Embedded newform data - 614.2.c.a.289.1

Formats: - HTML - YAML - JSON - 2026-10-12T09:18:01.737998

• 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': 2456, 'analytic_conductor': 4.902814684106615, 'analytic_rank': 1, 'analytic_rank_proved': True, 'char_conductor': 307, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [614, 3, [5], [2]], 'cm_discs': [], 'conrey_index': 17, 'dim': 2, 'field_disc': -3, 'field_disc_factorization': [[-1, 1], [3, 1]], 'field_poly': [1, -1, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 6, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [3, 1]]], 'hecke_orbit': 1, 'hecke_orbit_code': 137472508518, 'hecke_ring_generator_nbound': 11, 'hecke_ring_index': 1, 'hecke_ring_index_factorization': [], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 307, 3, 1, 3, 0]], 'is_cm': False, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '614.2.c.a', 'level': 614, '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': [2, 307], 'level_radical': 614, 'minimal_twist': '614.2.c.a', 'nf_label': '2.0.3.1', 'prim_orbit_index': 3, 'qexp_display': 'q+q^{2}-3q^{3}+q^{4}+(-4+4\\zeta_{6})q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 1, 'rm_discs': [], 'sato_tate_group': '1.2.3.c3', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '614.2.c', 'trace_display': [2, -6, -4, 0], 'trace_hash': 1454658459753923052, 'trace_moments': [0, {'__RealLiteral__': 0, 'data': '1.974', 'prec': 14}, 0, {'__RealLiteral__': 0, 'data': '11.680', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.673', 'prec': 14}, {'__RealLiteral__': 0, 'data': '106.260', 'prec': 20}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.014', 'prec': 7}, 'traces': [2, 2, -6, 2, -4, -6, 0, 2, 12, -4, -3, -6, 6, 0, 12, 2, -14, 12, -8, -4, 0, -3, -4, -6, -11, 6, -18, 0, 6, 12, -10, 2, 9, -14, 0, 12, 6, -8, -18, -4, 7, 0, -11, -3, -24, -4, -6, -6, 7, -11, 42, 6, 4, -18, -12, 0, 24, 6, -1, 12, 2, -10, 0, 2, 24, 9, -1, -14, 12, 0, -6, 12, -11, 6, 33, -8, 0, -18, -8, -4, 18, 7, -8, 0, 28, -11, -18, -3, -6, -24, 0, -4, 30, -6, 16, -6, 2, 7, -18, -11, -28, 42, 16, 6, 0, 4, 3, -18, -14, -12, -18, 0, -26, 24, 32, 6, 36, -1, 0, 12, 2, 2, -21, -10, 48, 0, -2, 2, 33, 24, -12, 9, 0, -1, 36, -14, 3, 12, 1, 0, 18, -6, 18, 12, -48, -11, -21, 6, 8, 33, -16, -8, -84, 0, 80, -18, -4, -8, -12, -4, 0, 18, 26, 7, 36, -8, -12, 0, -23, 28, -48, -11, -6, -18, 0, -3, 3, -6, -18, -24, 16, 0, -6, -4, 24, 30, 21, -6, 0, 16, 10, -6, -14, 2, -72, 7, -22, -18, 8, -11, 3, -28, 0, 42, -56, 16, -24, 6, 12, 0, -46, 4, 18, 3, -44, -18, 0, -14, 33, -12, -42, -18, -2, 0, -66, -26, -12, 24, -10, 32, 0, 6, 9, 36, 48, -1, 24, 0, 0, 12, 2, 2, 0, 2, 28, -21, -24, -10, 24, 48, -24, 0, 24, -2, -84, 2, -15, 33, 0, 24, 36, -12, 18, 9, 16, 0, 18, -1, 4, 36, -4, -14, 0, 3, 66, 12, 18, 1, -60, 0, -6, 18, 14, -6, -48, 18, 0, 12, 64, -48, -6, -11, 24, -21, 8, 6, 27, 8, -48, 33, 0, -16, 84, -8, -16, -84, -16, 0, -48, 80, 8, -18, -30, -4, 0, -8, 22, -12, -36, -4, -9, 0, 56, 18, -132, 26, 42, 7, 0, 36, 16, -8, 36, -12, -4, 0, 30, -23, 78, 28, 60, -48, 0, -11, -96, -6, 7, -18, 8, 0, -54, -3, -7, 3, 48, -6, 0, -18, 0, -24, -6, 16, -6, 0, -44, -6, 16, -4, 42, 24, 0, 30, -16, 21, -144, -6, 72, 0, -56, 16, 6, 10, 48, -6, 0, -14, -66, 2, -36, -72, 28, 7, 36, -22, 16, -18, -16, 8, 0, -11, 6, 3, -120, -28, -36, 0, 18, 42, 52, -56, -9, 16, 0, -24, 64, 6, -3, 12, 19, 0, 0, -46, -36, 4, 77, 18, 0, 3, -54, -44, 24, -18, -2, 0, 144, -14, 16, 33, 38, -12, 42, -42, -42, -18, -24, -2, -24, 0, -9, -66, -42, -26, 48, -12, 0, 24, -13, -10, 126, 32, -24, 0, -34, 6, -240, 9, -24, 36, 0, 48, 12, -1, -33, 24, 44, 0, 24, 