LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2026-10-09T01:54:03.941827

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': 736, 'analytic_conductor': 0.3673118492978898, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 736, 'char_degree': 4, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 8, 'char_parity': -1, 'char_values': [736, 8, [415, 645, 97], [8, 7, 4]], 'cm_discs': [-23], 'conrey_index': 45, 'dim': 8, 'field_disc': 5308416, 'field_disc_factorization': [[2, 16], [3, 4]], 'field_poly': [1, 0, 0, 0, -1, 0, 0, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 24, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [1, -8, 22, -20, 18, -16, 10, -4, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4504630436299488, 'hecke_ring_generator_nbound': 2, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 23, 2, -1, 2, -23], [1, 1, 32, 7, 1, 8, 0], [1, 1, 736, 16, -1, 8, 0]], 'is_cm': True, 'is_largest': True, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': True, 'label': '736.1.p.b', 'level': 736, '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, 23], 'level_radical': 46, 'minimal_twist': '736.1.p.b', 'nf_label': '8.0.5308416.1', 'prim_orbit_index': 16, 'projective_field': [2888, 0, -18752, 0, 32016, 0, 41472, 0, 31668, 0, 25184, 0, 19128, 0, 10000, 0, 3572, 0, 880, 0, 152, 0, 16, 0, 1], 'projective_image': 'D24', 'projective_image_type': 'Dn', 'qexp_display': 'q-\\zeta_{24}^{5}q^{2}+(\\zeta_{24}-\\zeta_{24}^{8})q^{3}+\\zeta_{24}^{10}q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'self_twist_discs': [-23], 'self_twist_type': 1, 'space_label': '736.1.p', 'trace_display': [0, 4, 0, 0], 'trace_hash': 1749188791141136552, 'trace_moments': [{'__RealLiteral__': 0, 'data': '-0.027', 'prec': 7}, {'__RealLiteral__': 0, 'data': '7.767', 'prec': 14}, {'__RealLiteral__': 0, 'data': '-0.062', 'prec': 7}, {'__RealLiteral__': 0, 'data': '587.455', 'prec': 20}, {'__RealLiteral__': 0, 'data': '22.911', 'prec': 17}, {'__RealLiteral__': 0, 'data': '84944.187', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.792', 'prec': 10}, 'traces': [8, 0, 4, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 4, 0, 4, -8, 0, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, -4, 0, -4, 0, 4, 0, 0, 0, 8, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, -4, 8, 0, 0, -4, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4, 0, 0, 0, 0, 0, 0, 0, 8, 4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, -8, 0, -12, 0, 0, 0, 4, 0, 0, 0, 0, 0, 4, 0, 0, 0, 0, 0, -4, 4, 0, 0, 0, 8, 0, 4, 0, 0, 0, -8, 0, 0, 0, 0, 0, 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], [-0.25881904510252074, 0.9659258262890683], [1.4659258262890682, 0.6072063586819179], [-0.8660254037844386, -0.5], [0.0, 0.0], [-0.9659258262890683, 1.2588190451025207], [0.0, 0.0], [0.7071067811865476, -0.7071067811865476], [1.0731321849709863, 1.0731321849709863], [0.0, 0.0], [0.0, 0.0], [-0.9659258262890683, -1.2588190451025207], [-0.09990042250462965, 0.24118095489747923], [0.0, 0.0], [0.0, 0.0], [0.5, 0.8660254037844386], [0.0, 0.0], [-1.3143131398684653, 0.7588190451025207], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.7071067811865476, -0.7071067811865476], [1.4659258262890682, -0.6072063586819179], [-0.7071067811865476, 0.7071067811865476], [-0.20710678118654752, -0.15891862259789113], [0.31431313986846543, 