Embedded newform data - 4275.2.a.g.1.1

Formats: - HTML - YAML - JSON - 2026-10-10T09:20:13.299730

• mf_newforms •

  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

  
  {'Nk2': 17100, 'analytic_conductor': 34.136046864097366, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[3, 1], [5, -1], [19, -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': [4275, 1, [1901, 1027, 1351], [1, 1, 1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 1, 'field_disc': 1, 'field_disc_factorization': [], 'field_poly': [0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': 1, 'has_non_self_twist': 0, 'hecke_cutters': [[2, [1, 1]], [7, [-2, 1]], [11, [-2, 1]]], 'hecke_orbit': 7, 'hecke_orbit_code': 27021597797781683, 'hecke_ring_generator_nbound': 1, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '4275.2.a.g', 'level': 4275, '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': [3, 5, 19], 'level_radical': 285, 'minimal_twist': '855.2.c.a', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}-q^{4}+2q^{7}+3q^{8}+2q^{11}+\\cdots', 'related_objects': ['EllipticCurve/Q/4275/g'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '4275.2.a', 'trace_display': [-1, 0, 0, 2], 'trace_hash': 82043976108061172, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.017', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '2.014', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '4.971', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.018', 'prec': 7}, 'traces': [1, -1, 0, -1, 0, 0, 2, 3, 0, 0, 2, 0, -2, -2, 0, -1, -2, 0, 1, 0, 0, -2, 0, 0, 0, 2, 0, -2, -6, 0, -4, -5, 0, 2, 0, 0, 2, -1, 0, 0, 2, 0, -10, -2, 0, 0, 0, 0, -3, 0, 0, 2, 10, 0, 0, 6, 0, 6, 0, 0, -10, 4, 0, 7, 0, 0, -4, 2, 0, 0, -8, 0, 4, -2, 0, -1, 4, 0, -8, 0, 0, -2, 12, 0, 0, 10, 0, 6, 10, 0, -4, 0, 0, 0, 0, 0, -18, 3, 0, 0, 0, 0, 16, -6, 0, -10, 8, 0, -6, 0, 0, -2, -6, 0, 0, 6, 0, 0, -4, 0, -7, 10, 0, 4, 0, 0, 12, 3, 0, 0, -18, 0, 2, 4, 0, -6, 6, 0, -4, 0, 0, 8, -4, 0, 0, -4, 0, -2, 8, 0, -12, 3, 0, -4, 0, 0, 16, 8, 0, 0, 0, 0, -14, -2, 0, -12, 0, 0, -9, 0, 0, 10, 6, 0, 0, -2, 0, -10, 24, 0, -6, 4, 0, 0, 0, 0, -4, 0, 0, 0, -18, 0, 10, 18, 0, 3, 6, 0, -8, 0, 0, 0, -12, 0, 0, -16, 0, 2, 2, 0, -4, -10, 0, -8, 0, 0, -8, 6, 0, 0, 4, 0, -8, -10, 0, 6, -4, 0, -22, 0, 0, -18, -14, 0, 0, 0, 0, 4, 2, 0, -14, 7, 0, 10, 0, 0, -2, -12, 0, 0, -14, 0, 0, -12, 0, -17, -30, 0, 4, 0, 0, 18, -24, 0, 0, -2, 0, 4, -6, 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-6, 0, 0, 28, 0, 0, -4, 0, -108, -38, 0, -16, 0, 0, 16, 0, 0, 0, 16, 0, 4, 2, 0, 32, 6, 0, -24, 0, 0, 8, -68, 0, 0, -62, 0, -76, 24, 0, 0, 60, 0, 47, 0, 0, -2, 108, 0, 0, -34, 0, -10, -78, 0, 16, 24, 0, 102, 0, 0, -60, 0, 0, 0, 8, 0, -34, -12, 0, -10, -42, 0, 0, 0, 0, -18, 48, 0, 0, -58, 0, -50, 8, 0, -52, 0, 0, -68, 0, 0, -60, 74, 0, 0, 24, 0, 44, -24, 0, 62, 0, 0, -12, 0, 0, 66, 18, 0, 0, -42, 0, -28, 36, 0, 40, 36, 0, -32, 0, 0, 36, 3, 0, 0, 0, 0, -48, -36, 0, 6, 62, 0, 16, 0, 0, -46, -4, 0, 0, -28, 0, -14, 6, 0, -16, 20, 0, 0, 0, 0, -98, -64, 0, 0, 0, 0, -16, -20, 0, -4, 8, 0, 0, 0, 0, 36, 36, 0, 0, -102, 0, -12, -80, 0, -12, -32, 0, 0, 0, 0, -36, 8, 0, 0, 8, 0, 2, 8, 0, -28, 78, 0, -12, 0, 0, -2, 72, 0, 0, -6, 0, 60, 72, 0, 100, -20, 0, 48, 0, 0, 44, -34, 0, 0, 0, 0, 16, -54, 0, 14, -96, 0, 30, 0, 0, 4, 8, 0, 0, -16, 0, -6, -78, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  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

  
