LMFDB - Newform data

Formats: - HTML - YAML - JSON - 2025-05-22T22:17:04.260131

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': 260, 'analytic_conductor': 0.5190276131383225, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 65, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 6, 'char_parity': 1, 'char_values': [65, 6, [27, 41], [3, 4]], 'cm_discs': [], 'conrey_index': 9, 'dim': 12, 'field_disc': 1811116272039840000, 'field_disc_factorization': [[2, 8], [3, 6], [5, 4], [353, 4]], 'field_poly': [1, 0, -10, 0, 92, 0, -78, 0, 54, 0, -8, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [], 'hecke_orbit': 1, 'hecke_orbit_code': 893386752065, 'hecke_ring_generator_nbound': 5, '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, 5, 2, 1, 2, 0], [1, 1, 13, 3, 1, 3, 0], [1, 1, 65, 14, 1, 6, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '65.2.n.a', 'level': 65, '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': True, 'level_primes': [5, 13], 'level_radical': 65, 'minimal_twist': '65.2.n.a', 'prim_orbit_index': 14, 'qexp_display': 'q-\\beta _{4}q^{2}+(\\beta _{4}-\\beta _{11})q^{3}+(-\\beta _{2}-\\beta _{6}+\\cdots)q^{4}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c6', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '65.2.n', 'trace_display': [0, 0, -6, 0], 'trace_hash': 256128169978404782, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '11.361', 'prec': 20}, {'__RealLiteral__': 0, 'data': '6.408', 'prec': 17}, {'__RealLiteral__': 0, 'data': '934.055', 'prec': 24}, {'__RealLiteral__': 0, 'data': '2123.913', 'prec': 27}, {'__RealLiteral__': 0, 'data': '127595.727', 'prec': 34}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, 'traces': [12, 0, 0, 4, -6, -10, 0, 0, 6, 7, 0, 0, 0, -44, -4, -16, 0, 0, 12, -1, -8, 0, 0, 32, -2, 24, 0, 0, 18, 4, -16, 0, 0, 16, 10, -2, 0, 0, -32, 70, 14, 0, 0, -4, -29, 10, 0, 0, 6, -31, 24, 0, 0, -22, -26, -16, 0, 0, -4, -96, 6, 0, 0, -12, 23, 4, 0, 0, -24, 20, -12, 0, 0, 8, 2, -10, 0, 0, -104, 33, 14, 0, 0, 90, 21, -4, 0, 0, 20, 62, -44, 0, 0, 56, 20, 12, 0, 0, 104, -47, -26, 0, 0, -6, 60, 6, 0, 0, 24, -24, 12, 0, 0, 22, 4, 24, 0, 0, -28, -40, 14, 0, 0, -96, -24, -20, 0, 0, -104, -35, 120, 0, 0, -54, 20, -54, 0, 0, 44, -50, -72, 0, 0, -132, -9, -70, 0, 0, 42, 48, -104, 0, 0, 2, 4, 68, 0, 0, 68, 17, 8, 0, 0, 200, -2, 36, 0, 0, 30, 42, 40, 0, 0, -60, -60, 50, 0, 0, 20, -27, 68, 0, 0, -32, -21, 104, 0, 0, -48, -20, -64, 0, 0, -116, 40, 4, 0, 0, 12, -10, 16, 0, 0, 6, -5, 76, 0, 0, -104, 60, 4, 0, 0, 102, 2, -32, 0, 0, 80, 56, -72, 0, 0, 70, 27, 24, 0, 0, 168, -4, -56, 0, 0, -46, 52, -86, 0, 0, -48, -54, -50, 0, 0, 0, -29, -228, 0, 0, -92, -32, -64, 0, 0, 42, -64, 68, 0, 0, -56, 86, 36, 0, 0, -48, -58, -46, 0, 0, 0, 10, -32, 0, 0, -120, 28, 14, 0, 0, -4, 30, -28, 0, 0, 6, -20, 98, 0, 0, -32, -21, 176, 0, 0, -16, -22, 54, 0, 0, 32, 188, 56, 0, 0, 36, -55, -42, 0, 0, -12, -98, 152, 0, 0, 86, -60, 56, 0, 0, 0, -98, -12, 0, 0, 192, 1, 92, 0, 0, 40, -4, 68, 0, 0, -22, -24, -26, 0, 0, -120, -17, 4, 0, 0, 48, 38, 4, 0, 0, 104, 100, -28, 0, 0, 82, 32, -332, 0, 0, -80, 5, 38, 0, 0, -190, 10, 6, 0, 0, 20, 21, 80, 0, 0, -50, 74, 40, 0, 0, 12, 30, -112, 0, 0, 2, 100, -12, 0, 0, -92, -144, -24, 0, 0, -42, 56, -56, 0, 0, 48, 21, -86, 0, 0, -208, -57, -66, 0, 0, 26, -105, -104, 0, 0, -8, -128, -62, 0, 0, 16, -120, 156, 0, 0, -20, 57, -18, 0, 0, 60, 4, -36, 0, 0, 240, 12, 4, 0, 0, 4, -30, 116, 0, 0, -6, 12, 38, 0, 0, -68, -6, 4, 0, 0, 100, 150, 32, 0, 0, 28, 96, -18, 0, 0, 48, 96, 68, 0, 0, 184, 26, -16, 0, 0, -4, -30, 140, 0, 0, -52, 52, -54, 0, 0, -98, 74, -88, 0, 0, -96, -31, -8, 0, 0, 64, -56, 108, 0, 0, -256, 126, -4, 0, 0, 60, 63, -4, 0, 0, 58, 38, -60, 0, 0, 92, -68, 62, 0, 0, 104, -75, 92, 0, 0, 40, -240, -142, 0, 0, -114, -29, -44, 0, 0, 292, -4, 64, 0, 0, -52, 50, -100, 0, 0, -36, -116, 206, 0, 0, -110, -28, 72, 0, 0, -200, -32, -122, 0, 0, -60, -240, 52, 0, 0, -88, -29, 66, 0, 0, 16, -10, -24, 0, 0, -142, -2, 98, 0, 0, 100, -6, -20, 0, 0, -180, 4, -352, 0, 0, -20, 216, 152, 0, 0, -2, -10, 240, 0, 0, 112, -70, 50, 0, 0, -224, -31, 260, 0, 0, -12, 110, -196, 0, 0, -4, 100, -88, 0, 0, 128, 94, 4, 0, 0, 102, -58, -200, 0, 0, 140, 60, -116, 0, 0, 46, 116, -288, 0, 0, 64, 75, -150, 0, 0, -90, 212, 66, 0, 0, 96, -115, -360, 0, 0, -16, -60, 124, 0, 0, 52, -46, -118, 0, 0, 440, 30, 42, 0, 0, -80, 24, 208, 0, 0, -146, -120, 236, 0, 0, 28, -25, -24, 0, 0, -120, 53, 134, 0, 0, 194, -104, 28, 0, 0, -36, 6, -96, 0, 0, -44, 40, 104, 0, 0, 104, 88, 112, 0, 0, 34, -76, -56, 0, 0, -84, 30, 228, 0, 0, 140, 118, 140, 0, 0, -62, -3, 112, 0, 0, 252, 5, -52, 0, 0, -106, 2, -12, 0, 0, -140, -34, 28, 0, 0, -220, 25, -120, 0, 0, -384, -114, -28, 0, 0, 54, -164, 30, 0, 0, -104, 100, 152, 0, 0, -54, 57, -204, 0, 0, 4, 50, -76, 0, 0, -4, 188, -236, 0, 0, 64, -142, -104, 0, 0, 66, -226, -100, 0, 0, -40, 28, 36, 0, 0, 180, -142, 2, 0, 0, -92, -91, -48, 0, 0, -194, -60, -300, 0, 0, -130, -153, 328, 0, 0, -100, 30, -82, 0, 0, -60, -190, -112, 0, 0, 160, 56, -74, 0, 0, 6, -64, 304, 0, 0, 166, -10, 50, 0, 0, 120, 380, 120, 0, 0, 380, 69, -104, 0, 0, 12, 34, -12, 0, 0, -18, 30, -4, 0, 0, -72, 46, 176, 0, 0, -70, -2, 168, 0, 0, -4, 24, -64, 0, 0, -22, 10, 280, 0, 0, 112, -26, -6, 0, 0, -40, -172, 56, 0, 0, 56, 178, -100, 0, 0, -198, 122, -228, 0, 0, -24, 121, -22, 0, 0, 118, 118, 276, 0, 0, -252, -40, 264, 0, 0, -64, 0, 48, 0, 0, -20, 40, -172, 0, 0, 300, -57, -16, 0, 0, -82, -96, -80, 0, 0, 28, -156, 60, 0, 0, 20, -158, -208, 0, 0, -252, 50, -2, 0, 0, 150, -180, 148, 0, 0, 116, 112, -16, 0, 0, 172, 8, 12, 0, 0, 112, 121, 86, 0, 0, -28, 148, -240, 0, 0, 484, 70, -232, 0, 0, 44, 54, 116, 0, 0, -252, 34, 24, 0, 0, 104, -28, 92, 0, 0, 42, -136, -288, 0, 0, -28, -100], 'weight': 2, 'weight_parity': 1}