0.7588190451025207], [0.0, 0.0], [-1.1248444488869593, -0.4659258262890683], [0.0, 0.0], [0.5176380902050415, 0.0], [-0.9659258262890683, 0.25881904510252074], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.39279364131808214, -1.4659258262890682], [0.0, 0.0], [0.0, 0.0], [-0.2928932188134525, 0.2928932188134525], [0.0, 0.0], [0.7071067811865476, 0.7071067811865476], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8660254037844386, -0.5], [0.0, -1.7320508075688772], [0.20710678118654752, 1.5731321849709863], [0.0, -1.0], [-0.5, -0.8660254037844386], [0.0, 0.0], [0.20710678118654752, -0.15891862259789113], [0.0, 0.0], [-0.8143131398684654, 0.10720635868191788], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7411809548974793, -0.9659258262890683], [-0.7071067811865476, -1.7071067811865475], [0.0, 0.0], [0.0, 0.0], [-0.13397459621556135, 0.5], [0.0, 0.0], [0.0, -1.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.6072063586819179, -1.4659258262890682], [0.0, 0.0], [-1.3660254037844386, 1.3660254037844386], [1.5176380902050415, 0.0], [1.224744871391589, 1.224744871391589], [0.0, 0.0], [-1.4659258262890682, 0.6072063586819179], [0.0, 0.0], [0.0, 0.0], [-0.20710678118654752, -0.3587194676071504], [0.0, 0.0], [0.0, 0.0], [0.0, -0.21441271736383577], [-0.8660254037844386, 0.5], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.3660254037844386, -1.3660254037844386], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.25881904510252074, 0.9659258262890683], [0.7588190451025207, 0.31431313986846543], [1.6730326074756159, 0.4482877360840268], [0.0, 0.0], [-1.5731321849709863, -0.20710678118654752], [0.0, 0.0], [0.9659258262890683, 0.25881904510252074], [0.0, 0.0], [0.9659258262890683, -0.25881904510252074]], 'angles': [None, -0.041666666666666664, -0.3125, -0.125, -0.0625, -0.4583333333333333, -0.25, -0.1875, None, -0.2916666666666667, -0.20833333333333334, -0.3125, -0.041666666666666664, -0.0625, -0.3333333333333333, -0.0625, -0.375, -0.4375, -0.4375, 0.3333333333333333, 0.041666666666666664, -0.25, -0.1875, -0.125, 0.0, 0.125, -0.125, -0.0625, -0.1875, -0.25, -0.08333333333333333, -0.4583333333333333, -0.375, 0.4166666666666667, -0.0625, -0.20833333333333334, -0.4375, -0.16666666666666666, -0.25, 0.125, -0.4166666666666667, -0.0625, 0.0, -0.16666666666666666, 0.16666666666666666, -0.125, 0.25, -0.125, -0.4375, -0.3125, -0.4166666666666667, 0.041666666666666664, -0.25, -0.3125, -0.4583333333333333, -0.125, 0.2916666666666667, 0.0, -0.4583333333333333, -0.125, -0.3125, -0.3125, 0.125, -0.041666666666666664, -0.125, -0.125, -0.3333333333333333, -0.25, 0.0, -0.3333333333333333, -0.08333333333333333, -0.125, -0.25, -0.0625, -0.3125, 0.0, -0.3125, -0.3333333333333333, -0.25, 0.3333333333333333, -0.4375, -0.3125, -0.25, -0.25, 0.08333333333333333, -0.3333333333333333, -0.125, -0.375, -0.2916666666666667, 0.25, -0.1875, 0.0, -0.16666666666666666, -0.20833333333333334, -0.3333333333333333, -0.375, -0.20833333333333334, -0.375, -0.0625, -0.08333333333333333], 'char_orbit_index': 16, 'conrey_index': 413, 'dual_conrey_index': 597, 'dual_embedding_index': 1, 'dual_embedding_m': 7, 'embedding_index': 1, 'embedding_m': 5, 'embedding_root_imag': -0.25881904510252074, 'embedding_root_real': 0.9659258262890683, 'hecke_orbit': 2, 'hecke_orbit_code': 4504630436299488, 'label': '736.1.p.b.413.1', 'level': 736, 'weight': 1}

