Embedded newform data - 2254.2.a.a.1.1

Formats: - HTML - YAML - JSON - 2026-09-16T20:00:49.355611

• 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': 9016, 'analytic_conductor': 17.9982806155966, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [7, -1], [23, 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': [2254, 1, [1473, 1569], [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': [[3, [2, 1]], [5, [0, 1]], [11, [-4, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 33556686, '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': '2254.2.a.a', 'level': 2254, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 23], 'level_radical': 322, 'minimal_twist': '322.2.a.b', 'nf_label': '1.1.1.1', 'prim_orbit_index': 1, 'qexp_display': 'q-q^{2}-2q^{3}+q^{4}+2q^{6}-q^{8}+q^{9}+\\cdots', 'related_objects': ['EllipticCurve/Q/2254/a'], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2254.2.a', 'trace_display': [-1, -2, 0, 0], 'trace_hash': 1893920378025621139, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.006', 'prec': 4}, {'__RealLiteral__': 0, 'data': '0.972', 'prec': 10}, 0, {'__RealLiteral__': 0, 'data': '1.930', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '4.867', 'prec': 14}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.025', 'prec': 7}, 'traces': [1, -1, -2, 1, 0, 2, 0, -1, 1, 0, 4, -2, 0, 0, 0, 1, -6, -1, 6, 0, 0, -4, -1, 2, -5, 0, 4, 0, 10, 0, -4, -1, -8, 6, 0, 1, -2, -6, 0, 0, 10, 0, -4, 4, 0, 1, -12, -2, 0, 5, 12, 0, -6, -4, 0, 0, -12, -10, 2, 0, 0, 4, 0, 1, 0, 8, 0, -6, 2, 0, -8, -1, 6, 2, 10, 6, 0, 0, -8, 0, -11, -10, 14, 0, 0, 4, -20, -4, 14, 0, 0, -1, 8, 12, 0, 2, 2, 0, 4, -5, 4, -12, 4, 0, 0, 6, 16, 4, -10, 0, 4, 0, -2, 12, 0, 10, 0, -2, 0, 0, 5, 0, -20, -4, 0, 0, 16, -1, 8, 0, -6, -8, 0, 0, 0, 6, 10, -2, -10, 0, 24, 8, 0, 1, 0, -6, 0, -2, 18, -10, 16, -6, -6, 0, 0, 0, 12, 8, 12, 0, 0, 11, 0, 10, 0, -14, -12, 0, -13, 0, 6, -4, 16, 20, 0, 4, -4, -14, 12, 0, 12, 0, 0, 1, 0, -8, -24, -12, 0, 0, -8, -2, 14, -2, 0, 0, 6, -4, -4, 5, 0, -4, 0, 12, 0, -4, -1, 0, 24, 0, 12, -6, 16, -16, 0, -4, 0, 10, -12, 0, 0, -4, -8, 0, -5, 2, 14, -12, 20, 0, 0, -10, 26, 0, 0, 2, 16, 0, 0, 0, 18, -5, 10, 0, 0, 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-52, 60, 0, 0, 32, 64, 0, 66, 0, 0, 10, 0, 42, 0, -20, -6, 0, 8, 0, 12, -12, 0, 10, 0, 0, 16, 6, 0, 0, 76, 0, -42, -16, 0, -44, -8, 24, 0, 0, -60, -10, 52, 32, 0, 0, 32, 32, 24, -30, 72, 0, 0, 64, 0, -14, 98, -40, -30, 0, -56, 24, -88, 2, 0, -16, 0, -10, -72, 0, 0, -12, 40, 0, -80, 16, -4, 0, 144, 0, 0, -18, 8, 0, 0, -48, -20, 0, 38, 0, 0, 10, 60, -60, 0, -22, 80, 48, 12, -20, -12, 0, -72, -13, 0, 80, 30, 36, 0, 0, -24, -4, 74, 2, 0, 0, 0, -16, 36, 0, 80, 6, 0, -28, 50, 120, 16, 16, -46, 0, -88, -28, -64, 0, 0, 6, 0, 33, -112, 0, -22, -20, 0, 0, 0, 54, 0, -40, -100, 0, 0, -4, 18, -66, 0, 0, 48, 0, -56, 0, 8, -50, 2, -6, 0, 48, -48, 16, 0, 0, 0, 0, -24, -36, -20, -24, 90, 16, 0, 0, 16, 0, -5, 20, 0, 0, 108, -60, 0, 0, 76, -16, 0, -64, 0, -52, -86, 72, -8, 0, -2, 60, -62, 6, 0, 0, 0, 0, -17, 0, -76, -12, 20, 0, 0, 4, -14, 30, 14, 0, 0, 84, 48, -14, 10, -12, 88, 0, 20, 0, 108, -4, -34, 0, 0, -2, 66, -32, 72, 0, -48, 0, 28, -8, 0, -16, 0, -14, 0, -60, 48, 4, 30, 46, 0, 0, 58, -34, -4, 0, 40, 24, 0, 12, 0, -30, 0, 0, 96, 0, 