0, -14, 12, -36, 2, 0, 2, -4, 0, 2, 2, -78, 28, 20, -21, -42, -24, -72, -10, 0, 24, -18, 48, 36, -24, -36, 0, 56, 24, 69, -2, 36, -84, 0, 2, 72, -15, -32, 33, 36, 0, 18, 24, 30, 36, 0, -12, 0, 18, 70, 9, 7, 16, -6, 0, 84, 18, -24, -1, 54, 4, 21, 36, -30, -4, -48, -14, -56, 0, 1, 3, 12, 66, -24, 12, 0, 18, -72, 1, -36, -60, 66, 0, -63, -6, -22, 18, 52, 14, 0, -6, -1, -48, 5, 18, -30, 0, -44, 12, 37, 64, 42, -48, 0, -6, 12, -11, 144, 24, 88, -21, 40, 8, 66, 6, 41, 27, 0, 8, -24, -48, 10, 33, -27, 0, -6, -16, -16, 84, -38, -8, 0, -16, -72, -84, -64, -16, 168, 0, -68, -48, 9, 80, 36, 8, 0, -18, -41, -30, -36, -4, -42, 0, 64, -8, 138, 22, -8, -12, -42, -36, -36, -4, 34, -9, 1, 0, 132, 56, -2, 18, 6, -132, 0, 26, -36, 42, -48, 7, -66, 0, 23, 36, -16, 16, 126, -8, 0, 36, 24, -12, 6, -4, -12, 0, 11, 30, 99, -23, -24, 78, 0, 28, 36, 60, 37, -48, 12, 0, 30, -11, -24, -96, -34, -6, 0, 7, -8, -18, -49, 8, -27, 0, 34, -54, -24, -3, -144, -7, 0, 3, 28, 48, -48, -6, -40, 0, -144, -18, 0, 0, 40, -24, 0, -6, -6, 16, 66, -6, 88, 0, -54, -44, 77, -6, 14, 16, -84, -4, -3, 42, 40, 24, 72, 0, 24, 30, -16, -16, -48, 21, 0, -144, -8, -6, 72, 72, -64, 0, -6, -56, -72, 16, 19, 6, 0, 10, 168, 48, -12, -6, 20, 0, 45, -14, 38, -66, -110, 2, 0, -36, -28, -72, 36, 28, -54, 7, 32, 36, -13, -22, -54, 16, 0, -18, 24, -16, -48, 8, -10, 0, 42, -11, -36, 6, -33, 3, 0, -120, -12, -28, 23, -36, -4, 0, 12, 18, -52, 42, 44, 52, 0, -56, -24, -9, -4, 16, -198, 0, 33, -24, -18, 64, -54, 6, -49, -3, 24, 12, 90, 19, 22, 0, -7, 0, 18, -46, 184, -36, 0, 4, -42, 77, -48, 18, -76, 0, 96, 3, -62, -54, 51, -44, 0, 24, 4, -18, -24, -2, -192, 0, 12, 144, 6, -14, 12, 16, 0, 33, 6, 38, -72, -12, -3, 42, -14, -42, -24, -42, -80, -18, 0, -24, -27, -2, 24, -24, 36, 0, 144, -9, 60, -66, -28, -42, 0, -26, -128, 48, 5, -12, -168, 0, 20, 24, 48, -13, 48, -10, 0, 126, -120, 32, 48, -24, -72, 0, -132, -34, 96, 6, -78, -240, -28, 9, -24, -24, 84, 36, 86, 0, 90, 48, 40, 12, 28, -1, 0, -33, 28, 24, 66, 44, -66, 0, -110, 24, -80, 0, 108, -14, 0, 12, -69, -36, 18, 2, 28, 0, -4, 2, -168, -4, -36, 0, 0, 2, 396, 2, -37, -78, -18, 28, -84, 20, -2, -21, 176, -42, 0, -24, 88, -72, 68, -10, -48, 0, -16, 24, -28, -18, -54, 48], '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], [-1.7320508075688772, 0.0], [0.5, 0.0], [-0.8944271909999159, -1.5491933384829668], [-1.224744871391589, 0.0], [0.0, 0.0], [0.3535533905932738, 0.0], [2.0, 0.0], [-0.6324555320336759, -1.0954451150103321], [-0.45226701686664544, -0.7833494518006403], [-0.8660254037844386, 0.0], [0.8320502943378437, 1.4411533842457842], [0.0, 0.0], [1.5491933384829668, 2.6832815729997477], [0.25, 0.0], [-1.697749375254331, 0.0], [1.4142135623730951, 0.0], [-0.9176629354822471, 0.0], [-0.4472135954999579, -0.7745966692414834], [0.0, 0.0], [-0.31980107453341566, -0.5539117094069973], [-0.41702882811414954, 0.7223151185146152], [-0.6123724356957945, 0.0], [-1.1, 1.905255888325765], [0.5883484054145521, 1.0190493307301363], [-1.7320508075688772, 0.0], [0.0, 0.0], [0.5570860145311556, -0.9649012813540153], [1.0954451150103321, 1.8973665961010275], [-0.8980265101338745, 1.5554275420956378], [0.1767766952966369, 0.0], [0.7833494518006403, 1.3568010505999364], [-1.200490095997562, 0.0], [0.0, 0.0], [1.0, 0.0], [0.4931969619160719, 0.8542421961772491], [-0.6488856845230502, 0.0], [-1.4411533842457842, -2.496150883013531], [-0.31622776601683794, -0.5477225575051661], [0.5466081666101212, -0.946753116400804], [0.0, 0.0], [-0.8387421368293256, -1.4527439954372794], [-0.22613350843332272, -0.39167472590032015], [-1.7888543819998317, -3.0983866769659336], [-0.29488391230979427, 