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': 736, 'a4_dim': 0, 'a5_dim': 0, 'analytic_conductor': 0.3673118492978898, 'char_conductor': 736, 'char_degree': 4, 'char_is_real': False, 'char_orbit_index': 16, 'char_orbit_label': 'p', 'char_order': 8, 'char_parity': -1, 'char_values': [736, 8, [415, 645, 97], [8, 7, 4]], 'conrey_index': 45, 'cusp_dim': 12, 'dihedral_dim': 12, 'dim': 12, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_orbit_code': 1030808928992, 'hecke_orbit_dims': [4, 8], 'label': '736.1.p', 'level': 736, '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, 23], 'level_radical': 46, 'mf_dim': 20, 'mf_new_dim': 20, 'num_forms': 2, 'prim_orbit_index': 16, 'relative_dim': 3, 's4_dim': 0, 'sturm_bound': 96, 'trace_bound': 1, 'trace_display': [0, 0, 0, 0], 'traces': [12, 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, -12, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 12, 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, 12, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, -12, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 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, -12, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 12, 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, 12, 0, 0, 0, 0, -12, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 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, 12, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, -12, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 12, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 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, -12, 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, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 12, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, -12, 0, -24, 0, 0, 0, 0, 0, -12, 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, 12, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, -12, 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, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 12, 0, 0, 0], 'weight': 1, '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: 36975976
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 413, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504630436299488, 'source_is_minimal': True, 'source_label': '736.1.p.b.413.1', 'source_level': 736, 'target_conrey_index': 413, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504630436299488, 'target_is_minimal': True, 'target_label': '736.1.p.b.413.1', 'target_level': 736, 'twist_class_label': '736.1.p.b.413.1', 'twist_class_level': 736, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 1}
id: 36975977
{'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 413, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504630436299488, 'source_is_minimal': True, 'source_label': '736.1.p.b.413.1', 'source_level': 736, 'target_conrey_index': 2897, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504630436301696, 'target_is_minimal': False, 'target_label': '2944.1.p.b.2897.1', 'target_level': 2944, 'twist_class_label': '736.1.p.b.413.1', 'twist_class_level': 736, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 1}
id: 36975978