40, 24, 78, -24, 0, 28, 0, -40, 48, 0, 0, 24, 30, 0, 0, 0, -52, -17, 64, 0, 0, -36, 96, 64, 0, 12, 50, 0, 0, -50, 16, -16, 0, 10, 0, 46, -36, -44, -10, 0, -80, 0, -44, -48, 0, 13, 8, -50, 0, 0, -16, -64, 16, 24, 0, 0, -48, 0, 40, 0, -100, 24, 0, 0, 0, 24, -112, 0, 30, 0, -96, 8, -40, 1, 0, 56, 0, 0, 88, 10, 0, -10, 2, 0, 0, 0, 84, -120, -64, 0, 0, -10, 12, 0, 0, -14, -8, 0, 74, 0, 30, 32, -64, -16, 0, -8, 0, -50, -32, 0, 0, 0, 72, 14, 0, -42, 40, 14, 0, 0, -40, -24, 60, 40, 0, 0, 22, -4, 52, 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], [-1.1547005383792515, 0.0], [0.5, 0.0], [0.0, 0.0], [0.816496580927726, 0.0], [0.0, 0.0], [-0.3535533905932738, 0.0], [0.3333333333333333, 0.0], [0.0, 0.0], [1.2060453783110545, 0.0], [-0.5773502691896257, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.25, 0.0], [-1.4552137502179978, 0.0], [-0.23570226039551584, 0.0], [1.3764944032233706, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.8528028654224418, 0.0], [-0.20851441405707477, 0.0], [0.408248290463863, 0.0], [-1.0, 0.0], [0.0, 0.0], [0.769800358919501, 0.0], [0.0, 0.0], [1.8569533817705186, 0.0], [0.0, 0.0], [-0.7184212081070996, 0.0], [-0.1767766952966369, 0.0], [-1.3926212476455828, 0.0], [1.028991510855053, 0.0], [0.0, 0.0], [0.16666666666666666, 0.0], [-0.3287979746107146, 0.0], [-0.9733285267845753, 0.0], [0.0, 0.0], [0.0, 0.0], [1.5617376188860606, 0.0], [0.0, 0.0], [-0.6099942813304187, 0.0], [0.6030226891555273, 0.0], [0.0, 0.0], [0.14744195615489714, 0.0], [-1.7503798979747347, 0.0], [-0.28867513459481287, 0.0], [0.0, 0.0], [0.7071067811865476, 0.0], [1.6803361008336117, 0.0], [0.0, 0.0], [-0.8241633836921342, 0.0], [-0.5443310539518174, 0.0], [0.0, 0.0], [0.0, 0.0], [-1.5894388284780525, 0.0], [-1.3130643285972257, 0.0], [0.2603778219616477, 0.0], [0.0, 0.0], [0.0, 0.0], [0.508000508000762, 0.0], [0.0, 0.0], [0.125, 0.0], [0.0, 0.0], [0.9847319278346619, 0.0], [0.0, 0.0], [-0.7276068751089989, 0.0], [0.2407717061715384, 0.0], [0.0, 0.0], [-0.9494253265550827, 0.0], [-0.11785113019775792, 0.0], [0.7022468831767834, 0.0], [0.23249527748763857, 0.0], [1.1547005383792515, 0.0], [0.6882472016116853, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.9000703207408192, 0.0], [0.0, 0.0], [-1.2222222222222223, 0.0], [-1.1043152607484654, 0.0], [1.536699639855665, 0.0], [0.0, 0.0], [0.0, 0.0], [0.43133109281375365, 0.0], [-2.14422506967559, 0.0], [-0.4264014327112209, 0.0], [1.483997032008904, 0.0], [0.0, 0.0], [0.0, 0.0], [-0.10425720702853739, 0.0], [0.8295613557843402, 0.0], [1.237705495510552, 0.0], [0.0, 0.0], [0.2041241452319315, 0.0], [0.2030692330267238, 0.0], [0.0, 0.0], [0.40201512610368484, 0.0], [-0.5, 0.0]], 'angles': [None, -0.3479566380076518, -0.25, None, -0.1469814168498227, -0.25, -0.3796837315047693, -0.1291902240414111, None, -0.0605594707954217, -0.3084770123204803, -0.2762842283556267, -0.10738835626136137, -0.2993277552285206, -0.41963184445020585, -0.31759908521341196, -0.22922080863414368, -0.25, -0.25, -0.32872400892627135, -0.19289987439004594, -0.32429427729286076, -0.11053907081045819, -0.11693906143850916, -0.23381236841058103, -0.21811410355839342, -0.21842935982412973, -0.10927994863263008, -0.329484560221779, -0.2649942086844639, -0.12437339926085768, -0.29220936457191