0.5107539184552492], [-0.4375949744936837, 0.7579367289598671], [-0.4330127018922193, 0.0], [0.5, 0.8660254037844386], [-0.7778174593052023, 1.347219358530748], [2.9405881764588204, 0.0], [0.41602514716892186, 0.7205766921228921], [0.27472112789737807, 0.4758309514308865], [-1.224744871391589, 0.0], [-0.8090398349558905, 1.4012980994907414], [0.0, 0.0], [1.5894388284780525, 0.0], [0.3939192985791677, -0.6822882392210131], [-0.06509445549041193, 0.11274690420042432], [0.7745966692414834, 1.3416407864998738], [0.12803687993289598, -0.22176638128637186], [-0.6350006350009525, 1.0998533626601497], [0.0, 0.0], [0.125, 0.0], [1.4884168150705015, -2.5780135465419582], [0.5539117094069973, 0.959403223600247], [-0.06108472217815261, -0.10580184237878974], [-0.8488746876271654, 0.0], [0.7223151185146152, -1.2510864843424485], [0.0, 0.0], [-0.356034497458156, 0.6166698388447784], [0.7071067811865476, 0.0], [-0.6437263095787181, -1.1149666743591518], [0.34874291623145787, 0.6040404496926218], [1.905255888325765, -3.3], [-0.45883146774112354, 0.0], [0.0, 0.0], [-1.0190493307301363, -1.7650452162436563], [-0.4500351603704096, 0.0], [-0.22360679774997896, -0.3872983346207417], [1.0, 0.0], [0.38651034126196293, -0.6694555487165053], [-0.4390570399587614, 0.7604691006293735], [0.0, 0.0], [1.5185132047305931, 2.630142022557628], [-0.5930802526189113, -1.0272451305017392], [-0.9649012813540153, 1.6712580435934667], [-0.15990053726670783, -0.27695585470349865], [-0.317999364001908, -0.5507910552258941], [-1.2649110640673518, -2.1908902300206643], [0.0, 0.0], [-0.20851441405707477, 0.3611575592573076], [1.5554275420956378, -2.6940795304016234], [-0.309426373877638, 0.5359422007578722], [0.8207826816681233, 1.4216373066218218], [-0.30618621784789724, 0.0], [0.1015346165133619, 0.0], [0.3535533905932738, 0.6123724356957945], [-0.9045340337332909, -1.5666989036012806], [-0.55, 0.9526279441628825]], 'angles': [None, -0.4166666666666667, -0.40712514215854995, -0.4166666666666667, -0.1580256296946735, 0.07308314576116726, -0.41135967875557294, -0.3258659164556367, -0.48513096273466466, -0.3226263477427208, 0.26083294782698224, -0.0012474275350488867, -0.3246260312212269, -0.42497908395542233, -0.48875147624240667, -0.03904056694188096, -0.4270341014698836, -0.39623287276140406, -0.09306132496959557, -0.474602387947734, -0.47202709561665096, -0.28612197761895225, -0.48901036679851045, -0.1348388276777701, -0.2419166571782563, -0.37263596502130003, -0.1855226885657012, -0.3935058731163805, -0.46637778150084586, -0.35471046013938806, -0.09747465053935592, -0.4955113538051838, -0.06288080073652774, -0.4099149687023565, -0.2238049301722064, -0.47050177099184454, -0.44217968920431866, -0.16498559986656397, -0.2872875162699158, -0.11995666542208293, -0.30459554343632633, -0.31531489155474923, -0.35774999711953037, -0.2905335429644564, 0.22667283998156704, -0.22735932579021112, -0.3953999298628885, -0.42733245154360616, -0.1485217300120816, -0.1369267228448979, -0.03570601996081832, -0.25, -0.07307415898796762, 0.22010678158030772, -0.4941499787849493, 0.01030061024233929, -0.240290129477899, -0.2596739300348909, 0.0075978507558544395, -0.11197077653816642, -0.21664360801577448, -0.2930247099146404, None, -0.23191138488303686, -0.3196740067580697, 0.022658962742691833, -0.2147199904382026, 0.06887706337175062, -0.05325093478109253, -0.38232328658702536, -0.4464892502685466, -0.08333333333333333, -0.014769601182057742, -0.1513068787748965, -0.37773010579107946, -0.1449467565953424, 0.2663117759131156, -0.14909032064912706, -0.3927331079163623, -0.13888452174782215, -0.33985461525873206, -0.25, -0.3185795101325873, -0.4243181121832345, 