Column	Type
an	jsonb
ap	jsonb
char_orbit_index	smallint
field_poly	numeric[]
hecke_orbit_code	bigint
hecke_ring_character_values	jsonb
hecke_ring_cyclotomic_generator	integer
hecke_ring_denominators	numeric[]
hecke_ring_inverse_denominators	numeric[]
hecke_ring_inverse_numerators	numeric[]
hecke_ring_numerators	numeric[]
hecke_ring_power_basis	boolean
hecke_ring_rank	integer
label	text
level	integer
maxp	integer
weight	smallint

mf_hecke_nf • Show schema

{'an': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, -1], [0, 0, -1, 0, 0, 0, -1, 0, 0, 0, -1, 0], [0, 0, 0, 0, 0, 0, 1, -1, 1, 0, 0, 0], [0, 0, 1, 0, 0, 0, 2, 0, 0, 0, 1, 0], [0, -1, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0], [-1, -1, 0, 1, -1, 0, -1, 1, -1, -1, 0, 1], [0, 0, 0, 0, 0, -1, -2, 1, 0, 0, 0, 0], [2, 0, 0, 0, 0, 1, 2, 0, 0, 1, 1, 0], [0, 0, 0, 0, 0, 1, 0, 0, -1, 1, 0, 0], [1, 2, 0, 1, 2, 0, 1, -1, 1, 1, 0, 1], [-1, 1, 0, -1, 1, -1, -1, 0, -1, -1, 0, -1], [-4, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [-1, 0, 0, 0, -1, 0, -1, 0, 0, 0, -1, 2], [-3, 0, 0, 0, 0, -1, -3, 0, 1, -1, -1, 0], [0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0], [-1, 0, 0, 0, 0, 0, -1, 1, -1, -1, 0, 0], [0, 0, 0, 0, 0, 1, -1, -1, 0, 0, 0, 0], [0, 3, 1, -1, 0, -1, 0, 0, 0, 0, 1, 0], [0, 0, -2, 0, 0, 0, 1, -1, 1, -1, 0, 0], [0, -1, 0, 0, 0, -1, 0, -1, 0, 0, 0, 0], [0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 1], [6, 0, 0, 0, 0, 1, 6, 0, -1, 1, 2, 0], [0, -2, 1, -1, -2, 0, 0, 0, 0, 1, 0, -1], [2, 0, -2, 0, 0, -1, -2, 1, 0, 0, -1, 0], [0, -1, 0, -1, -1, 0, 0, 0, 0, 0, 0, -1], [1, 0, 0, 0, 4, 1, 1, 0, 1, 1, 0, -3], [3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0], [0, -3, -1, 1, 0, 1, -1, 1, 0, 0, -1, 0], [-2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -2, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0], [0, -1, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 1, 0, 0, 0, 1, -1, 1, -1, 0, 0], [0, -1, -1, 2, 0, -2, -3, 0, 0, 0, -1, 0], [-1, 0, 0, 0, 0, 1, -1, 0, -1, 1, -2, 0], [1, 0, 0, 0, -1, 1, 1, 0, 1, 1, 0, -1], [1, -3, 0, 0, -3, 0, 1, -1, 1, 1, 0, 0], [-4, 0, 2, 0, 0, -1, -2, 0, 1, -1, 2, 0], [6, 3, -2, -1, 3, 0, 0, 0, 0, -1, 0, -1], [3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 2, 0], [-1, 0, 0, 0, -5, -1, -1, 0, -1, -1, 0, 2], [0, 1, 0, -3, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -1, 0, 0, 0, 1, -1, 1, -1, 0, 0], [0, 2, -1, 1, 0, 1, 5, 0, 0, 0, -1, 0], [0, 0, -1, 0, 0, 0, -2, 0, 0, 0, -1, 0], [-2, 6, 0, -2, 6, 0, -2, 2, -2, -2, 0, -2], [0, 5, 0, -4, 0, -1, 0, -1, 0, 0, 0, 0], [1, 0, 0, 0, 0, 1, 1, 0, -1, 1, 0, 0], [-5, 0, 0, 0, 3, 1, -5, 0, 0, 1, -1, -1], [2, 0, 0, 0, 0, 0, -1, 1, -1, 1, 0, 0], [-1, -4, 0, 3, -6, -1, -1, 0, -1, -1, 0, 2], [1, -2, 0, 4, -2, 0, 1, -1, 1, 1, 0, 4], [-4, 0, 0, 0, 0, 0, -4, 0, 0, 0, -1, 0], [-5, 0, 0, 0, 2, -1, -5, 0, -1, -1, 1, 1], [0, 0, 4, 0, 0, 1, 5, -1, 0, 0, 4, 0], [0, 1, 0, 1, 1, 0, 0, 0, 0, 0, 0, 1], [0, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, -2, 0, 0, -1, -1, 1, 0, 0, -2, 0], [-10, -1, 3, -3, -1, 0, 0, 0, 0, -2, 0, -3], [0, 0, 0, 0, 0, -2, -3, 2, 0, 0, 0, 0], [2, 0, 0, 0, 6, 2, 2, 0, 2, 2, 0, -2], [2, 0, 0, 0, -2, 2, 2, 0, 2, 2, 0, 4], [-1, 0, 0, 0, 0, 0, -2, 2, -2, 2, 0, 0], [4, -1, 1, 2, 1, -1, 5, 0, 0, -1, 1, 3], [0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 1, 5, -1, 0, 0, 0, 0], [0, -3, -1, 1, -3, 0, -3, 3, -3, -1, 0, 1], [0, 0, 0, 0, 0, 1, 3, -1, 0, 0, 0, 