  {'an_normalized': [[1.0, 0.0], [-0.7071067811865476, 0.0], [0.0, 0.0], [-0.5, 0.0], [0.0, 0.0], [0.0, 0.0], [0.7559289460184545, 0.0], [1.0606601717798212, 0.0], [0.0, 0.0], [0.0, 0.0], [0.6030226891555273, 0.0], [0.0, 0.0], [-0.5547001962252291, 0.0], [-0.5345224838248488, 0.0], [0.0, 0.0], [-0.25, 0.0], [-0.48507125007266594, 0.0], [0.0, 0.0], [0.22941573387056177, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4264014327112209, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.3922322702763681, 0.0], [0.0, 0.0], [-0.37796447300922725, 0.0], [-1.1141720290623112, 0.0], [0.0, 0.0], [-0.7184212081070996, 0.0], [-0.8838834764831844, 0.0], [0.0, 0.0], [0.3429971702850177, 0.0], [0.0, 0.0], [0.0, 0.0], [0.3287979746107146, 0.0], [-0.16222142113076254, 0.0], [0.0, 0.0], [0.0, 0.0], [0.31234752377721214, 0.0], [0.0, 0.0], [-1.5249857033260468, 0.0], [-0.30151134457776363, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.42857142857142855, 0.0], [0.0, 0.0], [0.0, 0.0], [0.2773500981126146, 0.0], [1.3736056394868903, 0.0], [0.0, 0.0], [0.0, 0.0], [0.8017837257372732, 0.0], [0.0, 0.0], [0.7878385971583354, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.2803687993289596, 0.0], [0.508000508000762, 0.0], [0.0, 0.0], [0.875, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.4886777774252209, 0.0], [0.24253562503633297, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9494253265550827, 0.0], [0.0, 0.0], [0.4681645887845223, 0.0], [-0.23249527748763857, 0.0], [0.0, 0.0], [-0.11470786693528089, 0.0], [0.4558423058385518, 0.0], [0.0, 0.0], [-0.9000703207408192, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.2208630521496931, 0.0], [1.317171119876284, 0.0], [0.0, 0.0], [0.0, 0.0], [1.0783277320343843, 0.0], [0.0, 0.0], [0.6396021490668313, 0.0], [1.05999788000636, 0.0], [0.0, 0.0], [-0.4193139346887673, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.8276230972405143, 0.0], [0.30304576336566325, 0.0], [0.0, 0.0], [0.0, 0.0]], 'angles': [-0.307513364040654, None, None, -0.18831207139278752, -0.20125444273946583, -0.29472809375551673, -0.2889895651886847, None, -0.25, -0.3440403189239459, -0.3084770123204803, -0.22371577164437328, -0.22504200852309533, -0.38801238274785393, -0.25, -0.12950679398853415, -0.25, -0.36057103081184777, -0.28928546523106125, -0.32872400892627135, -0.21239574068433573, -0.32429427729286076, -0.13557753176547002, -0.16109615775532363, -0.43343753062617174, -0.25, -0.1054902208244961, -0.18680838001913785, -0.29638678953887115, -0.2955347852630818, -0.16064250483417686, -0.3940116485037234, -0.20874704869761704, -0.277129888445529, -0.19686445666484528, -0.3311864969146922, -0.13978391950790817, -0.3423590339588189, -0.25, -0.2133766679112504, -0.0728988992388899, -0.28579057725765616, -0.3628706454210755, -0.19140405987573164, -0.21571754494020187, -0.2957565080233012, -0.27198319018085865, -0.29315820223170536, -0.27118951330153185, -0.37951992831078674, -0.3258218158994122, -0.23969792986517408, -0.32445016778041763, -0.3228363588961757, -0.4426037666533836, -0.38257583678906293, -0.27927637030754704, -0.25, -0.21137107238353608, -0.13608032899568479, -0.3634303923384851, -0.25930322811866513, -0.3466698798043049, -0.22279313838986256, -0.1313628056739959, -0.31430893202142085, -0.32246111833229735, -0.14774108648195738, -0.4585582536154223, -0.24147655749674052, -0.07000312123743076, -0.15141726510459821, -0.42374286369119923, -0.3271530855665355, -0.18260161104228703, -0.4358071884886855, -0.4329784425797823, -0.282169635280827, -0.11525170669582088, -0.15847069647451664, -0.17754614633772992, -0.322268621966347, -0.20333698525273947, -0.1426024547735142, -0.3123511436459294, -0.23485378893005376, -0.21208753108089975, -0.05744751813914599, -0.11617836139075981, -0.19726439693026096, -0.23524926634718066, -0.31744868763260414, -0.19095914729587923, -0.3497830267364962, -0.3238715158451915, -0.19195051441760647, -0.4404478312336816, -0.4359166283463036, -0.19312212413880747, -0.24315528478103735], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 1, 'embedding_root_imag': 0.0, 'embedding_root_real': 0.0, 'hecke_orbit': 7, 'hecke_orbit_code': 27021597797781683, 'label': '4275.2.a.g.1.1', 'level': 4275, 'weight': 2}