0.0974155670371357, -0.33312575432948416, -0.4507254636963301, -0.4658373619844981, -0.2950757056200931, -0.43835878154893587, -0.4896362451962295, -0.13514760554148952, -0.07611886399066688, -0.34214801219890173, -0.28228229833860263, -0.43506328561025304, -0.18469290556324158, -0.3025450470831648, -0.25, -0.4717827610838544], 'char_orbit_index': 3, 'conrey_index': 289, 'dual_conrey_index': 17, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 1, 'embedding_m': 2, 'embedding_root_imag': -0.8660254037844386, 'embedding_root_real': 0.5, 'hecke_orbit': 1, 'hecke_orbit_code': 137472508518, 'label': '614.2.c.a.289.1', 'level': 614, '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

  
  {'Nk2': 2456, 'analytic_conductor': 4.902814684106615, 'char_conductor': 307, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 3, 'char_orbit_label': 'c', 'char_order': 3, 'char_parity': 1, 'char_values': [614, 3, [5], [2]], 'conrey_index': 17, 'cusp_dim': 150, 'dim': 54, 'eis_dim': 8, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 137472508518, 'hecke_orbit_dims': [2, 4, 22, 26], 'label': '614.2.c', 'level': 614, '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': [2, 307], 'level_radical': 614, 'mf_dim': 158, 'mf_new_dim': 54, 'num_forms': 4, 'prim_orbit_index': 3, 'relative_dim': 27, 'sturm_bound': 154, 'trace_bound': 1, 'trace_display': [2, 2, -2, -8], 'traces': [54, 2, 2, 54, -2, -6, -8, 2, 48, 0, -5, 2, -4, 0, 18, 54, -26, -4, -4, -2, -8, -11, -4, -6, -23, -4, 2, -8, -4, -6, 14, 2, -11, -14, 68, 48, 4, -12, -18, 0, 1, -20, 15, -5, -48, 2, 2, 2, -43, -23, -10, -4, 10, 30, 14, 0, 44, 10, 15, 18, 10, -10, -48, 54, 18, 13, 25, -26, 6, -16, 0, -4, 13, 0, 27, -4, -40, -26, -32, -2, 54, -9, -14, -8, -8, -5, 4, -11, -24, 10, 76, -4, 20, -10, 8, -6, -74, -9, 12, -23, -68, 50, -8, -4, -108, -14, -15, 2, -6, -34, -38, -8, 10, -32, 16, -4, 4, -13, -58, -6, -90, 6, -29, 14, 12, 12, -42, 2, 63, 12, -36, -11, 28, -19, 64, -14, -13, 8, 23, 68, -18, 4, 8, 48, 68, -15, -35, 4, -48, 7, 4, -12, -100, 56, -88, -18, -2, -4, -38, 0, -16, -94, 98, 1, 32, -32, -4, -20, -49, 16, -148, 15, -18, -62, -76, -5, -77, -22, -50, -48, 36, 8, -26, 2, -14, 28, -21, 2, 66, 28, 12, 2, -22, -38, -68, -43, -24, -74, -96, -23, 19, -84, -94, -10, 100, 96, -102, -4, -26, 128, 46, 10, 46, -59, -74, 30, -30, 18, 33, 14, -78, -72, 52, 0, -10, 14, 62, 44, 48, -32, 92, 10, -5, 32, 316, 15, 88, 42, -76, 18, 62, -54, 48, 10, 18, 15, 70, -10, 108, -24, -16, -48, 164, -30, 22, 54, -35, 21, 112, 18, -180, 20, -118, 13, 104, -48, 44, 25, 80, -80, -36, -26, 32, -57, 106, 6, 32, 51, -46, -16, 30, 22, 74, 0, -24, 38, 56, -4, 128, -48, 222, 13, 48, 37, 48, 0, -95, -12, -124, 27, 116, 54, 192, -4, -220, -180, 76, -40, 76, 56, 4, -26, -26, -10, 16, -32, 18, 20, 240, -2, 7, -20, 36, 54, 164, 274, 52, -9, 12, 86, 92, -14, -162, 92, 34, -8, 72, -19, -170, -8, -84, 16, 104, -5, -36, 54, -45, 4, -6, 88, 22, -11, -37, -21, 96, -24, 52, 154, 82, 10, -34, 4, 120, 76, -192, 44, 88, -4, 40, 64, 56, 20, 70, -13, -392, -10, 264, -52, -80, 8, 64, 80, 260, -6, -94, -158, -186, -74, 10, -64, 40, -9, -30, -20, 172, 12, 86, 240, 2, -23, -26, -37, -280, -68, -270, 22, 102, 50, -12, -32, -117, -8, -44, -120, 140, -4, -203, 64, 23, -108, -4, -94, -2, -14, 107, 14, 76, -15, -134, -146, 100, 2, 12, 16, -92, -6, 6, -67, 120, -34, 68, -54, 126, -38, 80, 40, -40, -8, 25, -42, 374, 10, 116, -14, -34, -32, -93, -80, -294, 16, -116, -68, -112, -4, 4, -39, -102, 4, -300, 172, -52, -13, 51, -236, 132, -58, 26, 80, 18, -6, -136, -18, 38, -90, 6, 144, -140, 6, -242, 