0], [0, -6, 0, 2, 0, -1, 0, -1, 0, 0, 0, 0], [1, -6, 0, 2, -6, 0, 1, -1, 1, 1, 0, 2], [0, 0, 1, 0, 0, 1, 0, -1, 0, 0, 1, 0], [0, 0, 0, 0, -1, -2, 0, 0, 0, -2, 2, -3], [-2, 0, 0, 0, 0, -1, -2, 0, 1, -1, -1, 0], [-2, 3, 0, -3, 3, 0, -2, 2, -2, -2, 0, -3], [2, 3, 0, -2, 6, 1, 2, -1, 2, 2, 0, -2], [-8, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0], [5, 0, 0, 0, -5, 0, 5, 0, -1, 0, 0, 0], [3, 0, 0, 0, 0, 2, 3, 0, -2, 2, 2, 0], [0, 7, 0, -2, 0, -2, 0, -2, 0, 0, 0, 0], [2, 2, 0, -4, 2, 0, 2, -2, 2, 2, 0, -4], [0, 0, -3, 0, 0, -3, -19, 3, 0, 0, -3, 0], [0, 3, 0, -1, 0, 3, -2, 0, 0, 0, 0, 0], [0, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -3, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [2, 0, 0, 0, -5, 2, 2, 0, 2, 2, 0, 1], [2, 0, 0, 0, 0, -1, 2, 0, 1, -1, -4, 0], [5, 2, -1, 1, 2, 0, 0, 0, 0, -1, 0, 1], [-4, 0, 0, 0, 0, 1, 3, -3, 2, -2, -2, 0], [-1, -2, 0, -1, -2, 0, -1, 1, -1, -1, 0, -1], [-2, 0, 0, 0, -4, -2, -2, 0, -2, -2, 0, -2], [10, 0, 0, 0, 0, -2, 10, 0, 2, -2, 2, 0], [0, -2, 1, -1, 0, -1, -2, -3, 0, 0, 1, 0], [2, 0, -3, 0, 0, 0, 1, -1, 1, -1, 0, 0], [0, -3, 0, 3, 0, 2, 0, 2, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1, 0, -1, 0, 0, 0, 0], [8, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -4, 2, 3, 0, 3, 10, 0, 0, 0, 2, 0]], 'ap': [[0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, -1], [0, 0, 0, 0, 0, 0, 1, -1, 1, 0, 0, 0], [0, -1, 0, -1, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, 0, 0, -1, 1, 0, 0], [-1, 1, 0, -1, 1, -1, -1, 0, -1, -1, 0, -1], [0, 1, 0, 1, 0, 1, 0, 1, 0, 0, 0, 0], [0, 0, 0, 0, 0, 1, -1, -1, 0, 0, 0, 0], [0, 0, 0, 0, -1, 0, 0, 0, 0, 0, 0, 1], [3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 0, 0], [-2, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 0, 0, 0, -1, 1, 1, 0, 1, 1, 0, -1], [3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 2, 0], [0, 1, 0, -3, 0, 0, 0, 0, 0, 0, 0, 0], [-2, 6, 0, -2, 6, 0, -2, 2, -2, -2, 0, -2], [1, -2, 0, 4, -2, 0, 1, -1, 1, 1, 0, 4], [0, 0, -2, 0, 0, -1, -1, 1, 0, 0, -2, 0], [0, 0, 0, 0, 0, -2, -3, 2, 0, 0, 0, 0], [0, 0, 0, 0, 3, 0, 0, 0, 0, 0, 0, 1], [0, 0, 0, 0, 0, 1, 3, -1, 0, 0, 0, 0], [1, -6, 0, 2, -6, 0, 1, -1, 1, 1, 0, 2], [-8, 0, -2, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 2, 0, -4, 2, 0, 2, -2, 2, 2, 0, -4], [2, 0, 0, 0, 0, -1, 2, 0, 1, -1, -4, 0], [0, -3, 0, 3, 0, 2, 0, 2, 0, 0, 0, 0], [-5, 0, 0, 0, 0, -2, -5, 0, 2, -2, -2, 0], [0, 4, 0, 2, 4, 0, 0, 0, 0, 0, 0, 2], [2, 0, 0, 0, -7, 2, 2, 0, 2, 2, 0, -3], [2, 0, 0, 0, 0, 0, -2, 2, -2, 2, 0, 0], [0, 1, 0, -3, 0, -1, 0, -1, 0, 0, 0, 0], [-4, 0, 0, 0, -1, -4, -4, 0, -4, -4, 0, 5], [10, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -1, 0, -5, 0, 1, 0, 1, 0, 0, 0, 0], [0, 0, -2, 0, 0, 1, -7, -1, 0, 0, -2, 0], [0, 0, 6, 0, 0, 2, -3, -2, 0, 0, 6, 0], [-10, 0, 4, 0, 0, 0, -4, 4, -4, 4, 0, 0], [3, 2, 0, 2, 2, 0, 3, -3, 3, 3, 0, 2], [0, 5, 0, -1, 0, 2, 0, 2, 0, 0, 0, 0], [0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 1], [0, -1, 0, 3, 0, 0, 0, 0, 0, 0, 0, 0], [4, 0, 0, 0, 0, -5, 4, 0, 5, -5, 2, 0], [5, 0, 2, 0, 0, 0, 3, -3, 3, -3, 0, 0], [0, 0, -2, 0, 0, 3, 13, -3, 0, 0, -2, 0], [-5, 0, 0, 0, 7, -5, -5, 0, -5, -5, 0, -5], [-2, 0, 0, 0, 7, -2, -2, 0, -2, -2, 0, -7], [0, 0, 0, 0, 0, -5, -7, 5, 0, 0, 0, 0], [2, 0, 0, 0, 0, -3, 2, 0, 3, -3, 4, 0], [4, 0, 0, 0, -7, 4, 4, 0, 4, 4, 0, 3], [0, 1, 0, 1, 0, -2, 0, -2, 0, 0, 0, 0], [14, 0, 0, 0, 0, 0, -4, 4, -4, 4, 0, 0], [-2, 6, 0, 