• mf_newspaces •

  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

  
  {'ALdims': [12, 16, 18, 10, 21, 19, 21, 25], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [5, 6, 6, 6, 6, 6, 6, 6], 'ALdims_old': [55, 62, 56, 60, 57, 47, 49, 49], 'Nk2': 17100, 'analytic_conductor': 34.136046864097366, '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': [4275, 1, [1901, 1027, 1351], [1, 1, 1]], 'conrey_index': 1, 'cusp_dim': 577, 'dim': 142, 'eis_dim': 47, 'eis_new_dim': 0, 'hecke_cutter_primes': [2, 7, 11], 'hecke_orbit_code': 33558707, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 6, 6, 6, 6, 6, 7, 7, 12], 'label': '4275.2.a', 'level': 4275, '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': [3, 5, 19], 'level_radical': 285, 'mf_dim': 624, 'mf_new_dim': 142, 'num_forms': 50, 'plus_dim': 62, 'prim_orbit_index': 1, 'relative_dim': 142, 'sturm_bound': 1200, 'trace_bound': 13, 'trace_display': [1, 0, 0, 5], 'traces': [142, 1, 0, 143, 0, 0, 5, -3, 0, 0, 13, 0, -2, -12, 0, 145, -11, 0, -2, 0, 0, 4, -8, 0, 0, 6, 0, 18, 32, 0, 0, 5, 0, 18, 0, 0, -12, -3, 0, 0, 0, 0, 13, 66, 0, 36, -1, 0, 145, 0, 0, 14, 26, 0, 0, 8, 0, 10, -18, 0, -9, 8, 0, 185, 0, 0, 12, -52, 0, 0, -42, 0, 1, 62, 0, -5, -41, 0, 8, 0, 0, 38, 16, 0, 0, 4, 0, -32, -2, 0, -16, 40, 0, -32, 0, 0, -6, 5, 0, 0, 28, 0, -34, 18, 0, 6, 34, 0, 38, 0, 0, 88, 20, 0, 0, 142, 0, 20, -11, 0, 213, 26, 0, -76, 0, 0, 46, -59, 0, 0, 3, 0, 1, 8, 0, 106, 29, 0, 9, 0, 0, 48, 36, 0, 0, -102, 0, -34, 57, 0, -74, -3, 0, -20, 0, 0, 36, 40, 0, 0, 0, 0, 28, -134, 0, -108, 2, 0, 170, 0, 0, 78, -24, 0, 0, 228, 0, -66, 38, 0, 56, 64, 0, 136, 0, 0, -15, 90, 0, 0, 69, 0, 14, 26, 0, 245, -56, 0, -35, 0, 0, 42, 14, 0, 0, -36, 0, -22, 25, 0, 126, 86, 0, -140, 0, 0, 44, -74, 0, 0, -56, 0, 34, 132, 0, 166, 0, 0, -71, 0, 0, 18, -81, 0, 0, 8, 0, -88, -19, 0, -28, 137, 0, -92, 0, 0, 2, -16, 0, 0, 75, 0, -20, -8, 0, -35, -74, 0, 62, 0, 0, 52, -29, 0, 0, 24, 0, 16, -106, 0, -92, -130, 0, -222, 0, 0, -3, 80, 0, 0, -12, 0, -71, -152, 0, -100, 38, 0, 221, 0, 0, 60, -18, 0, 0, 74, 0, -166, -40, 0, -85, -40, 0, -35, 0, 0, -36, -262, 0, 0, -177, 0, 16, 6, 0, 4, -68, 0, -38, 0, 0, 40, -15, 0, 0, -68, 0, 86, 17, 0, -124, 92, 0, -136, 0, 0, -138, 103, 0, 0, -120, 0, -5, 216, 0, 42, 99, 0, -115, 0, 0, 204, -116, 0, 0, 154, 0, -116, 177, 0, 142, -106, 0, 200, 0, 0, 12, 200, 0, 0, -72, 0, -86, 144, 0, -92, 36, 0, -14, 0, 0, 88, 4, 0, 0, 126, 0, -138, -53, 0, -4, 53, 0, 186, 0, 0, -43, 116, 0, 0, 230, 0, 184, -26, 0, 60, -110, 0, 182, 0, 0, -40, -82, 0, 0, 26, 0, 28, -44, 0, -122, 132, 0, -70, 0, 0, -45, 244, 0, 0, 60, 0, -4, -240, 0, 190, -16, 0, 18, 0, 0, -44, 163, 0, 0, 88, 0, 172, -34, 0, -42, -70, 0, -132, 0, 0, 23, -70, 0, 0, 9, 0, 15, 246, 0, 286, 67, 0, -192, 0, 0, -180, 71, 0, 0, 10, 0, 48, 72, 0, 284, -190, 0, 81, 0, 0, 10, -62, 0, 0, -64, 0, -122, -6, 0, -148, 154, 0, 107, 0, 0, -172, -84, 0, 0, -320, 0, 148, -202, 0, -35, -87, 0, -74, 0, 0, -115, -176, 0, 0, 106, 0, -90, -138, 0, 48, 88, 0, 198, 0, 0, -30, 20, 0, 0, 148, 0, -134, 62, 0, -125, -272, 0, -58, 0, 0, -40, -20, 0, 0, 28, 0, 128, 50, 0, -270, -143, 0, 24, 0, 0, -130, 226, 0, 0, -368, 0, -40, 86, 0, -84, -100, 0, -232, 0, 0, -5, -129, 0, 0, -172, 0, 224, -230, 0, -418, -157, 0, -12, 0, 0, -114, -208, 0, 0, -148, 0, 136, -188, 0, -168, 12, 0, -92, 0, 0, -12, -39, 0, 0, -152, 0, 157, 36, 0, -304, 177, 0, 372, 0, 0, 80, 8, 0, 0, -78, 