24, -72, -29, -74, -16, 136, 14, 28, 80, -170, 12, -416, -72, -84, 12, -50, -152, -39, -42, 100, -94, 40, 2, 132, 1, 20, 63, -32, -32, 114, 12, -20, 26, 92, -36, -2, -2, 46, -11, -41, 124, 74, 28, -40, 78, -132, -19, -222, -76, -113, 64, -106, 20, -66, -14, -94, 16, 71, -13, -26, 270, -150, 8, 220, 60, -24, 23, -412, 8, -120, 68, -103, 70, -110, -18, 96, -26, -254, 4, -37, -34, -121, 8, -124, -62, -44, 48, 77, 0, -10, 68, -14, -130, 138, -15, 186, -56, -192, -35, 42, -84, -40, 4, 147, 183, 44, -48, 8, 12, -152, 7, 49, -16, -84, 4, 16, -44, -114, -12, 230, -152, -60, -100, 120, 216, 232, 56, 172, 64, 33, -88, -82, 80, 432, -18, -27, 146, -110, -2, -66, -8, -132, -4, 34, -2, -202, -38, -210, 116, -12, 0, 370, -37, 11, -16, 292, -60, -4, -94, -38, 84, -10, 98, -128, -22, 124, 1, 182, -48, 67, 32, -132, 420, -128, -32, -40, -12, 138, -4, 236, 92, 48, -20, 123, -50, 233, -49, -136, 358, 56, 16, 128, -220, 105, -148, 0, 132, 56, 15, -6, 224, -226, -18, -352, 15, -160, -62, -261, -96, -169, -76, 14, -70, -2, -5, 456, -67, 32, -77, -52, -48, -600, -22, -2, -62, -392, -50, 68, -24, -256, -48, 20, 250, 92, 36, -46, -132, -152, 8, 354, -48, -3, -26, -64, 64, -98, 2, 73, 98, 0, -14, 108, -112, 222, 28, -98, -40, 12, -21, 100, -236, -24, 2, 158, 88, -182, 66, -98, 212, 296, 28, -237, -96, -276, 12, 152, 44, -560, 2, -304, -112, -117, -22, -140, -48, -124, -38, -108, -76, 218, -68, -128, 50, -64, -43, -80, 196, -5, -24, -234, 12, -152, -74, -60, -58, -10, -96, -32, 12, -10, -23, -254, 2, -47, 19, 122, 116, -488, -84, -253, -210, -106, -94, -132, -36, -82, -10, -86, 140, 716, 100, -176, 19, -32, 96, 642, 74, 117, -102, 8, -40, 38, -4, 149, 73, -108, -26, 220, 135, 150, 128, 21, -16, 90, 46, 72, -252, 64, 10, 258, 129, 320, 46, -68, 112, 204, -59, 290, 42, 57, -74, 200, 6, 270, 30, 92, -110, 252, -30, 16, 516, -24, 18, 224, 82, -222, 33, -156, 42, 62, 14, 85, 262, 74, -78, 144, -426, 624, -72, 24, 34, 143, 52, 192, -8, 204, 0, 44, -61, 140, -10, -34, 158, -136, 14, -32, 66, 119, 62, 40, 58, -30, 44, -136, 43, -340, 48, 324, 366, -356, -32, 116, -144, 0, 92, -188, -78, 548, 10, -26, -424, 108, -5, 708, -170, 108, 32, 206, -196, 682, 316, 150, 32, 34, 15, -440, -145, -144, 88, 70, -70, -176, 42, -442, -34, -116, -76, 576, -76, 284, 18, -231, -68, -86, 62, -114, 104, 88, -54, 128, -118, 152, 48, 220, 56, 568, 10, -1, 418, -160, 18, 28, -12, -150, 15, 344, 64, 166, 70, -412, -168, 148, -10, 36, -80, 150, 108, 284, -234, -216, -24], '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: 1019171
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472508518, 'source_is_minimal': True, 'source_label': '614.2.c.a.289.1', 'source_level': 614, 'target_conrey_index': 289, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137472508518, 'target_is_minimal': True, 'target_label': '614.2.c.a.289.1', 'target_level': 614, 'twist_class_label': '614.2.c.a.17.1', 'twist_class_level': 614, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 1019172
    {'conductor': 307, 'degree': 2, 'order': 3, 'parity': 1, 'source_conrey_index': 289, 'source_dim': 2, 'source_embedding_index': 1, 'source_hecke_orbit_code': 137472508518, 'source_is_minimal': True, 'source_label': '614.2.c.a.289.1', 'source_level': 614, 'target_conrey_index': 17, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 137472508518, 'target_is_minimal': True, 'target_label': '614.2.c.a.17.1', 'target_level': 614, 'twist_class_label': '614.2.c.a.17.1', 'twist_class_level': 614, 'twisting_char_label': '307.17', 'twisting_conrey_index': 17, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1122125