0, 6, 0, -2, 2, -2, -2, 0, 0], [-4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 2, 0, 0, 6, 15, -6, 0, 0, 2, 0], [0, 0, -2, 0, 0, 1, 11, -1, 0, 0, -2, 0], [1, 0, 0, 0, -7, 1, 1, 0, 1, 1, 0, 1], [6, 0, 0, 0, 1, 6, 6, 0, 6, 6, 0, 7], [0, 0, 6, 0, 0, -1, 1, 1, 0, 0, 6, 0], [-4, 0, 0, 0, 0, 3, -4, 0, -3, 3, 4, 0], [0, -9, 0, 5, 0, -1, 0, -1, 0, 0, 0, 0], [-3, 0, 2, 0, 0, 0, 1, -1, 1, -1, 0, 0], [0, 0, 0, 0, -3, 0, 0, 0, 0, 0, 0, -3], [0, -9, 0, -3, 0, 1, 0, 1, 0, 0, 0, 0], [4, 0, 0, -10, 0, 0, 4, -4, 4, 4, 0, -10], [14, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, -12, 0, -6, -12, 0, 2, -2, 2, 2, 0, -6], [-1, 0, 0, 10, 0, 0, -1, 1, -1, -1, 0, 10], [0, 0, -2, 0, 0, 1, -11, -1, 0, 0, -2, 0], [1, -10, 0, 0, -10, 0, 1, -1, 1, 1, 0, 0], [0, -1, 0, -5, 0, -2, 0, -2, 0, 0, 0, 0], [18, 0, 0, 0, 0, -1, 18, 0, 1, -1, 2, 0], [-1, 0, 0, 0, -11, -1, -1, 0, -1, -1, 0, 13], [-8, 0, 4, 0, 0, 0, 8, -8, 8, -8, 0, 0], [-6, 0, 0, 0, 13, -6, -6, 0, -6, -6, 0, -3], [0, -11, 0, 3, 0, -7, 0, -7, 0, 0, 0, 0], [2, 0, 0, 0, 0, 5, 2, 0, -5, 5, 0, 0], [0, -5, 0, 1, 0, 2, 0, 2, 0, 0, 0, 0], [-9, 0, 4, 0, 0, 0, -5, 5, -5, 5, 0, 0], [0, 11, 0, -5, 0, 4, 0, 4, 0, 0, 0, 0], [-15, 0, 0, 0, 0, -4, -15, 0, 4, -4, -2, 0], [0, 0, -8, 0, 0, -2, -9, 2, 0, 0, -8, 0], [2, 0, 0, 0, 0, -3, 2, 0, 3, -3, -2, 0], [15, 0, -6, 0, 0, 0, 3, -3, 3, -3, 0, 0], [-4, 0, 0, 0, 0, -1, -4, 0, 1, -1, 6, 0], [0, 3, 0, 13, 0, 3, 0, 3, 0, 0, 0, 0], [0, 0, 0, 0, 0, -1, 0, 0, 1, -1, -2, 0], [-8, 12, 0, -4, 12, 0, -8, 8, -8, -8, 0, -4], [0, 0, -4, 0, 0, 1, 11, -1, 0, 0, -4, 0], [3, 0, 0, 0, 1, 3, 3, 0, 3, 3, 0, 1], [0, 0, 6, 0, 0, 0, 5, 0, 0, 0, 6, 0], [0, -4, 0, 8, -4, 0, 0, 0, 0, 0, 0, 8], [8, -6, 0, 2, -6, 0, 8, -8, 8, 8, 0, 2], [-10, 0, 0, 0, 0, 7, -10, 0, -7, 7, -4, 0], [0, 11, 0, 11, 0, 0, 0, 0, 0, 0, 0, 0], [-4, 0, 0, 0, 0, 5, -4, 0, -5, 5, -8, 0], [-22, 0, 2, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, -7, 0, -5, 0, 2, 0, 2, 0, 0, 0, 0], [11, 0, 0, 0, 0, -6, 11, 0, 6, -6, 4, 0], [7, 0, 2, 0, 0, 0, -1, 1, -1, 1, 0, 0], [-6, 0, 0, 0, -3, -6, -6, 0, -6, -6, 0, 7], [-7, 0, -4, 0, 0, 0, 1, -1, 1, -1, 0, 0], [-6, 8, 0, 4, 8, 0, -6, 6, -6, -6, 0, 4], [-7, 0, 0, 0, 1, -7, -7, 0, -7, -7, 0, 15], [0, 11, 0, -1, 0, 4, 0, 4, 0, 0, 0, 0], [6, 0, 0, 0, 0, 3, 6, 0, -3, 3, 10, 0], [-4, 0, 6, 0, 0, 0, -2, 2, -2, 2, 0, 0], [-3, -2, 0, -2, -2, 0, -3, 3, -3, -3, 0, -2], [2, 0, 0, 0, -5, 2, 2, 0, 2, 2, 0, 13], [3, 10, 0, -2, 10, 0, 3, -3, 3, 3, 0, -2], [10, 0, -2, 0, 0, 0, 2, -2, 2, -2, 0, 0], [7, 0, 0, 0, 0, -8, 7, 0, 8, -8, -4, 0], [0, 1, 0, 1, 0, 10, 0, 10, 0, 0, 0, 0], [-1, 0, 0, 0, -5, -1, -1, 0, -1, -1, 0, -1], [0, -17, 0, 11, 0, -3, 0, -3, 0, 0, 0, 0], [12, 0, -4, 0, 0, 0, -8, 8, -8, 8, 0, 0], [0, 0, -10, 0, 0, -3, 13, 3, 0, 0, -10, 0], [0, 0, 0, 0, 0, -6, 19, 6, 0, 0, 0, 0], [0, -19, 0, 9, 0, -8, 0, -8, 0, 0, 0, 0], [-4, 0, 0, 0, 21, -4, -4, 0, -4, -4, 0, -5], [4, 0, 0, 0, 3, 4, 4, 0, 4, 4, 0, -5], [0, 0, 2, 0, 0, 3, -5, -3, 0, 0, 2, 0], [-19, 0, 0, 0, 0, -2, -19, 0, 2, -2, 2, 0], [7, 0, 0, 0, -15, 7, 7, 0, 7, 7, 0, 9], [-2, 2, 0, -4, 2, 0, -2, 2, -2, -2, 0, -4], [0, -3, 0, 7, 0, -4, 0, -4, 0, 0, 0, 0], [4, 0, 0, 0, 0, -3, 4, 0, 3, -3, -2, 0], [10, 0, -4, 0, 0, 0, 4, -4, 4, -4, 0, 0], [0, 0, 8, 0, 0, 2, -1, -2, 0, 0, 8, 0], [0, 0, -2, 0, 0, -9, -33, 9, 0, 0, -2, 0], [-8, 4, 0, -8, 4, 0, -8, 8, -8, -8, 0, -8], [-5, -4, 0, -2, -4, 0, -5, 5, -5, -5, 0, -2], [-24, 0, 0, 0, 0, -5, -24, 0, 5, -5, -2, 0], [4, 0, 0, 