0, -30, 34, 0, 113, -48, 0, -154, 0, 0, 50, -192, 0, 0, 278, 0, 33, -68, 0, 14, -207, 0, 90, 0, 0, 8, 197, 0, 0, -498, 0, -200, -178, 0, 270, 244, 0, -296, 0, 0, -64, -140, 0, 0, -85, 0, 112, -94, 0, 53, 28, 0, 204, 0, 0, -24, 100, 0, 0, 120, 0, 244, 216, 0, 191, 54, 0, -696, 0, 0, -134, -182, 0, 0, -44, 0, 40, 200, 0, -362, 126, 0, 148, 0, 0, -226, 256, 0, 0, 148, 0, -136, -127, 0, -222, 1, 0, -210, 0, 0, -37, 304, 0, 0, 121, 0, 88, 0, 0, -92, 96, 0, 137, 0, 0, -8, -88, 0, 0, -138, 0, -42, 102, 0, 180, 188, 0, -204, 0, 0, 43, 68, 0, 0, 309, 0, 88, -234, 0, -340, -128, 0, -173, 0, 0, -98, -40, 0, 0, -122, 0, -278, 20, 0, 62, 160, 0, -183, 0, 0, 128, -206, 0, 0, -302, 0, 92, -142, 0, -214, -42, 0, -265, 0, 0, -202, -103, 0, 0, 284, 0, -154, -25, 0, 104, 252, 0, 152, 0, 0, 41, -62, 0, 0, 269, 0, 37, 76, 0, -208, -72, 0, 402, 0, 0, 98, 60, 0, 0, 118, 0, 36, -302, 0, 30, -170, 0, 220, 0, 0, 14, 402, 0, 0, 20, 0, 16, -540, 0, -228, 160, 0, -15, 0, 0, 200, 42, 0, 0, -154, 0, 216, 172, 0, 80, -138, 0, 44, 0, 0, 12, -472, 0, 0, -59, 0, 313, 212, 0, 132, -58, 0, -182, 0, 0, -132, -21, 0, 0, 488, 0, 142, -128, 0, 216, -48, 0, 30, 0, 0, -112, 56, 0, 0, -518, 0, -64, 346, 0, -288, 45, 0, -100, 0, 0, -30, -152, 0, 0, -168, 0, 138, 12, 0, 1, -184, 0, -188, 0, 0, 105, 312, 0, 0, -204, 0, -8, 12, 0, -252, 8, 0, 68, 0, 0, -168, -146, 0, 0, -550, 0, -40, 213, 0, -198, -20, 0, -98, 0, 0, 316, 433, 0, 0, 168, 0, 47, -304, 0, 238, -90, 0, -200, 0, 0, 292, -144, 0, 0, -8, 0, -22, 348, 0, -394, 232, 0, 28, 0, 0, -7, 640, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  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

  
  
  • id: 45557559
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597797781683, 'source_is_minimal': False, 'source_label': '4275.2.a.g.1.1', 'source_level': 4275, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597797781683, 'target_is_minimal': False, 'target_label': '4275.2.a.g.1.1', 'target_level': 4275, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 45557560
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597797781683, 'source_is_minimal': False, 'source_label': '4275.2.a.g.1.1', 'source_level': 4275, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795189375155, 'target_is_minimal': False, 'target_label': '4275.2.a.n.1.1', 'target_level': 4275, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 45557561
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597797781683, 'source_is_minimal': False, 'source_label': '4275.2.a.g.1.1', 'source_level': 4275, 'target_conrey_index': 514, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007336727249751, 'target_is_minimal': True, 'target_label': '855.2.c.c.514.1', 'target_level': 855, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '5.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 45557562
    {'conductor': 5, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597797781683, 'source_is_minimal': False, 'source_label': '4275.2.a.g.1.1', 'source_level': 4275, 'target_conrey_index': 514, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007336727249751, 'target_is_minimal': True, 'target_label': '855.2.c.c.514.2', 'target_level': 855, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '5.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 45557563
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597797781683, 'source_is_minimal': False, 'source_label': '4275.2.a.g.1.1', 'source_level': 4275, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 45035996307263667, 'target_is_minimal': False, 'target_label': '4275.2.a.k.1.1', 'target_level': 4275, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 45557564
