LMFDB - Embedded newform data

Formats: - HTML - YAML - JSON - 2025-04-10T21:41:44.833099

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': 39204, 'analytic_conductor': 78.26137902105691, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, -1], [11, 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': [9801, 1, [9560, 244], [1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 24, 'fricke_eigenval': -1, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [841, 0, -14247, 0, 89964, 0, -274520, 0, 455456, 0, -450554, 0, 281564, 0, -114728, 0, 30816, 0, -5400, 0, 593, 0, -37, 0, 1]], [5, [361, 0, -113406, 0, 8703645, 0, -27378596, 0, 34152758, 0, -22569479, 0, 8858018, 0, -2177741, 0, 342081, 0, -34098, 0, 2075, 0, -70, 0, 1]], [7, [-99, -522, 4392, 780, -12917, 3977, 5133, -2161, -454, 289, -11, -9, 1]], [17, [1185921, 0, -45943821, 0, 430969977, 0, -1404217554, 0, 1978969636, 0, -1361552155, 0, 465266062, 0, -76142851, 0, 6722373, 0, -340805, 0, 9940, 0, -155, 0, 1]]], 'hecke_orbit': 70, 'hecke_orbit_code': 310748374322128457, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '9801.2.a.cr', 'level': 9801, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 11], 'level_radical': 33, 'minimal_twist': '891.2.f.g', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 24, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '9801.2.a', 'trace_display': [0, 0, 0, 18], 'traces': [24, 0, 0, 26, 0, 0, 18, 0, 0, 16, 0, 0, 18, 0, 0, 18, 0, 0, 36, 0, 0, 0, 0, 0, 20, 0, 0, 46, 0, 0, -12, 0, 0, 42, 0, 0, 14, 0, 0, 42, 0, 0, 42, 0, 0, 26, 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

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-0.30346417628384903, -0.3972006590862333, -0.22506323819002036, -0.3338820227721363, -0.23798987849952274, -0.27459916708933063, -0.2132551881401771, -0.1412443762518393, -0.18773368039096328, -0.20809069873105918, -0.3048430176089018, -0.1922790897207388, -0.26470574236949407, -0.18749220336653408, -0.20225409653755652, -0.3195903643176058, -0.2834493555480211, -0.3194556153466079, -0.3594890244618947, -0.15593282490188243, -0.30863567918975215, -0.3237975509866539, -0.242756648307292, -0.2777539591900814, -0.301110121691084, -0.10691307491832626, -0.20286824122987573, -0.15562307571076672, -0.40201539695583827, -0.30318870195014147, -0.19499045305167384, -0.2386404935986811, -0.30043557499798773], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 7, 'dual_embedding_m': 7, 'embedding_index': 7, 'embedding_m': 7, 'hecke_orbit': 70, 'hecke_orbit_code': 310748374322128457, 'label': '9801.2.a.cr.1.7', 'level': 9801, 'weight': 2}