{'conductor': 23, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 413, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504630436299488, 'source_is_minimal': True, 'source_label': '736.1.p.b.413.1', 'source_level': 736, 'target_conrey_index': 413, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504630436299488, 'target_is_minimal': True, 'target_label': '736.1.p.b.413.1', 'target_level': 736, 'twist_class_label': '736.1.p.b.413.1', 'twist_class_level': 736, 'twisting_char_label': '23.22', 'twisting_conrey_index': 22, 'weight': 1}
id: 36975979
{'conductor': 32, 'degree': 4, 'order': 8, 'parity': -1, 'source_conrey_index': 413, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504630436299488, 'source_is_minimal': True, 'source_label': '736.1.p.b.413.1', 'source_level': 736, 'target_conrey_index': 689, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504630436301696, 'target_is_minimal': False, 'target_label': '2944.1.p.b.689.1', 'target_level': 2944, 'twist_class_label': '736.1.p.b.413.1', 'twist_class_level': 736, 'twisting_char_label': '32.11', 'twisting_conrey_index': 11, 'weight': 1}
id: 36975980
{'conductor': 32, 'degree': 4, 'order': 8, 'parity': 1, 'source_conrey_index': 413, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504630436299488, 'source_is_minimal': True, 'source_label': '736.1.p.b.413.1', 'source_level': 736, 'target_conrey_index': 597, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504630436299488, 'target_is_minimal': True, 'target_label': '736.1.p.b.597.1', 'target_level': 736, 'twist_class_label': '736.1.p.b.413.1', 'twist_class_level': 736, 'twisting_char_label': '32.21', 'twisting_conrey_index': 21, 'weight': 1}
id: 36975981
{'conductor': 92, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 413, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504630436299488, 'source_is_minimal': True, 'source_label': '736.1.p.b.413.1', 'source_level': 736, 'target_conrey_index': 2897, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504630436301696, 'target_is_minimal': False, 'target_label': '2944.1.p.b.2897.1', 'target_level': 2944, 'twist_class_label': '736.1.p.b.413.1', 'twist_class_level': 736, 'twisting_char_label': '92.91', 'twisting_conrey_index': 91, 'weight': 1}
id: 36975982
{'conductor': 736, 'degree': 4, 'order': 8, 'parity': 1, 'source_conrey_index': 413, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504630436299488, 'source_is_minimal': True, 'source_label': '736.1.p.b.413.1', 'source_level': 736, 'target_conrey_index': 689, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504630436301696, 'target_is_minimal': False, 'target_label': '2944.1.p.b.689.1', 'target_level': 2944, 'twist_class_label': '736.1.p.b.413.1', 'twist_class_level': 736, 'twisting_char_label': '736.459', 'twisting_conrey_index': 459, 'weight': 1}
id: 36975983
{'conductor': 736, 'degree': 4, 'order': 8, 'parity': -1, 'source_conrey_index': 413, 'source_dim': 8, 'source_embedding_index': 1, 'source_hecke_orbit_code': 4504630436299488, 'source_is_minimal': True, 'source_label': '736.1.p.b.413.1', 'source_level': 736, 'target_conrey_index': 597, 'target_dim': 8, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4504630436299488, 'target_is_minimal': True, 'target_label': '736.1.p.b.597.1', 'target_level': 736, 'twist_class_label': '736.1.p.b.413.1', 'twist_class_level': 736, 'twisting_char_label': '736.597', 'twisting_conrey_index': 597, 'weight': 1}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 1268000
{'charpoly_factorization': [[[1, 0, 0, 0, -1, 0, 0, 0, 1], 1]], 'hecke_orbit_code': 4504630436299488, 'p': 2}