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597797781683, 'source_is_minimal': False, 'source_label': '4275.2.a.g.1.1', 'source_level': 4275, 'target_conrey_index': 514, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 137472508759, 'target_is_minimal': True, 'target_label': '855.2.c.a.514.2', 'target_level': 855, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '15.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 45557565
    {'conductor': 15, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597797781683, 'source_is_minimal': False, 'source_label': '4275.2.a.g.1.1', 'source_level': 4275, 'target_conrey_index': 514, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137472508759, 'target_is_minimal': True, 'target_label': '855.2.c.a.514.1', 'target_level': 855, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '15.8', 'twisting_conrey_index': 8, 'weight': 2}
  • id: 45557566
    {'conductor': 15, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 27021597797781683, 'source_is_minimal': False, 'source_label': '4275.2.a.g.1.1', 'source_level': 4275, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798915670195, 'target_is_minimal': False, 'target_label': '4275.2.a.d.1.1', 'target_level': 4275, 'twist_class_label': '855.2.c.a.514.1', 'twist_class_level': 855, 'twisting_char_label': '15.14', 'twisting_conrey_index': 14, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 3550775
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 2}
  • id: 3550776
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 3}
  • id: 3550777
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 5}
  • id: 3550778
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 7}
  • id: 3550779
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 11}
  • id: 3550780
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 13}
  • id: 3550781
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 17}
  • id: 3550782
    {'charpoly_factorization': [[[-1, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 19}
  • id: 3550783
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 23}
  • id: 3550784
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 29}
  • id: 3550785
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 31}
  • id: 3550786
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 37}
  • id: 3550787
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 41}
  • id: 3550788
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 43}
  • id: 3550789
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 47}
  • id: 3550790
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 53}
  • id: 3550791
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 59}
  • id: 3550792
    {'charpoly_factorization': [[[10, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 61}
  • id: 3550793
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 67}
  • id: 3550794
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 71}
  • id: 3550795
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 73}
  • id: 3550796
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 79}
  • id: 3550797
    {'charpoly_factorization': [[[-12, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 83}
  • id: 3550798
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 89}
  • id: 3550799
    {'charpoly_factorization': [[[18, 1], 1]], 'hecke_orbit_code': 27021597797781683, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 7, 'label': '4275.2.a.g', 'level': 4275, 'portrait': 'data:image/png;base64,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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  Showing the first 100 of 258 matching records in this table.
