': 43, 'trace_an': 0}
id: 66390902
{'hecke_orbit_code': 108086391090450944, 'n': 44, 'trace_an': 0}
id: 66390903
{'hecke_orbit_code': 108086391090450944, 'n': 45, 'trace_an': 0}
id: 66390904
{'hecke_orbit_code': 108086391090450944, 'n': 46, 'trace_an': 0}
id: 66390905
{'hecke_orbit_code': 108086391090450944, 'n': 47, 'trace_an': 48}
id: 66390906
{'hecke_orbit_code': 108086391090450944, 'n': 48, 'trace_an': 0}
id: 66390907
{'hecke_orbit_code': 108086391090450944, 'n': 49, 'trace_an': 12}
id: 66390908
{'hecke_orbit_code': 108086391090450944, 'n': 50, 'trace_an': 0}
id: 66390909
{'hecke_orbit_code': 108086391090450944, 'n': 51, 'trace_an': 0}
id: 66390910
{'hecke_orbit_code': 108086391090450944, 'n': 52, 'trace_an': 0}
id: 66390911
{'hecke_orbit_code': 108086391090450944, 'n': 53, 'trace_an': 0}
id: 66390912
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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.