Column	Type
ALdims	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': [98, 110, 110, 100], 'Nk2': 39204, 'analytic_conductor': 78.26137902105691, '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': [9801, 1, [9560, 244], [1, 1]], 'conrey_index': 1, 'cusp_dim': 1117, 'dim': 418, 'eis_dim': 143, 'eis_new_dim': 36, 'hecke_cutter_primes': [2, 5, 7, 17], 'hecke_orbit_code': 33564233, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 6, 6, 6, 6, 8, 8, 8, 8, 8, 8, 10, 10, 10, 10, 12, 12, 12, 12, 12, 12, 12, 18, 18, 18, 18, 24, 24], 'label': '9801.2.a', 'level': 9801, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': True, 'level_is_squarefree': False, 'level_primes': [3, 11], 'level_radical': 33, 'mf_dim': 1260, 'mf_new_dim': 454, 'num_forms': 70, 'plus_dim': 198, 'prim_orbit_index': 1, 'relative_dim': 418, 'sturm_bound': 2376, 'trace_bound': 14, 'trace_display': [0, 0, 0, 0], 'traces': [418, 0, 0, 398, 0, 0, 0, 0, 0, -6, 0, 0, -6, 0, 0, 370, 0, 0, 0, 0, 0, 0, 0, 0, 332, 0, 0, 12, 0, 0, 0, 0, 0, 14, 0, 0, -18, 0, 0, -18, 0, 0, 12, 0, 0, 36, 0, 0, 334, 0, 0, 18, 0, 0, 0, 0, 0, 18, 0, 0, -18, 0, 0, 338, 0, 0, 20, 0, 0, 4, 0, 0, -18, 0, 0, -36, 0, 0, 0, 0, 0, -36, 0, 0, -42, 0, 0, 0, 0, 0, 0, 0, 0, 36, 0, 0, -24, 0, 0, 96, 0, 0, -36, 0, 0, 60, 0, 0, 30, 0, 0, 48, 0, 0, 12, 0, 0, 12, 0, 0, 0, 0, 0, 84, 0, 0, 60, 0, 0, 6, 0, 0, 68, 0, 0, 130, 0, 0, 72, 0, 0, 48, 0, 0, -42, 0, 0, 86, 0, 0, 12, 0, 0, 0, 0, 0, -54, 0, 0, -42, 0, 0, 48, 0, 0, 200, 0, 0, 148, 0, 0, 120, 0, 0, 120, 0, 0, 66, 0, 0, 48, 0, 0, 168, 0, 0, 0, 0, 0, 268, 0, 0, -126, 0, 0, 314, 0, 0, -4, 0, 0, -116, 0, 0, -12, 0, 0, 54, 0, 0, 72, 0, 0, 24, 0, 0, -96, 0, 0, 0, 0, 0, 96, 0, 0, -78, 0, 0, 54, 0, 0, 26, 0, 0, 96, 0, 0, -24, 0, 0, -90, 0, 0, -174, 0, 0, -72, 0, 0, 126, 0, 0, 0, 0, 0, 298, 0, 0, 0, 0, 0, 60, 0, 0, -88, 0, 0, 100, 0, 0, 0, 0, 0, -42, 0, 0, -36, 0, 0, 280, 0, 0, -24, 0, 0, 0, 0, 0, 8, 0, 0, 114, 0, 0, -96, 0, 0, 110, 0, 0, 48, 0, 0, -276, 0, 0, -96, 0, 0, -120, 0, 0, -30, 0, 0, 36, 0, 0, 0, 0, 0, -96, 0, 0, -144, 0, 0, -8, 0, 0, -52, 0, 0, 28, 0, 0, -144, 0, 0, 102, 0, 0, -48, 0, 0, 18, 0, 0, -48, 0, 0, 0, 0, 0, 88, 0, 0, 228, 0, 0, 94, 0, 0, -16, 0, 0, -12, 0, 0, 30, 0, 0, -12, 0, 0, 0, 0, 0, -12, 0, 0, 84, 0, 0, 0, 0, 0, -60, 0, 0, 60, 0, 0, -78, 0, 0, -166, 0, 0, 36, 0, 0, 276, 0, 0, -60, 0, 0, -54, 0, 0, -268, 0, 0, -36, 0, 0, 0, 0, 0, -78, 0, 0, 216, 0, 0, 120, 0, 0, 436, 0, 0, -6, 0, 0, 138, 0, 0, 60, 0, 0, 42, 0, 0, -162, 0, 0, 24, 0, 0, 0, 0, 0, -372, 0, 0, -78, 0, 0, -72, 0, 0, 224, 0, 0, -110, 0, 0, 12, 0, 0, 24, 0, 0, -108, 0, 0, -96, 0, 0, 90, 0, 0, 0, 0, 0, 276, 0, 0, -126, 0, 0, 6, 0, 0, 56, 0, 0, -36, 0, 0, -36, 0, 0, -120, 0, 0, -84, 0, 0, 236, 0, 0, -222, 0, 0, 0, 0, 0, -218, 0, 0, 24, 0, 0, -36, 0, 0, 142, 0, 0, -56, 0, 0, 60, 0, 0, -486, 0, 0, 90, 0, 0, -22, 0, 0, 12, 0, 0, 0, 0, 0, 168, 0, 0, -24, 0, 0, -24, 0, 0, -214, 0, 0, 66, 0, 0, 72, 0, 0, -24, 0, 0, -192, 0, 0, -162, 0, 0, -162, 0, 0, 0, 0, 0, -138, 0, 0, 48, 0, 0, -2, 0, 0, 236, 0, 0, 96, 0, 0, -258, 0, 0, -156, 0, 0, 12, 0, 0, -126, 0, 0, 84, 0, 0, 0, 0, 0, -108, 0, 0, -180, 0, 0, -86, 0, 0, -394, 0, 0, 132, 0, 0, -246, 0, 0, 42, 0, 0, -6, 0, 0, 108, 0, 0, -60, 0, 0, 0, 0, 0, 180, 0, 0, 312, 0, 0, -68, 0, 0, -118, 0, 0, 208, 0, 0, -108, 0, 0, -96, 0, 0, 210, 0, 0, -284, 0, 0, -156, 0, 0, 0, 0, 0, 154, 0, 0, 204, 0, 0, 204, 0, 0, -652, 0, 0, -36, 0, 0, 612, 0, 0, 120, 0, 0, -144, 0, 0, 198, 0, 0, 162, 0, 0, 0, 0, 0, 60, 0, 0, 408, 0, 0, -12, 0, 0, 296, 0, 0, -26, 0, 0, 96, 0, 0, 528, 0, 0, 192, 0, 0, -148, 0, 0, -114, 0, 0, 0, 0, 