626, -0.1797537380356004, -0.319703776228861, -0.11804816014927243, -0.1371684376585112, -0.17052650092787439, -0.25, -0.3268459349867149, -0.1459401693885235, -0.17598613979928737, -0.17642824691978481, -0.29673284607242845, -0.1659543412124187, -0.21571754494020187, -0.2726406742097889, -0.18223050513384004, -0.29315820223170536, -0.17309792607997962, -0.13510462824451733, -0.0877986173506914, -0.25, -0.1515768736864534, -0.23994754658337988, -0.12964724057642013, -0.11742416321093707, -0.33109451087992176, -0.25, -0.07132073115269967, -0.20179437601038522, -0.39056463638458905, -0.2875388141587478, -0.2409116090755185, -0.2864163228420012, -0.31474265172839444, -0.09054623884757985, -0.42104119086998554, -0.14774108648195738, -0.1385965203132736, -0.1795686239420588, -0.18923791109588095, -0.35915739206644415, -0.3577351191234588, -0.309029181964259, -0.33585637942637164, -0.3353579755225651, -0.3645368420508178, -0.3528670184296764, -0.32418796601821837, -0.2736965711387448, -0.14048117893048317, -0.3400528610093335, -0.1519128434659206, -0.3781250919206066, -0.28057186452725913, -0.3287966523152553, -0.3751772328225702, -0.2875728029450435, -0.15561260073641148, -0.22024066133915288, -0.12789746461422022, -0.2941977423264972, -0.3790868821441955, -0.14115590817307735, -0.17612848415480847, -0.30804948558239353, -0.25, -0.3300299826193696, -0.17013750061613506, -0.31323401269457335], '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': 1, 'hecke_orbit_code': 33556686, 'label': '2254.2.a.a.1.1', 'level': 2254, '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': [8, 12, 11, 8, 10, 6, 9, 12], 'ALdims_eis_new': [0, 0, 0, 0, 0, 0, 0, 0], 'ALdims_eis_old': [3, 4, 4, 4, 4, 4, 4, 4], 'ALdims_old': [25, 36, 37, 24, 26, 38, 35, 24], 'Nk2': 9016, 'analytic_conductor': 17.9982806155966, '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': [2254, 1, [1473, 1569], [1, 1]], 'conrey_index': 1, 'cusp_dim': 321, 'dim': 76, 'eis_dim': 31, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 5, 11], 'hecke_orbit_code': 33556686, 'hecke_orbit_dims': [1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 6], 'label': '2254.2.a', 'level': 2254, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 7, 23], 'level_radical': 322, 'mf_dim': 352, 'mf_new_dim': 76, 'num_forms': 28, 'plus_dim': 31, 'prim_orbit_index': 1, 'relative_dim': 76, 'sturm_bound': 672, 'trace_bound': 11, 'trace_display': [-2, 0, -2, 0], 'traces': [76, -2, 0, 76, -2, 0, 0, -2, 84, -2, 6, 0, 4, 0, 24, 76, 12, -10, 10, -2, 0, 2, 0, 0, 80, 0, 24, 0, 4, 0, 16, -2, 0, -16, 0, 84, -42, -10, 0, -2, 12, 0, -58, 6, 6, -2, -8, 0, 0, -34, -16, 4, -18, -24, 0, 0, -56, -24, -12, 24, -6, 16, 0, 76, -44, 16, -30, 12, 4, 0, 56, -10, 4, -26, 24, 10, 0, 24, 20, -2, 124, -24, -30, 0, -36, 10, -24, 2, 0, 22, 0, 0, -32, -8, 72, 0, -12, 0, -2, 80, -4, -32, 40, 0, 0, 6, -30, 24, -6, 32, 48, 0, -8, -48, 2, 4, -12, 44, 0, 0, 144, 18, -72, 16, -84, 0, -40, -2, -32, -36, -44, 0, 0, -42, 80, -16, 20, 4, 28, 0, 16, 0, -20, 84, 4, 16, 0, -42, 14, 40, 48, -10, -36, 0, 24, 0, -10, 44, -48, -2, 0, -18, 4, 12, 64, -18, 16, 0, 68, -20, 18, -58, -56, 24, 0, 6, 40, -36, -116, 6, 26, 0, -8, -2, 20, 40, -28, -8, 0, -16, -20, 0, -96, 8, -32, 0, -52, -38, 20, -34, -32, -56, 0, -16, -12, -40, 