0, -3, 4, 4, 0, 4, 4, 0, -15], [-4, 0, 0, 0, 0, -7, -4, 0, 7, -7, 2, 0], [-4, 0, 0, 0, 5, -4, -4, 0, -4, -4, 0, -3], [0, 0, -2, 0, 0, 5, -21, -5, 0, 0, -2, 0], [2, 0, 0, 0, 0, 5, 2, 0, -5, 5, 4, 0], [0, 19, 0, -19, 0, -2, 0, -2, 0, 0, 0, 0], [0, -1, 0, -11, 0, -4, 0, -4, 0, 0, 0, 0], [0, 1, 0, 15, 0, 6, 0, 6, 0, 0, 0, 0], [-23, 0, 0, 0, 0, 8, -23, 0, -8, 8, -4, 0], [26, 0, 4, 0, 0, 0, -2, 2, -2, 2, 0, 0], [-18, 0, 0, 0, 0, -1, -18, 0, 1, -1, 2, 0], [0, -5, 0, 9, 0, -10, 0, -10, 0, 0, 0, 0], [6, 0, 0, 6, 0, 0, 6, -6, 6, 6, 0, 6], [1, 0, 0, 0, 0, 4, 1, 0, -4, 4, 0, 0], [0, 0, -6, 0, 0, -3, -25, 3, 0, 0, -6, 0], [5, 6, 0, -12, 6, 0, 5, -5, 5, 5, 0, -12], [-7, 0, 0, 20, 0, 0, -7, 7, -7, -7, 0, 20], [-10, 0, 12, 0, 0, 0, 8, -8, 8, -8, 0, 0], [-6, -4, 0, 6, -4, 0, -6, 6, -6, -6, 0, 6], [0, 3, 0, -23, 0, -9, 0, -9, 0, 0, 0, 0], [3, 0, 0, 0, 0, 2, 3, 0, -2, 2, 12, 0], [-8, 14, 0, -8, 14, 0, -8, 8, -8, -8, 0, -8], [4, 0, 0, 0, -9, 4, 4, 0, 4, 4, 0, -5], [2, 0, 0, 0, 11, 2, 2, 0, 2, 2, 0, -15], [24, 0, -6, 0, 0, 0, 2, -2, 2, -2, 0, 0], [0, 0, 8, 0, 0, 5, 11, -5, 0, 0, 8, 0], [0, 0, -2, 0, 0, -2, 11, 2, 0, 0, -2, 0], [7, 6, 0, -2, 6, 0, 7, -7, 7, 7, 0, -2], [-14, 0, -10, 0, 0, 0, 4, -4, 4, -4, 0, 0], [12, 0, 0, 0, -11, 12, 12, 0, 12, 12, 0, -5], [0, -11, 0, -9, 0, 2, 0, 2, 0, 0, 0, 0], [-8, -6, 0, 12, -6, 0, -8, 8, -8, -8, 0, 12], [0, 0, 6, 0, 0, -3, 39, 3, 0, 0, 6, 0], [-9, 0, 0, 0, -5, -9, -9, 0, -9, -9, 0, -3], [-2, -12, 0, 4, -12, 0, -2, 2, -2, -2, 0, 4], [18, 0, 0, 0, 0, 9, 18, 0, -9, 9, 8, 0], [0, -15, 0, 7, 0, -3, 0, -3, 0, 0, 0, 0]], 'char_orbit_index': 14, 'field_poly': [1, 0, -10, 0, 92, 0, -78, 0, 54, 0, -8, 0, 1], 'hecke_orbit_code': 893386752065, 'hecke_ring_character_values': [[27, [-1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], [41, [0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1, 1222, 1222, 1222, 2444, 1222, 2444, 2444, 2444, 1222, 1], 'hecke_ring_inverse_denominators': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], 'hecke_ring_inverse_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [3, 0, 0, 0, 0, 0, 3, 0, 0, 0, 1, 0], [1, 5, 0, -1, 5, 0, 1, -1, 1, 1, 0, -1], [0, 0, 7, 0, 0, 1, 18, -1, 0, 0, 7, 0], [8, 0, 0, 0, 30, 8, 8, 0, 8, 8, 0, -7], [-107, 0, 46, 0, 0, 0, 8, -8, 8, -8, 0, 0], [0, -191, 0, 46, 0, 54, 0, 54, 0, 0, 0, 0], [-689, 0, 0, 0, 0, -54, -689, 0, 54, -54, -299, 0], [-353, -1233, 0, 299, -1233, 0, -353, 353, -353, -353, 0, 299], [0, 0, -1939, 0, 0, -353, -4812, 353, 0, 0, -1939, 0], [-2292, 0, 0, 0, -7984, -2292, -2292, 0, -2292, -2292, 0, 1939]], 'hecke_ring_numerators': [[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [3531, 0, 20, 0, -184, 0, 729, 0, -108, 0, 16, 0], [0, 11156, 0, 135, 0, -1242, 0, 4768, 0, -729, 0, 108], [0, -1330, 0, 12236, 0, -9801, 0, 7182, 0, -1064, 0, 135], [-3045, -5181, 28014, -115, -26893, 1058, 16443, -4039, -2436, 621, 293, -92], [-1330, 0, 12236, 0, -9801, 0, 7182, 0, -1064, 0, 135, 0], [3045, -5181, -28014, -115, 26893, 1058, -16443, -4039, 2436, 621, -293, -92], [524, -5705, -52601, 52486, 47553, -46495, -34846, 30807, 5185, -4564, -655, 563], [2737, -524, 115, 52601, -1058, -47553, 4039, 34846, -621, -5185, 92, 655], [324, 0, -35486, 0, 29403, 0, -21546, 0, 3192, 0, -405, 0], [0, -10, 0, 92, 0, -78, 0, 54, 0, -8, 0, 1]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 12, 'label': '65.2.n.a', 'level': 65, 'maxp': 997, '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