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 137472508518, 'p': 2}
  • id: 1122126
    {'charpoly_factorization': [[[3, 1], 2]], 'hecke_orbit_code': 137472508518, 'p': 3}
  • id: 1122127
    {'charpoly_factorization': [[[16, 4, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 5}
  • id: 1122128
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 137472508518, 'p': 7}
  • id: 1122129
    {'charpoly_factorization': [[[9, 3, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 11}
  • id: 1122130
    {'charpoly_factorization': [[[36, -6, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 13}
  • id: 1122131
    {'charpoly_factorization': [[[7, 1], 2]], 'hecke_orbit_code': 137472508518, 'p': 17}
  • id: 1122132
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 137472508518, 'p': 19}
  • id: 1122133
    {'charpoly_factorization': [[[16, 4, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 23}
  • id: 1122134
    {'charpoly_factorization': [[[36, -6, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 29}
  • id: 1122135
    {'charpoly_factorization': [[[100, 10, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 31}
  • id: 1122136
    {'charpoly_factorization': [[[36, -6, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 37}
  • id: 1122137
    {'charpoly_factorization': [[[49, -7, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 41}
  • id: 1122138
    {'charpoly_factorization': [[[121, 11, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 43}
  • id: 1122139
    {'charpoly_factorization': [[[36, 6, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 47}
  • id: 1122140
    {'charpoly_factorization': [[[16, -4, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 53}
  • id: 1122141
    {'charpoly_factorization': [[[1, 1, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 59}
  • id: 1122142
    {'charpoly_factorization': [[[4, -2, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 61}
  • id: 1122143
    {'charpoly_factorization': [[[1, 1, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 67}
  • id: 1122144
    {'charpoly_factorization': [[[36, 6, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 71}
  • id: 1122145
    {'charpoly_factorization': [[[121, 11, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 73}
  • id: 1122146
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 137472508518, 'p': 79}
  • id: 1122147
    {'charpoly_factorization': [[[64, 8, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 83}
  • id: 1122148
    {'charpoly_factorization': [[[36, 6, 1], 1]], 'hecke_orbit_code': 137472508518, 'p': 89}
  • id: 1122149
    {'charpoly_factorization': [[[-1, 1], 2]], 'hecke_orbit_code': 137472508518, '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': 3, 'hecke_orbit': 1, 'label': '614.2.c.a', 'level': 614, '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: 5629075
    {'hecke_orbit_code': 137472508518, 'n': 1, 'trace_an': 2}
  • id: 5629076
    {'hecke_orbit_code': 137472508518, 'n': 2, 'trace_an': 2}
  • id: 5629077
    {'hecke_orbit_code': 137472508518, 'n': 3, 'trace_an': -6}
  • id: 5629078
    {'hecke_orbit_code': 137472508518, 'n': 4, 'trace_an': 2}
  • id: 5629079
    {'hecke_orbit_code': 137472508518, 'n': 5, 'trace_an': -4}
  • id: 5629080
    {'hecke_orbit_code': 137472508518, 'n': 6, 'trace_an': -6}
  • id: 5629081
    {'hecke_orbit_code': 137472508518, 'n': 7, 'trace_an': 0}
  • id: 5629082
    {'hecke_orbit_code': 137472508518, 'n': 8, 'trace_an': 2}
  • id: 5629083
    {'hecke_orbit_code': 137472508518, 'n': 9, 'trace_an': 12}
  • id: 5629084
    {'hecke_orbit_code': 137472508518, 'n': 10, 'trace_an': -4}