16, 4, 12, 0, -32, -18, -48, 38, 8, -24, 0, 26, -96, 0, 64, 16, 80, 0, 272, -20, 22, -56, 10, 10, 0, -24, -24, 32, 80, -12, 128, 0, 120, 24, -12, -94, -48, -6, 0, 0, 20, 16, 72, -36, 18, 0, 6, 40, 40, 76, 60, 0, 0, -44, 108, -68, -8, 16, -12, 0, 8, -30, -48, 56, 64, 12, 0, 8, 218, 4, -92, 20, 72, 0, 128, 80, -42, 56, 80, -60, 0, -10, 68, 20, 56, 4, -58, 0, -120, -26, 128, -114, 0, 24, 0, 80, -152, 10, 84, -64, 32, 0, 80, -144, -56, 24, 28, -58, 0, 20, 84, -48, -20, -2, -96, 0, -28, 124, 84, 44, -48, -24, 0, -96, -88, -30, -154, 80, 64, 0, -104, -22, 48, -36, 24, -50, 0, 10, -24, -52, 76, -24, 40, 0, -8, 2, 24, -128, 64, 0, 0, -140, 132, 22, -8, -14, -176, 0, 132, 8, 20, 0, 124, 4, 0, -32, -162, 76, -40, -8, -32, 0, 42, 72, 144, 36, 48, 0, 0, 4, -194, -12, 226, 0, 20, 0, -56, -168, -40, -2, -12, 12, 0, 80, 180, -48, -168, -4, -50, 0, 120, -32, -120, 92, -80, 40, 0, -10, -128, 0, 40, -28, 58, 0, -210, -64, -32, 6, -20, -48, 0, -30, -136, 88, -276, 24, -28, 0, -312, -6, -2, -72, -8, 32, 0, -256, 84, 48, -76, 64, -160, 0, -204, -234, 52, -8, -176, -38, 0, -48, -164, -62, -408, 2, -32, 0, -336, 4, -64, -188, 10, -12, 0, 112, -120, 44, 52, 16, -146, 0, -106, 104, 16, 0, -60, 8, 0, 144, -268, -112, -128, 18, 32, 0, 108, -72, -96, 52, 16, 16, 0, -80, -68, -84, -240, -2, -84, 0, -92, -14, -16, -40, 0, 120, 0, -2, -296, -40, 168, -32, -104, 0, -368, -36, -68, -160, -14, -44, 0, 32, 104, 0, 76, -28, -116, 0, 120, 128, -40, -42, 96, 36, 0, 80, -244, 32, 64, -16, 116, 0, 160, 20, -110, -98, 164, 4, 0, 120, 32, 28, 26, 88, 204, 0, -184, -124, -50, 16, -84, -22, 0, 0, 268, 80, -158, -20, 128, 0, 12, 84, 52, 82, -128, 4, 0, -104, 32, 16, -364, -26, -92, 0, 80, 224, 0, -42, 108, 96, 0, 14, 240, 12, 192, 40, 132, 0, 26, 48, 118, 144, -40, -10, 0, -204, -256, -36, 98, 48, -192, 0, 24, -24, 46, 24, -8, 24, 0, 0, 128, 144, 120, -10, 36, 0, 160, 44, -96, 160, -64, -48, 0, 76, 160, -2, -140, 32, -186, 0, 256, -116, 32, -18, -24, -56, 0, 4, 56, -80, 8, 12, 276, 0, 194, 64, 66, -136, 64, -18, 0, 54, -12, 16, -152, -64, 200, 0, -140, -100, -56, 68, 54, 48, 0, -20, 160, 104, 240, 18, -116, 0, 104, -58, 36, 8, -76, -56, 0, -60, 24, 24, 64, -20, -40, 0, -254, 248, 80, 6, 32, -36, 0, 40, 78, 64, 12, -36, 24, 0, 224, -116, -16, -68, 80, 6, 0, 114, -280, 26, -212, -112, 4, 0, -132, -68, -52, -8, 46, 76, 0, -2, 148, -88, 220, 20, 32, 0, -352, 40, -28, -2, -38, -28, 0, 320, -56, -8, -336, -8, 80, 0, -14, -18, -8, -16, 72, 112, 0, -20, -332, 32, 176, 0, -188, 0, 112, -96, 66, -30, -8, 8, 0, -70, -276, -32, -8, 8, -48, 0, 100, 64, -90, -52, -192, -56, 0, -38, -68, 144, -144, 20, 114, 0, 64, -34, 224, -104, -124, -32, 0, -88, 400, -56, -144, 62, -60, 0, -296, 144, -8, -16, -116, 76, 0, -12, 104, -176, -64, -40, -64, 0, 138, 16, 72, 128, 8, 4, 0, -32, 32, 12, 136, 6, -72, 0, 36, 134, -128, -32, 242, -112, 0, -18, -200, -88, 22, -48, -4, 0, -112, 38, -272, 248, 80, 8, 0, -36, 240, -24, 132, 24, 168, 0, 344, -72, 36, 26, -124, 2, 0, -96, 44, -40, -56, 0, 80, 0, -272, 64, 64, -220, -16, 16, 0, -52, 38, 80, 160, 0, 136, 0, 40, -192, -8, 272, -108, -52, 0, -20, -228, -16, -98, 22, 44, 0, 212, -56, -20, 64, -24, 10, 0, 56, -12, 10, -192, -44, 240, 0, -206, -32, -24, -24, 60, -80, 0, -24, -384, -74, 8, 32, -288, 0, -304, 80, 22, 128, -36, -12, 0, 28, 12, 128, -232, -46, -56, 0, 124, 166, -240, 120, 288, 0, 0, 24, -132, -172, -254, -12, -292, 0, 192, -94, 256, -116, 54, -48, 0, 136, -8, -6, 316, 0, 156, 0, -94, -76, 36, 0, -108, 24, 0, 20, -26, -80, -24, 16, 192, 0, 16, 72, -40, -76, 240, -36], '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: 28928