0, -48, 0, 0, -474, 0, 0, -168, 0, 0, 724, 0, 0, -108, 0, 0, -12, 0, 0, 234, 0, 0, -258, 0, 0, 348, 0, 0, 144, 0, 0, 0, 0, 0, 450, 0, 0, -144, 0, 0, 168, 0, 0, 98, 0, 0, -32, 0, 0, -144, 0, 0, 342, 0, 0, 108, 0, 0, -472, 0, 0, 24, 0, 0, 0, 0, 0, 360, 0, 0, 24, 0, 0, 432, 0, 0, -28, 0, 0, 192, 0, 0, 18, 0, 0, -192, 0, 0, -192, 0, 0, -52, 0, 0, 276, 0, 0, 0, 0, 0, 776, 0, 0, 72, 0, 0, -44, 0, 0, -40, 0, 0, 292, 0, 0, 54, 0, 0, -540, 0, 0, 180, 0, 0, 156, 0, 0, 54, 0, 0, 0, 0, 0, -276, 0, 0, 408, 0, 0, -12, 0, 0, 548, 0, 0, 408, 0, 0, -456, 0, 0, 24, 0, 0, -78, 0, 0, 432, 0, 0, 744, 0, 0, 0, 0, 0, 90, 0, 0, -180, 0, 0, -60, 0, 0, -436, 0, 0, 22, 0, 0, -84, 0, 0, -36, 0, 0, 162, 0, 0, 572, 0, 0, 36, 0, 0, 0, 0, 0, 246, 0, 0, 240, 0, 0, -12, 0, 0, -304, 0, 0, 34, 0, 0, -438, 0, 0, 216, 0, 0, 132, 0, 0, 164, 0, 0, -414, 0, 0, 0, 0, 0, -276, 0, 0, -6, 0, 0, 392, 0, 0, -304, 0, 0, -140, 0, 0, 246, 0, 0, 222], '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: 49131960
{'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 1, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 310748374322128457, 'target_is_minimal': False, 'target_label': '9801.2.a.cr.1.7', 'target_level': 9801, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
id: 49131961
{'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 1, 'target_dim': 24, 'target_embedding_index': 18, 'target_hecke_orbit_code': 310748374322128457, 'target_is_minimal': False, 'target_label': '9801.2.a.cr.1.18', 'target_level': 9801, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
id: 49131962
{'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 487, 'target_dim': 48, 'target_embedding_index': 9, 'target_hecke_orbit_code': 27021941395161979, 'target_is_minimal': True, 'target_label': '891.2.f.g.487.9', 'target_level': 891, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '11.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 49131963
{'conductor': 11, 'degree': 4, 'order': 5, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 730, 'target_dim': 48, 'target_embedding_index': 9, 'target_hecke_orbit_code': 27021941395161979, 'target_is_minimal': True, 'target_label': '891.2.f.g.730.9', 'target_level': 891, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '11.9', 'twisting_conrey_index': 9, 'weight': 2}
id: 49131964
{'conductor': 11, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 1, 'target_dim': 24, 'target_embedding_index': 18, 'target_hecke_orbit_code': 306244774694757961, 'target_is_minimal': False, 'target_label': '9801.2.a.cq.1.18', 'target_level': 9801, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '11.10', 'twisting_conrey_index': 10, 'weight': 2}
id: 49131965
{'conductor': 33, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 487, 'target_dim': 48, 'target_embedding_index': 4, 'target_hecke_orbit_code': 27021941395161979, 'target_is_minimal': True, 'target_label': '891.2.f.g.487.4', 'target_level': 891, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '33.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 49131966
{'conductor': 33, 'degree': 4, 'order': 10, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 730, 'target_dim': 48, 'target_embedding_index': 4, 'target_hecke_orbit_code': 27021941395161979, 'target_is_minimal': True, 'target_label': '891.2.f.g.730.4', 'target_level': 891, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '33.20', 'twisting_conrey_index': 20, 'weight': 2}
id: 49131967