  • id: 45613087
    {'hecke_orbit_code': 27021597797781683, 'n': 1, 'trace_an': 1}
  • id: 45613088
    {'hecke_orbit_code': 27021597797781683, 'n': 2, 'trace_an': -1}
  • id: 45613089
    {'hecke_orbit_code': 27021597797781683, 'n': 3, 'trace_an': 0}
  • id: 45613090
    {'hecke_orbit_code': 27021597797781683, 'n': 4, 'trace_an': -1}
  • id: 45613091
    {'hecke_orbit_code': 27021597797781683, 'n': 5, 'trace_an': 0}
  • id: 45613092
    {'hecke_orbit_code': 27021597797781683, 'n': 6, 'trace_an': 0}
  • id: 45613093
    {'hecke_orbit_code': 27021597797781683, 'n': 7, 'trace_an': 2}
  • id: 45613094
    {'hecke_orbit_code': 27021597797781683, 'n': 8, 'trace_an': 3}
  • id: 45613095
    {'hecke_orbit_code': 27021597797781683, 'n': 9, 'trace_an': 0}
  • id: 45613096
    {'hecke_orbit_code': 27021597797781683, 'n': 10, 'trace_an': 0}
  • id: 45613097
    {'hecke_orbit_code': 27021597797781683, 'n': 11, 'trace_an': 2}
  • id: 45613098
    {'hecke_orbit_code': 27021597797781683, 'n': 12, 'trace_an': 0}
  • id: 45613099
    {'hecke_orbit_code': 27021597797781683, 'n': 13, 'trace_an': -2}
  • id: 45613100
    {'hecke_orbit_code': 27021597797781683, 'n': 14, 'trace_an': -2}
  • id: 45613101
    {'hecke_orbit_code': 27021597797781683, 'n': 15, 'trace_an': 0}
  • id: 45613102
    {'hecke_orbit_code': 27021597797781683, 'n': 16, 'trace_an': -1}
  • id: 45613103
    {'hecke_orbit_code': 27021597797781683, 'n': 17, 'trace_an': -2}
  • id: 45613104
    {'hecke_orbit_code': 27021597797781683, 'n': 18, 'trace_an': 0}
  • id: 45613105
    {'hecke_orbit_code': 27021597797781683, 'n': 19, 'trace_an': 1}
  • id: 45613106
    {'hecke_orbit_code': 27021597797781683, 'n': 20, 'trace_an': 0}
  • id: 45613107
    {'hecke_orbit_code': 27021597797781683, 'n': 21, 'trace_an': 0}
  • id: 45613108
    {'hecke_orbit_code': 27021597797781683, 'n': 22, 'trace_an': -2}
  • id: 45613109
    {'hecke_orbit_code': 27021597797781683, 'n': 23, 'trace_an': 0}
  • id: 45613110
    {'hecke_orbit_code': 27021597797781683, 'n': 24, 'trace_an': 0}
  • id: 45613111
    {'hecke_orbit_code': 27021597797781683, 'n': 25, 'trace_an': 0}
  • id: 45613112
    {'hecke_orbit_code': 27021597797781683, 'n': 26, 'trace_an': 2}
  • id: 45613113
    {'hecke_orbit_code': 27021597797781683, 'n': 27, 'trace_an': 0}
  • id: 45613114
    {'hecke_orbit_code': 27021597797781683, 'n': 28, 'trace_an': -2}
  • id: 45613115
    {'hecke_orbit_code': 27021597797781683, 'n': 29, 'trace_an': -6}
  • id: 45613116
    {'hecke_orbit_code': 27021597797781683, 'n': 30, 'trace_an': 0}
  • id: 45613117
    {'hecke_orbit_code': 27021597797781683, 'n': 31, 'trace_an': -4}
  • id: 45613118
    {'hecke_orbit_code': 27021597797781683, 'n': 32, 'trace_an': -5}
  • id: 45613119
    {'hecke_orbit_code': 27021597797781683, 'n': 33, 'trace_an': 0}
  • id: 45613120