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33556686, 'source_is_minimal': False, 'source_label': '2254.2.a.a.1.1', 'source_level': 2254, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 33556686, 'target_is_minimal': False, 'target_label': '2254.2.a.a.1.1', 'target_level': 2254, 'twist_class_label': '322.2.a.b.1.1', 'twist_class_level': 322, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 28929
    {'conductor': 7, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33556686, 'source_is_minimal': False, 'source_label': '2254.2.a.a.1.1', 'source_level': 2254, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 4503599660925250, 'target_is_minimal': True, 'target_label': '322.2.a.b.1.1', 'target_level': 322, 'twist_class_label': '322.2.a.b.1.1', 'twist_class_level': 322, 'twisting_char_label': '7.6', 'twisting_conrey_index': 6, 'weight': 2}
  • id: 28930
    {'conductor': 21, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33556686, 'source_is_minimal': False, 'source_label': '2254.2.a.a.1.1', 'source_level': 2254, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 67553994444114770, 'target_is_minimal': False, 'target_label': '2898.2.a.p.1.1', 'target_level': 2898, 'twist_class_label': '322.2.a.b.1.1', 'twist_class_level': 322, 'twisting_char_label': '21.20', 'twisting_conrey_index': 20, 'weight': 2}
  • id: 28931
    {'conductor': 28, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33556686, 'source_is_minimal': False, 'source_label': '2254.2.a.a.1.1', 'source_level': 2254, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007199288298000, 'target_is_minimal': False, 'target_label': '2576.2.a.c.1.1', 'target_level': 2576, 'twist_class_label': '322.2.a.b.1.1', 'twist_class_level': 322, 'twisting_char_label': '28.27', 'twisting_conrey_index': 27, 'weight': 2}
  • id: 28932
    {'conductor': 35, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33556686, 'source_is_minimal': False, 'source_label': '2254.2.a.a.1.1', 'source_level': 2254, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 58546795189378930, 'target_is_minimal': False, 'target_label': '8050.2.a.n.1.1', 'target_level': 8050, 'twist_class_label': '322.2.a.b.1.1', 'twist_class_level': 322, 'twisting_char_label': '35.34', 'twisting_conrey_index': 34, 'weight': 2}
  • id: 28933
    {'conductor': 161, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 1, 'source_embedding_index': 1, 'source_hecke_orbit_code': 33556686, 'source_is_minimal': False, 'source_label': '2254.2.a.a.1.1', 'source_level': 2254, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398543043822, 'target_is_minimal': False, 'target_label': '7406.2.a.e.1.1', 'target_level': 7406, 'twist_class_label': '322.2.a.b.1.1', 'twist_class_level': 322, 'twisting_char_label': '161.160', 'twisting_conrey_index': 160, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2524850
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 2}
  • id: 2524851