id: 1268001
{'charpoly_factorization': [[[1, -8, 22, -20, 18, -16, 10, -4, 1], 1]], 'hecke_orbit_code': 4504630436299488, 'p': 3}
id: 1268002
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 5}
id: 1268003
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 7}
id: 1268004
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 11}
id: 1268005
{'charpoly_factorization': [[[1, 4, 18, 16, 2, -4, -2, 0, 1], 1]], 'hecke_orbit_code': 4504630436299488, 'p': 13}
id: 1268006
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 17}
id: 1268007
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 19}
id: 1268008
{'charpoly_factorization': [[[1, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 4504630436299488, 'p': 23}
id: 1268009
{'charpoly_factorization': [[[1, 4, 18, 16, 2, -4, -2, 0, 1], 1]], 'hecke_orbit_code': 4504630436299488, 'p': 29}
id: 1268010
{'charpoly_factorization': [[[1, 0, -4, 0, 1], 2]], 'hecke_orbit_code': 4504630436299488, 'p': 31}
id: 1268011
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 37}
id: 1268012
{'charpoly_factorization': [[[1, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 4504630436299488, 'p': 41}
id: 1268013
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 43}
id: 1268014
{'charpoly_factorization': [[[3, 0, 1], 4]], 'hecke_orbit_code': 4504630436299488, 'p': 47}
id: 1268015
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 53}
id: 1268016
{'charpoly_factorization': [[[2, -4, 2, 0, 1], 2]], 'hecke_orbit_code': 4504630436299488, 'p': 59}
id: 1268017
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 61}
id: 1268018
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 67}
id: 1268019
{'charpoly_factorization': [[[1, -2, 2, 2, 1], 2]], 'hecke_orbit_code': 4504630436299488, 'p': 71}
id: 1268020
{'charpoly_factorization': [[[9, 0, 0, 0, 1], 2]], 'hecke_orbit_code': 4504630436299488, 'p': 73}
id: 1268021
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 79}
id: 1268022
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 83}
id: 1268023
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, 'p': 89}
id: 1268024
{'charpoly_factorization': [[[0, 1], 8]], 'hecke_orbit_code': 4504630436299488, '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': 16, 'hecke_orbit': 2, 'label': '736.1.p.b', 'level': 736, 'portrait': 'data:image/png;base64,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', 'weight': 1}

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: 24298417
{'hecke_orbit_code': 4504630436299488, 'n': 1, 'trace_an': 8}
id: 24298418
{'hecke_orbit_code': 4504630436299488, 'n': 2, 'trace_an': 0}
id: 24298419
{'hecke_orbit_code': 4504630436299488, 'n': 3, 'trace_an': 4}
id: 24298420
{'hecke_orbit_code': 4504630436299488, 'n': 4, 'trace_an': 0}
id: 24298421
{'hecke_orbit_code': 4504630436299488, 'n': 5, 'trace_an': 0}
id: 24298422
{'hecke_orbit_code': 4504630436299488, 'n': 6, 'trace_an': 0}
id: 24298423
{'hecke_orbit_code': 4504630436299488, 'n': 7, 'trace_an': 0}
id: 24298424
{'hecke_orbit_code': 4504630436299488, 'n': 8, 'trace_an': 0}
id: 24298425
{'hecke_orbit_code': 4504630436299488, 'n': 9, 'trace_an': -4}
id: 24298426
{'hecke_orbit_code': 4504630436299488, 'n': 10, 'trace_an': 0}
id: 24298427
{'hecke_orbit_code': 4504630436299488, 'n': 11, 'trace_an': 0}
id: 24298428
{'hecke_orbit_code': 4504630436299488, 'n': 12, 'trace_an': 0}