{'Nk2': 260, 'analytic_conductor': 0.5190276131383225, 'char_conductor': 65, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 14, 'char_orbit_label': 'n', 'char_order': 6, 'char_parity': 1, 'char_values': [65, 6, [27, 41], [3, 4]], 'conrey_index': 9, 'cusp_dim': 12, 'dim': 12, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_cutter_primes': [], 'hecke_orbit_code': 893386752065, 'hecke_orbit_dims': [12], 'label': '65.2.n', 'level': 65, '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': True, 'level_primes': [5, 13], 'level_radical': 65, 'mf_dim': 20, 'mf_new_dim': 20, 'num_forms': 1, 'prim_orbit_index': 14, 'relative_dim': 6, 'sturm_bound': 14, 'trace_bound': 0, 'trace_display': [0, 0, -6, 0], 'traces': [12, 0, 0, 4, -6, -10, 0, 0, 6, 7, 0, 0, 0, -44, -4, -16, 0, 0, 12, -1, -8, 0, 0, 32, -2, 24, 0, 0, 18, 4, -16, 0, 0, 16, 10, -2, 0, 0, -32, 70, 14, 0, 0, -4, -29, 10, 0, 0, 6, -31, 24, 0, 0, -22, -26, -16, 0, 0, -4, -96, 6, 0, 0, -12, 23, 4, 0, 0, -24, 20, -12, 0, 0, 8, 2, -10, 0, 0, -104, 33, 14, 0, 0, 90, 21, -4, 0, 0, 20, 62, -44, 0, 0, 56, 20, 12, 0, 0, 104, -47, -26, 0, 0, -6, 60, 6, 0, 0, 24, -24, 12, 0, 0, 22, 4, 24, 0, 0, -28, -40, 14, 0, 0, -96, -24, -20, 0, 0, -104, -35, 120, 0, 0, -54, 20, -54, 0, 0, 44, -50, -72, 0, 0, -132, -9, -70, 0, 0, 42, 48, -104, 0, 0, 2, 4, 68, 0, 0, 68, 17, 8, 0, 0, 200, -2, 36, 0, 0, 30, 42, 40, 0, 0, -60, -60, 50, 0, 0, 20, -27, 68, 0, 0, -32, -21, 104, 0, 0, -48, -20, -64, 0, 0, -116, 40, 4, 0, 0, 12, -10, 16, 0, 0, 6, -5, 76, 0, 0, -104, 60, 4, 0, 0, 102, 2, -32, 0, 0, 80, 56, -72, 0, 0, 70, 27, 24, 0, 0, 168, -4, -56, 0, 0, -46, 52, -86, 0, 0, -48, -54, -50, 0, 0, 0, -29, -228, 0, 0, -92, -32, -64, 0, 0, 42, -64, 68, 0, 0, -56, 86, 36, 0, 0, -48, -58, -46, 0, 0, 0, 10, -32, 0, 0, -120, 28, 14, 0, 0, -4, 30, -28, 0, 0, 6, -20, 98, 0, 0, -32, -21, 176, 0, 0, -16, -22, 54, 0, 0, 32, 188, 56, 0, 0, 36, -55, -42, 0, 0, -12, -98, 152, 0, 0, 86, -60, 56, 0, 0, 0, -98, -12, 0, 0, 192, 1, 92, 0, 0, 40, -4, 68, 0, 0, -22, -24, -26, 0, 0, -120, -17, 4, 0, 0, 48, 38, 4, 0, 0, 104, 100, -28, 0, 0, 82, 32, -332, 0, 0, -80, 5, 38, 0, 0, -190, 10, 6, 0, 0, 20, 21, 80, 0, 0, -50, 74, 40, 0, 0, 12, 30, -112, 0, 0, 2, 100, -12, 0, 0, -92, -144, -24, 0, 0, -42, 56, -56, 0, 0, 48, 21, -86, 0, 0, -208, -57, -66, 0, 0, 26, -105, -104, 0, 0, -8, -128, -62, 0, 0, 16, -120, 156, 0, 0, -20, 57, -18, 0, 0, 60, 4, -36, 0, 0, 240, 12, 4, 0, 0, 4, -30, 116, 0, 0, -6, 12, 38, 0, 0, -68, -6, 4, 0, 0, 100, 150, 32, 0, 0, 28, 96, -18, 0, 0, 48, 96, 68, 0, 0, 184, 26, -16, 0, 0, -4, -30, 140, 0, 0, -52, 52, -54, 0, 0, -98, 74, -88, 0, 0, -96, -31, -8, 0, 0, 64, -56, 108, 0, 0, -256, 126, -4, 0, 0, 60, 63, -4, 0, 0, 58, 38, -60, 0, 0, 92, -68, 62, 0, 0, 104, -75, 92, 0, 0, 40, -240, -142, 0, 0, -114, -29, -44, 0, 0, 292, -4, 64, 0, 0, -52, 50, -100, 0, 0, -36, -116, 206, 0, 0, -110, -28, 72, 0, 0, -200, -32, -122, 0, 0, -60, -240, 52, 0, 0, -88, -29, 66, 0, 0, 16, -10, -24, 0, 0, -142, -2, 98, 0, 0, 100, -6, -20, 0, 0, -180, 4, -352, 0, 0, -20, 216, 152, 0, 0, -2, -10, 240, 0, 0, 112, -70, 50, 0, 0, -224, -31, 260, 0, 0, -12, 110, -196, 0, 0, -4, 100, -88, 0, 0, 128, 94, 4, 0, 0, 102, -58, -200, 0, 0, 140, 60, -116, 0, 0, 46, 116, -288, 0, 0, 64, 75, -150, 0, 0, -90, 212, 66, 0, 0, 96, -115, -360, 0, 0, -16, -60, 124, 0, 0, 52, -46, -118, 0, 0, 440, 30, 42, 0, 0, -80, 24, 208, 0, 0, -146, -120, 236, 0, 0, 28, -25, -24, 0, 0, -120, 53, 134, 0, 0, 194, -104, 28, 0, 0, -36, 6, -96, 0, 0, -44, 40, 104, 0, 0, 104, 88, 112, 0, 0, 34, -76, -56, 0, 0, -84, 30, 228, 0, 0, 140, 118, 140, 0, 0, -62, -3, 112, 0, 0, 252, 5, -52, 0, 0, -106, 2, -12, 0, 0, -140, -34, 28, 0, 0, -220, 25, -120, 0, 0, -384, -114, -28, 0, 0, 54, -164, 30, 0, 0, -104, 100, 152, 0, 0, -54, 57, -204, 0, 0, 4, 50, -76, 0, 0, -4, 188, -236, 0, 0, 64, -142, -104, 0, 0, 66, -226, -100, 0, 0, -40, 28, 36, 0, 0, 180, -142, 2, 0, 0, -92, -91, -48, 0, 0, -194, -60, -300, 0, 0, -130, -153, 328, 0, 0, -100, 30, -82, 0, 0, -60, -190, -112, 0, 0, 160, 56, -74, 0, 0, 6, -64, 304, 0, 0, 166, -10, 50, 0, 0, 120, 380, 120, 0, 0, 380, 69, -104, 0, 0, 12, 34, -12, 0, 0, -18, 30, -4, 0, 0, -72, 46, 176, 0, 0, -70, -2, 168, 0, 0, -4, 24, -64, 0, 0, -22, 10, 280, 0, 0, 112, -26, -6, 0, 0, -40, -172, 56, 0, 0, 56, 178, -100, 0, 0, -198, 122, -228, 0, 0, -24, 121, -22, 0, 0, 118, 118, 276, 0, 0, -252, -40, 264, 0, 0, -64, 0, 48, 0, 0, -20, 40, -172, 0, 0, 300, -57, -16, 0, 0, -82, -96, -80, 0, 0, 28, -156, 60, 0, 0, 20, -158, -208, 0, 0, -252, 50, -2, 0, 0, 150, -180, 148, 0, 0, 116, 112, -16, 0, 0, 172, 8, 12, 0, 0, 112, 121, 86, 0, 0, -28, 148, -240, 0, 0, 484, 70, -232, 0, 0, 44, 54, 116, 0, 0, -252, 34, 24, 0, 0, 104, -28, 92, 0, 0, 42, -136, -288, 0, 0, -28, -100], 'weight': 2, 'weight_parity': 1}