    {'hecke_orbit_code': 27021597797781683, 'n': 34, 'trace_an': 2}
  • id: 45613121
    {'hecke_orbit_code': 27021597797781683, 'n': 35, 'trace_an': 0}
  • id: 45613122
    {'hecke_orbit_code': 27021597797781683, 'n': 36, 'trace_an': 0}
  • id: 45613123
    {'hecke_orbit_code': 27021597797781683, 'n': 37, 'trace_an': 2}
  • id: 45613124
    {'hecke_orbit_code': 27021597797781683, 'n': 38, 'trace_an': -1}
  • id: 45613125
    {'hecke_orbit_code': 27021597797781683, 'n': 39, 'trace_an': 0}
  • id: 45613126
    {'hecke_orbit_code': 27021597797781683, 'n': 40, 'trace_an': 0}
  • id: 45613127
    {'hecke_orbit_code': 27021597797781683, 'n': 41, 'trace_an': 2}
  • id: 45613128
    {'hecke_orbit_code': 27021597797781683, 'n': 42, 'trace_an': 0}
  • id: 45613129
    {'hecke_orbit_code': 27021597797781683, 'n': 43, 'trace_an': -10}
  • id: 45613130
    {'hecke_orbit_code': 27021597797781683, 'n': 44, 'trace_an': -2}
  • id: 45613131
    {'hecke_orbit_code': 27021597797781683, 'n': 45, 'trace_an': 0}
  • id: 45613132
    {'hecke_orbit_code': 27021597797781683, 'n': 46, 'trace_an': 0}
  • id: 45613133
    {'hecke_orbit_code': 27021597797781683, 'n': 47, 'trace_an': 0}
  • id: 45613134
    {'hecke_orbit_code': 27021597797781683, 'n': 48, 'trace_an': 0}
  • id: 45613135
    {'hecke_orbit_code': 27021597797781683, 'n': 49, 'trace_an': -3}
  • id: 45613136
    {'hecke_orbit_code': 27021597797781683, 'n': 50, 'trace_an': 0}
  • id: 45613137
    {'hecke_orbit_code': 27021597797781683, 'n': 51, 'trace_an': 0}
  • id: 45613138
    {'hecke_orbit_code': 27021597797781683, 'n': 52, 'trace_an': 2}
  • id: 45613139
    {'hecke_orbit_code': 27021597797781683, 'n': 53, 'trace_an': 10}
  • id: 45613140
    {'hecke_orbit_code': 27021597797781683, 'n': 54, 'trace_an': 0}
  • id: 45613141
    {'hecke_orbit_code': 27021597797781683, 'n': 55, 'trace_an': 0}
  • id: 45613142
    {'hecke_orbit_code': 27021597797781683, 'n': 56, 'trace_an': 6}
  • id: 45613143
    {'hecke_orbit_code': 27021597797781683, 'n': 57, 'trace_an': 0}
  • id: 45613144
    {'hecke_orbit_code': 27021597797781683, 'n': 58, 'trace_an': 6}
  • id: 45613145
    {'hecke_orbit_code': 27021597797781683, 'n': 59, 'trace_an': 0}
  • id: 45613146
    {'hecke_orbit_code': 27021597797781683, 'n': 60, 'trace_an': 0}
  • id: 45613147
    {'hecke_orbit_code': 27021597797781683, 'n': 61, 'trace_an': -10}
  • id: 45613148
    {'hecke_orbit_code': 27021597797781683, 'n': 62, 'trace_an': 4}
  • id: 45613149
    {'hecke_orbit_code': 27021597797781683, 'n': 63, 'trace_an': 0}
  • id: 45613150
    {'hecke_orbit_code': 27021597797781683, 'n': 64, 'trace_an': 7}
  • id: 45613151
    {'hecke_orbit_code': 27021597797781683, 'n': 65, 'trace_an': 0}
  • id: 45613152
    {'hecke_orbit_code': 27021597797781683, 'n': 66, 'trace_an': 0}
  • id: 45613153
    {'hecke_orbit_code': 27021597797781683, 'n': 67, 'trace_an': -4}