id: 24298429
{'hecke_orbit_code': 4504630436299488, 'n': 13, 'trace_an': 0}
id: 24298430
{'hecke_orbit_code': 4504630436299488, 'n': 14, 'trace_an': 0}
id: 24298431
{'hecke_orbit_code': 4504630436299488, 'n': 15, 'trace_an': 0}
id: 24298432
{'hecke_orbit_code': 4504630436299488, 'n': 16, 'trace_an': 4}
id: 24298433
{'hecke_orbit_code': 4504630436299488, 'n': 17, 'trace_an': 0}
id: 24298434
{'hecke_orbit_code': 4504630436299488, 'n': 18, 'trace_an': 0}
id: 24298435
{'hecke_orbit_code': 4504630436299488, 'n': 19, 'trace_an': 0}
id: 24298436
{'hecke_orbit_code': 4504630436299488, 'n': 20, 'trace_an': 0}
id: 24298437
{'hecke_orbit_code': 4504630436299488, 'n': 21, 'trace_an': 0}
id: 24298438
{'hecke_orbit_code': 4504630436299488, 'n': 22, 'trace_an': 0}
id: 24298439
{'hecke_orbit_code': 4504630436299488, 'n': 23, 'trace_an': 0}
id: 24298440
{'hecke_orbit_code': 4504630436299488, 'n': 24, 'trace_an': 4}
id: 24298441
{'hecke_orbit_code': 4504630436299488, 'n': 25, 'trace_an': 0}
id: 24298442
{'hecke_orbit_code': 4504630436299488, 'n': 26, 'trace_an': 4}
id: 24298443
{'hecke_orbit_code': 4504630436299488, 'n': 27, 'trace_an': -8}
id: 24298444
{'hecke_orbit_code': 4504630436299488, 'n': 28, 'trace_an': 0}
id: 24298445
{'hecke_orbit_code': 4504630436299488, 'n': 29, 'trace_an': 0}
id: 24298446
{'hecke_orbit_code': 4504630436299488, 'n': 30, 'trace_an': 0}
id: 24298447
{'hecke_orbit_code': 4504630436299488, 'n': 31, 'trace_an': 0}
id: 24298448
{'hecke_orbit_code': 4504630436299488, 'n': 32, 'trace_an': 0}
id: 24298449
{'hecke_orbit_code': 4504630436299488, 'n': 33, 'trace_an': 0}
id: 24298450
{'hecke_orbit_code': 4504630436299488, 'n': 34, 'trace_an': 0}
id: 24298451
{'hecke_orbit_code': 4504630436299488, 'n': 35, 'trace_an': 0}
id: 24298452
{'hecke_orbit_code': 4504630436299488, 'n': 36, 'trace_an': -8}
id: 24298453
{'hecke_orbit_code': 4504630436299488, 'n': 37, 'trace_an': 0}
id: 24298454
{'hecke_orbit_code': 4504630436299488, 'n': 38, 'trace_an': 0}
id: 24298455
{'hecke_orbit_code': 4504630436299488, 'n': 39, 'trace_an': -8}
id: 24298456
{'hecke_orbit_code': 4504630436299488, 'n': 40, 'trace_an': 0}
id: 24298457
{'hecke_orbit_code': 4504630436299488, 'n': 41, 'trace_an': 0}
id: 24298458
{'hecke_orbit_code': 4504630436299488, 'n': 42, 'trace_an': 0}
id: 24298459
{'hecke_orbit_code': 4504630436299488, 'n': 43, 'trace_an': 0}
id: 24298460
{'hecke_orbit_code': 4504630436299488, 'n': 44, 'trace_an': 0}
id: 24298461
{'hecke_orbit_code': 4504630436299488, 'n': 45, 'trace_an': 0}
id: 24298462
{'hecke_orbit_code': 4504630436299488, 'n': 46, 'trace_an': 0}
id: 24298463
{'hecke_orbit_code': 4504630436299488, 'n': 47, 'trace_an': 0}
id: 24298464
{'hecke_orbit_code': 4504630436299488, 'n': 48, 'trace_an': -4}
id: 24298465
{'hecke_orbit_code': 4504630436299488, 'n': 49, 'trace_an': 0}
id: 24298466
{'hecke_orbit_code': 4504630436299488, 'n': 50, 'trace_an': -4}
id: 24298467
{'hecke_orbit_code': 4504630436299488, 'n': 51, 'trace_an': 0}
id: 24298468
{'hecke_orbit_code': 4504630436299488, 'n': 52, 'trace_an': -4}
id: 24298469
{'hecke_orbit_code': 4504630436299488, 'n': 53, 'trace_an': 0}
id: 24298470
{'hecke_orbit_code': 4504630436299488, 'n': 54, 'trace_an': 4}
id: 24298471
{'hecke_orbit_code': 4504630436299488, 'n': 55, 'trace_an': 0}
id: 24298472
{'hecke_orbit_code': 4504630436299488, 'n': 56, 'trace_an': 0}
id: 24298473