Column	Type
conductor	integer
degree	integer
multiplicity	smallint
order	integer
parity	smallint
self_twist_disc	integer
source_char_orbit	smallint
source_dim	integer
source_hecke_orbit	integer
source_is_minimal	boolean
source_label	text
source_level	integer
target_char_orbit	smallint
target_dim	integer
target_hecke_orbit	integer
target_is_minimal	boolean
target_label	text
target_level	integer
twist_class_label	text
twist_class_level	integer
twisting_char_label	text
twisting_char_orbit	smallint
weight	smallint

mf_twists_nf • Show schema

id: 57010
{'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 14, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '65.2.n.a', 'target_level': 65, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 2}
id: 57011
{'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 14, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '65.2.n.a', 'target_level': 65, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 2}
id: 57012
{'conductor': 13, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 14, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '65.2.n.a', 'target_level': 65, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '13.c', 'twisting_char_orbit': 3, 'weight': 2}
id: 57013
{'conductor': 65, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 14, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': True, 'target_label': '65.2.n.a', 'target_level': 65, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '65.n', 'twisting_char_orbit': 14, 'weight': 2}
id: 57014
{'conductor': 5, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 5, 'target_dim': 12, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '325.2.e.e', 'target_level': 325, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 2}
id: 57015
{'conductor': 65, 'degree': 4, 'multiplicity': 2, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 5, 'target_dim': 12, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '325.2.e.e', 'target_level': 325, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '65.q', 'twisting_char_orbit': 17, 'weight': 2}
id: 57016
{'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 45, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '585.2.bs.a', 'target_level': 585, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 2}
id: 57017
{'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 45, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '585.2.bs.a', 'target_level': 585, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 2}
id: 57018
{'conductor': 39, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 45, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '585.2.bs.a', 'target_level': 585, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '39.i', 'twisting_char_orbit': 9, 'weight': 2}
id: 57019
{'conductor': 195, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 45, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '585.2.bs.a', 'target_level': 585, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '195.x', 'twisting_char_orbit': 24, 'weight': 2}
id: 57020
{'conductor': 13, 'degree': 2, 'multiplicity': 1, 'order': 3, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '845.2.b.d', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '13.c', 'twisting_char_orbit': 3, 'weight': 2}
id: 57021
{'conductor': 65, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '845.2.b.d', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '65.n', 'twisting_char_orbit': 14, 'weight': 2}
id: 57022
{'conductor': 13, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '845.2.b.e', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '13.e', 'twisting_char_orbit': 5, 'weight': 2}
id: 57023
{'conductor': 65, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 2, 'target_dim': 6, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '845.2.b.e', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '65.l', 'twisting_char_orbit': 12, 'weight': 2}
id: 57024
{'conductor': 13, 'degree': 4, 'multiplicity': 2, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 4, 'target_dim': 12, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '845.2.d.d', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '13.f', 'twisting_char_orbit': 6, 'weight': 2}
id: 57025
{'conductor': 65, 'degree': 4, 'multiplicity': 2, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 4, 'target_dim': 12, 'target_hecke_orbit': 4, 'target_is_minimal': False, 'target_label': '845.2.d.d', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '65.s', 'twisting_char_orbit': 19, 'weight': 2}
id: 57026
{'conductor': 13, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 12, 'target_dim': 24, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '845.2.l.f', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '13.d', 'twisting_char_orbit': 4, 'weight': 2}
id: 57027
{'conductor': 13, 'degree': 4, 'multiplicity': 2, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 12, 'target_dim': 24, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '845.2.l.f', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '13.f', 'twisting_char_orbit': 6, 'weight': 2}
id: 57028
{'conductor': 65, 'degree': 2, 'multiplicity': 2, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 12, 'target_dim': 24, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '845.2.l.f', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '65.g', 'twisting_char_orbit': 7, 'weight': 2}
id: 57029
{'conductor': 65, 'degree': 4, 'multiplicity': 2, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 12, 'target_dim': 24, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '845.2.l.f', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '65.s', 'twisting_char_orbit': 19, 'weight': 2}
id: 57030
{'conductor': 13, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 14, 'target_dim': 12, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '845.2.n.e', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '13.b', 'twisting_char_orbit': 2, 'weight': 2}
id: 57031
{'conductor': 13, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 14, 'target_dim': 12, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '845.2.n.e', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '13.e', 'twisting_char_orbit': 5, 'weight': 2}
id: 57032
{'conductor': 65, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 14, 'target_dim': 12, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '845.2.n.e', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '65.d', 'twisting_char_orbit': 4, 'weight': 2}
id: 57033
{'conductor': 65, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 14, 'target_dim': 12, 'target_hecke_orbit': 5, 'target_is_minimal': False, 'target_label': '845.2.n.e', 'target_level': 845, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '65.l', 'twisting_char_orbit': 12, 'weight': 2}
id: 57034
{'conductor': 4, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 86, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1040.2.dh.a', 'target_level': 1040, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '4.b', 'twisting_char_orbit': 2, 'weight': 2}
id: 57035
{'conductor': 20, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 86, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1040.2.dh.a', 'target_level': 1040, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '20.d', 'twisting_char_orbit': 4, 'weight': 2}
id: 57036
{'conductor': 52, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 86, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1040.2.dh.a', 'target_level': 1040, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '52.j', 'twisting_char_orbit': 10, 'weight': 2}
id: 57037
{'conductor': 260, 'degree': 2, 'multiplicity': 1, 'order': 6, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 86, 'target_dim': 12, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '1040.2.dh.a', 'target_level': 1040, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '260.v', 'twisting_char_orbit': 22, 'weight': 2}
id: 57038
{'conductor': 65, 'degree': 4, 'multiplicity': 2, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 43, 'target_is_minimal': False, 'target_label': '4225.2.a.bq', 'target_level': 4225, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '65.r', 'twisting_char_orbit': 18, 'weight': 2}
id: 57039
{'conductor': 65, 'degree': 4, 'multiplicity': 2, 'order': 12, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 14, 'source_dim': 12, 'source_hecke_orbit': 1, 'source_is_minimal': True, 'source_label': '65.2.n.a', 'source_level': 65, 'target_char_orbit': 1, 'target_dim': 6, 'target_hecke_orbit': 44, 'target_is_minimal': False, 'target_label': '4225.2.a.br', 'target_level': 4225, 'twist_class_label': '65.2.n.a', 'twist_class_level': 65, 'twisting_char_label': '65.q', 'twisting_char_orbit': 17, 'weight': 2}