{'conductor': 33, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 1, 'target_dim': 24, 'target_embedding_index': 7, 'target_hecke_orbit_code': 306244774694757961, 'target_is_minimal': False, 'target_label': '9801.2.a.cq.1.7', 'target_level': 9801, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '33.32', 'twisting_conrey_index': 32, 'weight': 2}
id: 49131968
{'conductor': 99, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 784, 'target_dim': 96, 'target_embedding_index': 4, 'target_hecke_orbit_code': 49540489287828347, 'target_is_minimal': False, 'target_label': '891.2.n.l.784.4', 'target_level': 891, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '99.5', 'twisting_conrey_index': 5, 'weight': 2}
id: 49131969
{'conductor': 99, 'degree': 8, 'order': 15, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 190, 'target_dim': 96, 'target_embedding_index': 4, 'target_hecke_orbit_code': 49540489287828347, 'target_is_minimal': False, 'target_label': '891.2.n.l.190.4', 'target_level': 891, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '99.16', 'twisting_conrey_index': 16, 'weight': 2}
id: 49131970
{'conductor': 99, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 433, 'target_dim': 96, 'target_embedding_index': 4, 'target_hecke_orbit_code': 49540489287828347, 'target_is_minimal': False, 'target_label': '891.2.n.l.433.4', 'target_level': 891, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '99.20', 'twisting_conrey_index': 20, 'weight': 2}
id: 49131971
{'conductor': 99, 'degree': 8, 'order': 15, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 136, 'target_dim': 96, 'target_embedding_index': 4, 'target_hecke_orbit_code': 49540489287828347, 'target_is_minimal': False, 'target_label': '891.2.n.l.136.4', 'target_level': 891, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '99.31', 'twisting_conrey_index': 31, 'weight': 2}
id: 49131972
{'conductor': 99, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 190, 'target_dim': 96, 'target_embedding_index': 9, 'target_hecke_orbit_code': 49540489287828347, 'target_is_minimal': False, 'target_label': '891.2.n.l.190.9', 'target_level': 891, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '99.38', 'twisting_conrey_index': 38, 'weight': 2}
id: 49131973
{'conductor': 99, 'degree': 8, 'order': 15, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 784, 'target_dim': 96, 'target_embedding_index': 9, 'target_hecke_orbit_code': 49540489287828347, 'target_is_minimal': False, 'target_label': '891.2.n.l.784.9', 'target_level': 891, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '99.49', 'twisting_conrey_index': 49, 'weight': 2}
id: 49131974
{'conductor': 99, 'degree': 8, 'order': 30, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 136, 'target_dim': 96, 'target_embedding_index': 9, 'target_hecke_orbit_code': 49540489287828347, 'target_is_minimal': False, 'target_label': '891.2.n.l.136.9', 'target_level': 891, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '99.86', 'twisting_conrey_index': 86, 'weight': 2}
id: 49131975
{'conductor': 99, 'degree': 8, 'order': 15, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 24, 'source_embedding_index': 7, 'source_hecke_orbit_code': 310748374322128457, 'source_is_minimal': False, 'source_label': '9801.2.a.cr.1.7', 'source_level': 9801, 'target_conrey_index': 433, 'target_dim': 96, 'target_embedding_index': 9, 'target_hecke_orbit_code': 49540489287828347, 'target_is_minimal': False, 'target_label': '891.2.n.l.433.9', 'target_level': 891, 'twist_class_label': '891.2.f.g.487.4', 'twist_class_level': 891, 'twisting_char_label': '99.97', 'twisting_conrey_index': 97, 'weight': 2}