{'hecke_orbit_code': 4504630436299488, 'n': 57, 'trace_an': 0}
id: 24298474
{'hecke_orbit_code': 4504630436299488, 'n': 58, 'trace_an': 8}
id: 24298475
{'hecke_orbit_code': 4504630436299488, 'n': 59, 'trace_an': 0}
id: 24298476
{'hecke_orbit_code': 4504630436299488, 'n': 60, 'trace_an': 0}
id: 24298477
{'hecke_orbit_code': 4504630436299488, 'n': 61, 'trace_an': 0}
id: 24298478
{'hecke_orbit_code': 4504630436299488, 'n': 62, 'trace_an': -8}
id: 24298479
{'hecke_orbit_code': 4504630436299488, 'n': 63, 'trace_an': 0}
id: 24298480
{'hecke_orbit_code': 4504630436299488, 'n': 64, 'trace_an': 0}
id: 24298481
{'hecke_orbit_code': 4504630436299488, 'n': 65, 'trace_an': 0}
id: 24298482
{'hecke_orbit_code': 4504630436299488, 'n': 66, 'trace_an': 0}
id: 24298483
{'hecke_orbit_code': 4504630436299488, 'n': 67, 'trace_an': 0}
id: 24298484
{'hecke_orbit_code': 4504630436299488, 'n': 68, 'trace_an': 0}
id: 24298485
{'hecke_orbit_code': 4504630436299488, 'n': 69, 'trace_an': 0}
id: 24298486
{'hecke_orbit_code': 4504630436299488, 'n': 70, 'trace_an': 0}
id: 24298487
{'hecke_orbit_code': 4504630436299488, 'n': 71, 'trace_an': -4}
id: 24298488
{'hecke_orbit_code': 4504630436299488, 'n': 72, 'trace_an': 8}
id: 24298489
{'hecke_orbit_code': 4504630436299488, 'n': 73, 'trace_an': 0}
id: 24298490
{'hecke_orbit_code': 4504630436299488, 'n': 74, 'trace_an': 0}
id: 24298491
{'hecke_orbit_code': 4504630436299488, 'n': 75, 'trace_an': -4}
id: 24298492
{'hecke_orbit_code': 4504630436299488, 'n': 76, 'trace_an': 0}
id: 24298493
{'hecke_orbit_code': 4504630436299488, 'n': 77, 'trace_an': 0}
id: 24298494
{'hecke_orbit_code': 4504630436299488, 'n': 78, 'trace_an': 4}
id: 24298495
{'hecke_orbit_code': 4504630436299488, 'n': 79, 'trace_an': 0}
id: 24298496
{'hecke_orbit_code': 4504630436299488, 'n': 80, 'trace_an': 0}
id: 24298497
{'hecke_orbit_code': 4504630436299488, 'n': 81, 'trace_an': 0}
id: 24298498
{'hecke_orbit_code': 4504630436299488, 'n': 82, 'trace_an': 0}
id: 24298499
{'hecke_orbit_code': 4504630436299488, 'n': 83, 'trace_an': 0}
id: 24298500
{'hecke_orbit_code': 4504630436299488, 'n': 84, 'trace_an': 0}
id: 24298501
{'hecke_orbit_code': 4504630436299488, 'n': 85, 'trace_an': 0}
id: 24298502
{'hecke_orbit_code': 4504630436299488, 'n': 86, 'trace_an': 0}
id: 24298503
{'hecke_orbit_code': 4504630436299488, 'n': 87, 'trace_an': -4}
id: 24298504
{'hecke_orbit_code': 4504630436299488, 'n': 88, 'trace_an': 0}
id: 24298505
{'hecke_orbit_code': 4504630436299488, 'n': 89, 'trace_an': 0}
id: 24298506
{'hecke_orbit_code': 4504630436299488, 'n': 90, 'trace_an': 0}
id: 24298507
{'hecke_orbit_code': 4504630436299488, 'n': 91, 'trace_an': 0}
id: 24298508
{'hecke_orbit_code': 4504630436299488, 'n': 92, 'trace_an': 0}
id: 24298509
{'hecke_orbit_code': 4504630436299488, 'n': 93, 'trace_an': 4}
id: 24298510
{'hecke_orbit_code': 4504630436299488, 'n': 94, 'trace_an': 0}
id: 24298511
{'hecke_orbit_code': 4504630436299488, 'n': 95, 'trace_an': 0}
id: 24298512
{'hecke_orbit_code': 4504630436299488, 'n': 96, 'trace_an': 0}
id: 24298513
{'hecke_orbit_code': 4504630436299488, 'n': 97, 'trace_an': 0}
id: 24298514
{'hecke_orbit_code': 4504630436299488, 'n': 98, 'trace_an': 0}
id: 24298515
{'hecke_orbit_code': 4504630436299488, 'n': 99, 'trace_an': 0}
id: 24298516
{'hecke_orbit_code': 4504630436299488, 'n': 100, 'trace_an': 0}

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.