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 3}
  • id: 2524852
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 5}
  • id: 2524853
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 7}
  • id: 2524854
    {'charpoly_factorization': [[[-4, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 11}
  • id: 2524855
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 13}
  • id: 2524856
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 17}
  • id: 2524857
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 19}
  • id: 2524858
    {'charpoly_factorization': [[[1, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 23}
  • id: 2524859
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 29}
  • id: 2524860
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 31}
  • id: 2524861
    {'charpoly_factorization': [[[2, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 37}
  • id: 2524862
    {'charpoly_factorization': [[[-10, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 41}
  • id: 2524863
    {'charpoly_factorization': [[[4, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 43}
  • id: 2524864
    {'charpoly_factorization': [[[12, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 47}
  • id: 2524865
    {'charpoly_factorization': [[[6, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 53}
  • id: 2524866
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 59}
  • id: 2524867
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 61}
  • id: 2524868
    {'charpoly_factorization': [[[0, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 67}
  • id: 2524869
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 71}
  • id: 2524870
    {'charpoly_factorization': [[[-6, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 73}
  • id: 2524871
    {'charpoly_factorization': [[[8, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 79}
  • id: 2524872
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 83}
  • id: 2524873
    {'charpoly_factorization': [[[-14, 1], 1]], 'hecke_orbit_code': 33556686, 'p': 89}
  • id: 2524874
    {'charpoly_factorization': [[[-2, 1], 1]], 'hecke_orbit_code': 33556686, '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': 1, 'label': '2254.2.a.a', 'level': 2254, 'portrait': 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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: 576630
    {'hecke_orbit_code': 33556686, 'n': 1, 'trace_an': 1}
  • id: 576631
    {'hecke_orbit_code': 33556686, 'n': 2, 'trace_an': -1}
  • id: 576632
    {'hecke_orbit_code': 33556686, 'n': 3, 'trace_an': -2}
  • id: 576633
    {'hecke_orbit_code': 33556686, 'n': 4, 'trace_an': 1}
  • id: 576634
    {'hecke_orbit_code': 33556686, 'n': 5, 'trace_an': 0}
  • id: 576635
    {'hecke_orbit_code': 33556686, 'n': 6, 'trace_an': 2}
  • id: 576636
    {'hecke_orbit_code': 33556686, 'n': 7, 'trace_an': 0}
  • id: 576637
    {'hecke_orbit_code': 33556686, 'n': 8, 'trace_an': -1}
  • id: 576638
    {'hecke_orbit_code': 33556686, 'n': 9, 'trace_an': 1}
  • id: 576639
    {'hecke_orbit_code': 33556686, 'n': 10, 'trace_an': 0}
  • id: 576640
    {'hecke_orbit_code': 33556686, 'n': 11, 'trace_an': 4}
  • id: 576641
    {'hecke_orbit_code': 33556686, 'n': 12, 'trace_an': -2}
  • id: 576642