  • id: 5629085
    {'hecke_orbit_code': 137472508518, 'n': 11, 'trace_an': -3}
  • id: 5629086
    {'hecke_orbit_code': 137472508518, 'n': 12, 'trace_an': -6}
  • id: 5629087
    {'hecke_orbit_code': 137472508518, 'n': 13, 'trace_an': 6}
  • id: 5629088
    {'hecke_orbit_code': 137472508518, 'n': 14, 'trace_an': 0}
  • id: 5629089
    {'hecke_orbit_code': 137472508518, 'n': 15, 'trace_an': 12}
  • id: 5629090
    {'hecke_orbit_code': 137472508518, 'n': 16, 'trace_an': 2}
  • id: 5629091
    {'hecke_orbit_code': 137472508518, 'n': 17, 'trace_an': -14}
  • id: 5629092
    {'hecke_orbit_code': 137472508518, 'n': 18, 'trace_an': 12}
  • id: 5629093
    {'hecke_orbit_code': 137472508518, 'n': 19, 'trace_an': -8}
  • id: 5629094
    {'hecke_orbit_code': 137472508518, 'n': 20, 'trace_an': -4}
  • id: 5629095
    {'hecke_orbit_code': 137472508518, 'n': 21, 'trace_an': 0}
  • id: 5629096
    {'hecke_orbit_code': 137472508518, 'n': 22, 'trace_an': -3}
  • id: 5629097
    {'hecke_orbit_code': 137472508518, 'n': 23, 'trace_an': -4}
  • id: 5629098
    {'hecke_orbit_code': 137472508518, 'n': 24, 'trace_an': -6}
  • id: 5629099
    {'hecke_orbit_code': 137472508518, 'n': 25, 'trace_an': -11}
  • id: 5629100
    {'hecke_orbit_code': 137472508518, 'n': 26, 'trace_an': 6}
  • id: 5629101
    {'hecke_orbit_code': 137472508518, 'n': 27, 'trace_an': -18}
  • id: 5629102
    {'hecke_orbit_code': 137472508518, 'n': 28, 'trace_an': 0}
  • id: 5629103
    {'hecke_orbit_code': 137472508518, 'n': 29, 'trace_an': 6}
  • id: 5629104
    {'hecke_orbit_code': 137472508518, 'n': 30, 'trace_an': 12}
  • id: 5629105
    {'hecke_orbit_code': 137472508518, 'n': 31, 'trace_an': -10}
  • id: 5629106
    {'hecke_orbit_code': 137472508518, 'n': 32, 'trace_an': 2}
  • id: 5629107
    {'hecke_orbit_code': 137472508518, 'n': 33, 'trace_an': 9}
  • id: 5629108
    {'hecke_orbit_code': 137472508518, 'n': 34, 'trace_an': -14}
  • id: 5629109
    {'hecke_orbit_code': 137472508518, 'n': 35, 'trace_an': 0}
  • id: 5629110
    {'hecke_orbit_code': 137472508518, 'n': 36, 'trace_an': 12}
  • id: 5629111
    {'hecke_orbit_code': 137472508518, 'n': 37, 'trace_an': 6}
  • id: 5629112
    {'hecke_orbit_code': 137472508518, 'n': 38, 'trace_an': -8}
  • id: 5629113
    {'hecke_orbit_code': 137472508518, 'n': 39, 'trace_an': -18}
  • id: 5629114
    {'hecke_orbit_code': 137472508518, 'n': 40, 'trace_an': -4}
  • id: 5629115
    {'hecke_orbit_code': 137472508518, 'n': 41, 'trace_an': 7}
  • id: 5629116
    {'hecke_orbit_code': 137472508518, 'n': 42, 'trace_an': 0}
  • id: 5629117
    {'hecke_orbit_code': 137472508518, 'n': 43, 'trace_an': -11}
  • id: 5629118
    {'hecke_orbit_code': 137472508518, 'n': 44, 'trace_an': -3}
  • id: 5629119
    {'hecke_orbit_code': 137472508518, 'n': 45, 'trace_an': -24}
  • id: 5629120
    {'hecke_orbit_code': 137472508518, 'n': 46, 'trace_an': -4}
  • id: 5629121
    {'hecke_orbit_code': 137472508518, 'n': 47, 'trace_an': -6}
  • id: 5629122
    {'hecke_orbit_code': 137472508518, 'n': 48, 'trace_an': -6}
  • id: 5629123
    {'hecke_orbit_code': 137472508518, 'n': 49, 'trace_an': 7}
  • id: 5629124
    {'hecke_orbit_code': 137472508518, 'n': 50, 'trace_an': -11}
  • id: 5629125
    {'hecke_orbit_code': 137472508518, 'n': 51, 'trace_an': 42}
  • id: 5629126
    {'hecke_orbit_code': 137472508518, 'n': 52, 'trace_an': 6}
  • id: 5629127
    {'hecke_orbit_code': 137472508518, 'n': 53, 'trace_an': 4}
  • id: 5629128
    {'hecke_orbit_code': 137472508518, 'n': 54, 'trace_an': -18}
  • id: 5629129
    {'hecke_orbit_code': 137472508518, 'n': 55, 'trace_an': -12}