Column	Type
charpoly_factorization	jsonb
hecke_orbit_code	bigint
p	integer

mf_hecke_charpolys • Show schema

id: 211800
{'charpoly_factorization': [[[1, 0, -10, 0, 92, 0, -78, 0, 54, 0, -8, 0, 1], 1]], 'hecke_orbit_code': 893386752065, 'p': 2}
id: 211801
{'charpoly_factorization': [[[16, 0, -140, 0, 1177, 0, -412, 0, 109, 0, -12, 0, 1], 1]], 'hecke_orbit_code': 893386752065, 'p': 3}
id: 211802
{'charpoly_factorization': [[[125, 75, 25, 10, 5, 3, 1], 2]], 'hecke_orbit_code': 893386752065, 'p': 5}
id: 211803
{'charpoly_factorization': [[[160000, 0, -71600, 0, 22441, 0, -3496, 0, 397, 0, -24, 0, 1], 1]], 'hecke_orbit_code': 893386752065, 'p': 7}
id: 211804
{'charpoly_factorization': [[[64, -104, 169, -16, 13, 0, 1], 2]], 'hecke_orbit_code': 893386752065, 'p': 11}
id: 211805
{'charpoly_factorization': [[[4826809, 0, -428415, 0, 6591, 0, -322, 0, 39, 0, -15, 0, 1], 1]], 'hecke_orbit_code': 893386752065, 'p': 13}
id: 211806
{'charpoly_factorization': [[[28561, 0, -27547, 0, 20654, 0, -5367, 0, 1062, 0, -35, 0, 1], 1]], 'hecke_orbit_code': 893386752065, 'p': 17}
id: 211807
{'charpoly_factorization': [[[100, -10, 61, -14, 37, -6, 1], 2]], 'hecke_orbit_code': 893386752065, 'p': 19}
id: 211808
{'charpoly_factorization': [[[16, 0, -140, 0, 1177, 0, -412, 0, 109, 0, -12, 0, 1], 1]], 'hecke_orbit_code': 893386752065, 'p': 23}
id: 211809
{'charpoly_factorization': [[[9, -3, 1], 6]], 'hecke_orbit_code': 893386752065, 'p': 29}
id: 211810
{'charpoly_factorization': [[[40, -40, 4, 1], 4]], 'hecke_orbit_code': 893386752065, 'p': 31}
id: 211811
{'charpoly_factorization': [[[28561, 0, -27547, 0, 20654, 0, -5367, 0, 1062, 0, -35, 0, 1], 1]], 'hecke_orbit_code': 893386752065, 'p': 37}
id: 211812
{'charpoly_factorization': [[[25, 145, 806, 213, 78, -7, 1], 2]], 'hecke_orbit_code': 893386752065, 'p': 41}
id: 211813
{'charpoly_factorization': [[[65536, 0, -72448, 0, 59609, 0, -22128, 0, 6117, 0, -80, 0, 1], 1]], 'hecke_orbit_code': 893386752065, 'p': 43}
id: 211814
{'charpoly_factorization': [[[270400, 0, 14640, 0, 236, 0, 1], 2]], 'hecke_orbit_code': 893386752065, 'p': 47}
id: 211815
{'charpoly_factorization': [[[400, 0, 1040, 0, 171, 0, 1], 2]], 'hecke_orbit_code': 893386752065, 'p': 53}
id: 211816
{'charpoly_factorization': [[[18496, 7480, 3297, 162, 59, 2, 1], 2]], 'hecke_orbit_code': 893386752065, 'p': 59}
id: 211817
{'charpoly_factorization': [[[13225, -5635, 2746, -83, 58, -3, 1], 2]], 'hecke_orbit_code': 893386752065, 'p': 61}
id: 211818
{'charpoly_factorization': [[[406586896, 0, -52486892, 0, 4759209, 0, -219972, 0, 7397, 0, -100, 0, 1], 1]], 'hecke_orbit_code': 893386752065, 'p': 67}
id: 211819
{'charpoly_factorization': [[[676, 26, 157, 46, 37, 6, 1], 2]], 'hecke_orbit_code': 893386752065, 'p': 71}
id: 211820
{'charpoly_factorization': [[[250000, 0, 13900, 0, 215, 0, 1], 2]], 'hecke_orbit_code': 893386752065, 'p': 73}
id: 211821
{'charpoly_factorization': [[[160, 180, 26, 1], 4]], 'hecke_orbit_code': 893386752065, 'p': 79}
id: 211822
{'charpoly_factorization': [[[640000, 0, 23600, 0, 276, 0, 1], 2]], 'hecke_orbit_code': 893386752065, 'p': 83}
id: 211823
{'charpoly_factorization': [[[2515396, -249002, 40509, -1602, 257, -10, 1], 2]], 'hecke_orbit_code': 893386752065, 'p': 89}
id: 211824
{'charpoly_factorization': [[[41740124416, 0, -2934418352, 0, 149090649, 0, -3613032, 0, 64037, 0, -280, 0, 1], 1]], 'hecke_orbit_code': 893386752065, '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': 14, 'hecke_orbit': 1, 'label': '65.2.n.a', 'level': 65, 'portrait': 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', 'weight': 2}

Column	Type
hecke_orbit_code	bigint
n	integer
trace_an	numeric

mf_hecke_traces • Show schema

id: 11440302
{'hecke_orbit_code': 893386752065, 'n': 1, 'trace_an': 12}
id: 11440303
{'hecke_orbit_code': 893386752065, 'n': 2, 'trace_an': 0}
id: 11440304
{'hecke_orbit_code': 893386752065, 'n': 3, 'trace_an': 0}
id: 11440305
{'hecke_orbit_code': 893386752065, 'n': 4, 'trace_an': 4}
id: 11440306
{'hecke_orbit_code': 893386752065, 'n': 5, 'trace_an': -6}
id: 11440307
{'hecke_orbit_code': 893386752065, 'n': 6, 'trace_an': -10}
id: 11440308
{'hecke_orbit_code': 893386752065, 'n': 7, 'trace_an': 0}
id: 11440309
{'hecke_orbit_code': 893386752065, 'n': 8, 'trace_an': 0}
id: 11440310
{'hecke_orbit_code': 893386752065, 'n': 9, 'trace_an': 6}
id: 11440311
{'hecke_orbit_code': 893386752065, 'n': 10, 'trace_an': 7}
id: 11440312
{'hecke_orbit_code': 893386752065, 'n': 11, 'trace_an': 0}
id: 11440313
{'hecke_orbit_code': 893386752065, 'n': 12, 'trace_an': 0}
id: 11440314
{'hecke_orbit_code': 893386752065, 'n': 13, 'trace_an': 0}
id: 11440315
{'hecke_orbit_code': 893386752065, 'n': 14, 'trace_an': -44}
id: 11440316
{'hecke_orbit_code': 893386752065, 'n': 15, 'trace_an': -4}
id: 11440317
{'hecke_orbit_code': 893386752065, 'n': 16, 'trace_an': -16}
id: 11440318
{'hecke_orbit_code': 893386752065, 'n': 17, 'trace_an': 0}
id: 11440319
{'hecke_orbit_code': 893386752065, 'n': 18, 'trace_an': 0}
id: 11440320
{'hecke_orbit_code': 893386752065, 'n': 19, 'trace_an': 12}
id: 11440321
{'hecke_orbit_code': 893386752065, 'n': 20, 'trace_an': -1}
id: 11440322
{'hecke_orbit_code': 893386752065, 'n': 21, 'trace_an': -8}
id: 11440323
{'hecke_orbit_code': 893386752065, 'n': 22, 'trace_an': 0}
id: 11440324
{'hecke_orbit_code': 893386752065, 'n': 23, 'trace_an': 0}
id: 11440325
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{'hecke_orbit_code': 893386752065, 'n': 929, 'trace_an': -82}
id: 11440549
{'hecke_orbit_code': 893386752065, 'n': 937, 'trace_an': 0}
id: 11440550
{'hecke_orbit_code': 893386752065, 'n': 941, 'trace_an': -208}
id: 11440551
{'hecke_orbit_code': 893386752065, 'n': 947, 'trace_an': 0}
id: 11440552
{'hecke_orbit_code': 893386752065, 'n': 953, 'trace_an': 0}
id: 11440553
{'hecke_orbit_code': 893386752065, 'n': 961, 'trace_an': 12}
id: 11440554
{'hecke_orbit_code': 893386752065, 'n': 967, 'trace_an': 0}
id: 11440555
{'hecke_orbit_code': 893386752065, 'n': 971, 'trace_an': -240}
id: 11440556
{'hecke_orbit_code': 893386752065, 'n': 977, 'trace_an': 0}
id: 11440557
{'hecke_orbit_code': 893386752065, 'n': 983, 'trace_an': 0}
id: 11440558
{'hecke_orbit_code': 893386752065, 'n': 991, 'trace_an': 92}
id: 11440559
{'hecke_orbit_code': 893386752065, 'n': 997, 'trace_an': 0}

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.