  • id: 45613154
    {'hecke_orbit_code': 27021597797781683, 'n': 68, 'trace_an': 2}
  • id: 45613155
    {'hecke_orbit_code': 27021597797781683, 'n': 69, 'trace_an': 0}
  • id: 45613156
    {'hecke_orbit_code': 27021597797781683, 'n': 70, 'trace_an': 0}
  • id: 45613157
    {'hecke_orbit_code': 27021597797781683, 'n': 71, 'trace_an': -8}
  • id: 45613158
    {'hecke_orbit_code': 27021597797781683, 'n': 72, 'trace_an': 0}
  • id: 45613159
    {'hecke_orbit_code': 27021597797781683, 'n': 73, 'trace_an': 4}
  • id: 45613160
    {'hecke_orbit_code': 27021597797781683, 'n': 74, 'trace_an': -2}
  • id: 45613161
    {'hecke_orbit_code': 27021597797781683, 'n': 75, 'trace_an': 0}
  • id: 45613162
    {'hecke_orbit_code': 27021597797781683, 'n': 76, 'trace_an': -1}
  • id: 45613163
    {'hecke_orbit_code': 27021597797781683, 'n': 77, 'trace_an': 4}
  • id: 45613164
    {'hecke_orbit_code': 27021597797781683, 'n': 78, 'trace_an': 0}
  • id: 45613165
    {'hecke_orbit_code': 27021597797781683, 'n': 79, 'trace_an': -8}
  • id: 45613166
    {'hecke_orbit_code': 27021597797781683, 'n': 80, 'trace_an': 0}
  • id: 45613167
    {'hecke_orbit_code': 27021597797781683, 'n': 81, 'trace_an': 0}
  • id: 45613168
    {'hecke_orbit_code': 27021597797781683, 'n': 82, 'trace_an': -2}
  • id: 45613169
    {'hecke_orbit_code': 27021597797781683, 'n': 83, 'trace_an': 12}
  • id: 45613170
    {'hecke_orbit_code': 27021597797781683, 'n': 84, 'trace_an': 0}
  • id: 45613171
    {'hecke_orbit_code': 27021597797781683, 'n': 85, 'trace_an': 0}
  • id: 45613172
    {'hecke_orbit_code': 27021597797781683, 'n': 86, 'trace_an': 10}
  • id: 45613173
    {'hecke_orbit_code': 27021597797781683, 'n': 87, 'trace_an': 0}
  • id: 45613174
    {'hecke_orbit_code': 27021597797781683, 'n': 88, 'trace_an': 6}
  • id: 45613175
    {'hecke_orbit_code': 27021597797781683, 'n': 89, 'trace_an': 10}
  • id: 45613176
    {'hecke_orbit_code': 27021597797781683, 'n': 90, 'trace_an': 0}
  • id: 45613177
    {'hecke_orbit_code': 27021597797781683, 'n': 91, 'trace_an': -4}
  • id: 45613178
    {'hecke_orbit_code': 27021597797781683, 'n': 92, 'trace_an': 0}
  • id: 45613179
    {'hecke_orbit_code': 27021597797781683, 'n': 93, 'trace_an': 0}
  • id: 45613180
    {'hecke_orbit_code': 27021597797781683, 'n': 94, 'trace_an': 0}
  • id: 45613181
    {'hecke_orbit_code': 27021597797781683, 'n': 95, 'trace_an': 0}
  • id: 45613182
    {'hecke_orbit_code': 27021597797781683, 'n': 96, 'trace_an': 0}
  • id: 45613183
    {'hecke_orbit_code': 27021597797781683, 'n': 97, 'trace_an': -18}
  • id: 45613184
    {'hecke_orbit_code': 27021597797781683, 'n': 98, 'trace_an': 3}
  • id: 45613185
    {'hecke_orbit_code': 27021597797781683, 'n': 99, 'trace_an': 0}
  • id: 45613186
    {'hecke_orbit_code': 27021597797781683, 'n': 100, 'trace_an': 0}