    {'hecke_orbit_code': 33556686, 'n': 13, 'trace_an': 0}
  • id: 576643
    {'hecke_orbit_code': 33556686, 'n': 14, 'trace_an': 0}
  • id: 576644
    {'hecke_orbit_code': 33556686, 'n': 15, 'trace_an': 0}
  • id: 576645
    {'hecke_orbit_code': 33556686, 'n': 16, 'trace_an': 1}
  • id: 576646
    {'hecke_orbit_code': 33556686, 'n': 17, 'trace_an': -6}
  • id: 576647
    {'hecke_orbit_code': 33556686, 'n': 18, 'trace_an': -1}
  • id: 576648
    {'hecke_orbit_code': 33556686, 'n': 19, 'trace_an': 6}
  • id: 576649
    {'hecke_orbit_code': 33556686, 'n': 20, 'trace_an': 0}
  • id: 576650
    {'hecke_orbit_code': 33556686, 'n': 21, 'trace_an': 0}
  • id: 576651
    {'hecke_orbit_code': 33556686, 'n': 22, 'trace_an': -4}
  • id: 576652
    {'hecke_orbit_code': 33556686, 'n': 23, 'trace_an': -1}
  • id: 576653
    {'hecke_orbit_code': 33556686, 'n': 24, 'trace_an': 2}
  • id: 576654
    {'hecke_orbit_code': 33556686, 'n': 25, 'trace_an': -5}
  • id: 576655
    {'hecke_orbit_code': 33556686, 'n': 26, 'trace_an': 0}
  • id: 576656
    {'hecke_orbit_code': 33556686, 'n': 27, 'trace_an': 4}
  • id: 576657
    {'hecke_orbit_code': 33556686, 'n': 28, 'trace_an': 0}
  • id: 576658
    {'hecke_orbit_code': 33556686, 'n': 29, 'trace_an': 10}
  • id: 576659
    {'hecke_orbit_code': 33556686, 'n': 30, 'trace_an': 0}
  • id: 576660
    {'hecke_orbit_code': 33556686, 'n': 31, 'trace_an': -4}
  • id: 576661
    {'hecke_orbit_code': 33556686, 'n': 32, 'trace_an': -1}
  • id: 576662
    {'hecke_orbit_code': 33556686, 'n': 33, 'trace_an': -8}
  • id: 576663
    {'hecke_orbit_code': 33556686, 'n': 34, 'trace_an': 6}
  • id: 576664
    {'hecke_orbit_code': 33556686, 'n': 35, 'trace_an': 0}
  • id: 576665
    {'hecke_orbit_code': 33556686, 'n': 36, 'trace_an': 1}
  • id: 576666
    {'hecke_orbit_code': 33556686, 'n': 37, 'trace_an': -2}
  • id: 576667
    {'hecke_orbit_code': 33556686, 'n': 38, 'trace_an': -6}
  • id: 576668
    {'hecke_orbit_code': 33556686, 'n': 39, 'trace_an': 0}
  • id: 576669
    {'hecke_orbit_code': 33556686, 'n': 40, 'trace_an': 0}
  • id: 576670
    {'hecke_orbit_code': 33556686, 'n': 41, 'trace_an': 10}
  • id: 576671
    {'hecke_orbit_code': 33556686, 'n': 42, 'trace_an': 0}
  • id: 576672
    {'hecke_orbit_code': 33556686, 'n': 43, 'trace_an': -4}
  • id: 576673
    {'hecke_orbit_code': 33556686, 'n': 44, 'trace_an': 4}
  • id: 576674
    {'hecke_orbit_code': 33556686, 'n': 45, 'trace_an': 0}
  • id: 576675
    {'hecke_orbit_code': 33556686, 'n': 46, 'trace_an': 1}
  • id: 576676
    {'hecke_orbit_code': 33556686, 'n': 47, 'trace_an': -12}
  • id: 576677
    {'hecke_orbit_code': 33556686, 'n': 48, 'trace_an': -2}
  • id: 576678
    {'hecke_orbit_code': 33556686, 'n': 49, 'trace_an': 0}
  • id: 576679
    {'hecke_orbit_code': 33556686, 'n': 50, 'trace_an': 5}
  • id: 576680
    {'hecke_orbit_code': 33556686, 'n': 51, 'trace_an': 12}
  • id: 576681
    {'hecke_orbit_code': 33556686, 'n': 52, 'trace_an': 0}
  • id: 576682
    {'hecke_orbit_code': 33556686, 'n': 53, 'trace_an': -6}
  • id: 576683
    {'hecke_orbit_code': 33556686, 'n': 54, 'trace_an': -4}
  • id: 576684
    {'hecke_orbit_code': 33556686, 'n': 55, 'trace_an': 0}
  • id: 576685
    {'hecke_orbit_code': 33556686, 'n': 56, 'trace_an': 0}
  • id: 576686