  • id: 5629130
    {'hecke_orbit_code': 137472508518, 'n': 56, 'trace_an': 0}
  • id: 5629131
    {'hecke_orbit_code': 137472508518, 'n': 57, 'trace_an': 24}
  • id: 5629132
    {'hecke_orbit_code': 137472508518, 'n': 58, 'trace_an': 6}
  • id: 5629133
    {'hecke_orbit_code': 137472508518, 'n': 59, 'trace_an': -1}
  • id: 5629134
    {'hecke_orbit_code': 137472508518, 'n': 60, 'trace_an': 12}
  • id: 5629135
    {'hecke_orbit_code': 137472508518, 'n': 61, 'trace_an': 2}
  • id: 5629136
    {'hecke_orbit_code': 137472508518, 'n': 62, 'trace_an': -10}
  • id: 5629137
    {'hecke_orbit_code': 137472508518, 'n': 63, 'trace_an': 0}
  • id: 5629138
    {'hecke_orbit_code': 137472508518, 'n': 64, 'trace_an': 2}
  • id: 5629139
    {'hecke_orbit_code': 137472508518, 'n': 65, 'trace_an': 24}
  • id: 5629140
    {'hecke_orbit_code': 137472508518, 'n': 66, 'trace_an': 9}
  • id: 5629141
    {'hecke_orbit_code': 137472508518, 'n': 67, 'trace_an': -1}
  • id: 5629142
    {'hecke_orbit_code': 137472508518, 'n': 68, 'trace_an': -14}
  • id: 5629143
    {'hecke_orbit_code': 137472508518, 'n': 69, 'trace_an': 12}
  • id: 5629144
    {'hecke_orbit_code': 137472508518, 'n': 70, 'trace_an': 0}
  • id: 5629145
    {'hecke_orbit_code': 137472508518, 'n': 71, 'trace_an': -6}
  • id: 5629146
    {'hecke_orbit_code': 137472508518, 'n': 72, 'trace_an': 12}
  • id: 5629147
    {'hecke_orbit_code': 137472508518, 'n': 73, 'trace_an': -11}
  • id: 5629148
    {'hecke_orbit_code': 137472508518, 'n': 74, 'trace_an': 6}
  • id: 5629149
    {'hecke_orbit_code': 137472508518, 'n': 75, 'trace_an': 33}
  • id: 5629150
    {'hecke_orbit_code': 137472508518, 'n': 76, 'trace_an': -8}
  • id: 5629151
    {'hecke_orbit_code': 137472508518, 'n': 77, 'trace_an': 0}
  • id: 5629152
    {'hecke_orbit_code': 137472508518, 'n': 78, 'trace_an': -18}
  • id: 5629153
    {'hecke_orbit_code': 137472508518, 'n': 79, 'trace_an': -8}
  • id: 5629154
    {'hecke_orbit_code': 137472508518, 'n': 80, 'trace_an': -4}
  • id: 5629155
    {'hecke_orbit_code': 137472508518, 'n': 81, 'trace_an': 18}
  • id: 5629156
    {'hecke_orbit_code': 137472508518, 'n': 82, 'trace_an': 7}
  • id: 5629157
    {'hecke_orbit_code': 137472508518, 'n': 83, 'trace_an': -8}
  • id: 5629158
    {'hecke_orbit_code': 137472508518, 'n': 84, 'trace_an': 0}
  • id: 5629159
    {'hecke_orbit_code': 137472508518, 'n': 85, 'trace_an': 28}
  • id: 5629160
    {'hecke_orbit_code': 137472508518, 'n': 86, 'trace_an': -11}
  • id: 5629161
    {'hecke_orbit_code': 137472508518, 'n': 87, 'trace_an': -18}
  • id: 5629162
    {'hecke_orbit_code': 137472508518, 'n': 88, 'trace_an': -3}
  • id: 5629163
    {'hecke_orbit_code': 137472508518, 'n': 89, 'trace_an': -6}
  • id: 5629164
    {'hecke_orbit_code': 137472508518, 'n': 90, 'trace_an': -24}
  • id: 5629165
    {'hecke_orbit_code': 137472508518, 'n': 91, 'trace_an': 0}
  • id: 5629166
    {'hecke_orbit_code': 137472508518, 'n': 92, 'trace_an': -4}
  • id: 5629167
    {'hecke_orbit_code': 137472508518, 'n': 93, 'trace_an': 30}
  • id: 5629168
    {'hecke_orbit_code': 137472508518, 'n': 94, 'trace_an': -6}
  • id: 5629169
    {'hecke_orbit_code': 137472508518, 'n': 95, 'trace_an': 16}
  • id: 5629170
    {'hecke_orbit_code': 137472508518, 'n': 96, 'trace_an': -6}
  • id: 5629171
    {'hecke_orbit_code': 137472508518, 'n': 97, 'trace_an': 2}
  • id: 5629172
    {'hecke_orbit_code': 137472508518, 'n': 98, 'trace_an': 7}
  • id: 5629173
    {'hecke_orbit_code': 137472508518, 'n': 99, 'trace_an': -18}
  • id: 5629174
    {'hecke_orbit_code': 137472508518, 'n': 100, 'trace_an': -11}