hecke_orbit_code 310748374322128457 does not appear in mf_hecke_charpolys

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': 70, 'label': '9801.2.a.cr', 'level': 9801, 'portrait': 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', 'weight': 2}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 72343951
{'hecke_orbit_code': 310748374322128457, 'n': 1, 'trace_an': 24}
id: 72343952
{'hecke_orbit_code': 310748374322128457, 'n': 2, 'trace_an': 0}
id: 72343953
{'hecke_orbit_code': 310748374322128457, 'n': 3, 'trace_an': 0}
id: 72343954
{'hecke_orbit_code': 310748374322128457, 'n': 4, 'trace_an': 26}
id: 72343955
{'hecke_orbit_code': 310748374322128457, 'n': 5, 'trace_an': 0}
id: 72343956
{'hecke_orbit_code': 310748374322128457, 'n': 6, 'trace_an': 0}
id: 72343957
{'hecke_orbit_code': 310748374322128457, 'n': 7, 'trace_an': 18}
id: 72343958
{'hecke_orbit_code': 310748374322128457, 'n': 8, 'trace_an': 0}
id: 72343959
{'hecke_orbit_code': 310748374322128457, 'n': 9, 'trace_an': 0}
id: 72343960
{'hecke_orbit_code': 310748374322128457, 'n': 10, 'trace_an': 16}
id: 72343961
{'hecke_orbit_code': 310748374322128457, 'n': 11, 'trace_an': 0}
id: 72343962
{'hecke_orbit_code': 310748374322128457, 'n': 12, 'trace_an': 0}
id: 72343963
{'hecke_orbit_code': 310748374322128457, 'n': 13, 'trace_an': 18}
id: 72343964
{'hecke_orbit_code': 310748374322128457, 'n': 14, 'trace_an': 0}
id: 72343965
{'hecke_orbit_code': 310748374322128457, 'n': 15, 'trace_an': 0}
id: 72343966
{'hecke_orbit_code': 310748374322128457, 'n': 16, 'trace_an': 18}
id: 72343967
{'hecke_orbit_code': 310748374322128457, 'n': 17, 'trace_an': 0}
id: 72343968
{'hecke_orbit_code': 310748374322128457, 'n': 18, 'trace_an': 0}
id: 72343969
{'hecke_orbit_code': 310748374322128457, 'n': 19, 'trace_an': 36}
id: 72343970
{'hecke_orbit_code': 310748374322128457, 'n': 20, 'trace_an': 0}
id: 72343971
{'hecke_orbit_code': 310748374322128457, 'n': 21, 'trace_an': 0}
id: 72343972
{'hecke_orbit_code': 310748374322128457, 'n': 22, 'trace_an': 0}
id: 72343973
{'hecke_orbit_code': 310748374322128457, 'n': 23, 'trace_an': 0}
id: 72343974
{'hecke_orbit_code': 310748374322128457, 'n': 24, 'trace_an': 0}
id: 72343975
{'hecke_orbit_code': 310748374322128457, 'n': 25, 'trace_an': 20}
id: 72343976
{'hecke_orbit_code': 310748374322128457, 'n': 26, 'trace_an': 0}
id: 72343977
{'hecke_orbit_code': 310748374322128457, 'n': 27, 'trace_an': 0}
id: 72343978
{'hecke_orbit_code': 310748374322128457, 'n': 28, 'trace_an': 46}
id: 72343979
{'hecke_orbit_code': 310748374322128457, 'n': 29, 'trace_an': 0}
id: 72343980
{'hecke_orbit_code': 310748374322128457, 'n': 30, 'trace_an': 0}
id: 72343981
{'hecke_orbit_code': 310748374322128457, 'n': 31, 'trace_an': -12}
id: 72343982
{'hecke_orbit_code': 310748374322128457, 'n': 32, 'trace_an': 0}
id: 72343983
{'hecke_orbit_code': 310748374322128457, 'n': 33, 'trace_an': 0}
id: 72343984
{'hecke_orbit_code': 310748374322128457, 'n': 34, 'trace_an': 42}
id: 72343985
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{'hecke_orbit_code': 310748374322128457, 'n': 929, 'trace_an': 0}
id: 72344198
{'hecke_orbit_code': 310748374322128457, 'n': 937, 'trace_an': 34}
id: 72344199
{'hecke_orbit_code': 310748374322128457, 'n': 941, 'trace_an': 0}
id: 72344200
{'hecke_orbit_code': 310748374322128457, 'n': 947, 'trace_an': 0}
id: 72344201
{'hecke_orbit_code': 310748374322128457, 'n': 953, 'trace_an': 0}
id: 72344202
{'hecke_orbit_code': 310748374322128457, 'n': 961, 'trace_an': 128}
id: 72344203
{'hecke_orbit_code': 310748374322128457, 'n': 967, 'trace_an': -60}
id: 72344204
{'hecke_orbit_code': 310748374322128457, 'n': 971, 'trace_an': 0}
id: 72344205
{'hecke_orbit_code': 310748374322128457, 'n': 977, 'trace_an': 0}
id: 72344206
{'hecke_orbit_code': 310748374322128457, 'n': 983, 'trace_an': 0}
id: 72344207
{'hecke_orbit_code': 310748374322128457, 'n': 991, 'trace_an': -214}
id: 72344208
{'hecke_orbit_code': 310748374322128457, 'n': 997, 'trace_an': 304}

Overview	Random
Universe	Knowledge

Classical	Maass
Hilbert	Bianchi

Elliptic curves over $\Q$
Elliptic curves over $\Q(\alpha)$
Genus 2 curves over $\Q$
Higher genus families
Abelian varieties over $\F_{q}$

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.