    {'hecke_orbit_code': 33556686, 'n': 57, 'trace_an': -12}
  • id: 576687
    {'hecke_orbit_code': 33556686, 'n': 58, 'trace_an': -10}
  • id: 576688
    {'hecke_orbit_code': 33556686, 'n': 59, 'trace_an': 2}
  • id: 576689
    {'hecke_orbit_code': 33556686, 'n': 60, 'trace_an': 0}
  • id: 576690
    {'hecke_orbit_code': 33556686, 'n': 61, 'trace_an': 0}
  • id: 576691
    {'hecke_orbit_code': 33556686, 'n': 62, 'trace_an': 4}
  • id: 576692
    {'hecke_orbit_code': 33556686, 'n': 63, 'trace_an': 0}
  • id: 576693
    {'hecke_orbit_code': 33556686, 'n': 64, 'trace_an': 1}
  • id: 576694
    {'hecke_orbit_code': 33556686, 'n': 65, 'trace_an': 0}
  • id: 576695
    {'hecke_orbit_code': 33556686, 'n': 66, 'trace_an': 8}
  • id: 576696
    {'hecke_orbit_code': 33556686, 'n': 67, 'trace_an': 0}
  • id: 576697
    {'hecke_orbit_code': 33556686, 'n': 68, 'trace_an': -6}
  • id: 576698
    {'hecke_orbit_code': 33556686, 'n': 69, 'trace_an': 2}
  • id: 576699
    {'hecke_orbit_code': 33556686, 'n': 70, 'trace_an': 0}
  • id: 576700
    {'hecke_orbit_code': 33556686, 'n': 71, 'trace_an': -8}
  • id: 576701
    {'hecke_orbit_code': 33556686, 'n': 72, 'trace_an': -1}
  • id: 576702
    {'hecke_orbit_code': 33556686, 'n': 73, 'trace_an': 6}
  • id: 576703
    {'hecke_orbit_code': 33556686, 'n': 74, 'trace_an': 2}
  • id: 576704
    {'hecke_orbit_code': 33556686, 'n': 75, 'trace_an': 10}
  • id: 576705
    {'hecke_orbit_code': 33556686, 'n': 76, 'trace_an': 6}
  • id: 576706
    {'hecke_orbit_code': 33556686, 'n': 77, 'trace_an': 0}
  • id: 576707
    {'hecke_orbit_code': 33556686, 'n': 78, 'trace_an': 0}
  • id: 576708
    {'hecke_orbit_code': 33556686, 'n': 79, 'trace_an': -8}
  • id: 576709
    {'hecke_orbit_code': 33556686, 'n': 80, 'trace_an': 0}
  • id: 576710
    {'hecke_orbit_code': 33556686, 'n': 81, 'trace_an': -11}
  • id: 576711
    {'hecke_orbit_code': 33556686, 'n': 82, 'trace_an': -10}
  • id: 576712
    {'hecke_orbit_code': 33556686, 'n': 83, 'trace_an': 14}
  • id: 576713
    {'hecke_orbit_code': 33556686, 'n': 84, 'trace_an': 0}
  • id: 576714
    {'hecke_orbit_code': 33556686, 'n': 85, 'trace_an': 0}
  • id: 576715
    {'hecke_orbit_code': 33556686, 'n': 86, 'trace_an': 4}
  • id: 576716
    {'hecke_orbit_code': 33556686, 'n': 87, 'trace_an': -20}
  • id: 576717
    {'hecke_orbit_code': 33556686, 'n': 88, 'trace_an': -4}
  • id: 576718
    {'hecke_orbit_code': 33556686, 'n': 89, 'trace_an': 14}
  • id: 576719
    {'hecke_orbit_code': 33556686, 'n': 90, 'trace_an': 0}
  • id: 576720
    {'hecke_orbit_code': 33556686, 'n': 91, 'trace_an': 0}
  • id: 576721
    {'hecke_orbit_code': 33556686, 'n': 92, 'trace_an': -1}
  • id: 576722
    {'hecke_orbit_code': 33556686, 'n': 93, 'trace_an': 8}
  • id: 576723
    {'hecke_orbit_code': 33556686, 'n': 94, 'trace_an': 12}
  • id: 576724
    {'hecke_orbit_code': 33556686, 'n': 95, 'trace_an': 0}
  • id: 576725
    {'hecke_orbit_code': 33556686, 'n': 96, 'trace_an': 2}
  • id: 576726
    {'hecke_orbit_code': 33556686, 'n': 97, 'trace_an': 2}
  • id: 576727
    {'hecke_orbit_code': 33556686, 'n': 98, 'trace_an': 0}
  • id: 576728
    {'hecke_orbit_code': 33556686, 'n': 99, 'trace_an': 4}
  • id: 576729
    {'hecke_orbit_code': 33556686, 'n': 100, 'trace_an': -5}